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Background: Fair access to health services is a vital issue in low-and middle-income countries. Therefore, the present study was conducted to evaluate the equity in access to primary health care (PHC) services in southeastern Iran.Methods: This household-based survey was conducted on 1128 households in Kerman, southeastern Iran in 2019-20. A multistage probability method was used to select the samples. The online questionnaire was designed and its link was provided to the questioners. After receiving the training, the questioners went to the door according to the sampling guide. The collected data were analyzed at a significance level of 0.05, using the STATA software. The concentration index (CI) was also used to measure inequality in access to PHC services.Results: The results showed that there was a significant difference between gender and location in access to PHC services (P < 0.05). However, no significant difference was found between the access rates to PHC services and the variables of age, marital, education, health insurance, and Supplementary insurance (P > 0.05). The mean rate of access to PHC services was 3.51 ± 0.53. Cultural access (3.76 ± 0.54) and timely receipt of PHC services (2.51 ± 0.72) accounted for the highest and the lowest access rates, respectively. The concentration index for the distribution of PHC services among the income-adjusted population was 0.014 (CI 95%: -0.022 to 0.051), indicating pro-rich inequalities in access to PHC services.Conclusion: The results indicated that pro-rich inequality, but it was close to the equality line. Also, the access level was assessed as moderate to high. Therefore, planning and policy-making seems essential for reduce inequality, and development and promotion of access to PHC services, especially timely provision of services and organizational access. [ABSTRACT FROM AUTHOR]

Background: This study was conducted to synthesize the evidence on the dimensions of performance appraisal of the public health and primary care system through a scoping review and meta-synthesis. Methods: The review conducted systematically in 2018 with a scoping review approach. To identify pertinent studies, the following electronic databases were systematically searched until December 20, 2017: Cochrane, ISI Web of Science, PubMed, Scopus, Science Direct, and Embase. Reviewing the studies found on the search bases was carried out in three stages by two persons individually. According to refined studies, the data were extracted to meet the objectives and respond to the research questions. The thematic analysis was used to identify and categorize the dimensions of performance measurement. Results: Using this process, 20 studies were eligible for our research. The critical points in measuring the performance of the public health field were classified into eight main domains including leadership and stewardship, funding, resource generation, service delivery, quality, accessibility, efficiency/productivity, and community health status. The differences in measurement frameworks are inevitable. One reason for the differences in the health system performance measurement framework is the differences in the data or data collection, analysis, and reporting. Performance measurement in the field of health, especially primary care, was a multidimensional issue. Conclusions: Each of the main dimensions had several sub-criteria, indicating the broadness and complexity of the performance of first-level care providers. Single-dimensional performance measurement could underpin incorrect policies and decisions. [ABSTRACT FROM AUTHOR]

The outsourcing of health services has gained prominence over the past decades. Because numerous factors affect outsourcing in the field of health services, identifying and prioritizing these factors is specifically important. This study sought to identify and prioritize the factors affecting outsourcing, and to propose a model for the effective outsourcing of hospital services in Shiraz, Iran. The study drew on an exploratory mixed research method. In the first stage, all the criteria affecting the outsourcing of activities in hospitals were identified through the theoretical framework, a literature review, and interviews with hospital experts. Next, the criteria were finalized and prioritized using the fuzzy best-worst method (BWM). Following the literature review, 34 criteria for outsourcing were identified based on the studies explored and the interviews with the experts; the criteria were categorized into seven dimensions including "strategy", "management", "economy", "quality", "security and keeping patients' records", "service", and "agility." These dimensions formed the final outsourcing model of hospitals in Shiraz. Finally, the fuzzy BWM analysis revealed that "security and keeping patient's records" had the highest priority in outsourcing-related decision-making. The findings can help hospital managers make the right decision concerning the outsourcing of hospital services. The dimensions found in this research might also have been identified in other models, although this study was different in that it concentrated on the criteria in the specialized area of hospital management, while identifying the importance and weights of all the criteria involved. [ABSTRACT FROM AUTHOR]