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Environmental Scanning Model in Health System and Implementation Steps: A Scoping Review
Khalil Kalavani1,2, Mohammad Hossein Mehrolhassani2, Abdurrahim Pedram3
1Department of Public Health, Khoy University of Medical Sciences, Khoy, Iran.
This study identifies the most practical environmental scanning model for healthcare literature. It provides a structured approach for health system managers to make evidence-based decisions by analyzing data and identifying trends.
Area of Science:
- Healthcare Management
- Public Health
- Information Science
Background:
- Environmental scanning is crucial for assessing community needs and informing healthcare programs and policies.
- Existing literature highlights the utility of environmental scanning in healthcare settings.
- A practical model for healthcare environmental scanning requires systematic identification and synthesis.
Purpose of the Study:
- To identify and evaluate the most practical model for conducting environmental scanning within the healthcare literature.
- To synthesize findings from existing studies to propose an optimal framework for healthcare environmental scanning.
Main Methods:
- A comprehensive scoping review was conducted in 2023, adhering to the PRISMA guideline.
- A systematic search strategy was developed with librarians and executed across five major electronic databases (Web of Science, PubMed, Scopus, Cochrane, Embase).
- Two independent reviewers screened 7243 retrieved articles, progressing from title/abstract to full-text review, resulting in the inclusion of 5 relevant studies.
Main Results:
- The review identified 5 highly relevant studies on environmental scanning in healthcare.
- The model proposed by Bednar and colleagues represents the most recent and advanced approach.
- A consensus emerged, with most studies outlining six core steps for conducting environmental surveys in healthcare systems.
Conclusions:
- The identified environmental scanning model offers a practical framework for healthcare decision-makers.
- This model facilitates data collection, analysis, and interpretation to identify key trends.
- It supports evidence-based decision-making for health system managers and policymakers.
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