COVID-19 Reinfection Rate and Related Risk Factors in Fars Province, Iran: A Retrospective Cohort Study.

Background: Reinfection with Coronavirus Diseases 2019 (COVID-19) has raised remarkable public health concerns globally. Therefore, the present retrospective cohort study intended to investigate COVID-19 reinfection in registered patients of Fars province in Iran from February 2020 to April 2021. Methods: The patients' data, including the COVID-19 infection, symptoms, comorbidities, and demographics, were collected using the Health Information Systems (HISs). The patients were divided into three groups in terms of the duration between the initial infection and reinfection, including 28-44, 45-89, and more than 90 days. Following the univariate analysis, logistic regression was used to investigate the factors effective on COVID-19 reinfection. Results: A total of 213768 patients had a positive Polymerase Chain Reaction (PCR) test. The reinfection rate was 0.97% (2079 patients). Of these re-infected individuals, 14.9%, 18.5%, and 66.6% had their second positive test 28-45, 45-89, and ≥90 days later, respectively. The mean duration between the initial infection and reinfection was 130.56 days (29-370 days). The chance of reinfection was significantly higher in the youths (Odds Ratio (OR)=2.055; P<0.001), men (OR=1.283; P<0.001), urban population (OR=1.313; P<0.001), and healthcare providers (OR=4.453; P<0.001). The patients with chronic pulmonary diseases, chronic kidney diseases, and malignancy were 1.421 (P=0.036), 2.239 (P<0.001), and 3.437 (P<0.001) times, respectively, more likely prone to reinfection. Conclusion: The results of this study showed that there is a higher risk of reinfection in several vulnerable groups including healthcare providers, young individuals, residents of urban areas, men, and individuals with underlying diseases.

Pharmacies' income and its effective factors in Iran: A cross-sectional study.

Purpose: Financial assessment of pharmacies and the factors affecting it is an important issue in health system and pharmaceutical industry. The present study aimed to analyze the revenue of pharmacies in Iran and the factors affecting it. Methods: In the present study revenue data of all active pharmacies in Shiraz in 2018 (n = 298) were gathered using a checklist. Descriptive statistics, mean difference test, correlation, and regression analysis were performed for statistical evaluation. Heteroskedasticity and multicollinearity also were checked. Stata 15 was used for statistical analysis. Results: Average monthly income of the pharmacies was $82,879 USD (SD = 30,635). The monthly revenue of 24 h pharmacies was about $6560 higher than that of the daily pharmacies. The pharmacies founded by non-pharmacists made about $44,038 more than others, and the pharmacies located on main streets earned over $84,247 more than the ones located on side streets. Besides, the pharmacies inside or near hospitals, clinics, or physician buildings made more money than others. Correlation analysis also showed that the pharmacies' working years, the number of adjacent pharmacies, the number of OTC prescriptions, and the number of staff working at the cosmetics counters had a positive relationship with the pharmacies' income. Conclusions: Final findings indicated that 24 h pharmacies, pharmacies located on main streets, the ones located in hospitals or private clinics and physician buildings, pharmacies with more OTC prescriptions, and the ones with a larger number of employees in the cosmetics departments had higher monthly revenues.

Utilization and cost of outpatient services: A cross-sectional study on the Iran Health Insurance Organization insurees in Fars province.

Background and Aims: Analyzing the utilization of health services is necessary for allocating the resources and planning the provision of health services. The present study aimed at investigating the utilization and cost of outpatient services and the factors affecting it among the insurees of the Iran Health Insurance Organization in Fars province in 2019. Methods: The study population consisted of all Iran Health Insurance Organization insurees in Fars province in 2019 (n = 2,618,973). The data on the utilization and cost of the services were extracted from the information systems of Fars Health Insurance Organization. The descriptive statistics of the utilization and cost of outpatient services were provided by gender, age, and type of insurance fund. The effects of different factors on the utilization and cost of various services were also investigated using univariate analysis as well as cross-sectional regression. The data analysis was done using EXCEL and STATA 15 software as well. Results: The average utilization rates of laboratory, drug, and radiology services were 0.940, 0.945, and 0.108 prescriptions per year, respectively. In addition, the mean costs of laboratory, drug, and radiology services were $1.13, $7.44, and $2.26 per year, respectively. The univariate and multivariate analyses showed that gender, type of insurance fund, and age had significant effects on the utilization and costs of laboratory, drug, and radiology services (p < 0.05). Conclusion: The utilization and expenditure of outpatient services were higher among the elderly and women. To control the costs of insurance organizations, it is helpful to identify the effective factors. In addition, due to the increasing trend of aging in Iran, it seems necessary to periodically monitor the pattern of the elderly people's utilization of health services and to plan to increase sustainable resources for insurance financing in the coming years.

Global socioeconomic inequality in the burden of communicable and non-communicable diseases and injuries: an analysis on global burden of disease study 2019.

BACKGROUND: Examining the distribution of the burden of different communicable and non-communicable diseases and injuries worldwide can present proper evidence to global policymakers to deal with health inequality. The present study aimed to determine socioeconomic inequality in the burden of 25 groups of diseases between countries around the world in 2019. METHODS: In the current study data according to 204 countries in the world was gathered from the Human Development Report and the Global Burden of Diseases study. Variables referring to incidence, prevalence, years of life lost (YLL), years lived with disability (YLD) and disability adjusted life years (DALY) resulting by 25 groups of diseases and injuries also human development index was applied for the analysis. For measurement of socioeconomic inequality, concentration index (CI) and curve was applied. CI is considered as one of the popular measures for inequality measurement. It ranges from - 1 to + 1. A positive value implies that a variable is concentrated among the higher socioeconomic status population and vice versa. RESULTS: The findings showed that CI of the incidence, prevalence, YLL, YLD and DALY for all causes were - 0.0255, - 0.0035, - 0.1773, 0.0718 and - 0.0973, respectively. CI for total Communicable, Maternal, Neonatal, and Nutritional Diseases (CMNNDs) incidence, prevalence, YLL, YLD and DALY were estimated as - 0.0495, - 0.1355, - 0.5585, - 0.2801 and - 0.5203, respectively. Moreover, estimates indicated that CIs of incidence, prevalence, YLL, YLD and DALY for Non-Communicable Diseases (NCDs) were 0.1488, 0.1218, 0.1552, 0.1847 and 0.1669, respectively. Regarding injuries, the CIs of incidence, prevalence, YLL, YLD and DALY were determined as 0.0212, 0.1364, - 0.1605, 0.1146 and 0.3316, respectively. In the CMNNDs group, highest and lowest CI of DALY were related to the respiratory infections and tuberculosis (- 0.4291) and neglected tropical diseases and malaria (- 0.6872). Regarding NCDs, the highest and lowest CI for DALY is determined for neoplasms (0.3192) and other NCDs (- 0.0784). Moreover, the maximum and minimum of CI of DALY for injuries group were related to the transport injuries (0.0421) and unintentional injuries (- 0.0297). CONCLUSIONS: The distribution of all-causes and CMNNDs burden were more concentrated in low-HDI countries and there are pro-poor inequality. However, there is a pro-rich inequality for NCDs' burden i.e. it was concentrated in high-HDI countries. On the other hand, the concentration of DALY, YLD, prevalence, and incidence in injuries was observed in the countries with higher HDI, while YLL was concentrated in low-HDI countries.

Economic Viability and Efficacy of Day Case Versus Inpatient Tonsillectomy in Southern Iran.

OBJECTIVES: Day case tonsillectomy compared with inpatient tonsillectomy has increasingly become a trend for many patients undergoing elective surgeries. Unjustified stays of tonsillectomy can be avoided by day case surgery, which consequently reduces treatment costs. The aim of this study was therefore to determine the cost and effectiveness of day case tonsillectomy compared with inpatient tonsillectomy. METHODS: This cost-effectiveness study was performed on 300 patients from May 2017 to April 2018. Patients were randomly divided into 2 groups: day case (n = 150) and inpatient (n = 150). Consequences used in model included incidence of bleeding, blood transfusion, and reoperation frequency within 2 weeks after surgery and also the patients' pain during 24 hours after surgery. Costs were collected from societal perspective, so the costs included direct medical and nonmedical costs as well as indirect costs. One-way sensitivity analysis was conducted to measure the uncertainty effects of the parameters. The collected data were analyzed using software TreeAge and Excel 2016. RESULTS: Day case tonsillectomy was more cost-effective than inpatient. Mean total costs in day case and inpatient were $915.1 and $1227.9, respectively. Besides, the mean effectiveness was 0.921 and 0.914 percent, respectively. Also, 1-way sensitivity analysis proved the robustness of the results of study. CONCLUSIONS: Day case tonsillectomy is a cost-effective strategy and can be suggested as a good alternative for a wide range of patients after tonsillectomy. Supporting day case surgery for tonsillectomy cases can significantly reduce the financial burden.

Factors affecting hospital mortality rate in Iran: a panel data analysis.

OBJECTIVE: Hospital deaths account for a large number of community deaths. Moreover, one of the main indicators of inpatient services quality is the hospital death. This study was performed to investigate the factors affecting hospital death rate in Iran using panel data analysis. RESULTS: The net death rates in teaching and not-teaching hospitals were 6.24 and 5.58 per 1000 patients, respectively. Models' estimates showed, in teaching hospitals the number of surgeries (P < 0.05) and special beds (P < 0.01) had a significant positive relationship with death rate. In non-teaching hospitals, outpatient admissions (P < 0.01), number of surgeries (P < 0.05), number of special beds (P < 0.01), and length of stay (P < 0.01) had a positive and the number of inpatient admissions (P < 0.05) and active beds (P < 0.01) had a negative relationship with death rate. Policy-making towards optimization of hospital service size and volume, standardization of length of stay, interventions to control nosocomial infections, and planning to control the complications of surgeries and anesthesia could effectively reduce hospital death rate.