在资源有限的情况下,加强高质量医药卫生系统数据效用的模型。

Medicine access @ point of care Pub Date : 2020-07-27 eCollection Date: 2020-01-01 DOI:10.1177/2399202620940267
Harriet Rachel Kagoya, Dan Kibuule, Timothy William Rennie, Honoré Kabwebwe Mitonga
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引用次数: 3

摘要

背景:高质量卫生数据的有限利用破坏了加强卫生保健服务的努力,特别是在资源有限的环境中。很少有研究对卫生系统薄弱的撒哈拉以南非洲地区高质量药品信息系统(PIS)数据的有效利用进行建模。目的:在资源有限的纳米比亚,制定一个模型和指导方针,以加强在公共卫生保健中使用高质量的PIS数据。方法:基于Dickoff等人的实践导向理论、Chinn和Jacobs的系统理论方法和应用共识技术的定性模型。2018年至2020年3月期间进行的关于公共医疗保健中PIS数据的质量和效用的全国性研究的数据为模型概念的发展提供了信息。制药和公共卫生系统专家验证了最终模型。结果:总体而言,在38个公共卫生设施和国家一级招募了58名PIS联络人的四项初步国家研究为四个模式概念的发展提供了信息。该模型描述了访问、管理、传播和使用优质PIS数据的概念。在实践中实施该模型的活动包括基层实时自动化制药智能系统的集成,以收集、整合、监控和报告PIS数据。通过基层设施的支助监督系统加强协调、人力资源和技术能力是关键活动。卫生设施和国家一级的公共卫生服务协调人员是在受助人(即护理点的保健专业人员)中执行这些活动的代理人。包括在医疗点实施该模型的指导方针。专家称该模型清晰、简单、全面,并且在医疗点集成了药物情报系统,这是新颖的,对于在资源有限的环境中提高高质量PIS数据的效用具有重要意义。结论:虽然高质量的PIS数据在纳米比亚的效用有限,但该模式的优势令人鼓舞,有助于在资源有限的国家的基层建立有弹性的药物情报系统,这些国家不仅卫生系统薄弱,而且药物滥用负担沉重。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A model to strengthen utility of quality pharmaceutical health systems data in resource-limited settings.

A model to strengthen utility of quality pharmaceutical health systems data in resource-limited settings.

A model to strengthen utility of quality pharmaceutical health systems data in resource-limited settings.

A model to strengthen utility of quality pharmaceutical health systems data in resource-limited settings.

Background: Limited utility of quality health data undermines efforts to strengthen healthcare delivery, particularly in resource-limited settings. Few studies model the effective utility of quality pharmaceutical information system (PIS) data in sub-Saharan Africa, typified with weak health systems.

Aim: To develop a model and guidelines for strengthening utility of quality PIS data in public healthcare in Namibia, a resource-limited setting.

Methods: A qualitative model based on Dickoff et al. practice-oriented theory, Chinn and Jacobs' systematic approach to theory, and applied consensus techniques. Data from nationwide studies on quality and utility of PIS data in public healthcare conducted between 2018 and March 2020 informed the development of the model concepts. Pharmaceutical and public health systems experts validated the final model.

Results: Overall, four preliminary national studies that recruited 58 PIS focal persons at 38 public health facilities and national level informed the development of four model concepts. The model describes concepts on access, management, dissemination, and utility of quality PIS data. Activities to implement the model in practice include grass-root integration of real-time automated pharmaceutical intelligence systems to collect, consolidate, monitor, and report PIS data. Strengthening coordination, human resources, and technical capacity through support supervisory systems at grass-root facilities are key activities. PIS focal persons at health facility and national level are agents to implement these activities among recipients, that is, healthcare professionals at points of care. Guidelines for implementation of the model at point of care are included. Experts described the model as clear, simple, comprehensive, and integration of pharmaceutical intelligence systems at point of care as novel and of importance to enhance utility of quality PIS data in resource-limited settings.

Conclusion: While utility of quality PIS data is limited in Namibia, advantages of the model are encouraging, toward building resilient pharmaceutical intelligence systems at grass roots in resource-limited countries, where there are not only weak health systems, but high burden of misuse of medicines.

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