Background: This study aimed to identify strategies for the implementation of a guided internet- and mobile-based intervention (IMI) for infant sleep problems ("Sleep Well, Little Sweetheart") in well-baby and community mental health clinics.
Study Design: We used group concept mapping, a two-phased mixed methods approach, conducted as a two-day workshop in each clinic. We recruited 20 participants from four clinics and collected sorting and rating data for implementation strategies based on the Expert Recommendations for Implementing Change taxonomy and brainstorming sessions. Data were analyzed using descriptive statistics, multidimensional scaling, and hierarchical cluster analysis to create cluster maps, laddergrams, and Go-Zone graphs. Participants were presented with the results and discussed and interpreted the findings at each of the clinics in spring 2022.
Results: Participants identified 10 clusters of strategies, of which Training, Embedding and Coherence, User Involvement and Participation, and Clinician Support and Implementation Counseling were rated as most important and feasible. Economy and Funding and Interactive and Interdisciplinary Collaboration were rated significantly lower on importance and feasibility compared to many of the clusters (all ps < 0.05). There was a correlation between the importance and feasibility ratings (r =.62, p =.004).
Conclusions: The use of group concept mapping made it possible to efficiently examine well-baby and community clinics' perspectives on complex issues, and to acquire specific knowledge to allow for the planning and prioritization of strategies for implementation. These results suggest areas of priority for the implementation of IMIs related to infant sleep problems.
Trial Registration: The study was pre-registered at Open Science Framework ( www.osf.io/emct8 ).
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http://dx.doi.org/10.1186/s12913-024-10632-w | DOI Listing |
JAMA Netw Open
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Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China.
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Climate change poses an unprecedented threat to forest ecosystems, necessitating innovative adaptation strategies. Traditional assisted migration approaches, while promising, face challenges related to environmental constraints, forestry practices, phytosanitary risks, economic barriers, and legal constraints. This has sparked debate within the scientific community, with some advocating for the broader implementation of assisted migration despite these limitations, while others emphasize the importance of local adaptation, which may not keep pace with the rapid rate of climate change.
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