Excess Deaths During the COVID-19 Pandemic in Southern Iran: Estimating the Absolute Count and Relative Risk Using Ecological Data.

OBJECTIVES: The coronavirus disease 2019 (COVID-19) pandemic led to increased mortality rates. To assess this impact, this ecological study aimed to estimate the excess death counts in southern Iran. METHODS: The study obtained weekly death counts by linking the National Death Registry and Medical Care Monitoring Center repositories. The P-score was initially estimated using a simple method that involved calculating the difference between the observed and expected death counts. The interrupted time series analysis was then used to calculate the mean relative risk (RR) of death during the first year of the pandemic. RESULTS: Our study found that there were 5571 excess deaths from all causes (P-score=33.29%) during the first year of the COVID-19 pandemic, with 48.03% of these deaths directly related to COVID-19. The pandemic was found to increase the risk of death from all causes (RR, 1.26; 95% confidence interval [CI], 1.19 to 1.33), as well as in specific age groups such as those aged 35-49 (RR, 1.21; 95% CI, 1.12 to 1.32), 50-64 (RR, 1.38; 95% CI, 1.28 to 1.49), and ≥65 (RR, 1.29; 95% CI, 1.12 to 1.32) years old. Furthermore, there was an increased risk of death from cardiovascular diseases (RR, 1.17; 95% CI, 1.11 to 1.22). CONCLUSIONS: There was a 26% increase in the death count in southern Iran during the COVID-19 pandemic. More than half of these excess deaths were not directly related to COVID-19, but rather other causes, with cardiovascular diseases being a major contributor.

Requirements for improving social capital among faculty members of medical universities: A multicenter qualitative study.

Introduction: Social capital is critical to organizational dynamics, particularly in developing countries. This study explored strategies for enhancing social capital among faculty members at seven medical universities in the south of Iran. Methods: This qualitative study was conducted in 2021. We used a purposeful sampling technique to recruit faculty members and conducted individual semi-structured interviews with them. Thematic analysis was used to analyze and describe the collected data. Results: A total of 49 faculty members (34 males; 15 females) participated in this study. The participants expressed satisfaction with their affiliations with medical universities. Social capital was related to the feeling of belonging to the organization, as well as to interpersonal and intra-organizational relations. Social capital was associated with three components: empowerment, organizational policy change, and organizational identification. Additionally, a dynamic relationship between the individual, interpersonal, and macro-organizational levels reinforced the organization's social capital. This means that, just as the macro-organizational level affects the members' identities, the members' activism affects the macro-organizational level. Conclusion: To strengthen the organization's social capital, managers should work on the mentioned components at the individual, interpersonal, and macro-organizational levels.

What do hospital doctors and nurses think wastes their time?

OBJECTIVE: With regard to limitation in national budget, the relevant authorities of healthcare and treatment throughout the globe are seeking the use of available resources in a way that no wastage of money or time-which is, of course, convertible to money-is acceptable. This study sought the opinions of hospital doctors and nurses on those activities at work that wasted their time. METHODS: A questionnaire designed to identify activities that waste time during hospital care was completed based on the review of previous studies and including hospital wastes items. The authors designed a questionnaire, which was filled out by 209 nurses and 30 doctors in the surgery wards in hospitals affiliated to Shiraz University of Medical Sciences (SUMS). The items for time wasting activities were extracted from previous studies, and the reliability of the questionnaire was more than 0.785 using Cronbach's alpha. The response rate was more than 60%. RESULTS: The mean age of the participating nurses and doctors was 30.24 ± 6.85 and 32.77 ± 7.05 years. In all aspects, more time was wasted during the morning and evening shifts in comparison with the night shifts. The activity that was thought to waste time in hospital care the most was paper-based documentation. Preventable wasted time during the shift was 16%-30% in the nurses' view and 18%-34% in the doctors' view. For both nurses and doctors, the highest-rated preventable wasted time was related to time spent waiting in ward for lab data responses, transfer of patients, or delivery of care. CONCLUSION: Hospital working environment is complex, and opportunities for improvement of the efficiency of the nurses' and doctors' workload should be analyzed, case by case, in each hospital and work group. Process change (for the decrease in the wasted time for waiting in wards), simple innovative ways (for the decrease in the wasted time for searching the needed equipment), using hospital information system technology for documentation, communication, and the better design of the wards (to decrease the wasted time due to transfer between the ward and restroom) could be helpful for improving efficiency and for a safer and acceptable delivery of care.

Equity analysis of hospital beds distribution in Shiraz, Iran 2014.

BACKGROUND: One of the important aspects of equity in health is equality in the distribution of resources in this sector. The present study aimed to assess the distribution of hospital beds in Shiraz in 2014. METHODS: In this retrospective cross-sectional study, the population density index and fair distribution of beds were analyzed by Lorenz curve and Gini coefficient, respectively. Descriptive data were analyzed using Excel software. We used Distributive Analysis Stata Package (DASP) in STATA software, version 12, for computing Gini coefficient and drawing Lorenz curve. RESULTS: The Gini coefficient was 0.68 in the population. Besides, Gini coefficient of hospital beds' distribution based on population density was 0.70, which represented inequality in the distribution of hospital bedsamong the nine regions of Shiraz. CONCLUSION: Although the total number of hospital beds was reasonable in Shiraz, distribution of these resources was not fair, and inequality was observed in their distribution among the nine regions of Shiraz.

Developing a household survey tool for health equity: A practical guide in Islamic Republic of Iran.

BACKGROUND: An obvious gradient in health outcomes has been implicated in many evidences relating to social and economic factors. Proper data are requested to convince policy-makers calling for intersectoral action for health. Recently, I.R. of Iran has come up with 52 health equity indicators to monitor health equity through the country. Conducting regular surveys on 14 out of 52 national health equity indicators is needed to provide a basis for the health inequality analysis through the country. We aimed to introduce a survey tool and its related protocols on health equity indicators. METHODS: This study was conducted through addressing the literature and expertise of health and demographic surveys at the national and international levels. Also, we conducted technical and consultative committee meetings, a final consensus workshop and a pilot study to finalize the survey tool. RESULTS: We defined the study design, sampling method, reliable questionnaires and instructions, data collection and supervision procedure. We also defined the data analysis protocol on health equity indicators, generated from non-routine data. CONCLUSION: A valid and reliable tool, which could be employed at the national and sub-national levels, was designed to measure health equity in Iran. Policy-makers can use this survey tool to generate useful information and evidence to design appropriate required intervention and reduce health inequality across the country.

The financing of the health system in the Islamic Republic of Iran: A National Health Account (NHA) approach.

BACKGROUND: The National Health Accounts keep track of all healthcare related activities from the beginning (i.e. resource provision), to the end (i.e. service provision). This study was conducted to address following questions: How is the Iranian health system funded? Who distribute the funds? For what services are the funds spent on?, What service providers receive the funds? METHODS: The required study data were collected through a number of methods. The family health expenditure data was obtained through a cross sectional multistage (seasonal) survey; while library and field study was used to collect the registered data. The collected data fell into the following three categories: the household health expenditure (the sample size: 10200 urban households and 6800 rural households-four rounds of questioning), financial agents data, the medical universities financial performance data. RESULTS: The total health expenditure of the Iranian households was 201,496,172 million Rials in 2008, which showed a 34.4% increase when compared to 2007. The share of the total health expenditure was 6.2% of the GDP. The share of the public sector showed a decreasing trend between 2003-2008 while the share of the private sector, of which 95.77% was paid by households, had an increasing trend within the same period. The percent of out of pocket expenditure was 53.79% of the total health expenditure. The total health expenditure per capita was US$ 284.00 based on the official US$ exchange rate and US$ 683.1 based on the international US$ exchange rate.( exchange rate: 1$=9988 Rial). CONCLUSION: The share of the public and private sectors in financing the health system was imbalanced and did not meet the international standards. The public share of the total health expenditures has increased in the recent years despite the 4th and 5th Development Plans. The inclusion of household health insurance fees and other service related expenses increases the public contribution to 73% of the total.

Iran's Multiple Indicator Demographic and Health Survey - 2010: Study Protocol.

BACKGROUND: There is an international emphasis on providing timely and high quality data to monitor progress of countries toward Millennium Development Goals. Iran's Multiple Indicator Demographic and Health Survey (IrMIDHS) aimed to provide valid information on population and health outcomes to monitor progress in achieving national priorities and health programs and to assist policy makers to design effective strategies for improving health outcomes and equity in access to care. METHODS: A cross-sectional multi-stage stratified cluster-random survey is conducted through face-to-face household interviews. The sampling frame is developed using Iran's 2006 population and housing census. Provincial samples ranging are from a minimum of 400 households per province to 6400 households in Tehran province. Cluster size is 10 households. The target sample includes 3096 clusters: 2187 clusters in urban and 909 clusters in rural areas. IrMIDHS instruments include three questionnaires: Household questionnaire, women aged 15-54 questionnaire, children under five questionnaire, supervision and quality assessment checklists and data collection sheets and standard weight and height measurement tools for under-five children. A cascading decentralized training method is used for training data collection and supervision teams. Quality assurance procedures are defined for the five steps of conducting the survey including: Sampling, training data collection and training teams, survey implementation, data entry and analysis. A multi-layer supervision and monitoring procedure is established. All the questionnaires are double entered. CONCLUSIONS: IrMIDHS will provide valuable data for policymakers in Iran. Designing and implementation of the study involve contributions from academics as well as program managers and policy makers. The collaborative nature of the study may facilitate better usage of its results.