J. Mark. Access Health Policy, Volume 10, Issue 1 (December 2022) – 13 articles

Introduction: Pneumococcal diseases (PDs) are among the leading causes of mortality and morbidity worldwide. However, the evidence on epidemiology, health economic, and patient-reported outcomes has not been systematically reviewed and published in Japan. This study aimed to assess the burden, treatment adherence and compliance, and serotype distribution associated with PDs in Japan. Methods: One hundred and eight studies were identified between January 2005 and June 2020. The identified studies were mostly regional and with a limited scale, clinical settings, and populations. Results: In 2013–2017, invasive PD incidence rates were 4.98–9.47/100,000 in <4-year-olds, 0.36/100,000 in 5–14-year-olds, 0.46/100,000 in 15–64-year-olds, and 1.50–5.38/100,000 in the elderly. The incidence of invasive PDs in children decreased from 24.6/100,000 in 2008 to 10.7/100,000 in 2013 after the introduction of PCV7 and further declined to 10.3/100,000 in 2014 after PCV13 was introduced. From 2014, the prevalence of PCV13 serotypes decreased across all age groups along with a decrease of PPV23 serotypes, but an increase of PPV23 serotypes not included in PCV13 among adults and the elderly. No study reported health-related quality-of-life data for PDs. In children, direct costs were 340,905–405,978 JPY (3,099–3,691 USD) per pneumococcal bacteraemia, 767,447–848,255 JPY (6,977–7,711 USD) per pneumococcal meningitis, and 79,000 JPY (718 USD) per pneumococcal acute otitis media episodes. In adults and the elderly, the direct cost of pneumococcal pneumonia was 348,280–389,630 JPY (3,166–3,542 USD). The average hospital stay length was 7.2–31.9 days in children, 9.0 days in adults and 9.0–28.7 days in adults and the elderly. Conclusions: The epidemiological burden of PDs remains high in Japan, especially among children and the elderly with invasive PDs accounting for a very small proportion of all PDs. A significant impact of the PCV13 vaccine program was reported, while the PPV23’s impact remains unclear. A substantial decrease in quality-adjusted life years in adults and the elderly and a high economic burden may exist. Full article

Background: Globally, healthcare has shouldered much of the socioeconomic brunt of the COVID-19 pandemic leading to numerous clinical trials suspended or discontinued. Objective: To estimate the COVID-19 impact on the number of clinical trials worldwide. Methods: Data deposited by 219 countries in the ClinicalTrials.gov database (2007–2020) were interrogated using targeted queries. A time series model was fitted to the data for studies ongoing, initiated, or ended between 2007 Quarter (Q) 1 and 2019 Q4 to predict the expected trials number in 2020 in the COVID-19 absence. The predicted values were compared with the actual 2020 data to quantify the pandemic impact. Results: The ongoing registered trials number grew from 2007 Q1 (33,739) to 2019 Q4 (80,319). By contrast, there were markedly fewer ongoing trials in all four quarters of 2020 compared with forecasted values (1.6%–2.8% decrease). When excluding COVID-19-related studies, this disparity grew further (3.4%–5.8% decrease), to a peak of almost 5000 fewer ongoing trials than estimated for 2020 Q2. The initiated non-COVID-19 trials number was higher than predicted in 2020 Q4 (9.9%). Conclusions: This pandemic has impacted clinical trials. Provided that current trends persist, clinical trial activities may soon recover to at least pre-COVID-19 levels. Full article

Objectives: Deliberative processes in Health Technologies Assessment (HTA) result in recommendations that determine the reimbursement of medicines, diagnostics or devices. These processes are governed by explicit criteria, but are also influenced by implicit factors. The objective of this work was to identify the implicit factors influencing HTA deliberative processes in 5 European countries (France, Germany, Italy, Spain and the UK). Methods: A systematic review of literature published between 2009 and 2019 was conducted. The search was performed in Pubmed, The Cochrane Database of Systematic Reviews, Google Scholar and Center for Reviews and Dissemination. The ISPOR database was searched manually. Results: Out of 100 eligible publications, 8 articles were selected for data extraction and analysis. The implicit factors in the HTA deliberative process most frequently mentioned in the identified literature are value judgments, biases, preferences and subjectivity. 5/8 articles highlight the need to further improve the transparency of the process, and 3 provide recommendations on how to address the influence of implicit factors on the HTA deliberative process through a framework. Conclusion: Even in countries with a long HTA history, evidence on implicit factors is scarce. Some methods have been recommended for addressing these factors. Further research is required to characterize the implicit factors in the HTA deliberative process at a country level and explore potential ways to mitigate the influence of these factors on the HTA deliberative process. Full article

Background: Quantification of COVID-19 burden may be useful to support the future allocation of resources. Objective: To evaluate the public health impact of COVID-19 in French ambulatory patients with at least one risk factor for severe disease. Study design: A Markov model was used to estimate life years, costs, number of hospitalisations, number of deaths and long/prolonged COVID forms over a time horizon of 2 years. The hospitalisation probabilities were derived from an early access cohort, and the hospitalisation stay characteristics were derived from the French national hospital discharge database. Several scenario analyses were conducted. Results: The number of hospitalisations reached 256 per 1000 patients over the acute phase (first month of simulation), and 382 per 1000 patients over 2 years. The number of deaths was 37 per 1000 patients, and the number of long/prolonged COVID forms reached 407 per 1000 patients. These translated into a reduction of 0.7 days of life per patient in the first month, with an associated cost of €1578, and a reduction of 27 days of life over the time horizon, with an associated cost of €4280. The highest burden was observed for patients over 80 years old, and those not vaccinated. The scenarios with a less severe situation or new treatments available showed a non-negligible burden reduction. Conclusion: This study allowed us to quantify the considerable burden related to COVID-19 in infected patients, with at least one risk factor for severe form. Strategies with the ability to substantially reduce this burden in France are urgently required. Full article

Background: The economic impact of adverse events (AEs) for poly (ADP-ribose) polymerase inhibitors (PARPis) in ovarian or breast cancer has not been widely evaluated. Objective: Compare PARPi-related AE management costs from a US payer perspective. Methods: The frequency of treatment-related grade 3–4 AEs was obtained from published clinical trials of PARPis for the treatment of advanced ovarian cancer (AOC), platinum-sensitive recurrent ovarian cancer (PSROC), and metastatic breast cancer (MBC). AE management costs per patient (2020 USD) per treatment course were calculated by multiplying the AE unit costs by the frequency of AEs for each arm of each trial. Sensitivity analyses were conducted according to the lower and upper limits of the 95% confidence interval for AE rates and unit costs, respectively. Scenarios were also performed to explore the uncertainty of outcomes. Results: Total AE management costs in AOC were: $3904, olaparib; $5595, olaparib plus bevacizumab; and $12,215, niraparib. In PSROC, total costs were: $3894, olaparib; $6001, rucaparib; and $11,492, niraparib, and in MBC: $3574, olaparib; and $9489, talazoparib. Hematological toxicities were the key drivers of AE management costs for PARPis. Conclusions: The main AEs among PARPis were hematological. Olaparib was associated with lower AE costs compared to other PARPis. Full article

In order to optimize positioning and associated drug price for both payer and investor, it is for a company essential to forecast the potential market access attractiveness for the new drug for different indications at the early onset of the clinical development program. This analysis must include the constraints from the perspective of the payer, but also the biotech companies, who require a minimum drug price to satisfy their investors. This paper aims to provide an Integrated Valuation Model for payer and investor, bridging concepts from health economics and economic valuation reflecting the perspectives of the payer and the investor for a drug in early clinical development phase. The concept is illustrated for a new hypothetical drug (Product X) in advanced breast cancer in 1-line, 2-line, and 3-line position. The Integrated Valuation Model includes the outcomes of the budget impact model, pricing matrix model, and cost-effectiveness model reflecting the payer’s perspective. These models are interacted and linked with a discounted cash flow model in order to reflect also the economic value from the investor’s perspective. The maximum price in 1-line position is €269.7 for the payer and the minimum price is €14.7 for the investor, which are unit prices per administration corresponding with treatment regimens for the comparative treatments. In 2-line position, the maximum price is €274.1 for the payer and the minimum price for the investor increases to €184.5 for the investor because of the smaller market size in 2-line position, which leads to a smaller pricing corridor to satisfy both payer and investor. Consequently, Product X has market access attractiveness for both payer and investor in 1-line and 2-line position. However, the minimum price €942.7 in 3-line position for the investor is higher than the maximum price €283.3 for the payer, which means there is no market potential. The practical strategic application of the Integrated Valuation Model is optimization of positioning and price of Product X. Hence, it can be a transparent tool in early-stage development of a compound based on upfront assessment of market access attractiveness for the payer and the investor. Full article

Background: Precision oncology has a prominent role in nonsquamous non-small cell lung cancer (nsNSCLC) treatment progress; however, its access in a real-world scenario might be limited. Objective: To investigate the time spent in nsNSCLC molecular profile evaluation and its influence on clinical decisions. Methods: nsNSCLC patients who underwent molecular testing in a private referral Brazilian center between November 2015 and February 2020 were identified. The interval from nsNSCLC diagnosis to the characterization of the molecular profile was determined. Other outcomes, focusing on the biomarker tissue journey, were also assessed. Results: In this cohort (n = 78), the median time between the advanced nsNSCLC diagnosis and biomarker characterization was 40.5 days (range, 29.5–68.5). The median interval between the diagnosis and the test request was longer than the interval between the request and the results (respectively 29.0 versus 12.0 days; p < 0.001). At the treatment initiation, 51% (36/71) of the patients who received any systemic therapy did not have their driver mutations panel results available. But on these, 42% (15/36) had a targetable alteration identified later on. Among patients harboring a targetable alteration, only 46% (n = 13/28) received a tyrosine kinase inhibitor (TKI) as first-line therapy. The median time to the TKI initiation was even longer than the median time to all treatment initiation (92.0 versus 40.0 days). Conclusions: Our data show a long median time from advanced nsNSCLC diagnosis and the availability of the biomarker testing in medical practice, which impacted the choice of a non-personalized therapy as the first-line. Full article

Pupose—This essay uses service marketing concept to discuss how domestic medical tourism (DMT) can contribute to healthcare equity in developed countries. Approach—The authors take up several vital issues. First, the potential benefits of DMT are outlined from a healthcare equity perspective; second, the challenges that DMT confronts in reaching its aim are identified; and finally, a few research areas are suggested. Finding—It is suggested that increased awareness about the healthcare service and proper service delivery are required to improve healthcare equity. Practical implication—This paper raises several research issues from service marketing to deal with delivery, communication, efficiency, and insurance practices regarding healthcare. Social implication—From a societal point of view, it explores how healthcare equity can be improved by DMT. Full article

Background: Although medical costs need to be controlled, there are no easily applicable cost prediction models of transfer to palliative care (PC) for terminal cancer patients. Construct a cost-saving prediction model based on terminal cancer patients’ data at hospital admission. Study design: Retrospective cohort study. Setting: A Japanese general hospital. Patients: A total of 139 stage IV cancer patients transferred to PC, who died during hospitalization from April 2014 to March 2019. Main outcome measure: Patients were divided into higher (59) and lower (80) total medical costs per day after transfer to PC. We compared demographics, cancer type, medical history, and laboratory results between the groups. Stepwise logistic regression analysis was used for model development and area under the curve (AUC) calculation. Results: A cost-saving prediction model (AUC = 0.78, 95% CI: 0.70, 0.85) with a total score of 13 points was constructed as follows: 2 points each for age ≤ 74 years, creatinine ≥ 0.68 mg/dL, and lactate dehydrogenase ≤ 188 IU/L; 3 points for hemoglobin ≤ 8.8 g/dL; and 4 points for potassium ≤ 3.3 mEq/L. Conclusion: Our model contains five predictors easily available in clinical settings and exhibited good predictive ability. Full article

Background: Symptoms of neurogenic orthostatic hypotension (nOH), including lightheadedness/dizziness, presyncope, syncope, and falls, can lead to impaired functional ability and reduced quality of life. Because the severity and frequency of nOH symptoms fluctuate, it may be difficult for patients to accurately quantify the effect of symptoms on their daily lives using available outcome measures. A new single-item instrument, the ‘Good Day Bad Day,’ was developed, and its psychometric validity was assessed in patients with nOH. Methods: Data from a 6-month, prospective, observational cohort study of patients with nOH who were newly initiating droxidopa treatment were used. Patients were asked to quantify the number of good and bad days in the previous 7 days and responded to other validated patient-reported outcomes instruments. The concurrent and discriminant validities and the stability of the Good Day Bad Day instrument were assessed. Results: A total of 153 patients were included in the analysis (mean [SD] age, 62.3 [17] years). Change in the number of good days moderately correlated with improvements in other patient-reported outcomes (rho value range, −0.38 to −0.61). When data were examined categorically (low vs high symptom severity), the mean number of good days was higher in subgroups representing low symptom severity across measures at 1, 3, and 6 months (all P ≤ 0.01). Conclusions: The Good Day Bad Day instrument provided good discrimination at baseline and over time and may aid in assessment of the effects of nOH symptoms on patients. Full article

Background: Several healthcare systems have elements of managed competition in which citizens can choose between multiple insurers. In order for this principle to function properly, all citizens should have equal opportunities to switch insurer. Studies, conducted around 2015, have shown that the supplementary insurance policy is perceived by citizens as a barrier to switching, which could have negative consequences for the intended goals of the system. We aim to explore whether a supplementary insurance policy still has a restraining role on the opportunity to switch among citizens in the Netherlands from 2015 to 2020. Furthermore, we will examine if the extensiveness of the supplementary insurance policy relates to the switching behaviour of citizens. This element has not been addressed in previous studies. Methods: We obtained information on the role of the supplementary health insurance policy in the switching behaviour of citizens by sending questionnaires, yearly in February from 2015–2020, to 1,500 members of the Dutch Health Care Consumer Panel (DHCCP) each year. As such, we were able to examine whether having a supplementary insurance policy plays a role in the decision of Dutch citizens to switch insurer. The response rates were consecutively from 2015 to 2020: 60% (n = 896), 47% (n = 703), 44% (n = 659), 50% (n = 751), 48% (n = 715), and 54% (n = 806). Results: Citizens with a supplementary insurance policy switch less often than citizens without one. The extensiveness of the supplementary insurance policy is significantly associated with the decision of citizens to switch insurer; the more extensive citizens are insured, the less often they switch. Additionally, our results show that every year a small group of citizens does not switch insurer because they are concerned that they will not be accepted for a supplementary insurance policy. Conclusions: Our results indicate that having a supplementary insurance policy holds citizens back from using their opportunity to switch. This contributes to the idea that having a supplementary insurance policy could be experienced by citizens as a barrier to switch. This raises questions about the extent to which the principle of managed competition in the Dutch healthcare system works as intended. Full article