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.

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.

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.

Universal health coverage under the Joint Comprehensive Plan of Action's sanctions: strategic purchasing approach in the Iranian health system.

Due to the sanctions imposed by the USA government upon the Iranian health system, achieving the UHC might face some financial problems. This study aimed to make the best solution for the Iran health care system to overcome not only the temporary sanctions but also a program to reach the UHC goals through the strategic purchasing approach. This was a qualitative study carried out from 2015 to 2017 containing two phases: a comparative analysis and a three-step Delphi technique. In the first phase, the Garden model was applied to select the countries. In the second phase, 20 experts who specialised in health management, health economics, and health insurance science were asked. Data were analyzed with SPSS (version 20.0) and STATA (version 15.0) In the threat of trade and economic sanctions imposed on the Iranian health care system, the experts identified and emphasized that the vulnerable groups to receive financial assistance can be the retired, fecund women, teenagers and people with lower wages. The experts thought that, in the context of resource constraints, different payment systems are proposed for cities and villages based on the different needs of local population. Considering the difficult situation, this study focused on how Iran can cope well in a dangerous situation and economies the health expenditure applying strategic purchasing as one of the key tools in controlling costs to achieve universal health coverage. Economic evaluation, payment system, and priority population are the linchpins of the UHC. Universal health coverage, if it is to be considered, not only is applicable, but it could also be a solution for future generations. Therefore, the proposed policy proposals can provide both a short-term and long-term basis for the health care system of countries that are facing budget constraints or are basically low-income.