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. 2021 May;50(5):852-865.
doi: 10.18502/ijph.v50i5.6103.

Basic Criteria, Models, and Indicators of Intersectoral Collaboration in Health Promotion: A Scoping Review

Mohammad Reza Amir Esmaili  1 , Behzad Damari  2 , Ahmad Hajebi  3 , Noora Rafiee  1 , Reza Goudarzi  1 , Abbas Haghshenas  4
Affiliations

Basic Criteria, Models, and Indicators of Intersectoral Collaboration in Health Promotion: A Scoping Review

Mohammad Reza Amir Esmaili et al. Iran J Public Health. 2021 May.

Abstract

Background: In this study, the basic criteria, models, and indicators of intersectoral collaboration in health promotion were investigated to facilitate the implementation of collaboration.

Methods: This scoping review was conducted using datasets of Embase, Web of Science, Scopus, and PubMed, and search engines of Google, Google Scholar, and ProQuest.

Results: 52 studies were included, and 32 codes in Micro, Meso, and Macro level, were obtained. Micro-level criteria had the highest frequency. Among the models used in the reviewed studies, social network analysis, Diagnosis of Sustainable Collaboration, Bergen, and logic models had the highest frequency. Among the indicators studied, the number of participants and the level of collaboration as well as its sustainability were the most frequent indicators.

Conclusion: The findings identified the most important and widely used criteria, models, and indicators of intersectoral collaboration in health promotion which can be useful for decision-makers and planners in the domain of health promotion, in designing, implementing, and evaluating collaborative programs.

Keywords: Criteria; Health promotion; Indicator; Intersectoral collaboration; Model; Scoping review.

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Conflict of interest statement

Conflict of interest The authors declare that there is no conflict of interest.

Figures

Fig. 1:
Fig. 1:
Levels of search and selection of articles
Fig. 2:
Fig. 2:
Characteristics of the included studies
Fig. 3:
Fig. 3:
The frequency of criteria
See this image and copyright information in PMC

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