A systemmatic literature review on indirect costs of women with breast cancer.

INTRODUCTION: The rising incidence of breast cancer places a financial burden on national health services and economies. The objective of this review is to present a detailed analysis of the research and literature on indirect costs of breast cancer. METHODS: English literature databases from 2000 to 2020 were searched to find studies related to the objective of the present review. Study selection and data extraction was undertaken independently by two authors. Also, quality assessment was done using a checklist designed by Stunhldreher et al. RESULTS: The current study chose 33 studies that were eligible from a total of 2825 records obtained. The cost of lost productivity due to premature death based on human capital approach ranged from $22,386 to $52 billion. The cost burden from productivity lost due to premature death based on friction cost approach ranged from $1488.61 to $4,518,628.5. The cost burden from productivity lost due to morbidity with the human capital approach was reported as $126,857,360.69 to $596,659,071.28. The cost of lost productivity arising from informal caregivers with the human capital approach was $297,548.46 to $308 billion. CONCLUSION: Evaluation of the existing evidence revealed the indirect costs of breast cancer in women to be significantly high. This study did a thorough review on the indirect costs associated with breast cancer in women which could serve as a guide to help pick the appropriate method for calculating the indirect costs of breast cancer based on existing methods, approach and data. There is a need for calculations to be standardised since the heterogeneity of results in different domains from various studies makes it impossible for comparisons to be made among different countries.

Quality assessment of services provided by health centers in Mashhad, Iran: SERVQUAL versus HEALTHQUAL scales.

BACKGROUND: Primary health care is the entry point to the health-care system and regarded as an essential step to achieving universal health coverage. The present study aimed at evaluating the quality of health-care services provided in health centers in Mashhad, Iran. METHODS: This was a cross-sectional study implemented among 200 health service users who were referring to four health centers in Mashhad during January to June 2019. The quality of services in health centers was evaluated with the SERVQUAL and HEALTHQUAL models. Data was analyzed by employing paired t-test and independent sample t-test using SPSS version 16 software. The Levene test was used for examining the equality of variance (homogeneity). Significance level of all the tests was considered when p ≤ 0.05. RESULTS: According to the results of SERVQUAL questionnaire, the average scores of health service users' expectations and perceptions were 4.97 and 3.26, respectively, and the quality gap in the provided services was equal to - 1.7. Based on HEALTHQUAL questionnaire, the average scores of health service users' perception and expectations were 4.72 and 3.25, respectively, and the quality gap in the provided services was equal to - 1.16. Empathy was the highest quality dimension (- 2.019) based on SERVQUAL model, and efficiency dimension was the highest based on HEALTHQUAL model (- 1.761). CONCLUSIONS: The findings of the current study showed a negative gap between the service users' expectations and perceptions in both models. Therefore, the results of this study helps the health managers and policymakers to plan effective interventions for improving the provided services emphasizing the dimensions with the wider gaps.

Factors affecting the technical efficiency of rural primary health care centers in Hamadan, Iran: data envelopment analysis and Tobit regression.

BACKGROUND: Studying and monitoring the efficiency of primary health care centers has a special place in the health system. Although studies have been conducted in the field of efficiency in Iran, few have focused on rural primary health care centers. In addition, previous studies have not used the child mortality rate and Behvarzes as input and output. OBJECTIVE: The present study was conducted aimed to estimate the technical efficiency of rural primary health care centers and determinant factors in Hamadan using data envelopment analysis and Tobit regression. METHODS: This is a Longitudinal study of rural primary health care centers in Hamadan province (2002-2016). Data Envelopment Analysis was employed to estimate technical efficiency of sampled health facilities while Panel Tobit Analysis was applied to predict factors associated with efficiency levels. The outputs were child mortality rate under 1 year of age and child mortality rate 1 year to 5 years of age. The input was Behvarzes (rural health workers). RESULTS: The results of efficiency analysis showed that the average efficiency scores of the centers had a fluctuating trend during the period of the study, but the average performance scores generally decreased in 2016, as compared with 2002. The highest and lowest average performance scores were observed in 2003 (0.78) and 2013 (0.56), respectively. Number of physicians and rural primary healthcare centers per population had a positive statistically significant and the number of midwives and the total fertility per population had a negative statistically significant effect on efficiency. CONCLUSIONS: The findings suggest some level of wastage of health resources in primary health centers. Findings indicate a level of waste of health resources in primary health centers. Behvarz functions in providing primary care services can be considered in the reallocation and optimal use of available resources at the level of rural health centers.

The Factors Associated With Direct Medical Costs in Patients With Gastric Cancer: Quantile Regression Approach Compared With Gamma Regression.

OBJECTIVES: Evaluating the costs of illness can provide evidence to improve performance at all levels of health organizations. This study aimed to identify the relationship between the costs of diagnosing and treating patients with gastric cancer and their explanatory variables, using quantile and gamma regressions and comparing the results of the two models. METHODS: This was a cross-sectional and descriptive-analytic study carried out in 2016. In total, 449 patients with gastric cancer were selected at a hospital affiliated with Mashhad University of Medical Sciences. Direct costs and other variables were collected from medical documents. Data were analyzed using the STATA 12 software, using quantile and gamma regression analysis, and the results were compared. RESULTS: The highest average cost per patient was related to hospitalization costs in both metastatic (20 911 034 Iranian Rials) and nonmetastatic patients (20 738 062 Iranian Rials). The lowest average cost was related to biopsy services in nonmetastatic patients. The results of the study also showed that quantile regression is an appropriate substitute for gamma regression and, in some cases, can provide more information for the analysis of disease costs. Based on the results of the quantile regression, being a male and having a shorter stay had a positive effect on cost and the age of the patient had a significantly negative effect. CONCLUSIONS: Examining the cost of a common illness, such as gastric cancer, is an important economic tool for policy makers and decision makers. It provides evidence-based decision making about resource allocation that they can use for future planning and cost control.