The impact of rural health insurance and the family physician program on hospitalizations, a beforeafter study at the county level conducted in Tehran province, Iran (2024)

Abstract

Keywords: Family physician, Health insurance, Hospitalization, Rural health

Introduction

Universal health coverage (UHC) aims to ensure that all people, whether rich or poor, have access to effective health services that meet most of their health needs, without being exposed to the risk of financial hardship (1). Actions on Universal Health Coverage can have mixed effects on hospitalization rates. The development of health insurance services will remove financial barriers that prevent access to secondary health care services, and will therefore increase hospitalization rates (2-5). Expansion of Primary Health Care (PHC) - an approach that has been approved as a global strategy by the WHO to reduce costs and improve health care quality (2-4) results in an increase in referral-sensitive hospitalizations by identifying unmet needs (5-7) and also decreases avoidable hospitalizations by providing timely preventive care (8, 9). Avoidable or preventable hospitalizations are hospitalizations that timely and effective primary care could prevent the need for hospitalization (9, 10). Avoidable hospitalization rates used as indicators for access or quality of primary health care services (11, 12).

Iran has enjoyed an extensive network of publicly funded primary health-care services in rural areas since the mid-1980s. A “health house” is a part of the district PHC network. It is staffed by one or two Behvarz’s who serve an average population of around 1500 (13). PHC networks have achieved great results in promoting the health of the general population, but problems such as financial barriers that prevent the rural population from receiving secondary care, poor referral systems and epidemiological changes such as increase in the rates of chronic diseases led to the development of reforms in 2005 (14). Based on these reforms, all rural areas and towns with a population of less than 20000 people were covered by a rural health insurance program funded by the Iran Health Insurance Organization (IHIO). The family physician program was simultaneously carried out in these areas, and around 6000 physicians and 4000 midwives were added to the PHC network (15).

In order to assess the effect of these reforms on hospitalizations, Rashidian et al. conducted a study in an underserved province in Iran. The results showed that hospitalization rates increase up until one year after the interventions. However, this study did not present any findings about the effect of reforms on avoidable hospitalizations (AHs) (6). In this study, we explored the effects of reforms on total and avoidable hospitalizations in Eslam-shahr, a county in the capital of Iran.

This county has 131 villages and its rural population is approximately 49237, based on the 2006 census that was conducted one year after the implementation of reforms. Eslam-shahr has only one hospital, which is financed by the Social Security Insurance Organization (SSIO). The population under coverage of the SSIO receives hospital services free of charge. This hospital is the main place where the rural residents of Eslam-shahr County receive secondary health care services, due to its proximity to rural areas. The rural population under coverage of the SSIO does not face any financial barriers in using these hospital services. After actions were taken for the development of UHC in 2005, all rural residents had access to a rural family physician, where they would receive timely primary care, and if necessary, could be referred to the county hospital. Also, all of the rural populations were covered by the rural health insurance system; therefore those rural residents who had previously lacked SSIO coverage no longer faced financial barriers for using hospital services. It should be noted that as of 2005, parts of the rural population were covered by 2 health insurance systems, both the rural health insurance and the health social security insurance system.

Although it was not possible to identify those with dual insurance coverage in this study, we did however manage to distinguish the effect of the family physician on both avoidable and referral-sensitive hospitalization rates.

Methods

We conducted a before-after study, which is a type of quasi-experimental study. The setting of the study was Eslam-shahr. We selected Eslam-shahr county for this study due to the fact that it was the only hospital with a functioning electronic hospital information system during the time period of our study, whereas other hospitals lacked an electronic record system, and their paper medical records had been eliminated due to the expiration of their legal archival records.

We extracted the demographic characteristics of any members of the rural population that were hospitalized during the 4 years from April 2003 to April 2008 (2 years before and 2 years after the intervention) from the hospital’s electronic information system. These characteristics included their age and gender and diagnostic codes. The diagnostic codes were recorded based on ICD10. Some countries have determined a list of avoidable diagnostic codes, however in Iran there is no research-based pre-determined AHs diagnostic code list, and therefore we used data from studies conducted in other countries. We identified a list of 61 three-character and 131 four-character AHs diagnostic codes based on the literature review. These diagnostic codes are used as indicators for assessing the accessibility or effectiveness of primary health care services in Germany, England and Canada (16-18).

Results are presented using descriptive statistics. Also, the logistic regression model has been used to assess whether the probability of AHs changes following implementation of the reforms. We included gender and age as independent variables in the model and we estimated Odds ratio with a 95% confidence intervals. We conducted several diagnostic tests after development of the model. Linktest results showed no specification errors in the Logit model. Hosmer and Lemeshow statistics showed an appropriate goodness of fit, and no co-linearity among the independent variables. All analyses were carried out using STATA version 13 and SPSS version 18 software.

Results

Results showed that there were 817 rural hospitalizations before the reforms and 967 after the reforms, and total hospitalization growth after the reforms was almost 18.4%. Avoidable/total hospitalizations show a 1.3% decrease following the reforms (Table 1).

Total hospitalizations before the reforms were 242 among men and 560 among women. Following the reforms, the number of total hospitalizations among men (264 cases) was lower than among women (682 cases). Hospitalizations in both genders were often related to the referral-sensitive hospitalizations. Referral sensitive hospitalizations before and after the reforms were 230 and 252 hospitalizations, respectively, among men, and 546 and 674 cases, respectively, among women.

Before the reforms, the percentage of avoidable hospitalizations was 5.8% among men and 2.5% among women. Following the reform, this percentage dropped to 4.5% among men and 1.2% among women. Based on these results, the percentage of avoidable hospitalizations among men was higher than women, both before and after the reforms, and this percentage decreased after reforms among both genders.

Results showed that total hospitalizations were higher among the 20-40 year-old population, both before and after the interventions. The AHs in this age group were lowest throughout the study. The highest AHs occurred among those aged 1-20, before the reforms were carried out. The highest AHs were seen among the 60< year old population, following the interventions (Table 2).

The logistic regression results showed that after demographic characteristics are taken into account, the probability of AHs after the interventions was lower compared to before the interventions (OR:0.46; 95% CI; 0.24-0.88). Also, the probability of AHs in the 60< year-old age group is considerably higher compared to other age groups (p<0.05). No statistical relationship was found between AHs and gender (Table 3).

Discussion

Results showed an increase in total rural hospitalizations compared to before the interventions. Although the percentage of avoidable/total hospitalizations was low both before and after the interventions, however, we noticed a significant decrease in AHs following the reforms.

Since some rural residents had coverage by the Social Security Health Insurance before reform implementation and could therefore access hospital services without any financial barriers, this might explain the low rates of AHs witnessed before and after the interventions. However, we also saw an increase in the referral-sensitive hospitalizations (unavoidable hospitalizations) following reforms implementation, which may result from the reforms’ response to the unmet needs of the rural population.

A previous study conducted in an underserved province in Iran showed similar findings, with a significant increase in hospitalization rates one year after implementation of reforms (6). In confirmation of our results, a systematic study showed that a strong primary health system )with a greater supply of physicians and continuity of care), resulted in a decrease in Ahs (12). In the US, increased insurance coverage and programs for increasing access to primary care among children resulted in elimination of Ahs (19). In London, providing primary special diabetic services resulted in a decrease in AHs, however, this was not seen in asthma-related hospitalizations (20). Expansion of family health programs prevented AHs among children under 5 in Brazil (21).

Study of the aspects and characteristics of PHC showed results that were at times contradictory to ours. The supply and distribution of physicians had little effect on avoidable and total hospitalizations among Medicaid beneficiaries (22). In a study carried out in the US, the supply of physicians had no relation with AHs in rural areas (23). However, some studies exploring the aspects of PHC in detail showed similar results to ours. For example, 2 studies in Canada showed decreased referral to emergency departments (24) and avoidable hospitalizations (25) among those of the elderly who had continuous contact with PHC physicians.

It seems that the UHC interventions in the rural areas of Eslam-shahr affected both health care access (by increasing referral-sensitive hospitalizations) and efficiency, by decreasing AHs. Therefore,we can state that, UHC interventions may increase long-term health care costs by enforcing referral-sensitive hospital expenditures, and on the other hand, they may also decrease these costs by preventing AHs.

In the US, it has been estimated that the development of UHC resulted in increased ambulatory care sensitive hospitalization and, as a result, in increased health expenditure (26). Also, expansion of the basic insurance system in China resulted in hospitalization growth (27).

In our study, the effect of socioeconomic factors on hospitalization was not explored, and only the demographic characteristics of the rural population were considered. Results showed that there is no relation between gender and AHs. Contradictory to our results, in Brazil the effectiveness of the primary care community-based program resulted in decreased AHs for diabetes and pulmonary diseases, with this effect being greater among women (28). In our study, AHs were statistically related to age, with rates being higher among the 60< age group. It seems that this could be due to the higher rates of chronic diseases in this age group, since the diagnosis of these diseases falls under the category of AHs.

Our study strength is in the use of the before-after design in measuring the program effects. Also, we determined the reform effects on both avoidable and referral-sensitive hospitalizations. This gives policymakers a comprehensive picture of the effect of the reforms on both access and efficiency. However, our study had some limitations. One was the lack of a control group to ensure that other interventions had not affected the intervention group or rural population hospitalization. Another was conducting the study at the county level. The characteristics of the rural population, especially the access of a number of people to another insurance service means that our results cannot be generalized to other counties in Iran. Also, we were unable to measure the effect of factors such as the socio-economic characteristics of the rural population –those of which were using hospital services - or their initial health status, since we had no access to these data. Despite these limitations, our study results provide a good basis for future studies aiming to assess reform effects, in relation with the contextual characteristics of rural areas in each county.

Conclusion

The family physician program and expansion of health insurance may have a mixed effect on hospitalization. On the one hand, it could result in increased hospitalizations due to the identification of and response to the unmet needs of the population, and on the other hand it could decrease AHs and eliminate the costs imposed by them upon the health system.

Acknowledgments

We would like to thank the head of research at the Tehran University of Medical Sciences for funding this study. We also thank the manager and personnel of the medical records department of Imam Reza Hospital in Eslam-shahr. This research was supported by Tehran University of Medical Sciences and provided with a health services grant (NO.30317). This article was extracted from the doctoral thesis of the first author.

Conflict of Interests

The authors declare that they have no competing interests.

Notes

Cite this article as: Salavati S, Rashidian A, Emamgholipour S, Varahrami V. The impact of rural health insurance and the family physician program on hospitalizations, a before-after study at the county level conducted in Tehran province, Iran. Med J Islam Repub Iran. 2018(18 Apr);32:32. https://doi.org/10.14196/mjiri.32.32

References