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可视化有效的卫生人力队伍的驱动因素:一个详细的、互动的逻辑模型。

Visualizing the drivers of an effective health workforce: a detailed, interactive logic model.

机构信息

Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe Street, Baltimore, MD, 21205, USA.

University of British Columbia, Vancouver, BC, Canada.

出版信息

Hum Resour Health. 2021 Mar 12;19(1):32. doi: 10.1186/s12960-021-00570-7.

Abstract

BACKGROUND

A strong health workforce is a key building block of a well-functioning health system. To achieve health systems goals, policymakers need information on what works to improve and sustain health workforce performance. Most frameworks on health workforce planning and policymaking are high-level and conceptual, and do not provide a structure for synthesizing the growing body of empirical literature on the effectiveness of strategies to strengthen human resources for health (HRH). Our aim is to create a detailed, interactive logic model to map HRH evidence and inform policy development and decision-making.

METHODS

We reviewed existing conceptual frameworks and models on health workforce planning and policymaking. We included frameworks that were: (1) visual, (2) comprehensive (not concentrated on specific outcomes or strategies), and (3) designed to support decision-making. We compared and synthesized the frameworks to develop a detailed logic model and interactive evidence visualization tool.

RESULTS

Ten frameworks met our inclusion criteria. The resulting logic model, available at hrhvisualizer.org , allows for visualization of high-level linkages as well as a detailed understanding of the factors that affect health workforce outcomes. HRH data and governance systems interact with the context to affect how human resource policies are formulated and implemented. These policies affect HRH processes and strategies that influence health workforce outcomes and contribute to the overarching health systems goals of clinical quality, responsiveness, efficiency, and coverage. Unlike existing conceptual frameworks, this logic model has been operationalized in a highly visual, interactive platform that can be used to map the research informing policies and illuminating their underlying mechanisms.

CONCLUSIONS

The interactive logic model presented in this paper will allow for comprehensive mapping of literature around effective strategies to strengthen HRH. It can aid researchers in communicating with policymakers about the evidence behind policy questions, thus supporting the translation of evidence to policy.

摘要

背景

强大的卫生人力队伍是运作良好的卫生系统的关键基石。为实现卫生系统目标,政策制定者需要了解哪些措施有助于提高和维持卫生人力队伍的绩效。大多数卫生人力规划和决策框架都是高层次和概念性的,并未为综合不断增加的关于加强卫生人力(HRH)战略有效性的实证文献提供结构。我们的目标是创建一个详细的、互动式逻辑模型,以映射 HRH 证据并为政策制定和决策提供信息。

方法

我们回顾了现有的卫生人力规划和决策框架和模型。我们纳入的框架是:(1)可视化的,(2)全面的(不集中于特定结果或策略),以及(3)旨在支持决策的。我们比较并综合了这些框架,以开发详细的逻辑模型和互动式证据可视化工具。

结果

十个框架符合我们的纳入标准。由此产生的逻辑模型(可在 hrhvisualizer.org 上获得)允许可视化高级别的联系,以及深入了解影响卫生人力成果的因素。HRH 数据和治理系统与背景相互作用,影响人力资源政策的制定和实施方式。这些政策影响 HRH 流程和策略,从而影响卫生人力成果,并有助于实现临床质量、响应性、效率和覆盖范围等总体卫生系统目标。与现有的概念框架不同,这个逻辑模型已在一个高度可视化、互动的平台上得到实现,可用于映射为政策提供信息并阐明其潜在机制的研究。

结论

本文提出的互动逻辑模型将允许对加强 HRH 的有效策略的文献进行全面映射。它可以帮助研究人员与政策制定者就政策问题背后的证据进行沟通,从而支持将证据转化为政策。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c075/7953552/342d548f7a88/12960_2021_570_Fig1_HTML.jpg

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