Health Economics Review最新文献

Objectives: Value-based insurance design (VBID) aims to direct consumers' preferences by incentivizing the use of high-value care and discouraging the use of low-value care. However, consumers often have limited knowledge of health insurance and the health insurance system, possibly distorting their preferences. In this study, we aim to investigate the impact of specific information treatments on consumers' preferences for VBID.

Methods: We implemented an information experiment as part of a representative survey on health insurance literacy and preferences for VBID within Switzerland's choice-based health insurance system. Preferences for VBID were measured through a discrete choice experiment. Cross-sectional data on 6,033 respondents aged 26-75 were analyzed using descriptive statistics and mixed logit regressions.

Results: Respondents showed strong preferences for their current health insurance instead of VBID alternatives. A general description of current regulations on cost-sharing, drug disbursement, and monthly premiums significantly increased preferences for VBID (p < 0.01). Pointing respondents specifically to VBID further reduced the opposition against VBID plans. At the same time, there is evidence for anchoring effects in copayments after receiving the information treatments, irrespective of the value of the care.

Conclusions: The results of this study highlight that individuals are susceptible to provided information about health insurance when building their preferences for VBID. One potential explanation is limited health insurance literacy, implying that tailored communication strategies may be needed to improve insurance decision-making.

Jel classification: I11, I13.

Background: The operationalization of universal health insurance in Burkina Faso represents a significant challenge for health coverage. The willingness of households to pay is a crucial aspect of the process. This highlights the necessity of examining the factors that may explain their willingness to pay. The objective of this study is to analyze the determinants of households' willingness to pay for health insurance in Burkina Faso.

Methods: The data used in this study were collected between March and September 2017 in the territory of Burkina Faso, covering six administrative regions. A total of 211 households were surveyed, 71 in urban areas and 140 in rural areas. The Tobit model was employed to analyze the determinants of willingness to pay, with the contingent valuation method used to obtain willingness to pay.

Results: The results of the descriptive analysis indicate that households are willing to pay approximately 7,600 F CFA on average for health insurance. The estimation results demonstrate that income has a positive effect on households' willingness to pay. Additionally, the occupation of the head of household and the insurance reimbursement rate are identified as determinants of willingness to pay.

Conclusion: The findings of this study indicate that income, the rate of repayment and the occupation of the head of household are the primary determinants of willingness to pay. In terms of implications, it is essential to ensure that the rate of protection is high, which could encourage households to pay the premium. Furthermore, the results of the evaluation suggest that interventions to increase household income may be beneficial.

Background: Medicine pricing in the community pharmacy sector in Zimbabwe significantly influences accessibility to health care. In this pilot survey, we investigated how community pharmacies in Zimbabwe apply various mark-up strategies to essential and non-essential medicines, and gathered community pharmacists' perspectives on mark-up regulation.

Methods: Using an adapted methodology endorsed by the World Health Organization and Health Action International for studying medicine prices and availability, we conducted a quantitative cross-sectional pilot survey for 46 medicines (31 essential and 15 non-essential) identified using the Zimbabwe Essential Medicines List and classified according to the Vital, Essential, and Non-essential (VEN) tool. We conducted the pilot survey in 92 community pharmacies in the metropolitan area of Harare, Zimbabwe.

Results: We gathered a total of 92 responses from 167 distributed questionnaires. The most prevalent mark-up strategy was the cost-plus fixed percentage.The median mark-up for all medicines in the community pharmacies was 60% (interquartile range 50- 82%). We found a statistically significant difference in the median mark-up by essentiality of medicines (p < 0.001), essential medicines had a median mark-up price of 62% while non-essential medicines had a mark-up of 56%. Antipsychotics had the highest mark-up at 82%, while anti-neoplastic medicine had the lowest at 36%. Overall, 55% of the community pharmacists did not support mark-up regulation.

Conclusion: Mark-up strategies varied across community pharmacies in the metropolitan area of Harare. Without mark-up regulation, essential medicines remain significantly expensive in Zimbabwe. We recommend mark-up regulation in Zimbabwe's community pharmacy sector and emphasize the effective use of multiple pricing strategies to reduce medicine prices.       .

Background: Access to safe, financial affordable health care is a key factor in reducing health disparities. The malaria is a major public health issue, with significant economic implications in Guinea where the free malaria care services were introduced in 2010. This paper analyzes the costs associated with the care pathway for malaria patients in the Republic of Guinea.

Methods: An analysis of the costs associated with malaria disease was conducted using data from a cross-sectional survey on the determinants of malaria care pathway between December 2022 and March 2023. The data were collected in health facilities and at community health workers. According to the patient's perspective, Time-Driven Activity-Based Costing (TDABC) and micro-costing approaches were used to assess the costs associated with care-seeking, cases management, and income loss.

Results: A total of 3300 patients were recruited in 60 health facilities. The majority were in urban areas (64.8%). One third of the patients were children under five years old. Over half of the patients or caregivers were without formal education, and most households were headed by husbands (78.5%). The median monthly income of the head of households was $116.0. Furthermore, after diagnosis, 25.5% of cases were uncomplicated malaria, 19.2% were complicated, and 52.2% were malaria associated with other diseases. Globally 41% of cases were on their first care pathway. The costs of care-seeking varied according to type of malaria, from $3.5 and $13.5 respectively for uncomplicated and complicated cases. The median direct costs of case management at health facilities were $7.3 (IQR: $4.1,13.3) for uncomplicated and $30.5 (IQR: 15.7, 51.4) for complicated cases. The total costs associated with the global care pathway differed across types of malaria and age groups, with median costs estimated at $17.4 (IQR: 6.7, 34.8) for uncomplicated cases and $43.5 (IQR: $ 19.7, 74.0) for complicated malaria. A delay in appropriate care-seeking accounted for 19% of the costs incurred by malaria patients in Guinea (p < 0.001).

Conclusion: Despite the introduction of free malaria prevention services, malaria patients or their caregivers continue to incur costs and loss of income. An approach to selective, free and affordable flat-rate costs could ensure the financial viability of health facilities and reduce out-of-pocket expenses. The next research will focus on the impact of free selective and flat-rate pricing on out-of-pocket expenses, and the analysis of the perception of the malaria care services by care providers and users.

When decision-makers use economic evaluation to facilitate making decisions about reimbursing whether to reimburse pharmaceuticals within a publicly funded health care system, they may consider whether to prioritise specific patient populations or diseases: e.g., cancer or rare disease. This can be achieved through applying equity weights to outcomes such as QALYs. Decision makers, however, must choose whether equity weights are applied to solely the treatment of a specific disease or to treatments of the patient with the specific disease. Without such clarification, confusion may arise which can hinder the work of those who must make reimbursement recommendations and decisions. This study examines the repercussions of implementation of equity weights. For illustration, two hypothetical case studies relating to a rare disease are considered. The first case study demonstrates that applying equity weights only to the treatment of the rare disease of interest can lead to a patient with that rare disease accruing less benefits at a higher cost to the payer. The second case study demonstrates that if equity weights are applied to the patients who have a specific rare disease, then funding of a treatment for a common disease may be restricted only to those patients for whom treatment is more costly and less effective. As discussions continue with respect to applying equity weights within economic evaluation, it is important that the repercussions outlined are recognised.

Background: Combining Trastuzumab with chemotherapy for HER2-positive gastric cancer shows treatment promise but may raise costs. We aimed to evaluate the cost-effectiveness of combining Trastuzumab with chemotherapy for HER2-positive gastric cancer treatment in Iran.

Methods: We employed a partitioned survival model (PSM) to evaluate the cost-effectiveness of trastuzumab plus chemotherapy versus chemotherapy alone. The PSM framework included three distinct health states: progression-free, post-progression, and death. Clinical data, including overall survival and progression-free survival rates, were derived from the ToGA trial, a randomized controlled study. A bottom-up approach was used to calculate costs by considering drug costs, adverse event management costs and other disease management costs separately for the progression-free and post-progression states. The analysis was conducted from the Iranian healthcare system's perspective, considering direct medical costs. We performed a cost-effectiveness analysis to determine the optimal strategy by comparing the incremental cost-effectiveness ratio (ICER) to Iran's cost-effectiveness threshold, set at one to three times the GDP per capita. Additionally, we conducted sensitivity analyses to assess the robustness of our findings.

Results: Both FOLFOX-based regimens were strongly dominated. In comparison, the CAPOX regimen cost $2,811.11 for 0.75 QALYs. Adding Trastuzumab to CAPOX increased the cost to $6,128 and improved effectiveness to 0.92 QALYs, resulting in an ICER of $19,089.94 per QALY, which is between 2 and 3 times the GDP per capita in 2022.

Conclusion: The addition of trastuzumab to chemotherapy regimens improved clinical outcomes in HER2-positive gastric cancer patients. From an economic perspective, the CAPOX regimen is the most cost-effective option when considering a cost-effectiveness threshold of up to two times Iran's GDP per capita. However, when the threshold increases to three times the GDP per capita, the CAPOX + Trastuzumab regimen becomes the preferred choice. These findings provide valuable insights for healthcare policymakers in Iran.

Background: The mismatch of medical resources is a significant issue in global healthcare, undermining both service accessibility and system efficiency. In China, despite the implementation of the "Healthy China" strategy, persistent mismatches remain due to factors such as industrialization, urbanization, and population aging. This study empirically evaluates the impact of Public Hospital Reform (PHR) on mitigating these mismatches.

Methods: A Difference-in-Differences (DD) approach is applied to panel data from 300 cities spanning 2010 to 2021, using the phased implementation of PHR as a quasi-natural experiment. This allows for a comparative analysis of changes in resource allocation between cities that adopted the reform and those that did not. Quantile regression assesses the effects of PHR across varying levels of resource mismatch, while mechanism tests investigate how PHR influences mismatches through cost reduction and supply expansion.

Results: PHR is found to reduce medical resource mismatches by 13.9%, primarily driven by cost reductions and increased resource supply. The effects are more pronounced at both lower and higher levels of mismatch, with a limited impact at mid-levels. Furthermore, the reform's effectiveness diminishes as it is extended to more cities, suggesting a potential saturation effect.

Conclusions: This study demonstrates that PHR significantly alleviates medical resource mismatches in China. The findings underscore the need to focus on cost control and resource supply in future healthcare reforms, providing key insights for policymakers in developing countries facing similar healthcare resource challenges.

Background: The objective of this study is to assess if waiting times for elective surgeries within the Portuguese National Health Service (NHS) are influenced by the waiting times at neighboring hospitals. Recognizing these interdependencies, and their extent, is crucial for understanding how hospital network dynamics affect healthcare delivery efficiency and patient access.

Methods: We utilized patient-level data from all elective surgeries conducted in Portuguese NHS hospitals to estimate a hospital-specific index for waiting times. This index served as the dependent variable in our analysis. We applied a spatial lag model to examine the potential strategic interactions between hospitals concerning their waiting times.

Results: Our analysis revealed a significant positive endogenous spatial dependence, indicating that waiting times in NHS hospitals are strategic complements. Furthermore, we found that NHS contracts with private not-for-profit hospitals not only reduce waiting times within these hospitals but also exert positive spillover effects on other NHS hospitals.

Conclusions: The findings suggest that diversifying the organization of the NHS hospital network, particularly through contracts with private entities for marginal patients, can significantly enhance competitive dynamics and reduce waiting times. This effect persists even when patient choice is confined to a small fraction of the patient population, highlighting a strategic avenue for policy optimization in healthcare service delivery.

Background: Iran's fee-for-service (FFS) payment model in neonatal intensive care units (NICUs) is contentious due to the involvement of multiple stakeholders with differing interests, leading to increased costs, fragmentation, and reduced quality of care. This study explores the experiences and challenges of stakeholders with the NICU payment system and considers alternative payment methods.

Method: A qualitative research approach was used, involving key informant interviews with stakeholders at various levels of the health system. Data were collected between March 2022 to September 2023 using a purposive sampling method with a snowball strategy. The transcribed data were analyzed using an inductive thematic approach in MAXQDA, with themes and sub-themes emerged and assessed by two independent coders. Four trustworthiness criteria were applied to ensure the quality of the results.

Results: The study involved 23 participants with diverse NICU payment backgrounds, identifying issues related to service accessibility, rising costs, neonatologists' income, and service quality. Stakeholders held differing views on the best payment model: health insurance executives favored a prospective payment method, faculty members favored supported modified FFS or per diem, and neonatal specialists expressed concerns about low tariffs and delayed payments.

Conclusion: Iran's NICU payment system is unsatisfactory and requires urgent reform. Although stakeholders disagree on the best approach, reforms must be evidence-based and collaborative, addressing structural and cultural issues within the health system. The identification of an optimal payment system is essential for supporting neonatal care, benefiting newborns, families, society, and the broader health system.

Background: Many countries have sought to promote well-being for their entire populations through the implementation of universal health coverage (UHC). To identify the extent to which UHC has been attained, it is necessary to evaluate equity of access to use of needed care and the cost burden of health services for the country's entire population. This study considers income-related inequalities in health care utilization and spending in a long-term perspective for the case of the Republic of Korea.

Methods: Exploiting longitudinal data from a nationally representative health survey from 2008 to 2018, this study investigates how income-related inequalities in health care in Korea have varied over time and examines the extent to which need and non-need factors contribute those inequalities, using an in-depth decomposition analysis, allowing for heterogeneous responses across income groups.

Results: The empirical results show that overall health care utilization is disproportionately concentrated among the poor over both the short and long run. Income-group differences and non-need determinants, such as marital status and private health insurance, make larger pro-poor contributions to inequality in inpatient care use, while chronic disease prevalence greatly pushes outpatient care utilization in a pro-poor direction. The results regarding inpatient care expenses indicate a similar pattern of pro-poor bias. Long-run inequality favors the better-off in terms of outpatient care expenses, where the contribution of income-group differences has the largest impact.

Conclusion: My findings suggest that it is important for health care policy in Korea to focus on improvements in the health status and well-being of low-income groups, as poor people are likely to be in poorer health. Non-need contributors could worsen pro-poor inequalities if the economic disparity across households were to increase due to the demographic transition. Higher spending on inpatient care may be a heavier financial burden for low-income people. Additional supportive measures should be provided to prevent them from suffering economic hardship. By contrast, people in high-income groups may spend most on costly services in outpatient care, including uninsured services, with the help of private health insurance. Nevertheless, the expansion of income disparity should be alleviated even from a health care policy perspective.