南埃塞俄比亚区域州戈法区公共卫生机构卫生工作者对常规卫生信息系统的利用及其相关因素:一项混合方法研究。

IF 4.4 Q1 HEALTH CARE SCIENCES & SERVICES
Bedilu Kucho Doka, Abebaw Gebeyehu Worku, Keneni Gutema Negeri, Dejene Hailu Kassa
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引用次数: 0

摘要

目的:在决策中使用常规卫生数据可改善卫生服务提供和卫生系统绩效。本研究旨在确定常规卫生信息系统(RHIS)的信息利用水平及其相关因素。方法:于2023年4月1日至30日采用混合方法的并发三角测量设计。随机抽取304名卫生工作者作为样本,有目的地对18名举报人进行了访谈。使用了常规信息系统管理工具的标准化性能。进行了多水平线性混合模型回归和专题分析。结果:RHIS的良好信息利用率为52.0% (95% CI: 46.2%, 57.7%, p = 0.491)。数据可视化(β=0.053, 95% CI: 0.006, 0.101, p = 0.027)、数据质量评估(β=0.054, 95% CI: 0.018, 0.090, p = 0.003)、监督(β=0.135, 95% CI: 0.072, 0.198, p < 0.001)、管理支持(β=0.065, 95% CI: 0.001, 0.129, p = 0.045)和数据管理技能(β=0.070, 95% CI: 0.023, 0.118, p = 0.004)是信息利用的显著正向预测因子。相反,卫生站的信息利用率下降(β=-0.082, 95% CI: -0.160, -0.005, p = 0.037)。这一发现进一步得到了定性数据的支持。讨论:信息利用水平与埃塞俄比亚的其他研究一致,尽管以前的研究不包括卫生站。数据可视化、机构管理支持、卫生机构类型、开展数据质量评估、监督质量和数据管理技能是区域卫生保健系统信息利用的重要预测因素。卫生工作者技能的差异和更强的区级监测系统可能解释了不同类型卫生机构之间信息利用的差异。结论:常规健康信息使用率较低。提供质量监督、提高卫生工作者的数据管理技能和开展数据质量评估是必不可少的,建议采取干预措施加强信息利用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Utilisation of routine health information system and associated factors among health workers in public health institutions of Gofa zone, South Ethiopia regional state:a mixed-methods study.

Utilisation of routine health information system and associated factors among health workers in public health institutions of Gofa zone, South Ethiopia regional state:a mixed-methods study.

Objectives: Using the routine health data in decision-making improves the health service delivery and health system performance. This study was aimed at identifying the level of information utilisation and associated factors in the Routine Health Information Systems (RHIS).

Methods: A concurrent triangulation design of a mixed-methods approach was applied from 1 to 30 April 2023. A sample of 304 health workers was randomly selected, and 18 informants were purposefully interviewed. Standardised Performance of Routine Information System Management tools were used. Multilevel linear mixed model regression and thematic analysis were conducted.

Results: The level of good information utilisation in RHIS was 52.0% (95% CI: 46.2%, 57.7%, p = 0.491). Data visualisation (β=0.053, 95% CI: 0.006, 0.101, p = 0.027), data quality assessment (β=0.054, 95% CI: 0.018, 0.090, p = 0.003), supervision (β=0.135, 95% CI: 0.072, 0.198, p < 0.001), management support (β=0.065, 95% CI: 0.001, 0.129, p = 0.045) and data management skills (β=0.070, 95% CI: 0.023, 0.118, p = 0.004) were significant positive predictors of information utilisation. Conversely, information utilisation decreased in health posts (β=-0.082, 95% CI: -0.160, -0.005, p = 0.037). This finding was further supported by the qualitative data.

Discussion: The level of information utilisation was consistent with other studies in Ethiopia, although previous studies excluded health posts. Data visualisation, institutional management support, type of health institution, conducting data quality assessment, supervision quality and data management skills were significant predictors of information utilisation in the RHIS. Differences in health worker skills and stronger district-level monitoring systems likely explained variation in information utilisation across different types of health institutions.

Conclusion: The utilisation of routine health information was lower. Providing quality supervision, improving the data management skills of health workers and conducting data quality assessments are essential and suggested interventions for enhancing information utilisation.

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CiteScore
6.10
自引率
4.90%
发文量
40
审稿时长
18 weeks
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