Alkhurayji Khalid Saad, Alsuhaimi Abdulmunim, Alangari Hesham, Alrayes Saja A, Alumran Arwa
Research, Statistics, and Information Department, Saudi Central Board for Accreditation of Healthcare Institutions, Riyadh 12264, Saudi Arabia.
Executive Department of Standards, Saudi Central Board for Accreditation of Healthcare Institutions, Riyadh 12264, Saudi Arabia.
Healthcare (Basel). 2025 Mar 7;13(6):580. doi: 10.3390/healthcare13060580.
: Compliance with healthcare standards is an absolute must for every healthcare organization seeking accreditation. Several factors were found to affect compliance, and in Saudi Arabia, certain standards were observed for non-compliance. Therefore, this systematic review and meta-analysis seeks to identify the factors associated with non-compliance with healthcare accreditation in Saudi Arabia. : This study adheres to the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) guidelines. The population, intervention, comparison, and outcome (PICO) model was used to refine the research question. The Peer Review of Electronic Search Strategies (Press) guidelines were used to improve the search strategy. The databases used for the search were PubMed, Web of Science, Scopus, and Google Scholar. The dates searched were from 1 January 2000 to 1 November 2024. We used a data extraction form for study characteristics and outcome data, which was piloted on five studies in this review. The risk of bias was assessed by using the Joanna Briggs Institute (JBI) tool and the Mixed Methods Appraisal Tool (MMAT). The analysis was carried out using the Fisher r-to-z transformed correlation coefficient as the outcome measure. A random-effects model was fitted to the data. : A total of ten studies were included for qualitative synthesis and five for quantitative synthesis. Several factors were observed for non-compliance, including insufficient training organization hurdles, a lack of implementation strategies, and the attitudes of healthcare providers. The estimated average correlation coefficient based on the random-effects model was 0.2568 (95% CI: -0.1190 to 0.6326). : The dimension of quality in healthcare through pooled correlations from various studies highlighted a weak association among these dimensions.
对于每个寻求认证的医疗保健组织来说,遵守医疗保健标准是绝对必要的。研究发现有几个因素会影响合规性,在沙特阿拉伯,某些标准被观察到存在不合规情况。因此,本系统评价和荟萃分析旨在确定沙特阿拉伯医疗保健认证不合规相关的因素。
本研究遵循系统评价和荟萃分析的首选报告项目(PRISMA)指南。采用人群、干预、对照和结局(PICO)模型来细化研究问题。使用电子搜索策略同行评审(Press)指南来改进搜索策略。用于搜索的数据库有PubMed、科学网、Scopus和谷歌学术。搜索的日期范围是2000年1月1日至2024年11月1日。我们使用了一份研究特征和结局数据的数据提取表,该表在本评价中的五项研究中进行了预试验。采用乔安娜·布里格斯研究所(JBI)工具和混合方法评价工具(MMAT)评估偏倚风险。分析以Fisher r-to-z变换相关系数作为结局指标进行。对数据拟合随机效应模型。
总共纳入了十项研究进行定性综合分析,五项进行定量综合分析。观察到了几个不合规因素,包括培训不足、组织障碍、缺乏实施策略以及医疗保健提供者的态度。基于随机效应模型估计的平均相关系数为0.2568(95%CI:-0.1190至0.6326)。
通过对各项研究的汇总相关性得出的医疗保健质量维度突出了这些维度之间的弱关联。