Estimating the Costs of End-of-Life Care in Patients With Advanced Cancer From the Perspective of an Insurance Organization: A Cross-Sectional Study in Iran.

OBJECTIVES: Cancers are significant medical conditions that contribute to the rising costs of healthcare systems and chronic diseases. This study aimed to estimate the average costs of medical services provided to patients with advanced cancers at the end of life (EOL). METHODS: We analyzed data from the Sata insurance claim database and the Health Information System of Baqiyatallah hospital in Iran. The study included all adult decedents who had advanced cancer without comorbidities, died between March 2020 and September 2020, and had a history of hospitalization in the hospital. We calculated the average total cost of healthcare services per patient during the EOL period, including both cancer-related and noncancer-related costs. RESULTS: A total of 220 patients met the inclusion criteria. The average duration of the EOL period for these patients was 178 days, with an average total cost of $8278 (SD $5698) for men and $9396 (SD $6593) for women. Cancer-related costs accounted for 64.42% of the total costs, including inpatient and outpatient services. Among these costs, hospitalization was the primary cost driver and had the greatest impact on EOL costs. This observation was supported by the multiple linear regression model, which suggested that hospitalization in the final days of life could potentially drive costs in these patients. Notably, no specialized palliative care was provided to the patients included in this study. CONCLUSIONS: The results demonstrate that there is a significant rise in costs of care in patients receiving routine cancer care rather than optimized EOL care.

Social disparities and inequalities in healthcare access and expenditures among Iranians exposed to sulfur mustard: a national study using spatio-temporal analysis.

BACKGROUND: Sulfur Mustard (SM) is a chemical warfare agent that has serious short-term and long-term effects on health. Thousands of Iranians were exposed to SM during the eight-year Iran-Iraq conflict and permanently injured while the socioeconomic imbalance in their healthcare utilization (HCU) and health expenditures remains. This study aims to describe the HCU of SM-exposed survivors in Iran from 2018 to 2021; identify high-risk areas; and apply an inequality analysis of utilization regarding the socioeconomic groups to reduce the gap by controlling crucial determinants. METHODS: From Oct 2018 to June 2021, the Veterans and Martyrs Affairs Foundation (VMAF) recorded 58,888 living war survivors with eye, lung, and skin ailments. After cleaning the dataset and removing junk codes, we defined 11 HCU-related variables and predicted the HCU for the upcoming years using Bayesian spatio-temporal models. We explored the association of individual-level HCU and determinants using a Zero-inflated Poisson (ZIP) model and also investigated the provincial hotspots using Local Moran's I. RESULTS: With ≥ 90% confidence, we discovered eleven HCU clusters in Iran. We discovered that the expected number of HCU 1) rises with increasing age, severity of complications in survivors' eyes and lungs, wealth index (WI), life expectancy (LE), and hospital beds ratio; and 2) decreases with growing skin complications, years of schooling (YOS), urbanization, number of hospital beds, length of stay (LOS) in bed, and bed occupancy rate (BOR). The concentration index (CInd) of HCU and associated costs in age and wealth groups were all positive, however, the signs of CInd values for HCU and total cost in YOS, urbanization, LOS, and Hospital beds ratio groups were not identical. CONCLUSIONS: We observed a tendency of pro-rich inequity and also higher HCU and expenditures for the elderly population. Finally, health policies should tackle potential socioeconomic inequities to reduce HCU gaps in the SM-exposed population. Also, policymakers should allocate the resources according to the hotspots of HCU.

Assessment and Reduction of Human Error using SHERPA Technique in Chemotherapy Department of a Large Military Hospital.

Background: Medical errors are numerous in medical activities. Considering the sensitivity and importance of the medical group's professions, the emergence of an apparently simple error can cause the death of an individual or even a group of individuals. The present study aims the evaluation and reduction of human error using a system human error reduction and prediction approach System Human Error Reduction and Prediction Approach (SHERPA) in the nurses of Baqiyatallah hospital's chemotherapy ward in 2019. Materials and Methods: A cross-sectional study was conducted in the chemotherapy ward using the SHERPA technique. Then, the duties were determined in detail using Hierarchical Task Analysis (HTA). The errors were identified using the SHERPA checklist, and the risk outcomes and intensities were finally evaluated. Results: Based on the study findings, there are 109 possible errors for 48 sub-duties. The most frequent errors fall in the functional area (54%) and the least frequent errors pertain to the area of selection (3%). Conclusions: In order to reduce the errors and increase the quality of the services and safety of the patients, errors can be identified by using the SHERPA technique; after identifying these errors, using this technique, it is possible to prevent the recurrence of the identified errors by careful planning. Considering the fact that the most frequent error was found in the functional domain, modern protocols can be codified in this area, and standards can be observed for putting the problems of this section atop of the priority list and reducing the errors and increasing safety of the patients.

Providing a model for financing the treatment costs during biological crises using the fiscal space development approach.

BACKGROUND: Expanding fiscal space for health can be defined as providing additional budgetary resources for health, which is highly important during biological crises. This study aimed to provide a model for financing the treatment costs during biological crises using the development of the fiscal space approach. METHODS: This study employed a descriptive mixed-method design, consisting of three stages. In the first stage, a systematic review of relevant literature was conducted using multiple databases, including Scopus, PubMed, and Google Scholar. A total of 45 studies that met the inclusion criteria were selected. In the second stage, a panel of 14 experts identified five primary and 32 secondary strategies using an open questionnaire. Any additional strategies not identified during the literature review were added if a consensus was reached by experts. In the final stage, the Best Worst Method (BWM) was used to prioritize the identified strategies and sub-strategies based on their feasibility, effectiveness, quick yield, and fairness. RESULTS: Five strategies and fifty sub-strategies were identified. The most important strategies were the increase in health sector-specific resources (0.3889), increase in efficiency of health expenditures (0.2778), structural reforms (0.1111), health sector-specific grants and foreign aid (0.1667), and conducive macroeconomic conditions (0.05556). The most important sub-strategies were establishing and increasing earmarked taxes for the health sector (0.0140), expanding Universal Health Coverage (UHC) plans (0.0103), attracting the participation of non-governmental organizations (NGOs) and charitable organizations in the health sector (0.0096), integrating basic social insurance funds (0.0934), and tax exemptions for economic activists in the health sector (0.009303) during the crisis. CONCLUSION: This study identified five main strategies and 50 sub-strategies for financing the treatment costs during biological crises. The most important strategies were increasing health sector-specific resources, improving efficiency of health expenditures, and implementing structural reforms. To finance health expenditures, harmful and luxury goods taxes can be increased and allocated to the health sector during crises. UHC plans should be improved and expanded, and the capacity of NGOs and charitable organizations should be better utilized during crises.

Using Relative and Absolute Measures for Socioeconomic Inequalities in Health: Experiences from a Retrospective Cohort Study on COVID-19.

Background: One approach to reducing the burden of diseases can be to identify socioeconomically vulnerable groups. We aimed to estimate the socioeconomic inequality of in-hospital deaths using relative and absolute indices of socioeconomic inequality. Methods: In this retrospective cohort study on Covid-19 patients; age, gender, marital status, education level, date of admission, diagnostic method, and final condition were measured. Socioeconomic inequality in inhospital death was assessed using three approaches. We used the relative index of inequality (RII) to measure relative inequality. We used two approaches to evaluate absolute inequality: the slope index of inequality (SII) and the concentration index (ci). Results: Overall, 587 patients' data were collected and 42 (7.2%) of these patients died in the hospital. There were statistically significant differences between the case-fatality rates of different levels of education (P<0.001). In addition, all the inequality indices showed that the distribution of COVID-19-related deaths was higher among the lower education levels. Accordingly, after controlling the effect of age, gender, and comorbidities the RII indicated that the case fatality rate in the lowest education level was 9.42 (95% CI: 2.23 to 39.01, P<0.001) times compared to the case fatality rate in the highest level of education. Conclusion: The results of all three approaches indicate considerable education inequality in CFR in favor of groups of high education levels. These results can improve the prioritization and impact of public health interventions, including prevention and diagnosis of Covid-19 in favor of vulnerable groups.

A study of factors affecting the length of hospital stay (LOS) of COVID-19 patients: A qualitative evidence in Iranian hospital.

BACKGROUND: The present study aimed to identify the administrators' and physicians' experiences and viewpoints about the factors affecting the length of stay (LOS) of COVID-19 patients and provide valid operational evidence. MATERIALS AND METHODS: The current study was carried out qualitatively and phenomenologically on experts, officials, and administrators of hospitals in 2021. Purposeful sampling was performed with the maximum diversity. To achieve a comprehensive view, snowball sampling was conducted. Twenty-one experts in the field of healthcare and emerging diseases participated in this study. Semi-structured interviews were used to collect the data. The study sites were universities of medical sciences and hospitals of the Ministry of Health of Iran. The interview questions included questions about the factors affecting the LOS and strategies for controlling the LOS of COVID-19 patients in infectious units. Text analysis was performed through the content analysis method in MAXQDA-10 software. RESULTS: Based on the experts' viewpoints, several factors affected the LOS in COVID-19 patients. These factors were divided into five clinical, preclinical, economic, social, and management subcategories. The proposed solutions included policy solutions (supportive policies, development of home care services, training and culture building, and establishment of clinical guidelines) and operational solutions (drug management, promotion of equipment and facilities, telehealth or telemedicine services, and promotion of clinical and support processes). CONCLUSION: One of the main tasks of hospital administrators is identifying the factors affecting the reduction of LOS. Among these factors, clinical and management factors in the hospital are more important and need more planning and attention by hospital officials.

Healthcare Utilization and Expenditures among Iranian Chemical Warfare Survivors Exposed to Sulfur Mustard.

BACKGROUND: This study aims to explore the healthcare utilization (HCU) and expenditures from complementary health insurance among Iranian people who survived sulfur mustard (SM) exposure during the Iran-Iraq war. METHODS: This study was conducted between March 21, 2018 and March 21, 2019 using secondary data. Data on the HCU and expenditure of war survivors after their exposure to SM were obtained from the Iran Veterans and Martyr Affair Foundation (VMAF) database and the national complementary insurance organization that covers their medical expenses. Multiple linear and zero-inflated poison regression (ZIP) models were used to estimate the costs and HCU. Analyses were performed in R software version 3.6.3. RESULTS: Among 58880 survivors who were included in study, 36383 (61.7%) used at least one service during a year. The total frequency of HCU was 15.6 services per person per year. The annual mean medical cost of each survivor was US$807.6 (±2901.2). The highest number of utilizations was related to medicine and physician visits. The highest median cost was related to rehabilitation (US$151.7), medical equipment (US$84.5), medicine (US$83.3) and inpatient services (US$ 48.8). With increasing age, disability, weight, severity of injury in lung or eye injuries, the rate of health service utilization rose significantly. CONCLUSION: Over 30 years after the Iran-Iraq war, Iranian people who were exposed to SM and survived still suffer from injuries and pose a significant drain on healthcare resources.

Inequality in dental expenditures among Iranian households: A cross-sectional survey using the National Health Accounts.

BACKGROUND: Recently, inequality in dental care has become increasingly popular in both developed and developing countries as a matter of health policy. Thus, the aims of this study were examining inequality in dental care expenditures and assessing the effects of insurance coverage and other variables on these services. MATERIALS AND METHODS: In this cross-sectional and descriptive-analytical study, we used secondary data of the National Health Accounts that has been conducted in 2008 in Iran. The sample size was 17,239 households in all over the country. All analyses were performed by Stata software using Mann-Whitney test and logistic regression. P < 0.05 was considered statistically significant. To determine inequality in dental services, the concentration index (CI) was used. RESULTS: CI for total dental expenditures was 0.315 and for orthodontics was 0.6. Findings showed that out-of-pocket expenditure for dental care was progressive and there was a significant relationship between total dental expenditure with residence areas (odds ratio [OR] =1.3; P > 0.001), complementary insurance coverage (OR = 1.3; P > 0.001), family size (OR = 1.46; P > 0.001), and income (OR = 1.3; P > 0.001). CONCLUSION: Dental expenditures were progressive in Iran, and the rich have paid more share for these services. It seems that implementing insurance programs, changes in the financing of dental care, development of insurance basic benefits package, supporting programs for the poor, adopting educational policies, and promoting oral health for vulnerable people can have an effective role in decreasing inequality in using dental services.

Catastrophic and impoverishing health expenditures and it's affecting factors among health staffs in Iran: A case study in Tehran.

Background: Despite a lot of studies carried out on catastrophic and impoverishing health expenditures, exposure to these expenditures have not been studied among health staffs and their families yet. So that our study has analyzed exposure to CHE (Catastrophic Health Expenditures) and factors affecting them among the health staffs affiliated to army medical universities in Tehran. Methods: This study was a descriptive-analytical and cross-sectional study implemented in 2016. Among all health staffs of a university of medical sciences, the full details of 240 households (838 individuals) were collected by using a stratified random sampling method. The data gathering and analyzing process have been done based on WHO standard guideline. Finally, the odds ratio of CHE determinants is reported using logistic regression by backward elimination method and chi-square test. Results: The results of this study showed that 7.5% (CI: 7.3-7.7) of health staff households (54 individuals) are faced with CHE. The odds of exposure to CHE for households with 3 members and less, households with lower education level and households with two or more outpatient visits were significantly more than others (p<0.05). Households who have used dental services during the past year were 8.77 times (p<0.001) more at risk of CHE. Also, households with 3 members and less, households with lower education level and households with two or more outpatient visits were 8.59, 7.96, and 3.39 times more at risk of such payments, respectively. Conclusion: CHE is a common financing dilemma even among health staffs. Families who have more referring to health centers and less education level and also dental service users are more at risk of exposure. Health policy-makers should pay more attention to such vulnerable and high-risk groups. Finally, our study results recommended the increase of dental insurance coverage as an effective strategy to reduce exposure to CHE.

Assessing the quality of dental services using SERVQUAL model.

BACKGROUND: The measurement of service quality had an important role in managing service provided, diagnosing the problem, and assessing service performance. Patient satisfaction is one of the key indicators of quality in health-care organizations. This study aimed to measure the service quality gap of patients' perceptions and expectations in five dimensions at a military Specialized Dental Clinic in Iran using SERVQUAL tool. MATERIALS AND METHODS: This was a cross-sectional and descriptive-analytical study conducted at a Specialized Dental Clinic affiliated to the Armed Forces of Islamic Republic of Iran in Tehran in 2013. All 385 patients referring to the studied clinic during two working shifts of morning and evening in one month, August, were selected. The required data were collected using the modified SERVQUAL questionnaire. The collected data were analyzed using SPSS 20.0 through statistical tests including Mann-Whitney and Kruskal-Wallis tests. P < 0.05 was considered statistically significant. RESULTS: The results showed that the quality of services provided to patients was significantly lower than their expectations and the quality gaps were statistically significant in all studied dimensions (P < 0.001). Furthermore, the highest and lowest quality gap was related to empathy (-1.16) and reliability (-0.61), respectively. CONCLUSION: According to the results, the managers of this clinic should take steps toward improving the quality of services in all dimensions, especially responsiveness and empathy, through planning properly, prioritizing services, and reviewing processes with regard to the patients' expectations.

The Dilemma of Irrational Antibiotic and Corticosteroid Prescription in Iran: How Much It Can Affect the Medicine Expenditures?

In recent years the high cost of medicines and the lack of it were one of the major problems in developing countries that despite numerous efforts to solve the root causes of this problem, the issue remains, unfortunately. Therefore, this study aimed to assess the impact of antibiotics and corticosteroids prescription on the medicines expenditures. This was descriptive-analytical study that conducted to assess the function of medical expenditures through prescription letters and analysis the factors affecting medicine expenditures. We used the data of 91,994,667 selected prescription letters that were collected by the Ministry of the Health and Medical Education (MOHME) throughout the country in the year 2011 which was analyzed through a logarithmic regression model and OLS estimator. The average number of prescription items in each prescription letter were varied from 2.7 to 3.6, and the average price of each letter was varied from 30223 to 69986 Rials. Between 39 to 61 percent of prescription letters containing antibiotic items and between 15 and 35% of them contain corticosteroids. Also, the impact of antibiotic and corticosteroid prescriptions on the average expenditure of prescription letters were -1.4 and 0.032 respectively. Excessive and irrational prescribing had the greatest impact on medicine expenditures. On the other hand, the expenditure of prescription letters had the negative elasticity to antibiotics prescription and relatively inelastic for corticosteroids. So, raising the price of medications to reduce the use of them could not play a successful role in a control policy.

A study on the factors affecting the prescription of injection medicines in Iran: a policy making approach.

BACKGROUND & AIM: Inappropriate prescribing injection medicines can reduce the quality of medical care, patient safety, and leads to a waste of resources. Sufficient evidence is not available in developing countries to persuade policy-makers to promote rational drug prescription. The objective of this study is to assess some factors affecting the prescription of the injection medicines in Iran. METHODS: In this descriptive-analytic study, the data of 91,994,667 selected prescription letters were collected by the Ministry of the Health and Medical Education (MOHME) throughout the country at the year 2011 which were analyzed through a logarithmic regression model. RESULTS: Results of the study show that the percentage of the prescription letters containing injection items varied from 27 percent (in Yazd) to 57 percent (in Ilam). Also the impact of price on the prescription of the injection medicines was not significant (P=0.55). But the impact of the prescription of antibiotics and corticosteroid on injections were significant (P>0.05) and equal 0.44 and 0.65 respectively. CONCLUSION: Increasing price of injection medicines as a policy towards reducing consumptions cannot be a successful policy. But reducing the use of antibiotics and corticosteroids can be a more effective policy to reduce the use of injection medicines.

Assessment the trend of inequality in the distribution of intensive care beds in Iran: using GINI index.

BACKGROUND & AIM: While most of the published researches have reported the amount of inequity in geographical distribution of important health resources, only a small number of studies have focused on the trend of inequality in the distribution of these resources. The purpose of this study was to determine the trend of inequality in the distribution of intensive care beds in Iran during 2010 to 2012 by using the Gini coefficient. METHODS: This is a cross-sectional research conducted in 2013. The changes over three years (2010 to 2012) were calculated by Gini coefficient to investigate the trend of inequality in geographical distribution of intensive care beds (CCU, ICU and NICU). RESULTS: The Gini coefficient for CCU beds was calculated as 0.02, 0.04 and 0.06 in 2010, 2011 and 2012, respectively. The Gini coefficient for ICU beds was calculated as 0.03, 0.05 and 0.05 in 2010, 2011 and 2012, respectively. Also, the Gini coefficient for NICU bed was calculated as 0.02, 0.03 and 0.04 in 2010, 2011 and 2012, respectively. CONCLUSION: Regarding to Gini coefficient, the trend of inequality was increased in the distribution of intensive care beds in Iran. Particularly, the inequalities in distribution of CCU beds were significantly increased during past years. In fact, if this trend of inequality continues, the distribution of intensive care beds will be extremely unequal in the next five years in Iran.