Ontology highlight
ABSTRACT: Background
Evidence-informed policymaking on human resources for health (HRH) has been directly linked with health system productivity, accessibility, equity, quality, and efficiency. The lack of reliable HRH data has made the task of planning the HRH more difficult in all settings.Aim
This study aimed to develop a conceptual model to integrate HRH data and evidence.Methods
The current study is a mixed-method study conducted in three phases: a rapid literature review, a qualitative phase, and an expert panel. Firstly, the electronic databases were searched up to 2018. Then, in the qualitative phase, semi-structured interviews with 50 experts were conducted. Data analysis was performed using the content analysis approach. After several expert panels, the draft of the
SUBMITTER: Najafpour Z
PROVIDER: S-EPMC10236653 | biostudies-literature | 2023 Jun
REPOSITORIES: biostudies-literature