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RADAR-ES: A Methodological Framework for Conducting Environmental Scans in Health Services Delivery Research

Title: RADAR-ES: A Methodological Framework for Conducting Environmental Scans in Health Services Delivery Research
Authors: Nagel, DA; Charlton, P; Azar, R; Koenig, L; Burns, K; Kean, T
Publisher Information: SAGE Publications
Publication Year: 2025
Collection: The University of Melbourne: Digital Repository
Description: AIM: To propose a methodological framework for conceptualizing, planning, and implementing an environmental scan (ES) in health services delivery research (HSDR). BACKGROUND: An ES is a methodological approach employed to examine a range of practices, policies, issues, programs, technologies, trends, and opportunities from a variety of data sources to inform program or policy development. Despite the wide use of ESs in health care to inform decision-making, a lack of methodological guidance exists to support researchers in planning and conducting an ES in HSDR. METHODS: Adapting McMeekin et al's process for developing methodological frameworks, we identified literature that described approaches to planning and conducting ESs in addition to exemplar articles that featured ESs in HSDR. We integrated original research findings and synthesized data from all sources to generate an evidence-informed methodological framework. RESULTS: We developed RADAR-ES that consists of 5 phases and is informed by 4 guiding principles: (1) Recognizing the Issue; (2) Assessing Factors for ES; (3) Developing an ES Protocol; (4) Acquiring and Analyzing the Data; and (5) Reporting the Results. CONCLUSION: RADAR-ES will provide comprehensive guidance for researchers and health services stakeholders who plan and conduct ESs in HSDR.
Document Type: article in journal/newspaper
Language: English
ISSN: 2150-1319
Relation: https://hdl.handle.net/11343/363911
Availability: https://hdl.handle.net/11343/363911
Rights: https://creativecommons.org/licenses/by-nc/4.0 ; CC BY-NC
Accession Number: edsbas.5904B4FA
Database: BASE