Next Article in Journal
Unveiling the Influence of Artificial Intelligence and Machine Learning on Financial Markets: A Comprehensive Analysis of AI Applications in Trading, Risk Management, and Financial Operations
Previous Article in Journal
Sustaining Retirement during Lockdown: Annuitized Income and Older American’s Financial Well-Being before and during the COVID-19 Pandemic
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Hospital Costing Methods: Four Decades of Literature Review

by
Isabel C. P. Marques
1,2 and
Maria-Ceu Alves
2,*
1
Centre for Public Administration and Public Policies, Institute of Social and Political Sciences, Universidade de Lisboa, 1300-663 Lisbon, Portugal
2
NECE-UBI Research Unit in Business Sciences, University of Beira Interior, 6201-001 Covilhã, Portugal
*
Author to whom correspondence should be addressed.
J. Risk Financial Manag. 2023, 16(10), 433; https://doi.org/10.3390/jrfm16100433
Submission received: 1 September 2023 / Revised: 22 September 2023 / Accepted: 27 September 2023 / Published: 4 October 2023
(This article belongs to the Section Business and Entrepreneurship)

Abstract

:
This study aims to identify and classify the costing methods used in hospitals in recent decades and to analyze the research carried out in this area, to identify and characterize the main lines of research and the research paradigms used. To this end, a systematic literature review was carried out, mapping 1067 articles collected from the ISI Web of Science and Scopus databases. The articles were selected by two independent researchers. To ensure the quality of the SLR, AMSTAR 2 was used as well as matrices for quantitative studies, and for qualitative articles. Additionally, the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) systematic review process was followed to systematize the article selection process. Of the 1067 articles screened, 172 articles met the inclusion criteria. The results point to a growing interest among researchers and a predominance of the positive paradigm, albeit with an increase in interpretative research. There is a growing production of descriptive analyses of hospital processes and the costing of pathologies, with a predominance of the ABC method and analyses of costs and reimbursements for diagnosis-related groups. As a contribution, a conceptual model is proposed that aims to help the performance of hospital institutions, as well as a proposal for a future agenda based on this model.

1. Introduction

Healthcare costs now represent a significant proportion of gross domestic product (GDP) in most countries. After the pressure from the recent pandemic crisis, the healthcare sector is facing significant challenges as a result of market demands, competition, and regulation, which are pressuring hospitals to change the way they operate and make decisions. The need to improve the performance of hospitals is evident, but at the same time, there is the possibility of visualizing an epistemological disquiet in the face of the different currents shared in the social sciences, especially in management, where they find great scope for development. The rapid evolution of technological equipment and therapeutic options and the high prices of medical materials, among other factors, create an environment in which it is not only advantageous but necessary to conduct cost studies in hospital institutions (Zheng et al. 2018).
On the other hand, there is a need to create a coherent body of knowledge in the field. Here, it is necessary to take into account the influence of paradigms on the construction of the meaning of reality and the ability to communicate that same reality from an objective or subjective standpoint on the part of the researcher. In this sense, the maturing of management research has aroused growing interest because of its contribution to the construction of structured and coherent knowledge. The importance of understanding epistemological issues related to research and knowledge production in management has led researchers to delve deeper into the subject (Burrell and Morgan 1979; Baxter and Chua 2003; Kakkuri-Knuuttila et al. 2008).
The hospital environment presents both opportunities and challenges for researchers and illustrates how hospitals’ choices of costing methods are guided by the institutional environment in which they operate. Incorporating the diversity of this institutional environment into research can help researchers make better predictions about costing systems combined with governance models for better performance analyses (Cardinaels and Soderstrom 2013).
In this way, strategic cost management becomes an excellent alternative to be used by organizations to guide decision making and is traditionally seen as the process of assessing the financial impact of management decisions (Marques and Carvalho 2020). Cost accounting can provide relevant information for hospital management through its tools for inventory valuation (absorption costing), control (standard costing), decision making (variable costing, activity-based costing), reimbursement for surgical procedures (diagnosis-related groups (DRGs)), and management artefacts in the area of strategic management (cost-effectiveness analysis, quality costs, statistical analyses) (Vogl et al. 2012; Chapman et al. 2014; Russell et al. 2016).
In this context, the aim is to explore the research carried out into the costing methods used in hospital organizations in recent decades by analyzing the articles published over 42 years, listing the main costing systems and the characteristics of strategic cost management identified in the literature and characterizing the predominant research paradigms, using a protocol adapted from Tranfield et al. (2003) and Massaro et al. (2016). The paradigm shift in healthcare management is creating constant social, political, and economic pressure to deliver high-quality, efficient services at the lowest cost. In addition to complexity, the larger size of hospitals means there are numerous costs to be known. It is necessary to know the cost of surgical procedures, the cost of introducing new drugs or new technologies, and the true cost of hospitalizations or emergency room visits in order to better negotiate with health insurance plans (private hospitals) or government reimbursements (public hospitals). Therefore, there is a need to fill this gap by identifying both the costing methodologies that hospitals are using and where and for what purpose they are being used. The multiparadigmatic endeavor in the field of management accounting is not new, requiring researchers to be careful and take positions about the conceptions of science and knowledge involved (Burrell and Morgan 1979; Morgan 2007). The path proposed for this journey passes through the conceptions of epistemology recognized in the field of science in general and management in particular, presenting the most emblematic characteristics involved in cost accounting, these points being highly relevant for the decision-making process of hospital administrators (Abernethy et al. 2006; Chapman et al. 2016).
The article contributes to the literature by proposing a model that combines different types of costing in the search for better financial performance of hospital institutions without compromising the quality of services provided to patients (Eldenburg and Krishnan 2006; Labro and Stice-Lawrence 2020). Furthermore, the present study contributes to the identification of possible costs at different levels of the hospital, such as at the level of sectoral processes (laundry service, nutrition service), surgical procedures (appendectomy, cardiac surgery), and introduction of new drug therapies, and for diagnostic and/or therapeutic support exams, in addition to including the costs of processes performed by the multidisciplinary team (doctors, nurses). Analyzing the findings presented here leads to a proposal for a future agenda to guide further research into costing methods in hospital institutions and contribute to better institutional performance.
The remainder of this paper is structured as follows; Following this introduction, Section 2 describes the methodology used to conduct the review. Section 3 presents and discusses the findings. Finally, Section 4 presents the main conclusions, limitations of the study, and an agenda for future research.

2. Methodology

In terms of methodology, a systematic literature review (SLR) was used to identify the main costing methods used in hospitals over 42 years, and the selection of trends in studies of hospital costing systems included the review of key articles using guidelines and strategies to increase the specificity of the search. SLRs help us determine what we know about a topic, such as the costing methods used in hospitals. They also help us determine what needs to be studied (Owens 2021). A SLR involves adopting scientific strategies to reduce bias and to collect, critically appraise, and synthesize all relevant studies that address a specific topic (Cook et al. 1997). Thus, the selection of studies, carried out by two independent researchers, involved the screening of the identified titles and abstracts according to the defined inclusion and exclusion criteria, such as belonging to the “hospital” sector. The review process is shown in Figure 1 and follows the guidelines of Tranfield et al. (2003).
According to Tranfield et al. (2003), presenting the search strategy ensures that it can be replicated and makes it possible to detail the ideas that guide the researchers in developing the SLR (Massaro et al. 2016). In this context, it is essential to draw up a protocol identifying the starting question of the review, which methods will be used, which types of studies will be located, which media will be used, and the format of the structure used to analyze the studies (Petticrew and Roberts 2008). The process followed is shown in Figure 1.
To identify relevant studies, we systematically searched two major databases: Scopus and ISI Web of Science databases. In line with previous literature, our study, like most of the bibliometric studies in the fields of business, management, and accounting (e.g., Castriotta et al. 2019; Ferreira 2018; Kroon et al. 2021; Kroon and Alves 2023a, 2023b; Nayak et al. 2022; Rojas-Lamorena et al. 2022; Uyar et al. 2020), analyzes articles written in English and published in peer-reviewed international journals indexed in the Scopus and Web of Science (WOS) databases. These databases produce the highest-quality publications and are considered the most reliable source of knowledge in various scientific fields (Caputo et al. 2021; Guz and Rushchitsky 2009). They are used to ensure the homogeneity of the sample and the reliability of the study’s results (Ferreira 2018; Nayak et al. 2022).
Within the set of options for choosing articles on hospital costing, the keywords “cost accounting”, “management accounting”, “costing systems”, and “hospital costs” were used in the “article title”, “abstract”, “keywords” field, with the addition of the search expression “and”. A total of 964 articles were obtained from the ISI Web of Science and 103 from the Scopus database (Figure 2). The limitations imposed refer to studies in the form of articles and literature reviews, written in English. Additionally, 5 articles were eliminated as duplicates in both databases. Finally, and regarding the period of searching, the first identified studies were considered.
“There are number of checklists available to guide the systematic review process that range from a few steps to many; the best choice is often guided by level of expertise and the need for detailed instruction” (Owens 2021, p. 69). A Measurement Tool to Assess Systematic Reviews (AMSTAR 2) was used to ensure the methodological quality of systematic reviews. For quantitative studies, the matrix of Law et al. (1998) was utilized, and for qualitative articles, the matrix of Letts et al. (2007) was used. The assessment matrices aim to qualitatively analyze each article included in this systematic review. Using a grid, created in Excel, the selected articles were divided into qualitative, quantitative, and systematic review categories and submitted to 17 questions (“yes” or no”), among them, objective was clearly defined, whether the relevant literature was analyzed, whether the design was appropriate to the research question, whether the method was described in detail, among others. Three studies were excluded because they did not meet the required quality standards, and 12 were excluded because they did not have a focus on hospital costs (see Figure 2). A total of 172 studies focusing on hospital costs were included in this SLR after content analysis of the 184 full articles.
Systematic reviews should be reported in a comprehensive and transparent manner, and to achieve a transparent systematization, this paper follows the method outlined in the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) Statement (Liberati et al. 2009; Page et al. 2021). The PRISMA flowchart that illustrates the steps in this systematic literature review is shown in Figure 2.
The starting point for this review was to understand how research into hospital costing systems has evolved over the last four decades and the types of analyses referred to, as well as identify the research paradigm followed (Burrell and Morgan 1979).

3. Results and Discussion

This section provides the answer to our research question “What is the current status of empirical research on hospital costing methods?” by encompassing the spread of publications in different journals and articles, contexts and research methods, and theoretical paradigms.

3.1. Status of Empirical Research

Figure 3 provides an overview of the evolution of the studies over the last decades, based on the articles selected from the Scopus and ISI Web of Science databases (172 articles), with the number of articles shown by year of publication. It can be seen that more than half (58.13%) of the 42-year articles were published in the last 10 years. This leads us to conclude that the topic is pertinent, relevant, and up-to-date.
Of the 172 articles included in this study between 1981 and 2023, it can be seen (Table 1) that countries such as South Africa, Austria, Brazil, Chile, South Korea, Denmark, Ghana, Greece, Malaysia, Norway, New Zealand, the Netherlands, Peru, Serbia, and Turkey present 1 study per country and that 15 articles are the result of joint research (Austria, Italy, Portugal, Sweden, Belgium, France, Spain, and Switzerland; the Netherlands and Belgium; Austria and New Zealand; England and Germany; Canada and Spain; South Korea and Thailand; Italy and Croatia). The remaining countries are analyzed in Table 1, taking a 42-year timeline. In individual terms, the scientific output of the USA stands out (27 articles), while the scientific output of all the European Union countries is also noteworthy.
As for the journals with the highest impact factors among the articles selected, it can be seen that most of the journals are in the health area (Table 2).
Figure 4 analyzes scientific output by decade, showing a clear increase in scientific output in this area. In 2010–2019, scientific production more than doubled compared with the previous decade.

3.2. Content Analysis and Development of Hospital Costing Methods

Following Liberati et al. (2009) guidelines, and based on the content analysis of the articles collected, a survey of the costing methods, procedures, and analyses carried out was made. The distribution of costing methods and analyses identified in the literature is shown in Table 3. Complexity in hospital management takes into account (i) the size of the hospital (number of beds), which is considered small (capacity of 50 beds or fewer), medium (51 to 150 beds), and large (151 to 500 beds); (ii) the type of care, general or specialized; and (iii) the complexity of patient care, which can be considered low complexity (general clinical care), medium complexity (intensive care, surgical and anesthetic care, and maternal and child care), and high complexity (in addition to the requirements contained in medium complexity, it also covers radiotherapy, chemotherapy, and/or chronic kidney care). Studies show that the greater the complexity and size of the hospital, the greater the tendency for organizations to control their spending (Choi 2017; Zhang and Augenbroe 2018). In this context, each hospital organization chooses the best way to analyze its costs with a view to improving competitiveness (private hospitals) and better allocation of resources. There is no consensus on the best format for such controls. The literature indicates that the greater the complexity or size of the hospital, the greater the tendency to use more in-depth financial analysis or more accurate costing methods, such as the ABC method (Thomson et al. 2019) and cost and effectiveness analysis (Lunney et al. 2019). It is important to note that cost systems are commonly confused with costing methods, but the difference is that cost systems accumulate cost information and costing methods calculate the cost of products or services, which characterize the types (for example, the cost of a particular surgery, the cost of a daily hospital stay, performance analysis of a sector such as the emergency service). It is therefore possible to carry out cost analysis using various costing methods and different types of business analysis. Studies show that there is no consensus on which costing method is most efficient. It is common for the same organization to use a costing method in conjunction with another type of analysis, such as calculating the cost of a hospitalization after the use of a certain drug in conjunction with an analysis of the cost-effectiveness of the drug in the patient’s recovery.
It is important to note that the absorption costing method is recommended by the public tax system and is the most widely used in the public health context. In this study, costing prevails in private hospital institutions, which explains why this method is not included in Table 3. The same is true of the RKW and TDABC costing methods. Both are advanced costing methods that usually require a well-parameterized computerized system to be used in the hospital context. The fact that they were not used in this study indicates that there is little investment in more robust systems or that managers may be unfamiliar with the methods.
The issue of hospital costs is relevant given the importance of these institutions in the social and economic spheres, as well as for their management and managers. In the hospital context, which has high costs, scarce resources, and pressure for quality and good services, knowing the cost information is essential for efficient management (Cinquini et al. 2009), as well as for improving hospital transparency (Mercier and Naro 2014). Controlling costs in healthcare is a challenge (Neriz et al. 2014) due to the complexity of its products and services (Mercier and Naro 2014) and the variety of human, financial, material, and technological resources, making efficient cost management essential. Faced with this complexity, cost accounting can provide relevant information for hospital management through its tools for inventory valuation (absorption costing), control (standard costing), decision making (variable costing, activity-based costing), and managerial artefacts in the field of strategic management (target costing, cost determinants, competitor cost analysis, cost-effectiveness analysis, ABC/ABM, quality costs), but bearing in mind that the use of costing methods is not mutually exclusive, and sometimes a combination of methods is used in the same institution.
Analyzing the evolution of costing systems over time, we can see that in the 1980s, standard costing was used to forecast and control costs, sometimes based on models used in industry. It focused on evaluating performance and analyzing variances in hospital activities (Rinaldo et al. 1981; Bennett 1985). Various processes have been studied to analyze the costs of diagnostic tests (Tarbit 1986; Gray et al. 1987; Bretland 1988), the influence of nursing staff in containing costs (Rosenbaum et al. 1988), and the emerging need to obtain more precise costs to guide the technical and administrative decisions of the hospital institution (De Mars Martin and Boyer 1985).
Standard costing is a planned measure that is used for comparisons with real or historical costs (those incurred and recorded by the accounting department) to identify variances, which are analyzed and corrected to keep operational performance within predetermined guidelines (Martins 2000).
Absorption costing, on the other hand, is characterized by the appropriation of all internal operating cycle costs to the final cost bearers. According to Horngren et al. (2000), in absorption costing, all costs, both variable and fixed, are considered inventory costs. The main advantage lies in the fact that absorption costing is accepted for the preparation of financial statements for external use and for obtaining long-term solutions, where absorption costing information is normally indicated. As for RKW, the main characteristic of this method is the division of the organization into cost centers. Costs are allocated to the centers using distribution bases and then passed on to the products by work units. The most widely observed application of the costing method is in decisions involving sales prices, where the main advantage is the fact that the entire cost of producing, managing, and selling is allocated to the products (Hartmann 2013).
Standard costing continued to be used in the 1990s, providing an appropriate set of accounting information, focused on the medical professional (Eldenburg 1994) or sometimes on critical care services, identifying the intensive use of resources in the provision of healthcare (Mahon et al. 1997) or the costs of unused beds (Sopariwala 1997). Knowledge of financial and operational costs in the health sector has increased the need to make better use of resources. In this context, the first research was carried out on the use of activity-based costing to enable organizations to restructure their practices internally and purify costs by type of pathology (Kempeneers et al. 1995; Eastaugh 1998), always seeking to improve the method for use in hospitals (Ryan 1997) and in the purchase of medical supplies (Zeller et al. 1999). Management models, methods, and tools have also been introduced to verify cost-effectiveness and to analyze the efficiency of resource use and process costs (Edbrooke et al. 1995; Powe et al. 1996; Trenchard and Dixon 1997a, 1997b).
Descriptive analysis is a set of analytical techniques used to summarize all the data collected in a given investigation. These analyses are organized, providing reports that present reliable information to support decision making. This tool has been mainly used since the 2000s and is beginning to be used more frequently in work aimed at developing effective approaches to identifying clusters of people at higher risk of future high use of health services (Reuben et al. 2002), establishing the cost per day of hospitalization (Boonen et al. 2004), to understand the elements that make up the costs of hospitalizations for specific pathologies (Orrick et al. 2004; Riewpaiboon et al. 2007; Prescott et al. 2007; Weaver et al. 2009), to analyze the cost-effectiveness of using certain drugs over others (Jakovljevic et al. 2008; Lynch et al. 2009) or the use of environments and spaces, such as operating theaters (Stahl et al. 2006). The ABC method continues to be used in this third decade as a tool for calculating the costs of diagnostic services (Glick et al. 2000; Laurila et al. 2000) to identify the services that are generating the most revenue and those that are operating at a loss (Emmett and Forget 2005; Cao et al. 2006a, 2006b). Combinations of ABC with other methods are also beginning to emerge.
In this decade, the diagnosis-related groups (DRGs) system began to gain importance. It seeks to relate the types of patients treated by the hospital with the resources consumed during the hospitalization period, creating categories of patients that are similar in their clinical characteristics and their resource consumption (Noronha et al. 1991). Studies from this perspective have been carried out in this period to determine the direct costs associated with the treatment of pathologies (Rigby and Litt 2000; Levy et al. 2003) and the specific relative costs of a wide variety of health policy and planning applications (Ghaffari et al. 2009). Furthermore, it becomes relevant to incorporate hospital costing into its institutional context in the health area. In many countries, hospital costing is linked to DRGs. The costing data feed into the DRG systems (Busse et al. 2008; Vogl et al. 2012; Chapman et al. 2014) to define DRG tariffs for reimbursement of hospital care. In the DRG system, there are usually government guidelines that prescribe how to cost and, therefore, the costing method to be used (Chapman et al. 2014).
Other hospital costing systems are often a mixture of different methods, which makes it difficult to categorize a costing method/system into ABC or traditional costing, for example (Chapman et al. 2016). Studies using specific types of costing rather than mixed costing were identified in this study.
Descriptive analyses to better understand resource use in hospital processes have predominated from 2010 to date (Chung et al. 2010; Ghate et al. 2011; Raven et al. 2011; Zulman et al. 2014; Corral et al. 2015; Joret et al. 2016; Lee et al. 2016; Bertoni et al. 2017; Plantier et al. 2017; Jackson et al. 2018; Loizzo et al. 2018; Mori and Nyabakari 2023; Saraswathula et al. 2023) for the costs of pathologies and palliative care. Management tools, methods, and models are also used to estimate and analyze the unit cost of providing clinical services (Monnickendam and de Asmundis 2018), improving the performance of efficiency standards (Rego et al. 2010), for the strategic and operational planning and management of key hospital resources (Harper et al. 2010), for the cost of pathologies and the influence of doctors and nurses on cost control (Hongoro and Dinat 2011; Nakagawa et al. 2011; Myint et al. 2011; Crane et al. 2013; Ektare et al. 2015; Kim et al. 2018), and for comparisons between drug therapies (Maniadakis et al. 2017).
Among the costing methods presented in the literature, and which have already been the subject of empirical studies carried out in hospital institutions, the following stand out: activity-based costing (ABC), time-driven ABC, and Reichskuratorium für Wirtschaftlichkeit (RKW), emphasizing that no costing method is capable of meeting all the information needs of managers, so they cannot be considered mutually exclusive, but rather complementary. Product/service costing systems based on a single indirect cost allocation criterion tend not to reflect the costs associated with products and services in highly complex environments. In this way, decisions on prices, product mix, and production processes were based on incomplete information, which was usually only detected too late, often due to successive negative results and the company’s loss of competitiveness (Cooper and Kaplan 1988a, 1988b). It was in this context that the concept of activity-based costing (ABC) emerged, presented and strongly publicized by Cooper and Kaplan (1991).
Kaplan and Anderson (2004), without abandoning the ABC concept, developed a simpler approach that circumvents some of its limitations, such as slowness, inflexibility, and costly implementation and maintenance. This method was called time-driven activity-based costing (TDABC) by its creators. According to the authors, this system is easier to implement and more flexible, which makes it simpler to maintain, as well as providing other benefits to organizations, such as making it easier to consider very complex activities and measuring unused capacity. The creators of TDABC also mention that this new methodology requires less research and implementation time than traditional ABC because it replaces transactional cost drivers, which measure the number of times an activity is carried out, with duration cost drivers, which estimate the time needed to complete a task (Kaplan and Anderson 2004). In conventional ABC, time drivers are only used after the costs have already been assigned to each activity (Kaplan and Anderson 2007). The major distinction between the use of time drivers in TDABC and conventional ABC is that TDABC does not require the first phase of distributing costs by activities (which is responsible for a significant part of the difficulties and inflexibility in conventional ABC), and resource costs are first estimated and then the time used in each activity to obtain each product is used to assign the costs to the products (Kaplan and Anderson 2007). The objectives for which TDABC can be used are varied, particularly in terms of improving processes, providing an analytical basis for analyzing the costs of departmental support, and increasing company profits through better analysis (Popesko 2013; Labro and Stice-Lawrence 2020; Koster et al. 2023). The ABC method, alone or in combination with other tools, appears to be dominant over other specific costing methods because it is a powerful tool for supporting the decision-making process of hospital managers, especially in terms of resource allocation and redesigning the new hospital organization. It is used to cost pathologies (Dugel and Tong 2011; Akhavan et al. 2016; Afzali et al. 2017; Cardoso et al. 2023), diagnostic therapies (Atif et al. 2012; Kawamata et al. 2017; Bauer-Nilsen et al. 2018), surgical procedures (Au and Rudmik 2013; Özyapici and Taniş 2017), various hospital processes (Neriz et al. 2014; Popesko et al. 2015; Javid et al. 2016), and costs involving healthcare professionals (Balakrishnan et al. 2015; Zheng et al. 2018). In turn, the DRG system is also highlighted in recent research, being used to determine the value of hospital reimbursements (Vogl 2012), to support regulators in improving cost schemes (Vogl 2013), and to identify treatment approaches for various pathologies (Merollini et al. 2013; Eti et al. 2014; Hidalgo-Vega et al. 2014; Russell et al. 2016).

3.3. Research Paradigms and Tools for Hospital Cost Management

In the search for a paradigmatic classification of research in organizational studies, many authors have used the criterion of a methodological approach for this purpose, where qualitative research would be classified as interpretivist and research with a quantitative approach would be positivist or functionalist, although interpretivist research can use quantitative methods in a complementary or auxiliary way, excluding the possibility of using them as the main method. However, the paradigm situates the researcher’s perceptions and choices at an earlier stage in the work, and the methodological stage can vary enormously within the same paradigm. Even given the important connection between paradigm and method, a variety of methods, such as case studies and interviews, can appear from both a positivist and interpretivist perspective, depending solely on the researcher’s position about the phenomenon being studied (Vergara 2005).
However, within the functionalist paradigm, many investigations with a quantitative approach have been associated with a positivist position of doing science. Quantitative research in organizational studies may or may not be positivist, depending on the components that are present in the conduct of the research. Particular features of positivism, such as objectivity, generalization, and distance from the researcher are hardly practicable in this field of study, despite the methodological care taken by researchers. In this way, we can see elements for two different possibilities in the classification of paradigmatic positions: some quantitative research can be classified as interpretivist given its subjectivity, joint construction of the reality being researched, and the involvement of the researcher with the object of study; other more functionalist research loses its positivist characteristics because of the missing elements and inhabits the interface between functionalism and interpretivism. This approach is compatible with Burrell and Morgan’s (1979) proposal, given their conception of a continuum between the paradigms listed by the authors. Hopper and Powell (1985) discuss the dominant scientific method in accounting research, outlining three categories of research normally adopted in accounting: mainstream, interpretive, and critical.
Burrell and Morgan (1979) propose that social theories can be classified according to two sets of principles: the nature of the social sciences and the nature of society. About the nature of the social sciences, the authors identify ontological, epistemological, human nature, and methodological premises. Two different types of approach are presented: the subjectivist, which emphasizes the importance of the subjective experiences of the subjects in the structure of the social world, and the objectivist, which treats the social world as something external to the individual, and therefore susceptible to being described in terms of universal laws that explain and predict the observed reality. About the nature of society, Burrell and Morgan (1979) set out two other approaches: the sociology of regulation, made up of theories that seek to explain society by emphasizing its cohesion, and the sociology of radical change, which emphasizes the search for explanations for radical changes, for the structural conflicts perceived as peculiar to modern societies. In this context, the two sets of premises form four distinct paradigms in the social sciences: radical humanism, radical structuralism, interpretive, and functionalist (or positivist).
As in other recent studies (Rodrigues et al. 2021, 2022), the taxonomy of Hopper and Powell (1985) was used to classify the research paradigms used in the empirical studies published.
The research to be carried out is conditioned from the outset by several factors, such as the research question, the resources available, and the way the researcher sees science and the reality that surrounds them. According to Major (2017), positivists see reality as a concrete, objective structure that is external to the researcher and can be reduced to explanatory (independent) and dependent variables through laws that express their relationship. Despite the criticisms levelled at positivist research (Hopwood 2007), such as the fact that it corresponds to attempts at numerical representation of interpretative concepts, it continues to dominate, accounting for 62.79% of the research carried out in this study, unlike radical studies, which were nowhere to be seen. As for how the data were obtained, quantitative studies prevailed with 56.4%. However, after a slight decline in the 1990s, their relative weight has remained constant, and they currently account for around 45.3% (44/97) of the studies analyzed (see Figure 5).
In terms of paradigm, positive research leads the way, but interpretive research has been growing significantly since the 1990s (Figure 5).
In an attempt to summarize the information gathered on costing methods from the 172 articles analyzed, Table 4 shows the main tools and artefacts observed in hospital cost management. In the hospital context, the studies indicate that the main costing method used is ABC (Kempeneers et al. 1995; Dugel and Tong 2011; Bayati et al. 2015; Afzali et al. 2017; Bauer-Nilsen et al. 2018) despite the complexity involved in allocating indirect costs. This is followed by mixed costing (Rinaldo et al. 1981; Orloff et al. 1990; Levy-Piedbois et al. 2000; Bermudez-Tamayo et al. 2014) and standard costing (Bennett 1985; Mahon et al. 1997; Colin et al. 2010; Cyganska 2017; Tran et al. 2018).
In the context of costs for decision-making and control purposes, several studies refer to the use of management methods or tools (Tarbit 1986; Powe et al. 1996; Oostenbrink et al. 2003; Harper et al. 2010; Maniadakis et al. 2017; Kim et al. 2018) that are extremely important for better business management, supporting problem solving, increasing revenue, reducing expenses, and innovation.
In strategic cost management, the analyses of the cost-effectiveness of operations have the largest number of studies (Bertapelle et al. 2015; Salas et al. 2016; Espinoza et al. 2017; Mortuaire et al. 2018) and reflect the benefits that come from the right actions performed in the right way, resulting in gains in competitiveness against competitors. A growing body of research analyzing the reimbursement generated by DRG management shows that the classification system, which relates the types of patients treated by a hospital to the resources consumed during their stay, creating categories of patients with similar clinical characteristics and resource consumption, is increasingly being implemented by national health systems (Ghaffari et al. 2009; Vogl 2013; Eti et al. 2014; Hidalgo-Vega et al. 2014; Russell et al. 2016).

3.4. Main Lines of Research and Their Development

The next step is to outline the main lines of research in hospital costing to identify the approaches and contexts for developing a future agenda. Table 5 summarizes the studies analyzed and classified according to the type of hospital costing, while Figure 6 shows the evolution of costing types by decade.
Categorizing the possible types of in-hospital costing makes it possible to (i) stratify the organization’s internal control processes for improvement and decision support purposes; (ii) provide specific costings of patient care by type of pathology or type of diagnostic test or surgery performed, allowing comparison with reimbursement by private health plans and medical insurance schemes; and (iii) provide information on the cost-effectiveness of drug treatments. (iv) Another relevant point concerns the involvement of a multidisciplinary team and how this can change, positively or negatively, the cost of hospital care during the patient’s treatment.
The manager of a healthcare institution needs to have full control of hospital costs, monitoring metrics, data, and concepts that have a direct impact on the budget, such as the amount spent on materials, and the waiting time for patient care or the period of equipment idleness. Beyond the basic control of the inflow and outflow of resources, the manager must analyze different aspects and hospital activities that can influence the final bill. Efficient hospital cost management makes it possible to identify the institution’s main bottlenecks, from operational issues to infrastructure and/or flaws in care flows. With data control, it is also possible to recognize areas and operations that can be optimized and strengthened to generate even better results. In this way, costing derived from reliable data analysis is a process that supports managerial and strategic decision making for the organization.
Notably, the majority of research (33.1%) focuses on the internal control of processes carried out in hospitals that focus on the provision of health services, but which require the internal support of different sectors working in a wide range of areas, such as hygiene, nutrition, warehousing, and laundry, contrasting the most varied business segments that have specific needs and interrelate, making the internal processes of such organizations abstruse (Campos and Marques 2011). However, studies analyzing the costs of specific pathologies (23.8%) and indications for surgical procedures (7.6%) have been attracting the interest of researchers, especially when drug treatments, diagnoses, and the use of orthoses, prostheses, and special materials have a significant financial impact and are reflected in patients’ quality of life. The application of new technologies (10.5%) and drug therapies (7%) translates into more expensive diagnostic and therapeutic methods, which are increasingly specialized and require evidence-based medicine to be verified for appropriate use. Another topic that has been explored is the involvement of healthcare professionals (5.8%), in influencing the reduction of hospital costs, both by promoting the appropriate use of resources and by obtaining information that makes it possible to know the costs and that helps to raise awareness and organizational commitment. This study also reveals the researchers’ concern about coming up with new costing models, methods, and strategies (12.2%) that help integrate hospital management and optimize resources to improve process efficiency.
Based on the above, a model is presented, identifying the main types of costing (Figure 7), as a tool for improving the performance of hospital organizations based on the application of grounded theory. The emphasis of grounded theory is on learning from the data and not from an existing theoretical view (Strauss and Corbin 1990). According to Urquhart (2013), grounded theory can be used in positivist, interpretivist, or critical studies. In other words, grounded theory is a method that can be used regardless of the researcher’s epistemological stance. The conceptual model (Figure 7) is derived from the qualitative analysis of the content of the studies reviewed in the SLR and reflects the five major themes that researchers have studied over several decades, as shown in Figure 6.
A hospital has a system with very complex processes. It has costs and requirements that involve multiple factors. Adopting intrahospital methods and processes is essential for measuring costs, knowing where they come from and what they are used for, and identifying bottlenecks and waste. Similarly, knowing the costs of implementing new drug therapies (e.g., new cancer drugs) or using new diagnostic therapies (e.g., vascular angiography instead of ultrasound) enables managers to compare costs and benefits, in terms of both investment and quality of patient care.
This model reflects the concern of scholars to understand and help, through research, to improve hospital organizational performance, which, in the global context, is currently under pressure for more efficient management, with greater reduction and control of scarce resources, within the framework of the sociodemographic characteristics of each country, for greater and better use of the health system. According to Cunha and Corrêa (2013), these characteristics include an ageing population, the trend towards growth in gross domestic product (GDP) in developing countries, the universalist constitutional model of healthcare, and public spending on health, which represents a considerable proportion of the national GDP.

4. Conclusions

As far as we know, this is the first work to simultaneously study the characteristics of hospital costing systems, their evolution, and the epistemological and ontological positioning of the studies analyzed from the point of view of accounting research paradigms. A prevalence of positivist (or functionalist) research was identified in most of the studies analyzed (Hopper and Powell 1985; Hopper 2005), although interpretive research has been gaining relevance over the last two decades. It should also be noted that no radical humanist or structuralist articles were identified (Burrell and Morgan 1979). The role of management accounting research for positivists is therefore to accurately and objectively reflect reality. For interpretivists, this role is seen as providing theoretical and subjective explanations of accounting practices; it is about understanding the context and its influence on practice. Thus, although positive research continues to predominate, there has been a clear growth in interpretive research since the 1990s.
Various tools, such as measurement methods, costs for decision making and control, and other strategic elements for the application and management of costs in hospitals, are recurring themes in the studies and highlight the importance attributed to more efficient and transparent management of these organizations (Wenzel 1987; Ellram 2006). About the technical dimension, there was a predilection for quantitative studies (56.40%) to the detriment of qualitative studies (33.14%) or mixed studies (10.47%). In evolutionary terms, there has been a trend in recent years towards studies that carry out descriptive analyses of hospital processes and costing of various pathologies, with a predominance of the activity-based costing method (ABC) and analyses of costs and reimbursements appropriate to homogeneous diagnosis groups (DRG), confirming the findings of different authors (Chapman et al. 2014; Keel et al. 2020; Fang et al. 2021) In the period analyzed, few studies were identified that focused on systematic literature reviews (Jarlier and Charvet-Protat 2000; Whiting et al. 2015; Alves et al. 2018), and all of them had a narrower scope.
The main costing systems have been identified here, as well as the elements of strategic hospital cost management that are most used and pointed out in the literature, demonstrating the evolution of research in this area, including pointing out the paradigms used. A relevant point of the present study is the identification of possible costs at different organizational levels: (i) costs of sectoral processes (laundry service, nutrition service), (ii) costs of surgical procedures (appendix surgery, heart surgery), (iii) costs of introducing new drug therapies, (iv) funding for diagnostic and/or therapeutic support exams, (v) and costs involving processes carried out by the multidisciplinary team (doctors, nurses). Another contribution of this work is the development of a model that takes into account the various types of costing identified in hospitals, which can help hospital administrators in their evaluations and decision making. It also points the way to new studies that could provide alternatives for better performance in these institutions.
To this end, a future research agenda based on these types of funding is proposed. It would be relevant, as a contribution to the literature, to carry out these studies with more than one costing method in order to compare and discuss the results obtained: (i) costs of hospital processes (carry out surveys of the processes that have the greatest impact on the direct costs of hospitals and cost them, comparing them with institutions with the same characteristics; undertake cost analyses to identify the advantages and disadvantages of outsourcing hospital services); (ii) costs for specific pathologies (cost per day of hospitalization (surgical and clinical) by type of medical specialty and comparison with national health service (NHS) reimbursement and between countries with similar NHS); (iii) miscellaneous issues involving hospital costs (add new elements, by type of costing, to test the model proposed in this study); (iv) costs of diagnostic therapies (not only reviewing the costs of diagnostic tests, but also linking them to demand by medical specialty and triangulating with performance analysis by unit (radiology, ultrasound, computed tomography, clinical analysis, magnetic resonance imaging, diagnostic hemodynamic)); (v) drug therapy costs (analyze the best alternatives for drug use by type of medical specialty and associated pathologies); (vi) costs involving health professionals (develop studies involving the hospital’s multiprofessional team to explore alternatives for better resource allocation); (vii) and costs of surgical procedures (list the operations that have the greatest impact on resource consumption (medical inputs) and continue the costing process, comparing the methods used; procedures with a low financial impact but which are performed frequently should also be costed).
Despite the various advantages and contributions, the study has some limitations that must be taken into account. First, the articles were collected from only two peer-reviewed literature databases (WoS and Scopus), and second, the study focused only on hospital institutions; a study with greater diversity could cover other health institutions, such as health posts, medical clinics, and diagnostic and therapeutic services.

Author Contributions

Conceptualization, I.C.P.M. and M.-C.A.; methodology, I.C.P.M.; software, I.C.P.M.; validation, I.C.P.M., and M.-C.A.; formal analysis, I.C.P.M.; investigation, I.C.P.M. and M.-C.A.; resources, I.C.P.M. and M.-C.A.; data curation, I.C.P.M. and M.-C.A.; writing—original draft preparation, I.C.P.M.; writing—review and editing, I.C.P.M. and M.-C.A.; visualization, I.C.P.M.; supervision, M.-C.A.; project administration, I.C.P.M. and M.-C.A.; funding acquisition, I.C.P.M. and M.-C.A. All authors have read and agreed to the published version of the manuscript.

Funding

Isabel Marques research was supported by National Funds through the FCT (Portuguese Foundation for Science and Technology), I.P., within the scope of the project Ref. UIDB/00713/2020. Maria-Ceu Alves research was supported by National Funds through the FCT (Portuguese Foundation for Science and Technology), I.P., within the scope of the project Ref. NECE-UIDB/04630/2020.

Data Availability Statement

Not applicable.

Acknowledgments

Isabel Marques is grateful for the support of the Centre for Public Administration and Public Policies, Institute of Social and Political Sciences and for the support of the Research Center in Business Sciences (NECE-UBI). Maria-Ceu Alves is grateful for the support of the Research Center in Business Sciences (NECE-UBI). Both authors are grateful to the journal’s anonymous referees for their extremely useful suggestions to improve the quality of the paper.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Abernethy, Margaret A., Wai F. Chua, Jennifer Grafton, and Habbib Mahama. 2006. Accounting and Control in Health Care: Behavioural, Organisational, Sociological and Critical Perspectives. Science Direct 2: 805–29. [Google Scholar] [CrossRef]
  2. Afzali, Anita, Kristine Ogden, Michael L. Friedman, Jingdong Chao, and Anthony Wang. 2017. Costs of providing infusion therapy for patients with inflammatory bowel disease in a hospital-based infusion center setting. Journal of Medical Economics 20: 409–22. [Google Scholar] [CrossRef]
  3. Akhavan, Sina, Lorrayne Ward, and Kevin J. Bozic. 2016. Time-driven activity-based costing more accurately reflects costs in arthroplasty surgery. Clinical Orthopaedics and Related Research 474: 8–15. [Google Scholar] [CrossRef]
  4. Alves, Rafael J. V., Ana P. B. D. S. Etges, Giácomo B. Neto, and Carisi A. Polanczyk. 2018. Activity-based costing and time-driven activity-based costing for assessing the costs of cancer prevention, diagnosis, and treatment: A systematic review of the literature. Value in Health Regional Issues 17: 142–47. [Google Scholar] [CrossRef]
  5. Atif, Muhammad, Ssyed A. S. Sulaiman, Asrul A. Shafie, Fahad Saleem, and Nafees Ahmad. 2012. Determination of chest x-ray cost using activity based costing approach at Penang General Hospital, Malaysia. Pan African Medical Journal 12: 40. [Google Scholar]
  6. Au, Jennifer, and Luke Rudmik. 2013. Cost of outpatient endoscopic sinus surgery from the perspective of the Canadian government: A time-driven activity-based costing approach. International Forum of Allergy and Rhinology 3: 748–54. [Google Scholar] [CrossRef]
  7. Balakrishnan, Karthik, Brian Goico, and Ellis M. Arjmand. 2015. Applying cost accounting to operating room staffing in otolaryngology: Time-driven activity-based costing and outpatient adenotonsillectomy. Otolaryngology—Head and Neck Surgery (United States) 152: 684–90. [Google Scholar] [CrossRef]
  8. Bauer-Nilsen, Kristine, Colin Hill, Daniel M. Trifiletti, Bruce Libby, Donna H. Lash, Melody Lain, Deborah Christodoulou, Constance Hodge, and Timothy N. Showalter. 2018. Evaluation of delivery costs for external beam radiation therapy and brachytherapy for locally advanced cervical cancer using time-driven activity-based costing. International Journal of Radiation Oncology Biology Physics 100: 88–94. [Google Scholar] [CrossRef]
  9. Baxter, Jane, and Wai F. Chua. 2003. Alternative management accounting research—Whence and whither. Accounting, Organizations and Society 28: 97–126. [Google Scholar] [CrossRef]
  10. Bayati, Mohsen, Alireza M. Ahari, Abbas Badakhshan, Mahin Gholipour, and Hassan Joulaei. 2015. Cost analysis of MRI services in Iran: An application of activity based costing technique. Iranian Journal of Radiology 12: e18372. [Google Scholar] [CrossRef]
  11. Bennett, Joseph P. 1985. Standard cost systems lead to efficiency and profitability. Healthcare Financial Management: Journal of the Healthcare Financial Management Association 39: 46–52. [Google Scholar]
  12. Bermudez-Tamayo, Clara, Mira Johri, Francisco J. Perez-Ramos, Gracia Maroto-Navarro, Africa Cano-Aguilar, Letícia Garcia-Mochon, Longinos Aceituno, François Audibert, and Nils Chaillet. 2014. Evaluation of quality improvement for cesarean sections programmes through mixed methods. Implementation Science 9: 182. [Google Scholar] [CrossRef]
  13. Bertapelle, Maria P., Mario Vottero, Giulio D. Popolo, Marco Mencarini, Edoardo Ostardo, Michele Spinelli, Antonella Giannantoni, and Anna D’Ausilio. 2015. Sacral neuromodulation and botulinum toxin A for refractory idiopathic overactive bladder: A cost-utility analysis in the perspective of the Italian healthcare system. World Journal of Urology 33: 1109–17. [Google Scholar] [PubMed]
  14. Bertoni, Michele, Bruno De Rosa, and Ivana D. Lutilsky. 2017. Opportunities for the improvement of cost accounting systems in public hospitals in Italy and Croatia: A case study. [Mogućnosti unapređenja sustava troškovnog računovodstva u javnim bolnicama u italiji i hrvatskoj: Studija slučaja]. Management 22: 109–28. [Google Scholar]
  15. Boonen, Annelies, Johannes L. Severens, and Sjef van der Linden. 2004. A tale of two cities: Hospitalization costs in 1897 and 1997. International Journal of Technology Assessment in Health Care 20: 236–41. [Google Scholar] [CrossRef]
  16. Bretland, P. M. 1988. Costing imaging procedures. British Journal of Radiology 61: 54–61. [Google Scholar] [CrossRef]
  17. Burrell, Gibson, and Gareth Morgan. 1979. Sociological Paradigms and Organisational Analyses. London: Heinemann Educational Books. [Google Scholar]
  18. Busse, Monica E., Hanan Khalil, Lori Quinn, and Anne E. Rosser. 2008. Physical therapy intervention for people with Huntington’s disease. Physical Therapy 88: 820–31. [Google Scholar] [CrossRef] [PubMed]
  19. Campos, Domingos F., and Isabel C. P. Marques. 2011. ABC Costing in a Private Hospital Organization: A Comparative Study of the Cost of Elective Surgeries with Values Refunded by Health Plans. Rio de Janeiro: EnANPAD, XXXV Encontro da ANPAD. [Google Scholar]
  20. Cao, Pengyu, Shin-Ichi Toyabe, and Kouhei Akazawa. 2006a. Development of a practical costing method for hospitals. Tohoku Journal of Experimental Medicine 208: 213–24. [Google Scholar] [CrossRef] [PubMed]
  21. Cao, Pengyu, Shin-Ichi Toyabe, S. Kurashima, M. Okada, and Kouhei Akazawa. 2006b. A modified method of activity-based costing for objectively reducing cost drivers in hospitals. Methods of Information in Medicine 45: 462–69. [Google Scholar] [PubMed]
  22. Caputo, Andrea, Simone Pizzi, Massimiliano Pellegrini, and Marina Dabic. 2021. Digitalization and business models: Where are we going? A science map of the field. Journal of Business Research 123: 489–501. [Google Scholar]
  23. Cardinaels, Eddy, and Naomi Soderstrom. 2013. Managing in a Complex World: Accounting and Governance Choices in Hospitals. European Accounting Review 22: 647–84. [Google Scholar] [CrossRef]
  24. Cardoso, Ricardo B., Miriam A. A. Marcolino, Milena S. Marcolino, Camila F. Fortis, Leila B. Moreira, Ana P. Coutinho, Nadine O. Clausell, Junaid Nabi, Robert S. Kaplan, Ana P. B. Da Silva Etges, and et al. 2023. Comparison of COVID-19 hospitalization costs across care pathways: A patient-level time-driven activity-based costing analysis in a Brazilian hospital. BMC Health Services Research 23: 198. [Google Scholar]
  25. Castriotta, Manuel, Michela Loi, Elona Marku, and Luca Naitana. 2019. What’s in a name? Exploring the conceptual structure of emerging organizations. Scientometrics 118: 407–37. [Google Scholar]
  26. Chapman, Christopher, Anja Kern, and Aziza Laguecir. 2014. Costing Practices in Healthcare. Accounting Horizons 28: 353–64. [Google Scholar] [CrossRef]
  27. Chapman, Christopher, Anja Kern, Aziza Laguecir, and Wilm Quentin. 2016. Management accounting and efficiency in health services: The foundational role of cost analysis. In Health System Efficiency: How to Make Measurement Matter for Policy and Management; Edited by J. Cylus, I. Papanicolas and P. C. Smith. Geneva: World Health Organization, pp. 75–98. Available online: https://www.ncbi.nlm.nih.gov/books/NBK436887/ (accessed on 1 January 2023).
  28. Choi, Sung. 2017. Hospital capital investment during the Great Recession. Inquiry 54: 004695801770839. [Google Scholar] [CrossRef]
  29. Chung, Wei-C., Pao-Luo Fan, Herng-Chia Chiu, Chun-Yuh Yang, Kun-Lun Huang, and Dong-Sheng Tzeng. 2010. Operating room cost for coronary artery bypass graft procedures: Does experience or severity of illness matter? Journal of Evaluation in Clinical Practice 16: 1063–70. [Google Scholar] [CrossRef]
  30. Cinquini, Lino, Paola M. Vitali, Arianna Pitzalis, and Cristina Campanale. 2009. Process view and cost management of a new surgery technique in hospital. Business Process Management Journal 15: 895–919. [Google Scholar]
  31. Colin, Xavier, Antoine Lafuma, Dominique Costagliola, Jean-Marie Lang, and Pascal Guillon. 2010. The Cost of Managing HIV Infection in Highly Treatment-Experienced, HIV-Infected Adults in France. Pharmaco Economics 28: 59–68. [Google Scholar] [CrossRef]
  32. Cook, Deborah. J., Cynthia D. Mulrow, and R. Brian Haynes. 1997. Systematic reviews: Synthesis of best evidence for clinical decisions. Annals of Internal Medicine 126: 376. [Google Scholar] [CrossRef]
  33. Cooper, Robin, and Robert S. Kaplan. 1988a. How cost accounting distorts product costs. Management Accounting 69: 20–27. [Google Scholar]
  34. Cooper, Robin, and Robert S. Kaplan. 1988b. Measure Costs Right: Make the Right Decision. Harvard Business Review 66: 96–103. [Google Scholar]
  35. Cooper, Robin, and Robert S. Kaplan. 1991. Profit Priorities from Activity-Based Costing. Harvard Business Review 69: 130–35. [Google Scholar]
  36. Corral, Julieta, Josep A. Espinàs, Francesc Cots, Laura Pareja, Judit Solà, Rebeca Font, and Josep M. Borràs. 2015. Estimation of lung cancer diagnosis and treatment costs based on a patient-level analysis in Catalonia (Spain). BMC Health Services Research 15: 70. [Google Scholar] [CrossRef]
  37. Crane, Glenis J., Steven M. Kymes, Janet E. Hiller, Robert Casson, Adam Martin, and Jonathan D. Karnon. 2013. Accounting for Costs, QALYs, and Capacity Constraints: Using Discrete-Event Simulation to Evaluate Alternative Service Delivery and Organizational Scenarios for Hospital-Based Glaucoma Services. Medical Decision Making 33: 986–97. [Google Scholar] [CrossRef]
  38. Cunha, Julio A. C., and Hamilton L. Corrêa. 2013. Evaluation of organizational performance: A study applied in philanthropic hospitals. Revista de Administração de Empresas\FGV-EAESP 53: 458–99. [Google Scholar]
  39. Cyganska, Malgorzata. 2017. Analysis of High-Cost Outliers in a Polish Reference Hospital. E & M Ekonomie a Management 4: 59–69. [Google Scholar]
  40. De Mars Martin, P., and J. France Boyer. 1985. Developing a Consistent Method for Costing Hospital Services. Healthcare Financial Management 39: 30–37. [Google Scholar]
  41. Dugel, Pravin U., and Kuo Bianchini Tong. 2011. Development of an activity-based costing model to evaluate physician office practice profitability. Ophthalmology 118: 203–8.e3. [Google Scholar] [CrossRef]
  42. Eastaugh, Steven R. 1998. Financial issues in defining levels for HIV/AIDS research. Journal of Health Care Finance 25: 19–25. [Google Scholar]
  43. Edbrooke, David L., A. J. Wilson, P. Gerrish, and A. J. Mann. 1995. The Sheffield costing system for intensive care. Care of the Critically Ill 11: 106–10. [Google Scholar]
  44. Ektare, Varun, Alexandra Khachatryan, Mei Xue, Michael Dunne, K. Johnson, and Jennifer Stephens. 2015. Assessing the economic value of avoiding hospital admissions by shifting the management of gram plus acute bacterial skin and skin-structure infections to an outpatient care setting. Journal of Medical Economics 18: 1092–101. [Google Scholar] [CrossRef]
  45. Eldenburg, Leslle. 1994. The Use of Information in Total Cost Management. The Accounting Review 69: 96–121. [Google Scholar]
  46. Eldenburg, Leslle, and Ranjani Krishnan. 2006. Management Accounting and Control in Health Care: An Economics Perspective. Science Direct 6: 859–83. [Google Scholar] [CrossRef]
  47. Ellram, Lisa M. 2006. The Implementation of Target Costing in the United States: Theory versus practice. The Journal of Supply Chain Management 42: 13–26. [Google Scholar] [CrossRef]
  48. Emmett, Dennis, and Robert Forget. 2005. The utilization of activity-based cost accounting in hospitals. Journal of Hospital Marketing and Public Relations 15: 79–89. [Google Scholar] [CrossRef]
  49. Espinoza, Alexis V., Stefanie Devos, Robbert-Jan van Hooff, Maaike Fobelets, Alain Dupont, Maarten Moens, Ives Hubloue, Door Lauwaert, Pieter Cornu, Raf Brouns, and et al. 2017. Time Gain Needed for In-Ambulance Telemedicine: Cost-Utility Model. JMIR Mhealth and Uhealth 5: e8288. [Google Scholar]
  50. Eti, SSerife, Sean O’Mahony, Marlene McHugh, Rose Guilbe, Arthur Blank, and Peter Selwyn. 2014. Outcomes of the Acute Palliative Care Unit in an Academic Medical Center. American Journal of Hospice and Palliative Medicine® 31: 380–84. [Google Scholar] [CrossRef]
  51. Fang, Christopher J., Jonathan M. Shaker, Jacob M. Drew, Andrew Jawa, David A. Mattingly, and Eric L. Smith. 2021. The cost of hip and knee revision arthroplasty by diagnosis-related groups: Comparing time-driven activity-based costing and traditional accounting. Journal of Arthroplasty 36: 2674–79. [Google Scholar] [CrossRef]
  52. Ferreira, Fernando A. F. 2018. Mapping the field of arts-based management: Bibliographic coupling and co-citation analyses. Journal of Business Research 85: 348–57. [Google Scholar] [CrossRef]
  53. Ghaffari, Shahram, Chrisphoer Doran, Andrew Wilson, Chris Aisbett, and Terri Jackson. 2009. Investigating DRG cost weights for hospitals in middle income countries. International Journal of Health Planning and Management 24: 251–64. [Google Scholar] [CrossRef]
  54. Ghate, Sameer R., Joseph Biskupiak, Xiangyang Ye, Winghan J. Kwong, and Diana I. Brixner. 2011. All-Cause and Bleeding-Related Health Care Costs in Warfarin-Treated Patients with Atrial Fibrillation. Journal of Managed Care Pharmacy 17: 672–84. [Google Scholar]
  55. Glick, Noah D., Craig C. Blackmore, and William N. Zelman. 2000. Extending simulation modeling to activity-based costing for clinical procedures. Journal of Medical Systems 24: 77–89. [Google Scholar] [CrossRef]
  56. Gray, Paul, M. Abernethy, and J. Stoelwinder. 1987. Models for costing patient care services. part 1: Costing diagnostic laboratory services. Australian Health Review 10: 69–88. [Google Scholar]
  57. Guz, A. N., and J. J. Rushchitsky. 2009. Scopus: A system for the evaluation of scientific journals. International Applied Mechanics 45: 351–62. [Google Scholar]
  58. Harper, Paul R., N. H. Powell, and Janet E. Williams. 2010. Modelling the size and skill-mix of hospital nursing teams. Journal of the Operational Research Society 61: 768–79. [Google Scholar] [CrossRef]
  59. Hartmann, Marconi. 2013. Cost Mapping Through the RKW Method Applied in a Thermoplastic Industry. Bachelor’s thesis. Available online: http://www.fahor.com.br/images/Documentos/Biblioteca/TFCs/Eng_Producao/2013/Pro_Marconi.pdf (accessed on 2 May 2022).
  60. Hidalgo-Vega, Álvaro, Elham Askari, Rosa Vidal, Isaac Aranda-Reneo, Almudena Gonzalez-Dominguez, Alexandra Ivanova, Gabriela Ene, and Pilar Llamas. 2014. Direct vitamin K antagonist anticoagulant treatment health care costs in patients with non-valvular atrial fibrillation. BMC Health Services Research 14: 46. [Google Scholar] [CrossRef] [PubMed]
  61. Hongoro, Charles, and Natalya Dinat. 2011. A cost analysis of a hospital-based palliative care outreach program: Implications for expanding public sector palliative care in South Africa. Journal of Pain and Symptom Management 41: 1015–24. [Google Scholar] [CrossRef] [PubMed]
  62. Hopper, Trevor. 2005. Management Accounting Theory in Europe: Thirty Years Hard Labour. Presented at the Plenary Session, European Accounting Association 2005 Congress, Gothenburg, Sweden, 18–20 May. [Google Scholar]
  63. Hopper, Trevor, and Andrew Powell. 1985. Making sense of research into the organizations and social aspects of management accounting: A review of its underlying assumptions. Journal of Management Studies 22: 429–65. [Google Scholar] [CrossRef]
  64. Hopwood, Anthony G. 2007. Whither accounting research? The Accounting Review 82: 1365–74. [Google Scholar] [CrossRef]
  65. Horngren, Charles T., George Foster, and Srikant M. Datar. 2000. Cost Accounting, 9th ed. Translated by José Luiz Paravato. Rio de Janeiro: LTC. [Google Scholar]
  66. Jackson, Taylor J., Todd Blumberg, Apurva S. Shah, and Wudbhav N. Sankar. 2018. Inappropriately timed pediatric orthopaedic referrals from the emergency department result in unnecessary appointments and financial burden for patients. Journal of Pediatric Orthopaedics 38: e128–e132. [Google Scholar] [CrossRef]
  67. Jakovljevic, Mihajlo, Mirjana Varjacic, and Slobodan M. Jankovic. 2008. Cost-Effectiveness of Ritodrine and Fenoterol for Treatment of Preterm Labor in a Low–Middle-Income Country: A Case Study. Value in Health 11: 149–53. [Google Scholar] [CrossRef] [PubMed]
  68. Jarlier, Agnes, and Suzanne Charvet-Protat. 2000. Can improving quality decrease hospital costs? International Journal for Quality in Health Care 12: 125–31. [Google Scholar] [CrossRef] [PubMed]
  69. Javid, Mahdi, Mohammad Hadian, Hossein Ghaderi, Shahram Ghaffari, and Masoud Salehi. 2016. Application of the activity-based costing method for unit-cost calculation in a hospital. Global Journal of Health Science 8: 165–72. [Google Scholar] [CrossRef] [PubMed]
  70. Joret, Maximilian O., Anastasia Dean, Colin Cao, Joanna Stewart, and Venu Bhamidipaty. 2016. The financial burden of surgical and endovascular treatment of diabetic foot wounds. Journal of Vascular Surgery 64: 648–55. [Google Scholar] [CrossRef]
  71. Kakkuri-Knuuttila, Marja-Liisa, Kari Lukka, and Jaakko Kuorikoski. 2008. Straddling between paradigms: A naturalistic philosophical case study on interpretive research in management accounting. Accounting, Organizations and Society 33: 267–91. [Google Scholar] [CrossRef]
  72. Kaplan, Robert S., and Steven R. Anderson. 2004. Time driven activity-based costing. Harvard Business Review, 131–38. [Google Scholar]
  73. Kaplan, Robert S., and Steven R. Anderson. 2007. The innovation of time-driven activity-based costing. Cost Management 21: 5–15. [Google Scholar]
  74. Kawamata, Minoru, Yasuhiko Yamane, Takashi Horinouchi, Katsuyuki Nakanishi, Kenichirou Shimai, and Horoki Moriguchi. 2017. Assessment of methods used to import external brought-in image data using activity-based costing/activity-based management. Journal of Medical Imaging and Health Informatics 7: 764–70. [Google Scholar] [CrossRef]
  75. Keel, George, Rafiq Muhammad, Carl Savage, Jonas Spaak, Ismael Gonzalez, Peter Lindgren, Christian Gurrmann, and Pamela Mazzocato. 2020. Time-driven activity-based costing for patients with multiple chronic conditions: A mixed-method study to cost care in a multidisciplinary and integrated care delivery centre at a university-affiliated tertiary teaching hospital in Stockholm, Sweden. BMJ Open 10: e032573. [Google Scholar] [CrossRef]
  76. Kempeneers, Noah, L. Van Aken, and G. Van Herck. 1995. Toward more economic rationality in hospital cost accounting. Acta Hospitalia 35: 35–41. [Google Scholar]
  77. Kim, Eugene, Hye-Young Kwon, Sang H. Baek, Haeyoung Lee, Byung-Su Yoo, Seok-Min Kang, Youngkeun Ahn, and Bong-Min Yang. 2018. Medical costs in patients with heart failure after acute heart failure events: One-year follow-up study. Journal of Medical Economics 21: 288–93. [Google Scholar] [CrossRef]
  78. Koster, Fiona, Marc R. Kok, Jaco van der Kooij, Geeke Waverijn, Angelineque E. A. M. Weel-KoendersM, and Deirisa L. Barreto. 2023. Dealing with Time Estimates in Hospital Cost Accounting: Integrating Fuzzy Logic into Time-Driven Activity-Based Costing. Pharmacoecon Open 7: 593–603. [Google Scholar] [CrossRef] [PubMed]
  79. Kroon, Nanja, and Maria Alves. 2023a. Examining the Fit between Supply and Demand of the Accounting Professional’s Competencies: A Systematic Literature Review. International Journal of Management Education 21: 100872. [Google Scholar] [CrossRef]
  80. Kroon, Nanja, and Maria Alves. 2023b. Fifteen Years of Accounting Professional’s Competencies Supply and Demand: Evidencing Actors, Competency Assessment Strategies, and ‘Top Three’ Competencies. Administrative Sciences 13: 70. [Google Scholar] [CrossRef]
  81. Kroon, Nanja, Maria. C. Alves, and Isabel Martins. 2021. The Impacts of Emerging Technologies on Accountants’ Role and Skills: Connecting to Open Innovation—A Systematic Literature Review. Journal of Open Innovation: Technology, Market, and Complexity 7: 163. [Google Scholar]
  82. Labro, Eva, and Lorien Stice-Lawrence. 2020. Updating Accounting Systems: Longitudinal Evidence from the Healthcare Sector. Management Science 66: 6042–61. [Google Scholar] [CrossRef]
  83. Laurila, J., I. Suramo, E. M. Tolppanen, P. Koivukangas, P. Lanning, and C. G. Standertskjöld-Nordenstam. 2000. Activity-based costing in radiology: Application in a pediatric radiological unit. Acta Radiologica 41: 189–95. [Google Scholar] [CrossRef]
  84. Law, Mary, Debra Stewart, N. Pollock, Lori Letts, Jackie Bosch, and M. Westmorland. 1998. Critical Review Form—Quantitative Studies. Hamilton: Mac-Master University. [Google Scholar]
  85. Lee, Jeong-Min, Myeong-Jin Kim, Sith Phongkitkarun, Abhasnee Sobhonslidsuk, Anke-Peggy Holtorf, Harald Rinde, and Karsten Bergmann. 2016. Health economic evaluation of Gd-EOB-DTPA MRI vs. ECCM-MRI and multi-detector computed tomography in patients with suspected hepatocellular carcinoma in Thailand and South Korea. Journal of Medical Economics 19: 759–68. [Google Scholar] [CrossRef]
  86. Letts, Lori, S. Wilkins, Mary Law, Debra Stewart, Jackie Bosch, and M. Westmorland. 2007. Critical Review Form—Qualitative Studies (Version 2.0). Hamilton: Mac- Master University. [Google Scholar]
  87. Levy-Piedbois, C., I. Durand-Zaleski, H. Juhel, C. Schmitt, A. Bellanger, and P. Piedbois. 2000. Cost-effectiveness of second-line treatment with irinotecan or infusional 5-fluorouracil in metastatic colorectal cancer. Annals of Oncology 11: 157–61. [Google Scholar] [CrossRef]
  88. Levy, Emile, Sylvie Gabriel, and Jérôme Dinet. 2003. The Comparative Medical Costs of Atherothrombotic Disease in European Countries. Pharmaco Economics 21: 651–59. [Google Scholar] [CrossRef]
  89. Liberati, Alessandro, Douglas G. Altman, Jennifer Tetzlaff, Cynthia Mulrow, Peter C. Gøtzsche, John P. A. Ioannidis, Mike Clarke, P. J. Devereaux, Jos Kleijnen, and David Moher. 2009. The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: Explanation and elaboration. PLoS Medicine 6: e1000100. [Google Scholar] [CrossRef]
  90. Loizzo, M., F. Gallo, and D. Caruso. 2018. Reducing complications and overall healthcare costs of hip fracture management: A retrospective study on the application of a Diagnostic Therapeutic Pathway in the Cosenza General Hospital. Annali di Igiene Medicina Preventiva e di Comunita 30: 191–99. [Google Scholar] [PubMed]
  91. Lunney, Meaghan, Arian Samimi, Mohamad Osman, Kailash Jindal, Natasha Wiebe, Feng Ye, David W. Johnson, Adeera Levin, and Aminu K. Bello. 2019. Capacity of Kidney Care in Canada: Identifying barriers and opportunities. Canadian Journal of Kidney Health and Disease 6: 205435811987054. [Google Scholar] [CrossRef] [PubMed]
  92. Lynch, Wendy D., Karine Markosyan, Arthur K. Melkonian, Jacqueline Pesa, and Nathan L. Kleinman. 2009. Effect of Antihypertensive Medication Adherence Among Employees with Hypertension. American Journal of Managed Care 15: 871–80. [Google Scholar] [PubMed]
  93. Mahon, N. G., P. Rahallaigh, J. Brennan, M. B. Codd, H. A. McCann, and D. D. Sugrue. 1997. Cost of management of acute myocardial infarction in the thrombolytic era. Heart 77. [Google Scholar]
  94. Major, Maria J. 2017. Positivism and ‘alternative’ research in Accounting. Financial Accounting Magazine 28: 173–78. [Google Scholar] [CrossRef]
  95. Maniadakis, Nikos, Georgia Kourlaba, J. Shen, and Anke-Peggy Holtorf. 2017. Comprehensive taxonomy and worldwide trends in pharmaceutical policies in relation to country income status. BMC Health Services Research 17: 371. [Google Scholar] [CrossRef]
  96. Marques, Isabel C. P., and Alba K. M. Carvalho. 2020. Evolution of studies on orthopaedic surgery regarding cost management tools: A systematic literature review. Journal of Orthopaedics and Sports Medicine 2: 1–28. [Google Scholar] [CrossRef]
  97. Martins, E. 2000. Cost Accounting, 7th ed. São Paulo: Atlas. [Google Scholar]
  98. Massaro, Maurizio, John Dumay, and James Guthrie. 2016. On the shoulders of giants: Undertaking a structured literature review in accounting. Accounting, Auditing and Accountability Journal 29: 767–801. [Google Scholar] [CrossRef]
  99. Mercier, Gregoire, and Gerald Naro. 2014. Costing hospital surgery services: The method matters. PLoS ONE 9: e97290. [Google Scholar] [CrossRef]
  100. Merollini, Katharina M., Ross W. Crawford, and Nicholas Graves. 2013. Surgical treatment approaches and reimbursement costs of surgical site infections post hip arthroplasty in Australia: A retrospective analysis. BMC Health Services Research 13: 91. [Google Scholar] [CrossRef]
  101. Monnickendam, Giles, and Carlo de Asmundis. 2018. Why the distribution matters: Using discrete event simulation to demonstrate the impact of the distribution of procedure times on hospital operating room utilization and average procedure cost. Operations Research for Health Care 16: 20–28. [Google Scholar] [CrossRef]
  102. Morgan, David. L. 2007. Paradigms lost and pragmatism regained: Methodological implications of combining qualitative and quantitative methods. Journal of Mixed Method Research 1: 48–76. [Google Scholar] [CrossRef]
  103. Mori, Amani Thomas, and Cecilia J. Nyabakari. 2023. Cost of image-guided percutaneous nephrostomy among cervical cancer patients at Muhimbili National Hospital in Tanzania. Cost Effectiveness and Resource Allocation 21: 33. [Google Scholar] [CrossRef] [PubMed]
  104. Mortuaire, G., D. Theis, R. Fackeure, D. Chevalier, and I. Gengler. 2018. Cost-effectiveness assessment in outpatient sinonasal surgery. European Annals of Otorhinolaryngology. Head and Neck Diseases 135: 11–15. [Google Scholar]
  105. Myint, Phyo K., John F. Potter, Gill M. Price, Garry R. Barton, Anthony K. Metcalf, Rachel Hale, Genevieve Dalton, Stanley D. Musgrave, Abraham George, Raj Shekhar, and et al. 2011. Evaluation of stroke services in Anglia stroke clinical network to examine the variation in acute services and stroke outcomes. BMC Health Services Research 11: 50. [Google Scholar] [CrossRef]
  106. Nakagawa, Yoshiaki, Tadamasa Takemura, Hiroyuki Yoshihara, and Yoshinobu Nakagawa. 2011. A New Accounting System for Financial Balance Based on Personnel Cost After the Introduction of a DPC/DRG System. Journal of Medical Systems 35: 251–64. [Google Scholar] [CrossRef]
  107. Nayak, Bishwajit, Som S. Bhattacharyya, and Bala Krishnamoorthy. 2022. Exploring the black box of competitive advantage—An integrated bibliometric and chronological literature review approach. Journal of Business Research 139: 964–82. [Google Scholar] [CrossRef]
  108. Neriz, Liliana, Alicia Núñez, and Freancisco Ramis. 2014. A cost management model for hospital food and nutrition in a public hospital. BMC Health Services Research 14: 542. [Google Scholar] [CrossRef]
  109. Noronha, Marina F., Claudia T. Veras, Iuri C. Leite, Monica S. Martins, Francisco Braga Neto, and Lynn Silver. 1991. The development of” Diagnosis Related Groups “-DRGs. Methodology of classification of hospital patients. Journal of Public Health 25: 198–208. [Google Scholar]
  110. Oostenbrink, Rianne, Jan B. Oostenbrink, Karel G. M. Moons, Gerarda Derksen-Lubsen, Diederick E. Grobbee, W. Ken Redekop, and Henriette A. Moll. 2003. Application of a Diagnostic Decision Rule in Children with Meningeal Sins: A Cost-minimization Study. International Journal of Technology Assessment in Health Care 19: 698–704. [Google Scholar] [CrossRef]
  111. Orloff, Tracey M., Candace L. Littell, Christopher Clune, David Klingman, and Bonnie Preston. 1990. Hospital cost accounting: Who’s doing what and why. Health Care Management Review 15: 73–78. [Google Scholar] [CrossRef]
  112. Orrick, Joanne J., Richard Segal, Thomas E. Johns, Wayne Russel, Feng Wang, and Donald D. Yin. 2004. Resource use and cost of care for patients hospitalised with community-acquired pneumonia: Impact of adherence to infectious diseases society of America guidelines. Pharmacoeconomics 22: 751–57. [Google Scholar] [CrossRef] [PubMed]
  113. Owens, Jacqueline K. 2021. Systematic reviews: Brief overview of methods, limitations, and resources. Nurse Author & Editor 31: 69–72. [Google Scholar]
  114. Özyapici, Hasan, and Veyis N. Taniş. 2017. Comparison of cost determination of both resource consumption accounting and time-driven activity-based costing systems in a healthcare setting. Australian Health Review 4: 201–6. [Google Scholar] [CrossRef]
  115. Page, Matthew J., Joanne E. McKenzie, Patrick M. Bossuyt, Isabelle Boutron, Tammy C. Hoffmann, Cynthia D. Mulrow, Larissa Shamseer, Jennifer M. Tetzlaff, Elie A. Akl, Sue E. Brennan, and et al. 2021. The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ 372: n71. [Google Scholar] [CrossRef]
  116. Petticrew, Mark, and Helen Roberts. 2008. Systematic Reviews in the Social Sciences: A Practical Guide, Kindle ed. Oxford: Wiley-Blackwell. [Google Scholar]
  117. Plantier, Morgane, Nathalie Havet, Thierry Durand, Nicolas Caquot, Camille Amaz, Irene Philip, Pierre Biron, and Lionel Perrier. 2017. Does adoption of electronic health records improve organizational performances of hospital surgical units? Results from the French e-SI (PREPS-SIPS) study. International Journal of Medical Informatics 98: 47–55. [Google Scholar] [CrossRef] [PubMed]
  118. Popesko, Boris. 2013. Specifics of the Activity-Based Costing applications in hospital management. International Journal of Collaborative Research on Internal Medicine & Public Health 5: 179–86. [Google Scholar]
  119. Popesko, Boris, Petr Novák, and Šarka Papadaki. 2015. Measuring diagnosis and patient profitability in healthcare: Economics vs ethics. Economics and Sociology 8: 234–45. [Google Scholar] [CrossRef]
  120. Powe, Neil R., Jonathan P. Weiner, Barbara Starfield, Mary Stuart, Andrew Baker, and Donald M. Steinwachs. 1996. System wide Provider Performance in a Medicaid Program: Profiling the Care of Patients with Chronic Illnesses. Medical Care 34: 798–810. [Google Scholar] [CrossRef]
  121. Prescott, Jeff D., Saul Factor, Michael Pill, and Gary Levi. 2007. Descriptive analysis of the direct medical costs of multiple sclerosis in 2004 using administrative claims in a large nationwide database. Journal of Managed Care Pharmacy 13: 44–52. [Google Scholar] [CrossRef]
  122. Raven, Maria C., Kelly M. Doran, Shannon Kostrowski, Colleen C. Gillespie, and Brian D. Elbel. 2011. An intervention to improve care and reduce costs for high-risk patients with frequent hospital admissions: A pilot study. BMC Health Services Research 11: 270. [Google Scholar] [CrossRef]
  123. Rego, Guilhermina, Rui Nunes, and José Costa. 2010. The challenge of corporatisation: The experience of Portuguese public hospitals. The European Journal of Health Economics 11: 367–81. [Google Scholar] [CrossRef] [PubMed]
  124. Reuben, David B., Emmett Keeler, Teresa Seeman, Ase Sewall, Susan H. Hirsch, and Jack M. Guralnik. 2002. Development of a Method to Identify Seniors at High Risk for High Hospital Utilization. Medical Care 40: 782–93. [Google Scholar] [CrossRef] [PubMed]
  125. Riewpaiboon, Arthorn, Penkae Pornlertwadee, and Kwanjai Pongsawat. 2007. Diabetes Cost Model of a Hospital in Thailand. Value in Health 10: 223–30. [Google Scholar] [CrossRef] [PubMed]
  126. Rigby, K. D., and J. C.B. Litt. 2000. Errors in health care management: What do they cost? Quality in Health Care 9: 216–21. [Google Scholar] [CrossRef] [PubMed]
  127. Rinaldo, J. A., Jr., D. J. McCubbrey, and J. R. Shryock. 1981. The care monitoring, cost forecasting and cost monitoring system. Journal of Clinical Computing 9: 72–85. [Google Scholar] [CrossRef]
  128. Rodrigues, Margarida, Maria-C. Alves, Cidália Oliveira, Vera Vale, José Vale, and Rui Silva. 2021. Dissemination of Social Accounting Information: A Bibliometric Review. Economies 9: 41. [Google Scholar] [CrossRef]
  129. Rodrigues, Margarida, Maria-C. Alves, Rui Silva, and Cidália Oliveira. 2022. Mapping the Literature on Social Responsibility and Stakeholders’ Pressures in the Mining Industry. Journal of Risk and Financial Management 15: 425. [Google Scholar] [CrossRef]
  130. Rojas-Lamorena, Álvaro J., Salvador Del Barrio-García, and Juan M. Alcántara-Pilar. 2022. A review of three decades of academic research on brand equity: A bibliometric approach using co-word analysis and bibliographic coupling. Journal of Business Research 139: 1067–83. [Google Scholar] [CrossRef]
  131. Rosenbaum, H. L., T. M. Willert, E. A. Kelly, J. F. Grey, and B. R. McDonald. 1988. Costing out nursing services based on acuity. Journal of Nursing Administration 18: 10–15. [Google Scholar] [CrossRef]
  132. Russell, Heidi, Andrew Street, and Vivian Ho. 2016. How Well Do All Patient Refined–Diagnosis-Related Groups Explain Costs of Pediatric Cancer Chemotherapy Admissions in the United States? Journal of Oncology Practice 12: e564–e575. [Google Scholar] [CrossRef]
  133. Ryan, J. 1997. Enhanced ABC costing for hospitals: Directed expense costing. Hospital Cost Management and Accounting 9: 5–8. [Google Scholar] [PubMed]
  134. Salas, J. del Diego, A. Orly L. Lima, J. Espin Balbino, C. Bermudez Tamayo, and J. Fernandez-Crehuet Navajas. 2016. An economic evaluation of two interventions for the prevention of post-surgical infections in cardiac surgery. Revista de Calidad Asistencial 31: 27–33. [Google Scholar] [CrossRef]
  135. Saraswathula, Anirudh, Samantha J. Merck, Ge Bai, Christinne M. Weston, Elizabeth A. Skinner, April Taylor, Allen Kachalia, Renee Demski, Albert W. Wu, and Stephen A. Berry. 2023. The Volume and Cost of Quality Metric Reporting. JAMA 329: 1840–47. [Google Scholar]
  136. Sopariwala, P. R. 1997. How much does excess inpatient capacity really cost? Healthcare Financial Management 51: 54–58+60+62. [Google Scholar] [PubMed]
  137. Stahl, James E., Warren S. Sandberg, Bethany Daily, Richard Wiklund, Marie T. Egan, Julian M. Goldman, Keith B. Isaacson, Scott Gazelle, and David W. Rattner. 2006. Reorganizing patient care and workflow in the operating room: A cost-effectiveness study. Surgery 139: 717–28. [Google Scholar] [CrossRef]
  138. Strauss, Anselm, and Juliet Corbin. 1990. Basics of Qualitative Research, 1st ed. London: Sage. [Google Scholar]
  139. Tarbit, I. F. 1986. Costing clinical biochemistry services as part of an operational management budgeting system. Journal of Clinical Pathology 39: 817–27. [Google Scholar] [CrossRef]
  140. Thomson, Kalen K., Arifur Rahman, Tom J. Cooper, and Atanu Sarkar. 2019. Exploring relevance, public perceptions, and business models for establishment of private well water quality monitoring service. International Journal of Health Planning and Management 34: e1098–e1118. [Google Scholar] [CrossRef]
  141. Tran, Phung T. H., Trung Q. Vo, Duyen T. P. Huynh, Luyen D. Pham, and Thuy Van Ha. 2018. Medical services for a provincial hospital in Vietnam: Cost analysis for data management. Journal of Clinical and Diagnostic Research 12: LC33–LC37. [Google Scholar] [CrossRef]
  142. Tranfield, David, David Denyer, and Palminder Smart. 2003. Towards a methodology for developing evidence informed management knowledge by means of systematic review. Journal British Academy of Management 14: 207–22. [Google Scholar] [CrossRef]
  143. Trenchard, P. M., and R. Dixon. 1997a. The practice of quality-associated costing: Application to transfusion manufacturing processes. Quality Management in Health Care 5: 53–65. [Google Scholar] [CrossRef]
  144. Trenchard, P. M., and R. Dixon. 1997b. The principles of quality-associated costing: Derivation from clinical transfusion practice. Quality Management in Health Care 5: 43–52. [Google Scholar] [CrossRef] [PubMed]
  145. Urquhart, Cathy. 2013. Grounded Theory for Qualitative Research: A Practical Guide. London: SAGE Publications, Ltd. [Google Scholar] [CrossRef]
  146. Uyar, Ali, Merve Kılıç, and Mehmet A. Köseoglu. 2020. Exploring the conceptual structure of the auditing discipline through co-word analysis: An international perspective. International Journal of Auditing 24: 53–72. [Google Scholar] [CrossRef]
  147. Vergara, Sylvia C. 2005. Administration Research Method. São Paulo: Atlas. [Google Scholar]
  148. Vogl, Matthias. 2012. Assessing DRG cost accounting with respect to resource allocation and tariff calculation: The case of Germany. Health Economics Review 2: 1–12. [Google Scholar] [CrossRef] [PubMed]
  149. Vogl, Matthias. 2013. Improving patient-level costing in the english and the German ‘DRG’ system. Health Policy 109: 290–300. [Google Scholar] [CrossRef]
  150. Vogl, Thomas J., Nagy N. Naguib, Nour-Eldin A. Nour-Eldin, Wolf O. Bechstein, Stefan Zeuzem, Jorg Trojan, and Tatjana Gruber-Rouh. 2012. Transarterial chemoembolization in the treatment of patients with unresectable cholangiocarcinoma: Results and prognostic factors governing treatment success. International Journal of Cancer 131: 733–40. [Google Scholar] [CrossRef]
  151. Weaver, Marcia R., Christopher J. Conover, Rae J. Proescholdbell, Peter S. Arno, Alfonso Ang, Karina K. Uldall, and Susan L. Ettner. 2009. Cost-effectiveness Analysis of Integrated Care for People with HIV, Chronic Mental Illness and Substance Abuse Disorders. Journal of Mental Policy and Economics 12: 33–46. [Google Scholar]
  152. Wenzel, Richard P. 1987. The economics of nosocomial infections. The Journal of Hospital Infection 31: 79–87. [Google Scholar] [CrossRef]
  153. Whiting, Penny, Maiwenn Al, Marie Westwood, Isaac C. Ramos, Steve Ryder, Nigel Armstrong, Kate Misso, Janine Ross, Hans Severens, and Joseph Kleijnen. 2015. Viscoelastic point-of-care testing to assist with the diagnosis, management and monitoring of haemostasis: A systematic review and cost-effectiveness analysis. Health Technology Assessment 19: 1–228. [Google Scholar] [CrossRef]
  154. Zeller, Thomas L., Anthony J. Senagore, and Gary Siegel. 1999. Manage indirect practice expense the way you practice medicine: With information. Diseases of the Colon and Rectum 42: 579–89. [Google Scholar] [CrossRef]
  155. Zhang, Yuna, and Godfried Augenbroe. 2018. Optimal demand charge reduction for commercial buildings through a combination of efficiency and flexibility measures. Applied Energy 221: 180–94. [Google Scholar] [CrossRef]
  156. Zheng, Xiaosong S., Jixuan Chen, Linhui Wang, and Pengyu Li. 2018. Application of ABC in Small and Medium-sized Public Hospitals: A Case Study of a Maternal and Child Health Hospital. Transformations in Business & Economics 17: 507–23. [Google Scholar]
  157. Zulman, Donna M., Stephen C. Ezeji-Okoye, Jonathan G. Shaw, Debra L. Hummel, Katie S. Holloway, Sasha F. Smither, Jessica Y. Breland, John F. Chardos, Susan Kirsh, James S. Kahn, and et al. 2014. Partnered Research in Healthcare Delivery Redesign for High-Need, High-Cost Patients: Development and Feasibility of an Intensive Management Patient-Aligned Care Team (ImPACT). Journal of General Internal Medicine 29: 861–69. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Protocol used for SLR (adapted from Tranfield et al. 2003).
Figure 1. Protocol used for SLR (adapted from Tranfield et al. 2003).
Jrfm 16 00433 g001
Figure 2. PRISMA flowchart of the study selection process (adapted from Page et al. 2021, Law et al. 1998, Letts et al. 2007).
Figure 2. PRISMA flowchart of the study selection process (adapted from Page et al. 2021, Law et al. 1998, Letts et al. 2007).
Jrfm 16 00433 g002
Figure 3. Evolution of scientific production over the last 42 years (172 articles).
Figure 3. Evolution of scientific production over the last 42 years (172 articles).
Jrfm 16 00433 g003
Figure 4. Number of articles per decade.
Figure 4. Number of articles per decade.
Jrfm 16 00433 g004
Figure 5. The evolution of the research paradigms and approaches by decade.
Figure 5. The evolution of the research paradigms and approaches by decade.
Jrfm 16 00433 g005
Figure 6. Evolution of hospital costs.
Figure 6. Evolution of hospital costs.
Jrfm 16 00433 g006
Figure 7. Costing model to help hospital organizational performance.
Figure 7. Costing model to help hospital organizational performance.
Jrfm 16 00433 g007
Table 1. Geographical distribution of the scientific publications analyzed.
Table 1. Geographical distribution of the scientific publications analyzed.
CountriesStudies
(n = 172)
EUA27
England14
France12
Germany, Italy—11 studies per country22
Australia, Japan—9 studies per country18
Spain, Canada—8 studies per country16
China, Finland, Iran, Poland, Portugal, Czech Republic, Vietnam, Belgium—4 studies per country32
Austria, Brazil, Chile, Denmark, Ghana, Greece, Malaysia, Norway, New Zealand, Netherlands, Peru, Serbia, South Africa, Thailand, Turkey, South Korea—1 study per country16
Joint studies (Austria, Italy, Portugal, Sweden, Belgium, France, Spain, Switzerland; Holland, Belgium; Austria, New Zealand; England, Germany; Canada, Spain; South Korea, Thailand; Italy, Croatia)15
Table 2. Journals with the highest impact factors.
Table 2. Journals with the highest impact factors.
JournalImpact Factor
(2018)
Number of Articles
Annals of Oncology13.931
International Journal of Radiation Oncology Biology Physics5.551
Value in Health 5.493
Heart5.421
JMIR Mhealth and Uhealth 4.541
Clinical Orthopaedics and Related Research4.091
Health Technology Assessment 4.061
Surgery3.571
Pharmacoeconomics 3.243
Journal of Medical Systems2.832
Management Science 2.831
Table 3. Evolution of costing methods and types of analyses by decade.
Table 3. Evolution of costing methods and types of analyses by decade.
Costing Methods and Analyses 1980–19891990–19992000–20092010–20192020–2023
Descriptive analysis00102812
Activity-based costing (ABC)044139
Management models, methods, and tools134114
Costs of diagnosis-related groups (DRGs)11388
Standard cost44040
ABC costing and other methods00250
Cost-effectiveness analyses01140
Miscellaneous mixed costs02220
Departmental costs20100
Average cost00020
Variable cost00020
DRG costs and other methods20000
Econometrics00200
Microcosting00010
Statistical analysis; marginal cost00020
Systematic literature review00120
Table 4. Classification of studies in terms of cost management tools.
Table 4. Classification of studies in terms of cost management tools.
Elements forVariablesNumber of ArticlesFrequency (%)Total (%)
Measurement methodsActivity-based cost (ABC)3118.0245.93
Mixed cost1911.05
Standard cost169.30
Variable costing, departmental costing, microcosting137.56
Costs for decision making and controlBreak-even point, contribution margin, management models, methods and tools, cost-effectiveness2313.3713.37
Strategic cost managementCost-effectiveness, competitor analysis, value chain analysis4626.7438.37
Diagnosis-related groups analyses148.14
Statistical analyses31.74
Quality costs31.74
OthersSystematic literature review42.332.33
Total172100100
Table 5. Classification of the types of in-hospital costs.
Table 5. Classification of the types of in-hospital costs.
Hospital CostsNumber of ArticlesFrequency (%)
Costs of hospital processes (examples: laundry, material, and sterilization, nutrition)5733.1
Treatment costs for specific pathologies4123.8
Miscellaneous issues involving hospital costs (examples: cost methodologies, hospital reimbursement, strategic planning)2112.2
Costs of diagnostic therapies (examples: X-ray, ultrasound, tomography, echocardiogram, cardiac catheterization, laboratory tests)1810.5
Costs of surgical procedures (examples: gastroplasty, appendectomy, cholecystectomy)137.6
Drug therapy costs127
Costs involving health professionals (examples: doctors, nurses, physiotherapists, speech therapists)105.8
172100
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Marques, I.C.P.; Alves, M.-C. Hospital Costing Methods: Four Decades of Literature Review. J. Risk Financial Manag. 2023, 16, 433. https://doi.org/10.3390/jrfm16100433

AMA Style

Marques ICP, Alves M-C. Hospital Costing Methods: Four Decades of Literature Review. Journal of Risk and Financial Management. 2023; 16(10):433. https://doi.org/10.3390/jrfm16100433

Chicago/Turabian Style

Marques, Isabel C. P., and Maria-Ceu Alves. 2023. "Hospital Costing Methods: Four Decades of Literature Review" Journal of Risk and Financial Management 16, no. 10: 433. https://doi.org/10.3390/jrfm16100433

APA Style

Marques, I. C. P., & Alves, M. -C. (2023). Hospital Costing Methods: Four Decades of Literature Review. Journal of Risk and Financial Management, 16(10), 433. https://doi.org/10.3390/jrfm16100433

Article Metrics

Back to TopTop