Next Article in Journal
Changes in Exercise Capacity and Ventricular Function in Arrhythmogenic Right Ventricular Cardiomyopathy: The Impact of Sports Restriction during Follow-Up
Next Article in Special Issue
Measuring of Advanced Glycation End Products in Acute Stroke Care: Skin Autofluorescence as a Predictor of Ischemic Stroke Outcome in Patients with Diabetes Mellitus
Previous Article in Journal
Controversies in Choledochal Malformation in Children: An International Survey among Pediatric Hepatobiliary Surgeons and Gastroenterologists
Previous Article in Special Issue
Non-Alcoholic Fatty Liver Disease and Risk of Macro- and Microvascular Complications in Patients with Type 2 Diabetes
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Development of a Complex Intervention for Effective Management of Type 2 Diabetes in a Developing Country

1
School of Nursing and Midwifery, Centre for Quality and Patient Safety Research, Institute for Health Transformation, Faculty of Health, Deakin University, Geelong, VIC 3217, Australia
2
Deakin Rural Health, School of Medicine, Faculty of Health, Deakin University, Geelong, VIC 3217, Australia
3
Deakin Health Economics, Institute for Healthcare Transformation, Deakin University, Geelong, VIC 3217, Australia
4
Department of Internal Medicine, College of Health Sciences, Addis Ababa University, Addis Ababa 9086, Ethiopia
*
Author to whom correspondence should be addressed.
J. Clin. Med. 2022, 11(5), 1149; https://doi.org/10.3390/jcm11051149
Submission received: 24 January 2022 / Revised: 17 February 2022 / Accepted: 18 February 2022 / Published: 22 February 2022
(This article belongs to the Special Issue Clinical Research on Type 2 Diabetes and Its Complications)

Abstract

:
There has been little focus on designing tailored diabetes management strategies in developing countries. The aim of this study is to develop a theory-driven, tailored and context-specific complex intervention for the effective management of type 2 diabetes at a tertiary care setting of a developing country. We conducted interviews and focus groups with patients, health professionals, and policymakers and undertook thematic analysis to identify gaps in diabetes management. The results of our previously completed systematic review informed data collection. We used the United Kingdom Medical Research Council framework to guide the development of the intervention. Results comprised 48 interviews, two focus groups with 11 participants and three co-design panels with 24 participants. We identified a lack of structured type 2 diabetes education, counselling, and collaborative care of type 2 diabetes. Through triangulation of the evidence obtained from data collection, we developed an intervention called VICKY (patient-centred collaborative care and structured diabetes education and counselling) for effective management of type 2 diabetes. VICKY comprised five components: (1) patient-centred collaborative care; (2) referral system for patients across transitions of care between different health professionals of the diabetes care team; (3) tools for the provision of collaborative care and documentation of care; (4) diabetes education and counselling by trained diabetes educators; and (5) contextualised diabetes education curriculum, educational materials, and documentation tools for diabetes education and counselling. Implementation of the intervention may help to promote evidence-based, patient-centred, and contextualised diabetes care for improved patient outcomes in a developing country.

1. Introduction

Type 2 diabetes is a global public health problem and an economic burden to nations, particularly developing countries [1]. It contributes to cardiovascular complications, such as ischemic heart disease, heart failure, and renal disorders [2,3,4].
Ineffective management of type 2 diabetes has been associated with poor clinical outcomes, which include disease progression, and increased health services utilisation, such as repeated hospitalisations and high all-cause mortality [5,6,7]. In Sub-Saharan Africa (SSA) [8,9,10] including Ethiopia [11,12,13], there exists a high rate of diabetes-related morbidity and mortality, high cost of diabetes care, and poor quality of life for patients with type 2 diabetes. Excessive levels of diabetes-related problems and high cost of type 2 diabetes care in SSA are attributed to widespread lack of treatment success, stemming from inadequate organisational involvement and delivery of care [8,9,14]. Multiple contributing factors exist in the region, such as a lack of contextually tailored diabetes management approaches, inadequate diabetes training of health professionals, and low levels of collaborative care and effective shared treatment plans developed by patients and health professionals [10,14,15,16]. In Ethiopia, similar factors contributing to ineffective management of type 2 diabetes exist, including inadequate collaborative care among pharmacists, physicians, and nurses; lack of structured diabetes education; and high levels of medication therapy problems and diabetes complications [13,17,18,19,20,21,22,23].
Patient-centred collaborative care and the use of culturally tailored interventions, including behavioural interventions, can improve diabetes care in low-income countries [14,24,25]. Evidence indicates that SSA nations require evidence-based type 2 diabetes management strategies tailored to the context and aimed at reducing diabetes-related morbidity and mortality and high healthcare costs [10,16,26]. However, there has been little focus on designing contextually tailored type 2 diabetes management strategies in this region. While evidence suggests that structured diabetes education and counselling and collaborative care by pharmacists, physicians, nurses, and other health professionals can improve health outcomes and cost of type 2 diabetes treatment [27,28,29,30], implementation needs for such elements of care are not readily understood for type 2 diabetes in Ethiopia [21,22,31,32]. Furthermore, studies examining type 2 diabetes in Ethiopia are mainly observational and focused on the rate of glycemic control, magnitude of diabetes-related complications, quality of care, and mortality. Moreover, there has been no focus on designing appropriately tailored interventions to improve diabetes care [12,13,18,33,34,35,36,37,38]. To the authors’ knowledge, there has been no pragmatic study undertaken to explore the dynamics of current management for type 2 diabetes at a micro- or meso-level or devise much-needed diabetes management strategies tailored to SSA [10,14,16,39,40].
The aim of this study was to develop a theory-driven, tailored, and context-specific complex intervention for the effective management of type 2 diabetes at a tertiary care setting of a developing country.

2. Materials and Methods

The study was undertaken at the diabetes centre of a tertiary teaching hospital (Tikur Anbessa Specialised Hospital) in Addis Ababa, Ethiopia. Diabetes care is provided at the diabetes centre of the hospital by endocrinologists, endocrinology fellows, internal medicine residents, and nurses [41]. Each month, the diabetes centre serves about 1200 ambulatory patients with type 2 diabetes [42].
The United Kingdom Medical Research Council (UK MRC) [43] framework was used to guide the development of a complex intervention. The MRC framework comprises detailed information about the systematic development of interventions. It utilises the best available evidence and appropriate theory to develop an intervention using a carefully phased approach [43]. The framework has four key elements (Figure 1) [43]: developing a complex intervention, feasibility and piloting, evaluation, and implementation.

2.1. Developing a Complex Intervention

Developing a complex intervention involves three steps (Figure 1): (1) identifying the evidence base, (2) identifying and developing an appropriate theory of the intervention, and (3) modelling the process and outcomes of a complex intervention [43]. This study used all three steps throughout the development of the intervention.

2.2. Identifying the Evidence Base

The first stage in the development of a complex intervention is to identify an existing, relevant evidence base [43]. We undertook a systematic review on the effectiveness of clinical pharmacy interventions on health and economic outcomes of patients with type 2 diabetes [30]. We also completed semi-structured interviews and focus groups with adult patients with type 2 diabetes, health professionals, and policymakers of Tikur Anbessa Specialised Hospital (TASH) and the Ministry of Health of Ethiopia to generate evidence and identify gaps in the management of type 2 diabetes at the hospital. We brought all the relevant evidence obtained through the systematic review [30], interviews, and focus groups together to understand the issues relating to effective and ineffective management of type 2 diabetes and the relevant behaviours that could be targeted for the intervention.

2.3. Identifying and Developing Theory

Identification and development of appropriate theory in intervention design is key to understanding the possible processes of change [43,44]. The use of a theoretical approach in the design of healthcare interventions has been demonstrated to improve the effectiveness of the interventions [44,45,46]. In this study, the Behaviour Change Wheel (BCW) framework [46,47] was used as a guide to develop an evidence-based behaviour change intervention for the effective management of type 2 diabetes. Use of the BCW supplements the MRC framework to design effective complex interventions to change behaviour in a healthcare system [44,48]. The framework can be used to develop interventions at any level (individuals, groups, and organisations) in healthcare systems [47]. The BCW framework has been effectively implemented in developing behaviour change interventions in healthcare [49,50,51,52,53]. The theory of the complex intervention for this study focused on designing an organisational level intervention, as this approach has been demonstrated to improve the effectiveness of type 2 diabetes management in previous studies [54,55,56].
We used a co-design panel comprising patients, health professionals, and policymakers at TASH and the Ministry of Health of Ethiopia with a representative of the Ethiopian Diabetes Association and incorporated the findings from the systematic review [30], interviews, and focus groups to inform the initial stages of development of the theory of the complex intervention. We conducted three consecutive co-design workshops with the co-design panel to help with the first two stages of the BCW [47] (Figure 2).

2.3.1. Workshop I

The first co-design workshop involved health professionals, policymakers from TASH and the Ministry of Health of Ethiopia, and a professional officer from the Ethiopian Diabetes Association (Figure 2). During the workshop, we sought to define the problems affecting the effective management of type 2 diabetes in behavioural terms and selected potential target behaviours deemed to improve the management of type 2 diabetes. The co-design panel also discussed the findings of interviews and focus groups and validated that they truly reflected the existing challenges of diabetes care at the diabetes centre of TASH. The panel then defined the problem of suboptimal management of type 2 diabetes in behavioural terms and identified potential target behaviours for the intervention that would help to improve the management of type 2 at TASH using the findings from the systematic review [30], interviews, and focus groups [42]. The identification of potential target behaviour based on impact, measurability, changeability, and spillover effect was undertaken by rating each list of potential target behaviours identified via interviews and focus groups as unacceptable, unpromising but worth considering, promising, and very promising, by each participant of the co-design panel [47].

2.3.2. Workshop II

We conducted the second co-design workshop with patients with type 2 diabetes (Figure 2). The purpose of undertaking workshop II was to incorporate the views and experiences of patients and engage them in the intervention design. In this workshop, patients discussed the findings of the systematic review [30], interviews and focus groups, and validated these findings; they defined the problem related to facilitating effective management of type 2 diabetes in behavioural terms; and selected potential target behaviours deemed to address the problem. In this workshop, each co-design panel member rated and identified potential target behaviours as described for workshop I. The panel also elected and assigned one patient amongst the group who participated in the third co-design workshop.

2.3.3. Workshop III

A joint workshop was undertaken with a nominated patient, health professionals, policymakers, and a professional officer from the Ethiopian Diabetes Association. The workshop involved examining the defined problem related to the effective management of type 2 diabetes and the selected potential target behaviours during the two separate workshops (workshop I and II). The workshop panel members specified the target behaviours that were agreed upon. In workshop III, the panel members discussed and reached a consensus on the defined problem related to effective management of type 2 diabetes and the selected potential target behaviours at workshops I and II (Figure 2). The criteria for prioritisation and selection of the potential target behaviours for the intervention in workshop III followed the same procedures used in workshops I and III. The co-design panel in the third workshop specified the potential target behaviours for the intervention in terms of the following:
  • Who needs to perform the behaviour?
  • What do they need to do differently to achieve the desired change?
  • When do they need to do it?
  • Where do they need to do it?
  • How often do they need to do it?
  • With whom do they need to do it?
The co-design panel worked through stage one to stage three of the behaviour change intervention design process [47]. The steps in the BCW (Figure 3) were sequentially explored by the co-design panel throughout the three workshops, to both ensure that the appropriate behaviours were targeted, and the intervention functions were achievable and practical in the context of TASH.

Stage One

This stage involved four steps (Figure 3) [47]. Step I involved defining the problem in behavioural terms (i.e., being specific about the target individual, group, or population involved in the behaviour and the behaviour itself). Step II comprised selecting the target behaviour for the intervention among a list of behaviours [47]. Step III involved specifying the target behaviour. Step IV comprised identifying what needs to change for the behaviour to change in terms of capability, opportunity, and/or motivation in the target population, group, or individual [47].

Stage Two

This stage involves the use of the behavioural diagnosis [47] to:
  • Decide what ‘intervention functions’ to apply: education, persuasion, incentivisation, coercion, training, restriction, environmental restructuring, modelling, and enablement;
  • Select implementation strategy: fiscal policy, legislation, regulation, environmental planning, communications, service provision, and guidelines development.

Stage Three

The focus of the third stage is to:
  • Develop a detailed intervention plan by selecting from among a range of specific behaviour change techniques (BCTs) [57]. Michie identified 93 BCTs within 16 groupings. We used Michie’s BCTs [57] to characterise components for the behavioural intervention in this study;
  • Create the detailed intervention specification covering all aspects of content and delivery of the intervention structured around the chosen BCTs and modes of delivery.
Appropriate intervention functions, BCTs, and intervention contents were determined through discussion between the co-design panel and the research team and using the APEASE criteria [47]. The APEASE criteria refer to affordability, practicability, effectiveness, acceptability, safety/side effects, and equity [47].

2.4. Modelling and Creating a Complex Intervention

Modelling of a complex intervention [43] helps to precisely describe and comprehend the interaction of individual intervention components, and perceive possible effects of the intervention [58]. The careful design of a model of a complex intervention is a critical step in designing tailored and contextualised interventions in healthcare systems and choosing appropriate outcomes so that the benefits and risks of the interventions are demonstrated effectively [58].
In this study, we operationalised the intervention functions and BCTs into a complex intervention to improve the effectiveness of type 2 diabetes management. The researchers collaborated with the co-design panels in operationalising the intervention functions and BCTs into the mode of care delivery using the BCW framework [47]. We used the Revised Standards for Quality Improvement Reporting Excellence: (SQUIRE 2.0) publication guidelines [59] to report the findings of this study (Supplementary Materials Table S1).

3. Results

3.1. Study Participants

We undertook interviews with 48 participants and two focus groups (n = 11) with patients with type 2 diabetes, health professionals, and policymakers from TASH and the Ministry of Health of Ethiopia [42] comprising an overall sample of 59 participants; three co-design workshops (n = 24); and a systematic review on the effectiveness of clinical pharmacy interventions on health and economic outcome of patients with type 2 diabetes [30] to help with the intervention design.

3.2. Step One: Define the Health Problem in Behavioural Terms

Evidence from the interviews and focus groups we have undertaken, previous findings [11,12,13,60], feedback from the co-design workshops, and the context of the hospital enabled identification of the health problem. We identified that improving the effectiveness of type 2 diabetes management for patients with type 2 diabetes was the specific problem existing at the diabetes centre of TASH.

3.3. Step Two: Select the Target Behaviour

We identified through interviews, focus groups, and co-design workshops that had challenges for the effective management of type 2 diabetes related to:
  • Lack of resources, such as medications, laboratory, and diagnostic tests;
  • Lack of continuity of care, such as prolonged follow up clinic visits;
  • Lack of knowledge and awareness of patients about type 2 diabetes and its complications;
  • Lack of self-care activities;
  • Low level of type 2 diabetes education and counselling services;
  • Low competence and experience of health professionals providing diabetes care;
  • Inefficient collaboration among health professionals (nurses, physicians, and pharmacists) in the care of type 2 diabetes;
  • Absence of involvement of clinical pharmacists, dietitians or nutritionists, and psychologists in the care of type 2 diabetes.
Our findings from interviews and focus groups demonstrated that the problem of the effective management of type 2 diabetes can be addressed through multiple behaviours targeted in a complex intervention. These include: ensuring continuity of care; enabling provision of structured type 2 diabetes education and counselling by competent health professionals; providing collaborative care of type 2 diabetes, involving clinical pharmacists, dietitians or nutritionists, and psychologists in type 2 diabetes care; improving health professionals’ competency, commitment and professional ethics; and improving the referral system of patients with type 2 diabetes between TASH and other health institutions [42]. The co-design panels in workshop I and II discussed the identified list of potential target behaviours for the intervention that helped with improving the effective management of type 2 diabetes at TASH.
During the co-design workshop, the co-design panel prioritised the potential target behaviours, out of which the four potential target behaviours are listed from highest to lowest priority:
  • Provide structured diabetes education and counselling with competent health professionals;
  • Enable collaborative care of type 2 diabetes;
  • Involve clinical pharmacists, dietitians or nutritionists, and psychologists in the care of type 2 diabetes as members of the collaborative care team;
  • Improve health professionals’ competency, commitment, and professional ethics through trainings.
Similarly, the co-design panel in workshop II identified and prioritised the following potential target behaviours for intervention in descending order of priority.
  • Ensure continuous availability of medications;
  • Ensure continuous availability of laboratory and diagnostic tests;
  • Involve clinical pharmacists, dietitians or nutritionists, and psychologists in the care of type 2 diabetes as members of the collaborative care team;
  • Enable collaborative care of type 2 diabetes;
  • Integrate all type 2 diabetes care services at the diabetes centre.
Given the evidence from the interviews, focus groups, and previous findings [22,30,61], based on the context of the hospital, and the “less is more approach” of the BCW [47], it was beneficial to start the intervention with few behaviours and build upon these incrementally [47]. The panels in the co-design workshop III then identified and agreed that the effective management of type 2 diabetes at TASH may most likely be improved through the provision of structured diabetes education, counselling, and collaborative care (involving clinical pharmacists, dietitians or nutritionists, and psychologists) of type 2 diabetes. The panels agreed that these behaviours could easily be changed, measured, and be shared by other health professionals and health facilities with the available resources.
The co-design panels confirmed that there was no involvement of clinical pharmacists, dietitians or nutritionists, and psychologists in the provision of type 2 diabetes care. It was found that there was a profound deficiency of the collaborative care of type 2 diabetes at the diabetes centre of TASH. A collaboratively working care team is more likely to be responsive, efficient, and provide improved care [61]. As multiple behaviours interact and play a role in the provision of structured diabetes education and counselling and collaborative care of type 2 diabetes [62,63,64,65], the co-design panel and the research team targeted changing the behaviours of the health professionals (physicians, nurses, and pharmacists, and dietitians or nutritionists) to improve the care of type 2 diabetes at TASH.

3.4. Step Three: Specify the Target Behaviour

After the selection of the potential target behaviours for intervention, the co-design panel in workshop III specified the two target behaviours, namely to enable the provision of structured type 2 diabetes education, counselling, and collaborative care of type 2 diabetes. These details are found in the table of Supplementary Materials (Table S2).
The findings of the interviews, focus groups, and co-design panel workshops indicated the need for the involvement of physicians, nurses, clinical pharmacists, dietitians or nutritionists, psychologists, and peer diabetes educators in the provision of structured diabetes education and counselling with patients or family members (caregivers) to improve the care of type 2 diabetes at TASH. The structured diabetes education involved the education of patients with type 2 diabetes about the condition, its complications, and management and self-care activities (Table S2).
In enabling the collaborative care of type 2 diabetes, physicians, nurses, clinical pharmacists, dietitians or nutritionists, and psychologists would work in coordination with patients and their families (caregivers), administrative bodies of the hospital, and the Ministry of Health of Ethiopia. A collaborative care team would be organised at the diabetes centre of TASH. The duties and activities of each member of the diabetes care team are described in the table of Supplementary Materials (Table S2).

3.5. Step Four: Identify What Needs to Change

We used the COM-B system [47] to identify health professionals’ and policymakers’ capabilities (C), opportunities (O), and motivations (M) for providing or not providing structured diabetes education, counselling, and collaborative care of type 2 diabetes (Table S3). The research team performed behavioural diagnosis through triangulation of the findings of the interviews, focus groups, the systematic review [30]; and feedback from the co-design panels and the research team discussions. This information was used to determine what needed to change to enable health professionals to provide structured type 2 diabetes education, counselling, and collaborative care of type 2 diabetes at TASH.

3.5.1. Structured Type 2 Diabetes Education and Counselling

The provision of structured diabetes education and counselling at TASH was hampered by a lack of availability and involvement of trained and qualified multidisciplinary health professionals in diabetes education and counselling (C). Insufficient time for the consultation of patients (O) and inadequate space (O) led to a lack of physical opportunity to provide structured diabetes education and counselling about type 2 diabetes. Patient adherence to diabetes educations sessions (O) negatively affected the provision of type 2 diabetes education at TASH. A triangulation of evidence from the interviews, focus groups, systematic review [30], co-design workshops, and the research team discussions and behavioural analysis ensured that there is a need to change the psychological capability, physical and social opportunity, and reflective and automatic motivation of health professionals to achieve the provision of structured type 2 diabetes education and counselling of type 2 diabetes at TASH (Table S3).

3.5.2. Collaborative Care

Time shortages and inappropriate space (O), poor communication among health professionals (O), lack of commitment and motivation of health professionals and policymakers (M), and absence of policies and guidelines for collaboration (O) contributed to a lack of collaborative care of type 2 diabetes at TASH. We triangulated the findings from interviews, focus groups, the co-design panel workshops, and the research team discussions and performed the behavioural analysis using the COM-B [47]. We analysed that the psychological capability, physical and social opportunity, and reflective and automatic motivation of health professionals have to be changed in order to provide collaborative care of type 2 diabetes at TASH (Table S3).

3.6. Step Five: Identify Intervention Functions

Intervention functions appropriate to the context of TASH and that help to improve the management of type 2 diabetes were determined using the APEASE criteria [47] (Table S4).

3.6.1. Intervention Functions for the COM-B Components of the Target Behaviour Provision of Structured Diabetes Education and Counselling

We used the BCW [47] mapping matrix to link the identified COM-B components; namely, psychological capability, physical and social opportunity, automatic and reflective motivation for the target behaviour, and provision of structured diabetes education and counselling with intervention functions. Based on the results of the APEASE criteria [47], we identified five intervention functions (Table S4); namely, education, training, environmental restructuring, modelling, and enablement that help with the intervention to bring about change in the targeted behaviour [47].

3.6.2. Intervention Functions for the COM-B Components of The Target Behaviour in Collaborative Care of Type 2 Diabetes

We linked the COM-B components of the collaborative care of type 2 diabetes (psychological capability, physical and social opportunity, and automatic and reflective motivation) with intervention functions using the BCW [47] mapping matrix to identify intervention functions for the collaborative care of type 2 diabetes. We identified that education, incentivisation, training, environmental restructuring, modelling, and enablement were the most appropriate and pertinent intervention functions to the existing context of TASH in helping to change the target behaviour (collaborative care) (Table S4).

3.7. Step Six: Identifying Policy Categories for the Target Behaviours’ Provision of Structured Diabetes Education, Counselling, and Collaborative Care of Type 2 Diabetes

After identification of the intervention functions, we evaluated the appropriate policy categories that support the delivery of the intervention functions using the APEASE criteria [47]. Guidelines, environmental/social planning, and service provision were deemed appropriate to our context to support the intervention functions for the target behaviour provision of structured diabetes education and counselling. To support the delivery of the intervention functions for the target behaviour provision of the collaborative care of type 2 diabetes, guidelines, regulation, environmental/social planning, and service provision were the policy categories identified that were deemed appropriate to our context (Table S4).

3.8. Step Seven: Identifying Behaviour Change Techniques

Behaviour change techniques are active components of an intervention designed to change behaviour [57] that help to characterise the active components of the healthcare intervention [66]. We specified BCTs deemed to be the most effective and feasible in our context of improving the provision of structured diabetes education, counselling, and collaborative care of type 2 diabetes through the triangulation of a literature review; findings of the interviews, focus groups, and the systematic review [30]; and using the APEASE criteria [47]. We linked the intervention functions identified in step five with the most commonly used BCTs described in the Behaviour Change Technique Taxonomy version 1 (BCTTv1) [57] and identified the following 12 BCTs for the target behaviour provision of structured diabetes education and counselling (Table S5):
  • Feedback on behaviour;
  • Self-monitoring of behaviour;
  • Prompt/cues;
  • Salience of consequences;
  • Instruction on how to perform the behaviour;
  • Demonstration of the behaviour;
  • Restructuring the physical environment;
  • Restructuring the social environment;
  • Adding objects to the environment;
  • Goal setting behaviour;
  • Action planning;
  • Social support (unspecified).

3.9. Step Eight: Mode of Delivery and Development of the Complex Intervention

We operationalised the identified BCTs and identified modes of delivery for the provision of structured education and counselling with trained diabetes educators and collaborative care of type 2 diabetes and developed a complex intervention (Table S6). We created a complex intervention called VICKY (Patient-centred collaborative care and evidence-based structured diabetes education and counselling supported with educational materials) to improve the management of type 2 diabetes at TASH. Figure 4 summarises the development of the complex intervention according to the first stage of the UK MRC framework [43].
The complex intervention (VICKY) consisted of five components (Table 1).
The following 13 BCTs were linked to the intervention functions for the target behaviour in the collaborative care of type 2 diabetes (Table S5).
  • Self-monitoring of behaviour;
  • Prompt/cues;
  • Feedback on behaviour;
  • Instruction on how to perform the behaviour;
  • Restructuring the physical environment;
  • Restructuring the social environment;
  • Adding objects to the environment;
  • Demonstration of the behaviour;
  • Goal setting behaviour;
  • Action planning;
  • Social support (unspecified);
  • Social support (practical);
  • Problem solving.
We used the logic model (Figure 5) to link the context of the healthcare system, such as study setting, the resources, intervention activities, theory, and assumptions underlying the intervention, and the intervention plan, in a logical order [67,68].

4. Discussion

This paper describes a systematic development of a tailored complex intervention to improve the effectiveness of the management of type 2 diabetes in a tertiary care setting of a developing country. To our knowledge, the complex intervention is the first theory-driven and context-specific intervention designed using the first stage of the UK MRC framework and the BCW and co-design approaches for the management of type 2 diabetes in Ethiopia.
Our intervention addresses an organisational level intervention that involves multiple stakeholders and multifaceted approaches, such as the training of health professionals, provision of educational materials, collaborative care, and patient involvement in the care process. Multifaceted approaches have been demonstrated to be successful in improving healthcare in resource-limited settings, including SSA [69,70,71,72]. Moreover, multi-level involvement comprising patient and healthcare provider-targeted interventions are likely to be successful in improving healthcare [73,74,75].
Implementation science offers opportunities to design novel healthcare approaches to ensure the utilisation of resources for evidence-based healthcare delivery in developing countries, including SSA [76,77]. Efforts have also been undertaken to enhance the use of implementation science in SSA [76,78,79] in view of the feasibility and effectiveness of implementation science in the healthcare intervention in this setting [70,76,80]. The resources available for healthcare in SSA are limited, which therefore requires the design, testing, and implementation of novel approaches for healthcare [81,82]. In this study, a novel approach for diabetes care that is based on the context of the available resources of a tertiary care setting in a developing country [22,31,32,41,83,84,85], has been designed. The intervention developed in this study may be of value in improving the quality and outcomes of diabetes care at the study setting and to tailor similar diabetes care strategies in other healthcare settings in the country [84,86]. The evidence also indicated that healthcare implementation strategies in low-income countries, such as SSA, would be feasible, sustainable, and of interest to policymakers if they are designed based on the contexts of the settings in these countries [71,76,80].
The MRC framework [43] guided the identification of an evidence base, development of theory, and modelling processes and outcomes. The BCW [47] was used to develop a theory-driven intervention, identify intervention strategies, and create elements of the complex intervention tailored to the context of the setting. We used the BCW, as it is a comprehensive framework that considers the context in intervention design [47]. Theory-driven interventions designed for patients with diabetes have been demonstrated to improve care delivery and patient outcomes [44]. Complex interventions are likely to work best if tailored to local contexts [43]. A systematic review of behavioural interventions to improve glycemic control in patients with diabetes indicated that tailored behavioural interventions improved glycemic control of patients with type 2 diabetes [87].
There have been tailored complex interventions [44,48] designed using the UK MRC [43] framework and the BCW [47] for diabetes care in developed countries. Previously developed interventions [44,48] lacked the triangulation of multiple data sources, such as interviews, focus groups, and a co-design approach in their intervention design. The distinguishing feature of our intervention design is the use of multifaceted data sources, such as consumers, health professionals of various disciplines and key policymakers, a literature review, and systematic review [30], and extensive feedback from the co-design panels comprising individuals of diverse backgrounds in contextualising the intervention. Our intervention addresses a tailored and evidence-based strategy in diabetes care delivery in a resource-limited setting.
We designed an organisational level intervention to improve the effectiveness of type 2 diabetes management. There is a broad range of evidence internationally in support of organisational interventions to improve the care of type 2 diabetes and patient outcomes [54,55,56]. Similarly, health system interventions that involved patient-centred collaborative care with multiple health professionals and diabetes education have shown effectiveness in improving the glycemic control of patients with type 2 diabetes in both developing and developed countries [56,88,89]. As multiple behaviours interact and play a role in the provision of structured diabetes education, counselling, and collaborative care of type 2 diabetes [75,76,77,78], the intervention was targeted at changing the health professionals’ behaviour involved in diabetes care delivery. Similar interventions that targeted changing health professional behaviour were found to be effective in improving diabetes care and patient outcomes [44,48,90,91,92]. In a systematic review of behaviour change interventions, such as education, training, collaborative care including physicians, nurses, and pharmacists, audit and feedback targeted at health professionals were effective in improving healthcare delivery and patient outcomes [93]. Successful management and the improved outcome of diabetes requires interaction and implementation of multiple behaviours of different health professionals, such as motivation and commitment, diabetes management knowledge and skills, interprofessional or intraprofessional communications, and compassion [62,63,64,65,91,94]. As a result, modifying multiple behaviours of professionals of various disciplines helps to improve the management of diabetes and patient outcomes [62,63,64,65,94].
Diabetes care models of developed countries are evidence-based, patient-centred, team-based, and guided by contextually tailored diabetes management guidelines and educational materials, where diabetes education by trained diabetes educators are essential elements of care [95,96,97]. Studies demonstrated a lack of collaborative care of diabetes, diabetes training of health professionals, diabetes guidelines, and diabetes education in SSA [8,9,10,98], including in Ethiopia [22]. This situation is partly attributed to the lack of facility-specific evidence about contextual factors, such as the socio-economic factors of diabetes care in SSA and the failure to tailor the diabetes care approach to the context of the SSA setting [10,42]. Therefore, it is essential to understand the specific context of a SSA diabetes care setting and design an evidence-based diabetes care strategy tailored to the context of this setting [9,99].
Our proposed intervention involves the collaborative care of diabetes, diabetes training of health professionals, and diabetes education by a trained team of health professionals. Evidence also indicates that the diabetes care team needs to incorporate a multidisciplinary group involving physicians, nurses, clinical pharmacists, dietitians or nutritionists, and psychologists [62,63,64,65]. Expanding diabetes management to several healthcare team disciplines helps patients receive the most optimal and cost-effective diabetes care and achieve better treatment outcomes [65,100,101]. Structured diabetes education is also a key component of the intervention in this study, which has been previously demonstrated to improve diabetes care delivery and treatment outcomes [30,102,103,104,105]. The evidence also indicates that multicomponent educational interventions significantly improved the glycemic control of patients with type 2 diabetes [106]. In general, our intervention, which focuses on collaborative care and structured diabetes education, will fill the gaps identified in diabetes management in SSA in general, and Ethiopia in particular [8,9,10,22,98].
This study has some limitations. We did not include the views of nutritionists or dietitians, psychologists, and laboratory personnel in the intervention design. The intervention was designed at a single healthcare setting, requiring feasibility and piloting prior to evaluation and implementation. Nevertheless, the information obtained can be transferred to other similar settings.

5. Conclusions

This paper indicated the usability and applicability of the UK MRC framework and the BCW to designing tailored and evidence-informed behaviour change interventions in SSA. We developed the UK MRC-guided intervention called patient-centred collaborative care and structured diabetes education and counselling (VICKY) using the BCW. VICKY, which is a tailored intervention to the context of a tertiary care setting of a developing country, is a complex intervention for diabetes management to be tested for feasibility and effectiveness in later phases of this project. This intervention will help to manage diabetes effectively by addressing the current practice gap existing at the hospital, and the country in general. VICKY is a comprehensive diabetes care model co-designed by key stakeholders involving consumers, healthcare providers of various disciplines, and policymakers using multiple evidence sources. This model, if found effective, may serve as a springboard to design similar tailored interventions for other non-communicable diseases in the country.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/jcm11051149/s1, Table S1: Revised Standards for Quality Improvement Reporting Excellence: (SQUIRE 2.0) publication guidelines, Table S2: Behavioral specification to improve the management of type 2 diabetes at the diabetes centre of a tertiary teaching hospital, Table S3: COM-B diagnosis using the Behaviour Change Wheel for the identified target behaviours, Table S4: Linking intervention functions to COM-B components using the Behaviour Change Wheel linking Matrix, Table S5: COM-B diagnosis, intervention functions, policy categories, and behaviour change techniques for the identified target behaviours for intervention, and Table S6: Mode of delivery structured diabetes education.

Author Contributions

Conceptualisation, T.A.D., K.M.N. and E.M.; methodology, T.A.D.; software, T.A.D.; validation, T.A.D., K.M.N. and E.M.; formal analysis, T.A.D.; investigation, T.A.D., K.M.N. and E.M.; resources, T.A.D.; data curation, T.A.D.; writing—original draft preparation, T.A.D.; writing—review and editing, T.A.D., K.M.N., H.Y. and E.M. visualisation, T.A.D.; supervision, T.A.D., K.M.N., H.Y. and E.M.; project administration, T.A.D., K.M.N., H.Y. and E.M. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

The study was conducted according to the guidelines of the Declaration of Helsinki and approved by the ethics committee (the Institutional Review Board) of Deakin University Human Ethics Advisory Group (HEAG-H 102_2019) and the Institutional Review Board of Addis Ababa University (092/19/SoP).

Informed Consent Statement

Written informed consent was obtained from all participants involved in the study.

Data Availability Statement

The data presented in this study are available on request from the corresponding author.

Acknowledgments

We would like to thank the patients, health professionals, and policymakers for participating in the co-design workshops, providing valuable feedback throughout the intervention design, and co-designing the intervention. We also thank the patients, health professionals, and policymakers for volunteering to undertake interviews and focus groups that helped with generating evidence for the intervention design.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Hu, F.B. Globalisation of diabetes: The role of diet, lifestyle, and genes. Diabetes Care 2011, 34, 1249–1257. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  2. Bloomgarden, Z.T. Cardiovascular disease in diabetes. Diabetes Care 2008, 31, 1260–1266. [Google Scholar] [CrossRef] [Green Version]
  3. International Diabetes Federation. International Diabetes Federation Diabetes Atlas, 8th ed.; International Diabetes Federation: Brussels, Belgium, 2017. [Google Scholar]
  4. International Diabetes Federation. IDF Diabetes Atlas, 9th ed.; International Diabetes Federation: Brussels, Belgium, 2019. [Google Scholar]
  5. Kim, S. Burden of shospitalisations primarily due to uncontrolled diabetes: Implications of inadequate primary health care in the United States. Diabetes Care 2007, 30, 1281–1282. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  6. Cramer, J.A.; Benedict, Á.; Muszbek, N.; Keskinaslan, A.; Khan, Z.M. The significance of compliance and persistence in the treatment of diabetes, hypertension and dyslipidaemia: A review. Int. J. Clin. Pr. 2007, 62, 76–87. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  7. Inzucchi, S.E.; Bergenstal, R.M.; Buse, J.; Diamant, M.; Ferrannini, E.; Nauck, M.; Peters, A.; Tsapas, A.; Wender, R.; Matthews, D.R. Management of hyperglycaemia in type 2 diabetes: A patient-centered approach. Position statement of the American Diabetes Association (ADA) and the European Association for the Study of Diabetes (EASD). Diabetologia 2012, 55, 1577–1596. [Google Scholar] [CrossRef]
  8. Azevedo, M.; Alla, S. Diabetes in Sub-Saharan Africa: Kenya, Mali, Mozambique, Nigeria, South Africa and Zambia. Int. J. Diabetes Dev. Ctries. 2008, 28, 101–108. [Google Scholar] [CrossRef] [Green Version]
  9. Gill, G.V.; Mbanya, J.-C.; Ramaiya, K.L.; Tesfaye, S. A sub-Saharan African perspective of diabetes. Diabetologia 2009, 52, 8–16. [Google Scholar] [CrossRef] [Green Version]
  10. Pastakia, S.D.; Pekny, C.R.; Manyara, S.M.; Fischer, L. Diabetes in sub-Saharan Africa—From policy to practice to progress: Targeting the existing gaps for future care for diabetes. Diabetes Metab. Syndr. Obes. 2017, 10, 247–263. [Google Scholar] [CrossRef] [Green Version]
  11. Shimels, T.; Abebaw, M.; Bilal, A.I.; Tesfaye, T. Treatment Pattern and Factors Associated with Blood Pressure and Fasting Plasma Glucose Control among Patients with Type 2 Diabetes Mellitus in Police Referral Hospital in Ethiopia. Ethiop. J. Health Sci. 2018, 28, 461–472. [Google Scholar] [CrossRef]
  12. Gudina, E.K.; Amade, S.T.; Tesfamichael, F.A.; Ram, R. Assessment of quality of care given to diabetic patients at Jimma University Specialized Hospital diabetes follow-up clinic, Jimma, Ethiopia. BMC Endocr. Disord. 2011, 11, 19. [Google Scholar] [CrossRef] [Green Version]
  13. Yigazu, D.M.; Desse, T.A. Glycemic control and associated factors among type 2 diabetic patients at Shanan Gibe Hospital, Southwest Ethiopia. BMC Res. Notes 2017, 10, 597. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  14. Atun, R.; Davies, J.I.; Gale, E.A.M.; Bärnighausen, T.; Beran, D.; Kengne, A.P.; Levitt, N.; Mangugu, F.W.; Nyirenda, M.J.; Ogle, G.D.; et al. Diabetes in sub-Saharan Africa: From clinical care to health policy. Lancet Diabetes Endocrinol. 2017, 5, 622–667. [Google Scholar] [CrossRef] [Green Version]
  15. Mobula, L.M.; Sarfo, F.S.; Carson, K.A.; Burnham, G.; Arthur, L.; Ansong, D.; Sarfo-Kantanka, O.; Plange-Rhule, J.; Ofori-Adjei, D. Predictors of glycemic control in type-2 diabetes mellitus: Evidence from a multicenter study in Ghana. Transl. Metab. Syndr. Res. 2018, 1, 1–8. [Google Scholar] [CrossRef]
  16. Nuche-Berenguer, B.; Kupfer, L.E. Readiness of Sub-Saharan Africa Healthcare Systems for the New Pandemic, Diabetes: A Systematic Review. J. Diabetes Res. 2018, 2018, 9262395. [Google Scholar] [CrossRef] [Green Version]
  17. Bhagavathula, A.S.; Gebreyohannes, E.A.; Abegaz, T.M.; Abebe, T.B. Perceived Obstacles Faced by Diabetes Patients Attending University of Gondar Hospital, Northwest Ethiopia. Front. Public Health 2018, 6, 81. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  18. Nigatu, T. Epidemiology, complications and management of diabetes in Ethiopia: A systematic review. J. Diabetes 2012, 4, 174–180. [Google Scholar] [CrossRef]
  19. Yimama, M.; Jarso, H.; Desse, T.A. Determinants of drug-related problems among ambulatory type 2 diabetes patients with hypertension comorbidity in Southwest Ethiopia: A prospective cross sectional study. BMC Res. Notes 2018, 11, 679. [Google Scholar] [CrossRef]
  20. Kiflie, Y.; Jira, C.; Nigussie, D. The quality of care provided to patients with chronic non-communicable diseases: A Retrospective multi-set up study in Jimma Zone, southwest Ethiopia. Ethiop. J. Health Sci. 2011, 21, 119–130. [Google Scholar] [CrossRef]
  21. Bekele, A.; Getachew, T.; Amenu, K.; Defar, A.; Teklie, H.; Gelibo, T.; Taddesse, M.; Assefa, Y.; Kebede, A.; Feleke, Y. Service availability and readiness for diabetes care at health facilities in Ethiopia. Ethiop. J. Health Dev. 2017, 31, 110–118. [Google Scholar]
  22. Habte, B.M.; Kebede, T.; Fenta, T.G.; Boon, H. Ethiopian patients’ perceptions of anti-diabetic medications: Implications for diabetes education. J. Pharm. Policy Pr. 2017, 10, 14. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  23. Ali, M.; Alemu, T.; Sada, O. Medication adherence and its associated factors among diabetic patients at Zewditu Memorial Hospital, Addis Ababa, Ethiopia. BMC Res. Notes 2017, 10, 676. [Google Scholar] [CrossRef]
  24. Esterson, Y.B.; Carey, M.; Piette, J.D.; Thomas, N.; Hawkins, M. A Systematic Review of Innovative Diabetes Care Models in Low-and Middle-Income Countries (LMICs). J. Health Care Poor Underserved 2014, 25, 72–93. [Google Scholar] [CrossRef] [PubMed]
  25. Glazier, R.H.; Bajcar, J.; Kennie, N.R.; Willson, K. A Systematic Review of Interventions to Improve Diabetes Care in Socially Disadvantaged Populations. Diabetes Care 2006, 29, 1675–1688. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  26. Pinchevsky, Y.; Butkow, N.; Chirwa, T.; Raal, F. Treatment Gaps Found in the Management of Type 2 Diabetes at a Community Health Centre in Johannesburg, South Africa. J. Diabetes Res. 2017, 2017, 9536025. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  27. Atlantis, E.; Fahey, P.; Foster, J. Collaborative care for comorbid depression and diabetes: A systematic review and meta-analysis. BMJ Open 2014, 4, e004706. [Google Scholar] [CrossRef] [Green Version]
  28. Powers, M.A.; Bardsley, J.K.; Cypress, M.; Funnell, M.M.; Harms, D.; Hess-Fischl, A.; Hooks, B.; Isaacs, D.; Mandel, E.D.; Maryniuk, M.D.; et al. Diabetes Self-management Education and Support in Adults with Type 2 Diabetes: A Consensus Report of the American Diabetes Association, the Association of Diabetes Care and Education Specialists, the Academy of Nutrition and Dietetics, the American Academy of Family Physicians, the American Academy of PAs, the American Association of Nurse Practitioners, and the American Pharmacists Association. J. Am. Assoc. Nurse Pr. 2020, 43, 1636–1649. [Google Scholar]
  29. Beck, J.; Greenwood, D.A.; Blanton, L.; Bollinger, S.T.; Butcher, M.K.; Condon, J.E.; Cypress, M.; Faulkner, P.; Fischl, A.H.; Francis, T.; et al. 2017 National Standards for Diabetes Self-Management Education and Support. Diabetes Care 2017, 40, 1409–1419. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  30. Desse, T.A.; Vakil, K.; Mc Namara, K.; Manias, E. Impact of clinical pharmacy interventions on health and economic outcomes in type 2 diabetes: A systematic review and meta-analysis. Diabet. Med. 2021, 38, e14526. [Google Scholar] [CrossRef]
  31. Habte, B.M.; Kebede, T.; Fenta, T.G.; Boon, H. Barriers and facilitators to adherence to anti-diabetic medications: Ethiopian patients’ perspectives. Afr. J. Prim. Health Care Fam. Med. 2017, 9, 9. [Google Scholar] [CrossRef]
  32. Ethiopian Public Health Institute. Services Availability and Readiness Assessment (SARA); Ethiopian Public Health Institute: Addis Ababa, Ethiopia, 2018. [Google Scholar]
  33. Cheneke, W.; Suleman, S.; Yemane, T.; Abebe, G. Assessment of glycemic control using glycated hemoglobin among diabetic patients in Jimma University sspecialised hospital, Ethiopia. BMC Res. Notes 2016, 9, 96. [Google Scholar] [CrossRef] [Green Version]
  34. Abebe, N.; Kebede, T.; Addise, D. Diabetes in Ethiopia 2000–2016—Prevalence and related acute and chronic complications; a systematic review. Afr. J. Diabetes Med. 2017, 25, 7–12. [Google Scholar]
  35. Fiseha, T.; Alemayehu, E.; Kassahun, W.; Adamu, A.; Gebreweld, A. Factors associated with glycemic control among diabetic adult out-patients in Northeast Ethiopia. BMC Res. Notes 2018, 11, 316. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  36. Tekalegn, Y.; Addissie, A.; Kebede, T.; Ayele, W. Magnitude of glycemic control and its associated factors among patients with type 2 diabetes at Tikur Anbessa Specialized Hospital, Addis Ababa, Ethiopia. PLoS ONE 2018, 13, e0193442. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  37. Desse, T.A.; Eshetie, T.C.; Gudina, E.K. Predictors and treatment outcome of hyperglycemic emergencies at Jimma University Specialized Hospital, southwest Ethiopia. BMC Res. Notes 2015, 8, 553. [Google Scholar] [CrossRef] [Green Version]
  38. Reba, K.; Argaw, Z.; Walle, B.; Gutema, H. Health-related quality of life of patients with diagnosed type 2 diabetes in Felege Hiwot Referral Hospital, North West Ethiopia: A cross-sectional study. BMC Res. Notes 2018, 11, 544. [Google Scholar] [CrossRef]
  39. Zimmermann, M.; Bunn, C.; Namadingo, H.; Gray, C.M.; Lwanda, J. Experiences of type 2 diabetes in sub-Saharan Africa: A scoping review. Glob. Health Res. Policy 2018, 3, 25. [Google Scholar] [CrossRef] [Green Version]
  40. Godman, B.; Basu, D.; Pillay, Y.; Mwita, J.C.; Rwegerera, G.M.; Paramadhas, B.D.A.; Tiroyakgosi, C.; Okwen, P.M.; Niba, L.L.; Nonvignon, J.; et al. Review of Ongoing Activities and Challenges to Improve the Care of Patients With Type 2 Diabetes Across Africa and the Implications for the Future. Front. Pharmacol. 2020, 11, 108. [Google Scholar] [CrossRef]
  41. Yifter, H.; Reja, A.; Ahmed, A.; Narayan, K.M.V.; Amogne, W. Achievement of diabetes care goals at Tikur Anbessa Specialized Hospital, Addis Ababa, Ethiopia. Ethiop. Med. J. 2020, 58, 125–130. [Google Scholar]
  42. Desse, T.A.; Namara, K.M.; Yifter, H.; Manias, E. Current practices and future preferences of type 2 diabetes care in a developing country: A qualitative study of patient, health professional, and policymaker perspectives. 2021. [Google Scholar]
  43. Craig, P.; Dieppe, P.; Macintyre, S.; Michie, S.; Nazareth, I.; Petticrew, M. Developing and evaluating complex interventions: An introduction to the new Medical Research Council guidance. Evid.-Based Public Health 2009, 337, a1655. [Google Scholar] [CrossRef]
  44. Murphy, M.E.; Byrne, M.; Zarabzadeh, A.; Corrigan, D.; Fahey, T.; Smith, S.M. Development of a complex intervention to promote appropriate prescribing and medication intensification in poorly controlled type 2 diabetes mellitus in Irish general practice. Implement. Sci. 2017, 12, 115. [Google Scholar] [CrossRef] [Green Version]
  45. Francis, J.J.; Eccles, M.P.; Johnston, M.; Whitty, P.; Grimshaw, J.M.; Kaner, E.F.; Smith, L.; Walker, A. Explaining the effects of an intervention designed to promote evidence-based diabetes care: A theory-based process evaluation of a pragmatic cluster randomised controlled trial. Implement. Sci. 2008, 3, 50. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  46. Michie, S.; Van Stralen, M.M.; West, R. The behaviour change wheel: A new method for characterising and designing behaviour change interventions. Implement. Sci. 2011, 6, 42. [Google Scholar] [CrossRef] [Green Version]
  47. Michie, S.; Atkins, L.; West, R. The Behaviour Change Wheel. A Guide to Designing Interventions; Silverback Publishing: Sutton, UK, 2014. [Google Scholar]
  48. Sinnott, C.; Mercer, S.W.; Payne, R.A.; Duerden, M.; Bradley, C.P.; Byrne, M. Improving medication management in multimorbidity: Development of the MultimorbiditY COllaborative Medication Review And DEcision Making (MY COMRADE) intervention using the Behaviour Change Wheel. Implement. Sci. 2015, 10, 132. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  49. Smits, S.; McCutchan, G.; Wood, F.; Edwards, A.; Lewis, I.; Robling, M.; Paranjothy, S.; Carter, B.; Townson, J.; Brain, K. Development of a Behavior Change Intervention to Encourage Timely Cancer Symptom Presentation Among People Living in Deprived Communities Using the Behavior Change Wheel. Ann. Behav. Med. 2018, 52, 474–488. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  50. Sargent, L.; McCullough, A.; Del Mar, C.; Lowe, J. Using theory to explore facilitators and barriers to delayed prescribing in Australia: A qualitative study using the Theoretical Domains Framework and the Behaviour Change Wheel. BMC Fam. Pr. 2017, 18, 20. [Google Scholar] [CrossRef] [PubMed]
  51. Mangurian, C.; Niu, G.C.; Schillinger, D.; Newcomer, J.W.; Dilley, J.; Handley, M.A. Utilisation of the Behavior Change Wheel framework to develop a model to improve cardiometabolic screening for people with severe mental illness. Implement. Sci. 2017, 12, 134. [Google Scholar] [CrossRef] [Green Version]
  52. Steinmo, S.; Fuller, C.C.; Stone, S.P.; Michie, S. Characterising an implementation intervention in terms of behaviour change techniques and theory: The ‘Sepsis Six’ clinical care bundle. Implement. Sci. 2015, 10, 111. [Google Scholar] [CrossRef] [Green Version]
  53. Jackson, C.; Eliasson, L.; Barber, N.; Weinman, J. Applying COM-B to medication adherence: A suggested framework for research and interventions. Eur. Health Psychol. 2014, 16, 7–17. [Google Scholar]
  54. Leykum, L.K.; Pugh, J.; Lawrence, V.; Parchman, M.; Noël, P.H.; Cornell, J.; McDaniel, R.R. Organisational interventions employing principles of complexity science have improved outcomes for patients with Type II diabetes. Implement. Sci. 2007, 2, 8. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  55. Murphy, M.E.; Byrne, M.; Galvin, R.; Boland, F.; Fahey, T.; Smith, S. Improving risk factor management for patients with poorly controlled type 2 diabetes: A systematic review of healthcare interventions in primary care and community settings. BMJ Open 2017, 7, e015135. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  56. Renders, C.M.; Valk, G.D.; Griffin, S.J.; Wagner, E.H.; Eijk van, J.T.; Assendelft, W.J. Interventions to Improve the Management of Diabetes in Primary Care, Outpatient, and Community Settings. Diabetes Care 2001, 24, 1821–1833. [Google Scholar] [CrossRef] [Green Version]
  57. Michie, S.; Richardson, M.; Johnston, M.; Abraham, C.; Francis, J.; Hardeman, W.; Eccles, M.P.; Cane, J.; Wood, C.E. The Behavior Change Technique Taxonomy (v1) of 93 Hierarchically Clustered Techniques: Building an International Consensus for the Reporting of Behavior Change Interventions. Ann. Behav. Med. 2013, 46, 81–95. [Google Scholar] [CrossRef]
  58. Rowlands, G.; Sims, J.; Kerry, S. A lesson learnt: The importance of modelling in srandomised controlled trials for complex interventions in primary care. Fam. Pract. 2005, 22, 132–139. [Google Scholar] [CrossRef] [Green Version]
  59. Ogrinc, G.; Davies, L.; Goodman, D.; Batalden, P.; Davidoff, F.; Stevens, D. SQUIRE 2.0 (Standards for QUality Improvement Reporting Excellence): Revised publication guidelines from a detailed consensus process. BMJ Qual. Saf. 2016, 25, 986. [Google Scholar] [CrossRef] [Green Version]
  60. Yimam, M.; Desse, T.A.; Hebo, H.J. Glycemic control among ambulatory type 2 diabetes patients with hypertension Co-morbidity in a developing country: A cross sectional study. Heliyon 2020, 6, e05671. [Google Scholar] [CrossRef] [PubMed]
  61. Schmitt, M.; Blue, A.; Aschenbrener, C.A.; Viggiano, T.R. Core competencies for interprofessional collaborative practice: Reforming health care by transforming health professionals’ education. Acad. Med. 2011, 86, 1351. [Google Scholar] [CrossRef] [PubMed]
  62. Gucciardi, E.; Espin, S.; Morganti, A.; Dorado, L. Exploring interprofessional collaboration during the integration of diabetes teams into primary care. BMC Fam. Pr. 2016, 17, 12. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  63. Erturkmen, G.B.; Yuksel, M.; Sarigul, B.; Arvanitis, T.N.; Lindman, P.; Chen, R.; Zhao, L.; Sadou, E.; Bouaud, J.; Traore, L.; et al. A Collaborative Platform for Management of Chronic Diseases via Guideline-Driven Individualized Care Plans. Comput. Struct. Biotechnol. J. 2019, 17, 869–885. [Google Scholar] [CrossRef]
  64. Phelps, K.W.; Howell, C.D.; Hill, S.G.; Seemann, T.S.; Lamson, A.L.; Hodgson, J.L.; Smith, D.A. A collaborative care model for patients with Type-2 diabetes. Fam. Syst. Health 2009, 27, 131–140. [Google Scholar] [CrossRef]
  65. Johnson, J.; Carragher, R. Interprofessional collaboration and the care and management of type 2 diabetic patients in the Middle East: A systematic review. J. Interprof. Care 2018, 32, 621–628. [Google Scholar] [CrossRef]
  66. Presseau, J.; Ivers, N.M.; Newham, J.J.; Knittle, K.; Danko, K.J.; Grimshaw, J.M. Using a behaviour change techniques taxonomy to identify active ingredients within trials of implementation interventions for diabetes care. Implement. Sci. 2015, 10, 55. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  67. Bartholomew, L.K.; Mullen, P.D. Five roles for using theory and evidence in the design and testing of behavior change interventions. J. Public Health Dent. 2011, 71, S20–S33. [Google Scholar] [CrossRef]
  68. Michie, S.; Johnston, M.; Francis, J.; Hardeman, W.; Eccles, M. From Theory to Intervention: Mapping Theoretically Derived Behavioural Determinants to Behaviour Change Techniques. Appl. Psychol. 2008, 57, 660–680. [Google Scholar] [CrossRef]
  69. Whitford, D.L.; Roberts, S.H.; Griffin, S. Sustainability and effectiveness of comprehensive diabetes care to a district population. Diabet. Med. 2004, 21, 1221–1228. [Google Scholar] [CrossRef] [PubMed]
  70. Barrera-Cancedda, A.E.; Riman, K.A.; Shinnick, J.E.; Buttenheim, A.M. Implementation strategies for infection prevention and control promotion for nurses in Sub-Saharan Africa: A systematic review. Implement. Sci. 2019, 14, 111. [Google Scholar] [CrossRef] [Green Version]
  71. Opiyo, N.; Ciapponi, A.; Dudley, L.; Gagnon, M.-P.; Herrera, C.; Lewin, S.; Martí, S.G.; Oxman, A.D.; Paulsen, E.; Penaloza, B.; et al. Implementation strategies for health systems in low-income countries: An overview of systematic reviews. Cochrane Database Syst. Rev. 2014, 9, CD011086. [Google Scholar] [CrossRef] [Green Version]
  72. Johnson, L.G.; Armstrong, A.; Joyce, C.M.; Teitelman, A.M.; Buttenheim, A.M. Implementation strategies to improve cervical cancer prevention in sub-Saharan Africa: A systematic review. Implement. Sci. 2018, 13, 28. [Google Scholar] [CrossRef] [Green Version]
  73. Elwyn, G.; Scholl, I.; Tietbohl, C.; Mann, M.; Edwards, A.G.K.; Clay, C.; Légaré, F.; Van Der Weijden, T.; Lewis, C.L.; Wexler, R.M.; et al. “Many miles to go …”: A systematic review of the implementation of patient decision support interventions into routine clinical practice. BMC Med. Inform. Decis. Mak. 2013, 13, S14. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  74. Scholl, I.; LaRussa, A.; Hahlweg, P.; Kobrin, S.; Elwyn, G. Organizational- and system-level characteristics that influence implementation of shared decision-making and strategies to address them—A scoping review. Implement. Sci. 2018, 13, 40. [Google Scholar] [CrossRef] [Green Version]
  75. Joseph-Williams, N.; Lloyd, A.; Edwards, A.; Stobbart, L.; Tomson, D.; Macphail, S.; Dodd, C.; Brain, K.; Elwyn, G.; Thomson, R. Implementing shared decision making in the NHS: Lessons from the MAGIC programme. BMJ 2017, 357, j1744. [Google Scholar] [CrossRef] [Green Version]
  76. Yapa, H.M.; Bärnighausen, T. Implementation science in resource-poor countries and communities. Implement. Sci. 2018, 13, 154. [Google Scholar] [CrossRef] [PubMed]
  77. Eccles, M.P.; Mittman, B.S. Welcome to Implementation Science. Implement. Sci. 2006, 1, 13. [Google Scholar] [CrossRef] [Green Version]
  78. Kalbarczyk, A.; Davis, W.; Kalibala, S.; Geibel, S.; Yansaneh, A.; Martin, N.A.; Weiss, E.; Kerrigan, D.; Manabe, Y.C. Research Capacity Strengthening in Sub-Saharan Africa: Recognising the Importance of Local Partnerships in Designing and Disseminating HIV Implementation Science to Reach the 90-90-90 Goals. AIDS Behav. 2019, 23 (Suppl. 2), 206–213. [Google Scholar] [CrossRef] [Green Version]
  79. Osanjo, G.O.; Oyugi, J.O.; Kibwage, I.O.; Mwanda, W.O.; Ngugi, E.N.; Otieno, F.C.; Ndege, W.; Child, M.; Farquhar, C.; Penner, J.; et al. Building capacity in implementation science research training at the University of Nairobi. Implement. Sci. 2015, 11, 30. [Google Scholar] [CrossRef] [Green Version]
  80. Iwelunmor, J.; Blackstone, S.; Veira, D.; Nwaozuru, U.; Airhihenbuwa, C.; Munodawafa, D.; Kalipeni, E.; Jutal, A.; Shelley, D.; Ogedegebe, G. Toward the sustainability of health interventions implemented in sub-Saharan Africa: A systematic review and conceptual framework. Implement. Sci. 2015, 11, 43. [Google Scholar] [CrossRef] [Green Version]
  81. World Bank Group. Africa’s Pulse, No. 16; World Bank: Washington, DC, USA, 2017. [Google Scholar]
  82. WHO. The Abuja Declaration: Ten Years On; WHO: Geneva, Switzerland, 2011.
  83. The Federal Democratic Republic of Ethiopia Ministry of Health. Health Sector Transformation Plan: 2015/16–2019/20; The Federal Democratic Republic of Ethiopia Ministry of Health: Addis Ababa, Ethiopia, 2015.
  84. Ministry of Health of Ethiopia. Ethiopian National Health Care Quality Strategy: 2016–2020; Ministry of Health of Ethiopia: Addis Ababa, Ethiopia, 2016.
  85. Ministry of Health of Ethiopia. Essential Health Services Package of Ethiopia; Ministry of Health of Ethiopia: Addis Ababa, Ethiopia, 2019.
  86. Manyazewal, T.; Matlakala, M. Implementing health care reform: Implications for performance of public hospitals in central Ethiopia. J. Glob. Health 2018, 8, 010403. [Google Scholar] [CrossRef]
  87. Walker, R.J.; Smalls, B.L.; Bonilha, H.S.; Campbell, J.A.; Egede, L.E. Behavioral interventions to improve glycemic control in African Americans with type 2 diabetes: A systematic review. Ethn. Dis. 2013, 23, 401–408. [Google Scholar]
  88. Flood, D.; Hane, J.; Dunn, M.; Brown, S.J.; Wagenaar, B.H.; Rogers, E.A.; Heisler, M.; Rohloff, P.; Chopra, V. Health system interventions for adults with type 2 diabetes in low- and middle-income countries: A systematic review and meta-analysis. PLoS Med. 2020, 17, e1003434. [Google Scholar] [CrossRef] [PubMed]
  89. Tricco, A.C.; Ivers, N.M.; Grimshaw, J.; Moher, D.; Turner, L.; Galipeau, J.; Halperin, I.; Vachon, B.; Ramsay, T.; Manns, B.; et al. Effectiveness of quality improvement strategies on the management of diabetes: A systematic review and meta-analysis. Lancet 2012, 379, 2252–2261. [Google Scholar] [CrossRef]
  90. Murphy, A.L.; Gardner, D.M.; Kutcher, S.P.; Martin-Misener, R. A theory-informed approach to mental health care capacity building for pharmacists. Int. J. Ment. Health Syst. 2014, 8, 46. [Google Scholar] [CrossRef] [Green Version]
  91. Hood, K.K.; Hilliard, M.; Piatt, G.A.; Ievers-Landis, C.E. Effective strategies for encouraging behavior change in people with diabetes. Diabetes Manag. 2015, 5, 499–510. [Google Scholar] [CrossRef]
  92. Cadogan, C.A.; Ryan, C.; Francis, J.J.; Gormley, G.J.; Passmore, P.; Kerse, N.; Hughes, C.M. Improving appropriate polypharmacy for older people in primary care: Selecting components of an evidence-based intervention to target prescribing and dispensing. Implement. Sci. 2015, 10, 161. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  93. Chauhan, B.F.; Jeyaraman, M.; Mann, A.S.; Lys, J.; Skidmore, B.; Sibley, K.M.; Abou-Setta, A.M.; Zarychanksi, R. Behavior change interventions and policies influencing primary healthcare professionals’ practice—An overview of reviews. Implement. Sci. 2017, 12, 3. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  94. Nielsen, K.; Abildgaard, J.S. Organisational interventions: A research-based framework for the evaluation of both process and effects. Work Stress 2013, 27, 278–297. [Google Scholar] [CrossRef]
  95. Clement, M.; Filteau, P.; Harvey, B.; Jin, S.; Laubscher, T.; Mukerji, G.; Sherifali, D. Organization of Diabetes Care. Can. J. Diabetes 2018, 42, S27–S35. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  96. American Association of Diabetes Educators. An Effective Model of Diabetes Care and Education: Revising the AADE7 Self-Care Behaviors®. Diabetes Educ. 2020, 46, 139–160. [Google Scholar] [CrossRef] [PubMed]
  97. Jones, A.; Bardram, J.E.; Bækgaard, P.; Cramer-Petersen, C.L.; Skinner, T.; Vrangbæk, K.; Starr, L.; Nørgaard, K.; Lind, N.; Christensen, M.B.; et al. Integrated spersonalised diabetes management goes Europe: A multi-disciplinary approach to innovating type 2 diabetes care in Europe. Prim. Care Diabetes 2021, 15, 360–364. [Google Scholar] [CrossRef]
  98. Mercer, T.; Chang, A.C.; Fischer, L.; Gardner, A.; Kerubo, I.; Tran, D.N.; Laktabai, J.; Pastakia, S. Mitigating The Burden Of Diabetes in Sub-Saharan Africa Through an Integrated Diagonal Health Systems Approach. Diabetes Metab. Syndr. Obes. Targets Ther. 2019, 12, 2261–2272. [Google Scholar] [CrossRef] [Green Version]
  99. Mohan, V.; Khunti, K.; Chan, S.P.; Filho, F.F.; Tran, N.Q.; Ramaiya, K.; Joshi, S.; Mithal, A.; Mbaye, M.N.; Nicodemus, N.J.; et al. Management of Type 2 Diabetes in Developing Countries: Balancing Optimal Glycaemic Control and Outcomes with Affordability and Accessibility to Treatment. Diabetes Ther. 2020, 11, 15–35. [Google Scholar] [CrossRef] [Green Version]
  100. Hellquist, K.; Bradley, R.; Grambart, S.; Kapustin, J.; Loch, J. Collaborative Practice Benefits Patients: An Examination of Interprofessional Approaches to Diabetes Care. Health Interprof. Pract. 2012, 1, eP1017. [Google Scholar] [CrossRef]
  101. Lankhof, B. Perceptions of Collaboration and Mutual Respect Among Members of Interprofessional Teams. Ph.D. Thesis, Walden University, Minneapolis, MN, USA, 2018. [Google Scholar]
  102. Yorke, E.; Atiase, Y. Impact of structured education on glucose control and hypoglycaemia in Type-2 diabetes: A systematic review of srandomised controlled trials. Ghana Med. J. 2018, 52, 41–60. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  103. Chrvala, C.A.; Sherr, D.; Lipman, R.D. Diabetes self-management education for adults with type 2 diabetes mellitus: A systematic review of the effect on glycemic control. Patient Educ. Couns. 2016, 99, 926–943. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  104. Zhang, Y.; Chu, L. Effectiveness of Systematic Health Education Model for Type 2 Diabetes Patients. Int. J. Endocrinol. 2018, 2018, 6530607. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  105. Mohamed, A.; Staite, E.; Ismail, K.; Winkley, K. A systematic review of diabetes self-management education interventions for people with type 2 diabetes mellitus in the Asian Western Pacific (AWP) region. Nurs. Open 2019, 6, 1424–1437. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  106. Do Rosario Pinto, M.; Parreira, P.; Basto, M.L.; Dos Santos Mendes Monico, L. Impact of a structured multicomponent educational intervention program on metabolic control of patients with type 2 diabetes. BMC Endocr. Disord. 2017, 17, 77. [Google Scholar] [CrossRef] [Green Version]
Figure 1. Key elements of the development and evaluation process (Craig et al., 2008). Reproduced with permission of the UK Medical Research Council.
Figure 1. Key elements of the development and evaluation process (Craig et al., 2008). Reproduced with permission of the UK Medical Research Council.
Jcm 11 01149 g001
Figure 2. Activities undertaken in the co-design workshops.
Figure 2. Activities undertaken in the co-design workshops.
Jcm 11 01149 g002
Figure 3. Behaviour change intervention design process (Michie et al., 2014).
Figure 3. Behaviour change intervention design process (Michie et al., 2014).
Jcm 11 01149 g003
Figure 4. The processes involved in modelling and creating the complex intervention.
Figure 4. The processes involved in modelling and creating the complex intervention.
Jcm 11 01149 g004
Figure 5. Logic Model linking context of the healthcare system, resources, and intervention activities (Conrad et al., 1999).
Figure 5. Logic Model linking context of the healthcare system, resources, and intervention activities (Conrad et al., 1999).
Jcm 11 01149 g005
Table 1. Components and intervention plan of the complex (VICKY) intervention.
Table 1. Components and intervention plan of the complex (VICKY) intervention.
Components of the Complex Intervention (VICKY)Intervention Plan and Activities
1Patient-centred collaborative care by a team of physicians, clinical pharmacists, nurses, dietitians or nutritionists, psychologists, and policymakers.
  • Establish a multidisciplinary collaborative care team of physicians, nurses, clinical pharmacists, dietitians or nutritionists, psychologists, policymakers, and trained diabetes educators
  • Educational meetings, refresher trainings, discussion forums and refreshments, and feedback mechanisms for the collaborative care team
  • Training of the collaborative care team about collaborative care through practical clinic attachments, role plays, and videos.
  • Organise a separate working room for clinical pharmacists for the provision of clinical pharmacy services.
  • Mentorship and supervision of junior health professionals by senior professionals.
  • Establish a referral system for patients during transition of care between health professionals.
2Referral system for patients across transition of care between different health professionals of the diabetes care team (physicians, clinical pharmacists, nurses, dietitians or nutritionists, psychologists, and policymakers).
3Tools for provision of collaborative care and documentation for the care provided.
  • Protocol that guides the diabetes care team for the provision of collaborative care and referral systems across transition of care between health professionals.
  • Develop checklists to document the services provided by the collaborative care team to ensure collaborative care was provided
  • Checklists and documentation tools such as clinical pharmacy services documentation forms that support the provision of collaborative care activities.
4Evidence-based structured diabetes education and counselling by a team of trained physician, nurse, clinical pharmacist, dietitian or nutritionist, and expert patient.
  • A multidisciplinary team of individuals comprising nurses, clinical pharmacists, physicians, dietitians or nutritionists, peer diabetes educators, and policymakers will be established as a team of diabetes educators at the diabetes centre of TASH.
  • Diabetes educators’ training tailored to the context of the hospital and the country will be provided to the multidisciplinary team of nurses, clinical pharmacists, physicians, dietitians or nutritionists, peer diabetes educators, and policymakers to produce trained diabetes educators at the diabetes centre.
  • Context-specific diabetes education manual and educational materials such as brochures, leaflets, audio-visuals.
  • Design computerised patient referral forms for patients that require diabetes education and counselling.
  • Contextualised diabetes education checklist and patient diary will be developed.
5Educational materials and documentation tools for structured diabetes education and counselling.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Desse, T.A.; Namara, K.M.; Yifter, H.; Manias, E. Development of a Complex Intervention for Effective Management of Type 2 Diabetes in a Developing Country. J. Clin. Med. 2022, 11, 1149. https://doi.org/10.3390/jcm11051149

AMA Style

Desse TA, Namara KM, Yifter H, Manias E. Development of a Complex Intervention for Effective Management of Type 2 Diabetes in a Developing Country. Journal of Clinical Medicine. 2022; 11(5):1149. https://doi.org/10.3390/jcm11051149

Chicago/Turabian Style

Desse, Tigestu Alemu, Kevin Mc Namara, Helen Yifter, and Elizabeth Manias. 2022. "Development of a Complex Intervention for Effective Management of Type 2 Diabetes in a Developing Country" Journal of Clinical Medicine 11, no. 5: 1149. https://doi.org/10.3390/jcm11051149

APA Style

Desse, T. A., Namara, K. M., Yifter, H., & Manias, E. (2022). Development of a Complex Intervention for Effective Management of Type 2 Diabetes in a Developing Country. Journal of Clinical Medicine, 11(5), 1149. https://doi.org/10.3390/jcm11051149

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop