Equity In Health Care Financing Research Articles

Predicting healthcare expenditure based on Adjusted Morbidity Groups to implement a needs-based capitation financing system

BackgroundDue to population aging, healthcare expenditure is projected to increase substantially in developed countries like Spain. However, prior research indicates that health status, not merely age, is a key driver of healthcare costs. This study analyzed data from over 1.25 million residents of Spain's Murcia region to develop a capitation-based healthcare financing model incorporating health status via Adjusted Morbidity Groups (AMGs). The goal was to simulate an equitable area-based healthcare budget allocation reflecting population needs.MethodsUsing 2017 data on residents' age, sex, AMG designation, and individual healthcare costs, generalized linear models were built to predict healthcare expenditure based on health status indicators. Multiple link functions and distribution families were tested, with model selection guided by information criteria, residual analysis, and goodness-of-fit statistics. The selected model was used to estimate adjusted populations and simulate capitated budgets for the 9 healthcare districts in Murcia.ResultsThe gamma distribution with logarithmic link function provided the best model fit. Comparisons of predicted and actual average costs revealed underfunded and overfunded areas within Murcia. If implemented, the capitation model would decrease funding for most districts (up to 15.5%) while increasing it for two high-need areas, emphasizing allocation based on health status and standardized utilization rather than historical spending alone.ConclusionsAMG-based capitated budgeting could improve equity in healthcare financing across regions in Spain. By explicitly incorporating multimorbidity burden into allocation formulas, resources can be reallocated towards areas with poorer overall population health. Further policy analysis and adjustment is needed before full-scale implementation of such need-based global budgets.

Does Public Spending Reflect the Need for Health: A Cross-sectional Analysis at District Level in India.

There is mixed evidence on the extent of association between the allocation of public revenue for healthcare and its indicators of need. In this study, we examined the relationship between allocations through state health financing (SHF) and the Central Government with infant mortality. District-wise infant mortality rate (IMR) was computed using National Family Health Survey-4 data. State-wise data for health budgets through SHF and National Health Mission (NHM, a Centrally Sponsored Scheme), were obtained for the year 2015-16. We used a multivariable analysis through generalized linear model method using identity-link function. We found per capita SHF (₹3169) to be more than 12 times that of public health spending per capita through NHM (₹261). IMR was lower in districts with higher SHF allocation, although statistically insignificant. The allocation through NHM was higher in districts with higher IMR, which is statistically significant. Every unit percentage increase in per capita net state domestic product and female literacy led to 0.31% and 0.54% decline, while a 1% increase in under-five diarrhoea prevalence led to 0.17% increase in IMR. The NHM has contributed to enhancing vertical equity in health-care financing. The States' need to be more responsive to the differences in districts while allocating health-care resources. There needs to be a focus on spending on social determinants, which should be the cornerstone for any universal health coverage strategy.

HPR168 Assessment of Equity in Healthcare Financing for Uganda

HPR168 Assessment of Equity in Healthcare Financing for Uganda

The Effect of Iran Health Transformation Plan on Equity in Health Financing: A Systematic Review.

Achieving financial goals is one of the health systems goals, especially for those in low- and middle-income countries. Since financing equity, is an objective of Health Transformation Plan (HTP) implementation in Iran, this study examined this plan toward improving equity in healthcare Financing, using four payment indices: Out-of-Pocket Payment (OOP), Catastrophic Health Expenditure (CHE), Fair financial Contribution Index (FFCI) and Impoverishing Health Expenditure (IHE). Articles published in English on equity in financing related to HTP were searched and retrieved in the Web of Science, Scopus, PubMed, and Embase databases between Jan 2014 and Dec 2020, following PRISMA guidelines. Overall, 1319 papers were retrieved initially, and 31 were selected for analysis. After implementation of HTP, OOP index has decreased between patients and households. No consistent trend was evident for CHE. HTP reforms have a limited effect on the FFCI. The one study on IHE has shown an upward trend for this index. In general, in the early years of HTP, there was a higher downward trend in equity in financing indicators than in subsequent years. HTP has made significant accomplishments in equity, such as the financial protection of patients in healthcare centers, but fail to achieve this plan goals, significantly reduced its value. Therefore, it is necessary for managers and health policy makers around the world, with scientific and principled solutions, to prevent loss of their reform plans positive achievements.

Equity in the public social healthcare protection in Tanzania: does it matter on household healthcare financing?

Efforts to promote equity in healthcare involve implementing policies and programs that address the root causes of healthcare disparities and promote equal access to care. One such program is the public social healthcare protection schemes. However, like many other developing countries, Tanzania has low health insurance coverage, hindering its efforts to achieve universal health coverage. This study examines the role of equity in public social healthcare protection and its effects on household healthcare financing in Tanzania. The study used secondary data collected from the National Bureau of Statistics' National Panel Survey 2020/21 and stratified households based on their place of residence (rural vs. urban). Moreover, the logit regression model, ordered logit, and the endogenous switching regression model were used to provide counterfactual estimates without selection bias and endogeneity problems. The results showed greater variations in social health protection across rural and urban households, increasing disparities in health outcomes between these areas. Rural residents are the most vulnerable groups. Furthermore, education, income, and direct healthcare costs significantly influence equity in healthcare financing and the ability of households to benefit from public social healthcare protection schemes. To achieve equity in healthcare in rural and urban areas, developing countries need to increase investment in health sector by reducing the cost of healthcare, which will significantly reduce household healthcare financing. Furthermore, the study recommends that social health protection is an essential strategy for improving fair access to quality healthcare by removing differences across households and promoting equality in utilizing healthcare services.

Decomposition of socioeconomic inequalities in catastrophic out-of-pocket expenditure for healthcare in Canada

Despite a publicly financed health system for physician and hospital services, out-of-pocket health expenditure (OHE) accounts for a significant proportion of healthcare financing in Canada. We pooled annual Surveys of Household Spending conducted from 2010 to 2017 (n=34,105) to estimate the catastrophic out-of-pocket expenditure (COHE) burden using two definitions: the budget share (OHE exceeding 10% of a household's total consumption) and capacity-to-pay (OHE exceeding 40% of a household's total consumption minus basic subsistence needs). The Wagstaff index (WI) and the Erreygers Index (EI) were used to quantify and decompose socioeconomic inequalities in COHE. Results demonstrate that approximately 6% and 10% of the households faced COHE in Canada, depending on whether we used the budget share or capacity-to-pay approach to measure COHE. The COHE was found to be concentrated among low socioeconomic status (SES) households. Decomposition results indicate that besides SES, household characteristics (e.g., households headed by females and the presence of senior(s) in the households) were the most important factors contributing to the concentration of COHE among the poorer households. The lower utilization of healthcare services among the poor resulted in reduced COHE among these households. A higher burden of COHE is a major concern in Canada. Policies to enhance risk protection among specific populations such as the seniors are required to improve equity in healthcare financing in Canada.

What can we learn from China’s health insurance reform to improve the horizontal equity of healthcare financing?

BackgroundUniversal health coverage is a challenge to horizontal equity in healthcare financing. Since 1998, China has extended its healthcare insurance schemes, and individuals with equal incomes but different attributes such as social status, profession, geographic access to health care, and health conditions, are covered by the same health insurance scheme. This study aims to examine horizontal inequity in the Chinese healthcare financing system in 2002 and 2007 using data from two national household health surveys.MethodsMulti-stage stratified random sampling was used to select 3,946 households with 13,619 individuals in 2002, and 3,958 households with 12,973 individuals in 2007. A decomposition method was used to measure the horizontal inequity and reranking in healthcare finance.ResultsOver the period 2002–2007, the absolute value of horizontal inequity in total healthcare payments decreased from 997.83 percentage points to 199.87 percentage points in urban areas, and increased from 22.28 percentage points to 48.80 percentage points in rural areas. The horizontal inequity in social health insurance remained almost the same in urban areas, at around 27 percentage points, but decreased from 110.90 percentage points to 7.80 percentage points in rural areas. Horizontal inequity in out-of-pocket payments decreased from 178.43 percentage points to 80.96 percentage points in urban areas, and increased from 26.06 percentage points to 41.40 percentage points in rural areas.ConclusionThe horizontal inequity of healthcare finance in China over the period 2002–2007 was reduced by general taxation and social insurance, but strongly affected by out-of-pocket payments. Increasing the benefits from social health insurance would help to reduce horizontal inequity.

Analysis on the equity differential on household healthcare financing in developing countries: empirical evidence from Tanzania, East Africa

BackgroundAchieving equity in healthcare services has been a global priority. According to the literature, a slew of initiatives aimed at increasing household equity in healthcare financing have exacerbated the problem, making it hard for most developing countries to understand the real cause of the problem.MethodThe non-experimental research design has been used to explore the Tanzania Panel Survey (NPS) data 2019/2020, to investigate equity differential in household healthcare financing in Tanzania by the use of conventional instrumental variable methods of Two-stage and Three-stage least square methodsResultsDespite the global agenda of universal health coverage, this paper reveals that 86 percent of Tanzania lacks health insurance with a high degree of inequitable distribution of health facilities as 71.54 percent of the population is in rural areas, yet these areas have poor health systems compared to urban ones. These disparities increase pressure on household healthcare financing and widen the inequity and equality gaps simultaneously. Additionally, a household's income, education, health care waivers, out-of-pocket expenditure, and user fees have been found to have a significant impact on household equity in healthcare financing.ConclusionTo reverse the situation and increase equity in household healthcare financing in most developing countries, this paper suggests that an adequate pooling system should be used to allow more people to be covered by medical prepayment programs, and the donor-funded programs in developing countries should focus on health sector infrastructure development and not the capacity building.

Vertical Equity in Healthcare Financing: A Progressivity Analysis for the Italian Regions.

Background: The aim of this paper is to measure for the first time in Italy the progressivity of healthcare financing systems at the regional level by using the Kakwani index (KI), the most widely used summary measure of progressivity in the healthcare financing literature. Methods: KIs were reported by region and by health financing sources for the year 2015. Results: There were significant vertical inequities in healthcare financing at both national and regional level. OOP (out-of-pocket) payments and value added tax were slightly regressive; income taxation on firms and households was progressive. Conclusions: After the introduction of fiscal federalism during the 90s, the healthcare financing system became regressive. A regional divide emerged: Overall regressivity is higher in the south and lower in the north, partly compensated by the interregional equalization mechanism, based on the redistribution of VAT from northern to southern regions. In times of policy interventions aiming at recovering the economy during the COVID-19 pandemic, it is important to monitor equity in healthcare financing.

Equity in healthcare financing following the introduction of the unified residents' health insurance scheme in China.

This study sought to explore whether there are significant disparities in the financing of healthcare between urban and rural populations following the introduction in 2016 of the Urban and Rural Resident Basic Medical Insurance (URRBMI) scheme in China. We used household survey data from Heilongjiang province to estimate separate concentration curves in the financing burden and the resultant Kakwani indices (KIs) for urban and rural populations. This enabled the assessment of the progressivity (or otherwise) of this burden. The results show that in urban areas indirect taxes were proportional (KI = 0.0009, P = 0.8449), while indirect taxes in rural areas were progressive (KI = 0.0284, P = 0.0002). In both urban and rural areas, direct taxes were found to be progressive (urban: KI = 0.4628, P < 0.0001; rural: KI = 0.4087, P = 0.0064), while URRBMI was regressive (urban: KI = - 0.6236, P < 0.0001; rural: KI = - 0.4325, P < 0.0001). Out-of-pocket payments were proportional in urban areas (KI = - 0.0064, P = 0.7490); in contrast, they were regressive in rural areas (KI = - 0.1078, P = 0.0012). Overall, the burden of healthcare finance in urban China was found to be neither regressive nor progressive (KI = - 0.0142, P = 0. 1397), whereas in rural China it was found to be regressive (KI = - 0.1208, P < 0.0001). This result is driven by high reliance on regressive forms of funding, namely, fixed contributions to URRBMI, out-of-pocket costs and private health insurance. It is concluded that achieving equity in health financing in China will require strong measures to reduce the regressivity of financing, particularly for rural populations. This can be achieved through a shift towards means-adjusted URRBMI contributions, a greater reliance on tax-based financing and reducing the reliance on out-of-pocket payments and private health insurance.

Equity in Out-of-Pocket Payments for Healthcare Service Delivery in Urban and Rural Households: Evidence from Iran

Background: Out-of-pocket payments for medical services may undermine access to medical services and equity in healthcare financing. Objectives: The present study aimed to determine the distribution of the burden of out-of-pocket payments for healthcare services among the households in Qazvin province, Iran. Methods: This descriptive-analytical study was conducted on the urban and rural households in Qazvin province, Iran during 2019 - 2020. Data were obtained from the Statistics Center of Iran (2019 - 2020). The optimal sample size was calculated to be 992 households, and the households were selected via three-stage random cluster sampling. Data were collected using a valid questionnaire and via face-to-face interviews with the household owners. The fair financial contribution index (FFCI), concentration index, and Kakwani index were estimated in the Stata software. Results: The estimated parameters indicated that during the study period (March 21, 2019-March 20, 2020), the FFCI value of the rural and urban households was 0.782 and 0.854, respectively. The out-of-pocket payment concentration index based on income rank was estimated at 0.188 in rural households (P &lt; 0.05) and 0.031 in the urban households. In addition, the Kakwani index of the urban and rural households was calculated to be -0.165 and -0.84, respectively. Conclusions: According to the results, out-of-pocket payments were unequally distributed among the households in Qazvin province in 2019 - 2020. These payments were mostly concentrated on the 5th - 7th deciles of urban households. On the other hand, the out-of-pocket payments during the study period were regressive. To promote financial equity, Qazvin health policymakers must run payment exemptions for low-income groups and also expand the medical insurance coverage and universal coverage of healthcare services.

Trend and status of out-of-pocket payments for healthcare in Iran: equity and catastrophic effect

BackgroundEquity in the distribution of health care resources and mitigating the risk of out-of-pocket (OOP) catastrophic healthcare expenditures (CHE) are the major objectives of the health system of a country. This study aims to measure equity in OOP payments for healthcare and the incidence of CHE among Iranian households over time.MethodsThis retrospective cross-sectional study utilized data extracted from the household income and expenditure survey (HIES) of Iran, collected by the Statistical Center of Iran. The analysis included a total of 174,341 households’ five yearly data of 6 years starting from 1991 to 2017. Kakwani progressivity index (KPI) was used to measure the equity in OOP payment for each year and examine the households’ incidence of CHE at 20%, 30%, and 40% of their capacities to pay (CTP). The trend series regression analysis was used to examine the trend in the KPI and the incidence of the CHE over time.ResultsThe findings indicated that the households’ expenditure on health out of their monthly budgets for the years 1991 and 2017 were 2.1% and 10.1%, respectively. The KPI for the OOP payment was negative for all 6-year observations (1991 = − 0.680; 1996 = − 0.608; 2001 = − 0.554; 2006 = − 0.265; 2011 = − 0.225, and 2017 = − 0.207), indicating that the OOP payments for healthcare are regressive and more concentrated among the socioeconomically disadvantaged households. There was a statistically significant (p = 0.003) increase in the KPI (i.e., decline in the regressivity) over time. The incidence of the CHE (1.12, 1.93, and 3.71%) in 1991 at the CTP levels of 20%, 30%, and 40% was lower than the incidence at the corresponding levels of CTP (5.26, 10.88, and 22.16) in 2017. The findings of the time-series regression indicated a statistically significant (p < 0.05) increase in the incidence of the CHE at the 20%, 30%, and 40% levels of the households’ CTP.ConclusionsThe current study demonstrated that OOP payment as a source of healthcare funding in Iran is inequitable. While the use of interventions such as the prepaid and publicly funded programs may contribute to the reduction of CHE and improvement of equity in healthcare financing, further inequality analyses in the incidence of the CHE among households and its main determinants can contribute to evidence-informed planning to reduce the CHE in the context.

Evaluating Equity in Health Financing Using Benefit Incidence Analysis: A Framework for Accounting for Quality of Care.

Equity in health care financing has gained increased attention in low- and middle-income countries (LMICs) following the renewed global interest in universal health coverage (UHC), a key component of the sustainable development goals (SDGs). UHC requires that people have access to the health services they need without risking financial hardship. Health financing is central to UHC and many LMICs have initiated reforms to align their health financing systems with the goals of UHC. Evaluation of the equity impact of these reforms has become a growing area of research, especially in countries with large health inequalities where the pressure to move towards UHC is most intense and the need for evidence to inform policy most critical. However, current analytical tools for evaluating equity in health financing conspicuously exclude indicators of quality, an important dimension of UHC. The aim of this paper was to address this critical methodological gap by introducing quality scores into benefit incidence analysis (BIA), one of the key techniques for assessing equity in health financing. BIA measures the extent to which different socioeconomic groups benefit from public spending on health care through their use of health services. The benefit (public subsidy) is captured in monetary terms by multiplying the quantity of a particular health service consumed by the unit cost of that service and subtracting any out-of-pocket costs incurred while using the service. It does not account for variations in the quality of health services in the computation of the public subsidy.

Equity in health-care financing in China during the progression toward universal health coverage

Financing equity has become a major policy goal in China's progression toward universal health coverage since the beginning of the 21st century. In this study, we examine the equity characteristics of health-care financing in a province in the middle of China, comparing the equity performance between urban and rural areas at two different points in time. Progressivity and the corresponding Kakwani index were used to assess four health-care financing sources: indirect and direct taxes, public health insurance, and out-of-pocket payments. Two rounds of surveys were conducted in 2008 (5650 individuals in 1800 households) and 2013 (11,250 individuals in 3598 households). Household socioeconomic status, health-care payments, and utilization information were recorded during household interviews. Total health-care financing was near proportional in 2008 and slightly progressive in 2013 in urban areas, whilst it was marginally progressive in both 2008 and 2013 in rural areas. The health-care financing system was more equitable in 2013 than in 2008. Overall, the performance of China's health-care financing has improved over the period 2008–2013. Using flat-rate contributions to fund health care is not equitable to the poor. Key measures to achieve equitable health-care financing distribution include improvements in the benefit packages offered by health-insurance schemes and provision of essential health services.

A Systematic Review of Equity in Healthcare Financing in Low- and Middle-Income Countries

ObjectivesThe present systematic review aimed to assess the healthcare financing system by studying the relevant indicators in low- and middle-income countries (LMICs). The focus of this research was on the entire healthcare system without considering any specific healthcare service or population group. This article explains the conditions of equity in people’s payments for healthcare services in LMICs and focuses on the strengths and weaknesses of successful or failed healthcare systems. MethodsA systematic search was conducted in the existing database that included the data up to December 2016. The quantity of equity was estimated using relevant indicators and comparing the results with indicators’ specific values. Narrative synthesis was then performed for the purpose of reporting the results. ResultsA total of 17 articles from 14 regions, including Palestine, China, China (Heilongjiang), China (Gansu), Ghana, Hungary, Iran, Tunisia, Tanzania, Malaysia, Malawi, Zimbabwe, Uganda, and Chile met the inclusion criteria. The findings indicated that the insurance system (individual and social) is the most equitable method of financing, whereas direct payment is the most unfair method. Nevertheless, many countries still struggle with various payment methods, and people use direct payments. ConclusionsResults revealed that several factors can affect a country’s failure to establish equity in financing the health system. These factors include an increase in direct payments by people to reduce the government’s share, failure to cover insurance for the entire population (and especially the poor), and problems in identifying people from low-income groups and setting rules for exempting them from taxes.

Equity in healthcare financing: a case of Iran

BackgroundFair financial contribution in healthcare financing is one of the main goals and challengeable subjects in the evaluation of world health system functions. This study aimed to investigate the equity in healthcare financing in Shiraz, Iran in 2018.Materials and methodsThis was a cross- sectional survey conducted on the Shiraz, Iran households. A sample of 740 households (2357 persons) was selected from 11 municipal districts using the multi-stage sampling method (stratified sampling method proportional to size, cluster sampling and systematic random sampling methods). The required data were collected using the Persian format of “World Health Survey” questionnaire. The collected data were analyzed using Stata14.0 and Excel 2007. The Gini coefficient and concentration and Kakwani indices were calculated for health insurance premiums (basic and complementary), inpatient and outpatient services costs, out of pocket payments and, totally, health expenses.ResultsThe Gini coefficient was obtained based on the studied population incomes equal to 0.297. Also, the results revealed that the concentration index and Kakwani index were, respectively, 0.171 and − 0.125 for basic health insurance premiums, 0.259 and − 0.038 for health insurance complementary premiums, 0.198 and − 0.099 for total health insurance premiums, 0.126 and − 0.170 for outpatient services costs, 0.236 and − 0.061 for inpatient services costs, 0.174 and − 0.123 for out of pocket payments (including the sum of costs related to the inpatient and outpatient services) and 0.185 and − 0.112 for the health expenses (including the sum of out of pocket payments and health insurance premiums).ConclusionThe results showed that the healthcare financing in Shiraz, Iran was regressive and there was vertical inequity and, accordingly, it is essential to making more efforts in order to implement universal insurance coverage, redistribute incomes in the health sector to support low-income people, strengthening the health insurance schemes, etc.

Healthcare Financing in Nigeria: The Analysis of the Inequity Perspective

The volume and quality of healthcare needs vary from one individual to another but promoting access to the use of healthcare is germane to reduce/eliminate inequity in healthcare. This paper examines the extent of equity in healthcare financing in Nigeria, and determine the relative progressivity of each source of healthcare financing in the country using waves 2 and 3 of the General Household Survey. Kakwani and Modified Kakwani (MDK) indexes were used to estimate progressivity of out of pocket payment (OOP) and social health insurance. Overall result indicates a vertical inequity favouring the non-poor (pro-rich), OOP as a source of financing was regressive and social health insurance was moderately progressive. Given that a more progressive healthcare financing approach tends to promote welfare and improve health status of the population, Nigeria will be better off promoting health insurance as a means of eliminating inequity in healthcare financing.

Analysing equity in healthcare financing in Canada

Analysing equity in healthcare financing in Canada

Assessing progressivity and catastrophic effect of out-of-pocket payments for healthcare in Canada: 2010-2015.

Equity in healthcare is an important policy objective of the Canadian healthcare system. Out-of-pocket payments for healthcare (OPPH) by Canadian households account for a substantial share of total healthcare expenditures. Using data from Statistics Canada's Survey of Household Spending (SHS, n = 33,367), this study examined the progressivity and catastrophic effect of OPPH in Canada over the period 2010 to 2015 inclusive. The Kakwani Progressivity Index (KPI) was used to measure the progressivity of OPPH for each year of the study period. The catastrophic effect of OPPH was calculated using a threshold of 10% of total household consumption. The computed KPI indicated that OPPH are a regressive source of healthcare funding in Canada and the regressivity of OPPH has increased over the study period. This indicates that the distribution of OPPH in Canada is not equitable and the percentagecontribution of households from their total consumption to healthcare as OPPH decreases as their consumption increase. The results also suggested that 7% of Canadian households face catastrophic out-of-pocket payments for healthcare (COPPH) over the study period. The proportion of households with COPPH was higher in rural areas compared with urban areas over the study period. Policies to enhance financial risk protection among low-income and rural households are required to improve equity in healthcare financing in Canada.

Analysis of the Health Sector Evolution Plan from the perspective of equity in healthcare financing: a multiple streams model

Purpose Health Sector Evolution Plan (HSEP) is known as the biggest and most comprehensive reform in Iran’s health system. One of the goals of HSEP is to reduce inequity in the healthcare financing. The purpose of this paper is to demonstrate HSEP agenda setting from the perspective of equity in healthcare financing (EHCF) using the multiple streams model. Design/methodology/approach This qualitative study was conducted by 26 documents review and analysis, and 30 semi-structured interview with Iranian key informants in the field of HSEP that were selected based on purposeful and snowball sampling method. Data were collected using a researcher-made checklist based on the goals. All audio-taped interviews were transcribed and analyzed thematically. Data management and analysis were performed using the framework analysis in MAXQDA software. Findings The framework analysis identified 12 complementary sub-themes totally. Problem stream included four sub-themes (high share of Out Of Pocket, high index of catastrophic health expenditures, low EHCF index, and inappropriate economic state and sanctions). Focus on EHCF in general policies of the Iran World Health Organization’s report in 2000, the Targeted Subsidies Law and emphasis on equalizing healthcare financing in the Fourth and Fifth Development Plan were considered as policy stream sub-themes. Finally, political stream showed four sub-themes including strong support from the Minister of Health for HSEP, mass media, the pressure of WHO and people’s request to reduce health costs. Research limitations/implications The limitations of the present study included paying attention to one package (evolution in the treatment sector) of three health packages to assess EHCF, as well as the lack of similar national and international evidence in implementation framework. Practical implications The results of this study can be used to analyze other health sector reforms around the word and can help the formulation and implementation of most practical reforms, especially in field of health system financing. Social implications This study gives a holistic view about health system policy setting that can be used for understanding policy-making streams to population. Originality/value This is the first study that has examined HSEP (the biggest health sector reform in Iran) from the perspective of agenda setting. In addition, using the popular and well-known Kingdon’s model to explain HSEP agenda setting is one of the strengths of this study. Furthermore, taking advantage of a wide range of related views by including highly informed people increased the strength of the results of the study. In addition, the short interval between the interview and reviewing the results on reforms reduced the recall bias of the participants in the study.