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Purpose Equal distribution of health human resources is a major issue to achieve human rights in healthcare. Rural family physicians (RFPs) as a part of health human resources play an important role in delivering health services, so the purpose of this paper is to calculate amount of inequity in distribution of RFPs in Iran. Design/methodology/approach In this study, the authors tried to find inequity in the distribution of RFPs in the provinces of Iran. For this purpose, inequity indices containing concentration curves and indices were calculated by ranking health-adjusted life expectancy (HALE). Furthermore, a regression model was estimated to find the pattern and influencing factors of inequity in the distribution of RFPs. Findings The number of male RFPs was significantly higher in Sistan va Baloochestan, and in the same line, the number of female RFPs was higher in Zanjan province. Concentration index of total RFPs was 0.0568 (not significant) (males= 0.041, females= 0.0718). The results of regression model showed that HALE and per capita GDP did not have any significant relationship with RFPs distribution (HALE p=0.753, GDP p=0.792). Originality/value The RFP plan was successful in enhancing equal access to physician and health care services relatively. However, gender imbalance in distribution of RFPs was high especially in less-developed regions.

Background: Reliable estimation of prevalence is important for monitoring and evaluation of COVID-19 prevention programmes among at-risk populations. Aims: We compared the capture–recapture method with a seroprevalence survey for accurate estimation of the prevalence of COVID-19 during a 1-year period in Guilan Province, northern Islamic Republic of Iran. Methods: We used the capture–recapture method to estimate the prevalence of COVID-19. Records from the primary care registry system and the Medical Care Monitoring Center were compared, using 4 matching approaches based on combinations of the following variables: name, age, gender, date of death, positive or negative cases, and alive or dead cases. Results: The estimated prevalence of COVID-19 in the study population from the beginning of the pandemic in February 2020 until the end of January 2021 was 16.2–19.8%, depending on the matching approach used. This was lower than in previous studies. Conclusion: The capture–recapture method may provide better accuracy than seroprevalence surveys in measuring the prevalence of COVID-19. It may also reduce the bias in the estimation of prevalence and correct the misconception of policymakers about seroprevalence survey results.