Routine health information utilization and associated factors among health care professionals working at public health institution in North Gondar, Northwest Ethiopia.

Routine health information utilization and associated factors among health care professionals working at public health institution in North Gondar, Northwest Ethiopia.
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DOI:
10.1186/s12913-018-3498-7
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发表时间:
2018-09-04
影响因子:
2.8
通讯作者:
Shiferaw AM
Shiferaw AM
中科院分区:
医学3区
文献类型:
--
作者:
Dagnew E;Woreta SA;Shiferaw AM

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常规卫生信息系统(RHIS)对于获取卫生部门规划、监测和评估数据至关重要。然而,在发展中国家,生殖健康信息系统产生的数据质量不高,限制了它们在决策中的用处。由于埃塞俄比亚的常规卫生信息利用率仍然很低,本研究旨在评估埃塞俄比亚西北部北贡达尔一些公共卫生机构的卫生保健专业人员的常规卫生数据利用率及其相关因素。2017年3月至4月,在埃塞俄比亚西北部北贡达尔区的公共卫生机构进行了一项基于机构的横断面研究。采用多阶段抽样技术,从公共卫生机构共抽取720名医护人员。使用结构化自填式问卷和观察性检查表收集数据,进行清理、编码并输入Epi-info 3.5.3版,然后转移到SPSS 20版中进行进一步统计分析。在多元逻辑回归分析中,小于0.05的P值被认为具有统计学显著性。本研究中,卫生专业人员对常规卫生信息利用良好的水平为78.5%(95%CI:73.2%,84.3%)。多因素Logistic回归分析显示,(AOR = 2.19,95% CI:1.47,3.27),机构类型(AOR = 3.57,95% CI:2.39,5.32),标准指标(AOR = 3.28,95% CI:1.90,5.65),数据分析技能(AOR = 1.90,95%CI:1.12,3.23)和良好的治理(AOR = 1.97,95%CI:1.31,2.95)与良好的卫生信息利用水平显著相关。在北贡达尔公共卫生机构工作的卫生保健专业人员中,超过四分之三的人比以往研究中的受访者更好地利用卫生信息。性别、机构类型、标准指标、数据分析技能和治理是与常规卫生信息利用相关的因素。因此,强烈建议采用标准指标、数据分析技能和良好治理,以提高在公共卫生机构工作的卫生保健专业人员对日常卫生数据的利用。本文的在线版本(10.1186/s12913-018-3498-7)包含补充材料,可供授权用户使用。
Routine health information systems (RHIS) are vital for the acquisition of data for health sector planning, monitoring, and evaluation. However, in developing countries the insufficient quality of the data produced by RHIS limits their usefulness in decision-making. As routine health information utilization is still low in Ethiopia, this study aimed to assess the magnitude of routine health data utilization and associated factors among health care professionals in some public health institutions in North Gondar, northwest Ethiopia. An institution based cross-sectional study was conducted from March to April2017, at public health institutions of North Gondar Zone, northwest Ethiopia. A total of 720 health care professionals were selected from public health institutions using the multi-stage sampling technique. Data were collected using a structured self-administered questionnaire and an observational checklist, cleaned, coded, and entered into Epi-info version 3.5.3 and transferred into SPSS version 20 for further statistical analysis. In the multiple logistic regression analysis, a less than 0.05 P-vale was considered statistically significant. In this study, the level of good routine health information utilization among health professionals was 78.5% (95% CI: 73.2%, 84.3%). According to the multivariable logistic regression analysis, sex (AOR = 2.19, 95% CI: 1.47, 3.27), type of institution (AOR = 3.57, 95% CI: 2.39, 5.32), standard indicators (AOR = 3.28, 95% CI: 1.90, 5.65), data analysis skills (AOR = 1.90, 95% CI: 1.12, 3.23), and good governance (AOR = 1.97, 95% CI: 1.31, 2.95), were found significantly associated with a good level of health information utilization. Over three-fourths of the health care professionals working at public health institutions of North Gondar utilized health information better than the respondents in previous studies. Sex, type of institution, standard indicators, data analysis skills, and governance were factors related to routine health information utilization. Therefore, standard indicators, data analysis skills and good governance are highly recommended for improving routine health data utilization of health care professionals working at public health institutions. The online version of this article (10.1186/s12913-018-3498-7) contains supplementary material, which is available to authorized users.
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