Melaku Mequannent Sharew, Geremew Bedilu, Zewdu Tesema, Molla Zemenu, Yassin Rukya, Walle Agmasie Damtew, Yohannes Lamrot
Department of Health Informatics, Institute of Public Health, University of Gondar, Gondar, Ethiopia.
Department of Health Informatics, Amhara Region, Debrework Primary Hospital, Debrework, Ethiopia.
Syst Rev. 2025 Jul 3;14(1):135. doi: 10.1186/s13643-025-02851-x.
A global focus is producing high-quality data for use in decision-making at all levels of the health system. Healthcare professionals' data handling techniques have been the subject of numerous research, yet the findings have been wildly inconsistent in Ethiopia. This inconsistency has not been thoroughly examined, leaving a gap in reliable evidence regarding the overall magnitude of effective data management practices within the healthcare system of Ethiopia.
This review aimed to determine the pooled magnitude of data management practices amid healthcare professionals in Ethiopia.
We developed a search strategy and conducted a comprehensive search across PubMed, Web of Science, African journals of online, Ethiopian journal of health science, Scopus, Medline, Embase, WHO Global Health Library, Google Scholar, Scopus, HINARI, CINAHL, and the Cochrane Library to identify relevant studies between October 10 and November 10, 2024. The Joanna Briggs Institute quality assessment methodology, which has nine categories, was used to evaluate each study's quality. Microsoft Excel version 2019 and Stata software was used to extract and analyzes the data. We calculated total heterogeneity across studies using the I statistic and estimated the pooled rate of good data management practices with a fixed-effects model at a 95% confidence interval.
In the first phase, 943 publications on data management practices of healthcare professionals were identified from multiple databases between October 10 and November 10, 2024. A total of 221 studies were excluded due to duplication, and an additional 705 studies were removed for being irrelevant to the outcome of interest. An additional 10 articles were excluded due to missing outcome data or unavailable full texts. Ultimately, 7 studies involving a total of 2654 health professionals were included in the meta-analysis. The overall pooled estimate of good data management practice in Ethiopia was 64.4% (95% CI, 52.27-76.47%). The subgroup analysis revealed the highest proportion in Gondar at 73.02% (95% CI, 52.33-93.70%), and the lowest proportion was observed in the Oromia Special Zone, at 53.62% (95% CI, 29.21-78.02%). Similarly, studies conducted before 2019 reported a slightly lower prevalence (63.60%; 95% CI, 44.76-82.45%) compared to those conducted after 2019 (64.91%; 95% CI, 49.13-80.69%). However, the subgroup analysis indicated that these differences were not statistically significant across study years or regions.
The pooled meta-analysis result revealed that approximately six out of ten healthcare professionals in Ethiopia engage in good data management practices, highlighting a significant improvement in this critical area. Although there were a geographical variations and study year, it was not statistically significant. These results underscore the need for targeted interventions to enhance data management practices. By investing in training, improving infrastructure, and fostering a culture that values data utilization, stakeholders can significantly elevate the standard of data management among healthcare professionals. Addressing these gaps is essential for strengthening health information systems and ultimately improving health outcomes across Ethiopia.
全球的重点是生成高质量数据，以供卫生系统各级用于决策。医疗保健专业人员的数据处理技术一直是众多研究的主题，但在埃塞俄比亚，研究结果却大相径庭。这种不一致性尚未得到彻底研究，在埃塞俄比亚医疗保健系统内有效数据管理实践的总体规模方面，留下了可靠证据的空白。
本综述旨在确定埃塞俄比亚医疗保健专业人员中数据管理实践的合并规模。
我们制定了检索策略，并于2024年10月10日至11月10日在PubMed、科学网、非洲在线期刊、埃塞俄比亚健康科学杂志、Scopus、医学索引、Embase、世界卫生组织全球健康图书馆、谷歌学术、Scopus、HINARI、护理学与健康领域数据库以及考克兰图书馆进行了全面检索，以识别相关研究。采用乔安娜·布里格斯研究所的质量评估方法（该方法有九个类别）来评估每项研究的质量。使用Microsoft Excel 2019版和Stata软件提取和分析数据。我们使用I统计量计算各研究之间的总体异质性，并采用固定效应模型在95%置信区间估计良好数据管理实践的合并率。
在第一阶段，2024年10月10日至11月10日期间从多个数据库中识别出943篇关于医疗保健专业人员数据管理实践的出版物。由于重复，共排除221项研究，另外705项研究因与感兴趣的结果无关而被剔除。又有10篇文章因缺少结果数据或无法获取全文而被排除。最终，7项研究共涉及2654名卫生专业人员被纳入荟萃分析。埃塞俄比亚良好数据管理实践的总体合并估计值为64.4%（95%置信区间，52.27 - 76.47%）。亚组分析显示，贡德尔的比例最高，为73.02%（95%置信区间，52.33 - 93.70%），奥罗米亚特别区的比例最低，为53.62%（95%置信区间，29.21 - 78.02%）。同样，2019年之前进行的研究报告的患病率（63.60%；95%置信区间，44.76 - 82.45%）略低于2019年之后进行的研究（64.91%；95%置信区间，49.13 - 80.69%）。然而，亚组分析表明，这些差异在不同研究年份或地区之间无统计学意义。
汇总的荟萃分析结果显示，埃塞俄比亚约十分之六的医疗保健专业人员采用了良好的数据管理实践，突出了这一关键领域的显著改善。尽管存在地理差异和研究年份差异，但无统计学意义。这些结果强调了有针对性干预措施以加强数据管理实践的必要性。通过投资培训、改善基础设施以及培育重视数据利用的文化，利益相关者能够显著提高医疗保健专业人员的数据管理水平。解决这些差距对于加强卫生信息系统并最终改善埃塞俄比亚各地的健康结果至关重要。
