Mesele Abraraw Gebre, Birhanu Abreham Yeneneh, Shiferaw Atsede Mazengia, Baykemagn Nebebe Demis
Department of Health Informatics, College of Medicine and Health Sciences, Institute of Public Health, University of Gondar, Gondar, Ethiopia.
Digit Health. 2024 Oct 7;10:20552076241283239. doi: 10.1177/20552076241283239. eCollection 2024 Jan-Dec.
Globally, health information systems have been improved by District Health Information System Version 2 (DHIS2), which promotes consistency and integrity in collecting data, processing, and utilization. This success has been attributed to its user-friendly interface and incorporation of advanced data analysis and validation features.
This study aimed to assess DHIS2 data utilization among health professionals working at private hospitals in the Amara region.
An Institution-based cross-sectional study design was conducted from 9 May to 30 June 2022. A simple random sampling technique was used to select participants, with a total of 395 health professionals participating. Data was collected using a self-administered paper-based questionnaire. Data entry was performed using the Kobo Collect tool, and data analysis was conducted using STATA version 14.0. Bivariable and multivariable logistic regression analyses were used and < .05 with a 95% CI was considered to measure statistically significant variables.
Out of 395 participants, about 37.72% of the participants had good DHIS2 data utilization. Had good data analysis skills (adjusted odds ratio (AOR) = 6.5, 95% CI [3.1-13.8]), regular supportive supervision and feedback (AOR = 5.2, 95% CI [2.8-9.5]), monthly salary > 5000 ETB (AOR = 2.0, 95% CI [1.1-3.7]), ease of use (AOR = 5.4, 95% CI [2.8-10.2]), and district health information system training (AOR = 4.2, 95% CI [2.2-7.3]) were enabling factors for utilization of DHIS2 data.
Private healthcare providers had limited utilization of DHIS2 data. It is highly recommended to provide DHIS2 training, supervision, and feedback focused on private health facilities. Additionally, enhancing data analysis skills and prioritizing ease of use are crucial to improving DHIS2 data utilization.
在全球范围内，地区卫生信息系统第2版（DHIS2）改善了卫生信息系统，该系统在数据收集、处理和利用方面促进了一致性和完整性。这一成功归功于其用户友好的界面以及先进的数据分析和验证功能的整合。
本研究旨在评估阿马拉地区私立医院卫生专业人员对DHIS2数据的利用情况。
于2022年5月9日至6月30日采用基于机构的横断面研究设计。使用简单随机抽样技术选择参与者，共有395名卫生专业人员参与。通过自行填写的纸质问卷收集数据。使用Kobo Collect工具进行数据录入，并使用STATA 14.0版本进行数据分析。采用双变量和多变量逻辑回归分析，P<0.05且95%置信区间被认为可衡量具有统计学意义的变量。
在395名参与者中，约37.72%的参与者对DHIS2数据的利用情况良好。具备良好的数据分析技能（调整后的优势比（AOR）=6.5，95%置信区间[3.1 - 13.8]）、定期的支持性监督和反馈（AOR = 5.2，95%置信区间[2.8 - 9.5]）、月薪>5000埃塞俄比亚比尔（AOR = 2.0，95%置信区间[1.1 - 3.7]）、易用性（AOR = 5.4，95%置信区间[2.8 - 10.2]）以及地区卫生信息系统培训（AOR = 4.2，95%置信区间[2.2 - 7.3]）是DHIS2数据利用的促进因素。
私立医疗服务提供者对DHIS2数据的利用有限。强烈建议针对私立卫生机构提供DHIS2培训、监督和反馈。此外，提高数据分析技能并优先考虑易用性对于改善DHIS2数据利用至关重要。
