A Systematic Review and Meta-Analysis of Health Care Quality in Iran Based on the Comprehensive Quality Measurement in Health Care Model

Abstract

Background: Comprehensive assessment of health care quality is the first step in improving care and achieving health service goals. Therefore, this study aimed to conduct a systematic review and meta-analysis of health care quality in Iran based on the Comprehensive Quality Measurement in Health Care model. Methods: In this study, the databases of PubMed, Scopus, Web of Science, Iranian Scientific Information Database (SID), MagIran, and Google Scholar were searched using English and Iran keywords without time limit. STATA 16 software and a random effect model were used for conducting meta-analysis. Results: Of the 750 articles found, 20 were finally included; 13 of which were related to service quality, five to customer quality, and four to technical quality. Overall mean score of service quality was 7.79 [95% CI 7.43–8.15, df = 12, I2 = 98.48, P value < 0.000] out of 10, and overall mean score of customer quality was 73.20 ± 4.56 [95% CI 65.18–81.22, df = 5, I2 = 99.34, P value < 0.001] out of 100. Among the 12 dimensions of service quality, the confidentiality dimension (9.55 ± 0.12) had the highest mean score and the group support dimension (5.92 ± 0.901) had the lowest score. In general, from the viewpoint of service receivers, the technical quality is relatively favorable. Conclusions: According to the results of this study, the quality of health care in Iran is significantly far from ideal. Therefore, planning to improve providing health care is essential.