The COVID-19 pandemic and healthcare utilization in Iran: evidence from an interrupted time series analysis

Objectives@#This study aimed to examine the effect of the coronavirus disease 2019 (COVID-19) outbreak on the hospitalization rate, emergency department (ED) visits, and outpatient clinic visits in western Iran. @*Methods@#We collected data on the monthly hospitalization rate, rate of patients referred to the ED, and rate of patients referred to outpatient clinics for a period of 40 months (23 months before and 17 months after the COVID-19 outbreak in Iran) from all 7 public hospitals in the city of Kermanshah. An interrupted time series analysis was conducted to examine the impact of COVID-19 on the outcome variables in this study. @*Results@#A statistically significant decrease of 38.11 hospitalizations per 10,000 population (95% confidence interval [CI], 24.93–51.29) was observed in the first month of the COVID-19 outbreak. The corresponding reductions in ED visits and outpatient visits per 10,000 population were 191.65 (95% CI, 166.63–216.66) and 168.57 (95% CI, 126.41–210.73), respectively. After the initial reduction, significant monthly increases in the hospitalization rate (an increase of 1.81 per 10,000 population), ED visits (an increase of 2.16 per 10,000 population), and outpatient clinic visits (an increase of 5.77 per 10,000 population) were observed during the COVID-19 pandemic. @*Conclusion@#Our study showed that the utilization of outpatient and inpatient services in hospitals and clinics significantly declined after the COVID-19 outbreak, and use of these services did not return to pre-outbreak levels as of June 2021.

Self-reported health-related quality of life (HRQoL) and factors affecting HRQoL among individuals with health insurance in Iran / 한국역학회지

OBJECTIVES: The aim of this study was to measure the health-related quality of life (HRQoL) and to evaluate the factors affecting HRQoL in individuals with health insurance in Tehran, Iran. METHODS: A cross-sectional analytical study was conducted using the 3-level EuroQol 5-dimensions (EQ-5D) questionnaire. In order to estimate the determinants of HRQoL, information about participants’ demographic, socioeconomic, and health status was gathered. The cluster sampling technique was used to collect data from May to June, 2016. The chi-square test and weighted least squares method were employed for data analysis. Data were analyzed using Stata version 11.0. RESULTS: A total of 600 Iranians with insurance completed the study, of whom 327 (54.5%) were male and 273 (45.5%) were female. The mean age of the participants was 41.48 years (standard deviation [SD], 14.60 years). Meanwhile, the mean duration of education was 12.36 years (SD, 4.68 years). The mean EQ-5D score was 0.74 (SD, 0.16). The most common health problems in the participants were anxiety/depression (42.3%), followed by pain/discomfort (39.2%). Sex, age, years of schooling, income, chronic disease, and body mass index had a significant effect on HRQoL (p<0.05). Healthy insured individuals, on average, had a HRQoL score 0.119 higher than that of people with a chronic disease, all else being equal (p<0.001). CONCLUSIONS: Among all determinants of HRQoL, chronic disease was found to be the highest priority for interventions to improve the health status of Iranians with insurance. This finding can help policymakers and health insurance organizations improve their planning to promote the HRQoL of individuals with insurance and society as a whole in Iran.

Assessing the accessibility and degree of development in health care resources: evidence from the West of Iran

Introduction: health care is one of the most important sectors in the development of each country and disparities in their distribution will reduce the level of development. The aim of this study was to examine the access to healthcare and degree of development in health care resources in the west of Iran in 2011

Method: this was a cross-sectional and retrospective study. The study setting was 51 cities of five western provinces of Iran, including Kermanshah, Kurdistan, Ilam, Lorestan and Hamadan. For assessing these towns in terms of the degree of development in healthcare resources by the numerical taxonomy technique, 23 indicators of health resources were selected and obtained from the statistics yearbook. The data was analyzed by EXCEL software

Results: our study showed that the highest and lowest access to health care based on numerical taxonomy belonged to cities of Kermanshah [0.61] and Salas Babajani [1.07]. Also, most towns of Ilam, Lorestan and Kurdistan provinces are underdeveloped and developing, while the most towns of Kermanshah and Hamadan provinces were placed in the developed region

Conclusion: this study showed that there was a large gap between the cities of one province and also among the provinces in terms of the access to and degree of development in health care resources. Therefore, it is suggested that a higher priority in terms of health resource allocation should be placed on the developing and underdeveloped areas in order to reduce these disparities