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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Case management for dementia in primary health care: a systematic mixed studies review based on the diffusion of
Vladimir Khanassov1, Isabelle Vedel1, Pierre Pluye1
1Department of Family Medicine, McGill University, Montreal, QC, Canada.
Background:
The purpose of this study was to examine factors associated with the implementation of case management (CM) interventions in primary health care (PHC) and to develop strategies to enhance its adoption by PHC practices.
Methods:
This study was designed as a systematic mixed studies review (including quantitative and qualitative studies) with synthesis based on the diffusion of innovation model. A literature search was performed using MEDLINE, PsycInfo, EMBASE, and the Cochrane Database (1995 to August 2012) to identify quantitative (randomized controlled and nonrandomized) and qualitative studies describing the conditions limiting and facilitating successful CM implementation in PHC. The methodological quality of each included study was assessed using the validated Mixed Methods Appraisal Tool.
Results:
Twenty-three studies (eleven quantitative and 12 qualitative) were included. The characteristics of CM that negatively influence implementation are low CM intensity (eg, infrequent follow-up), large caseload (more than 60 patients per full-time case manager), and approach, ie, reactive rather than proactive. Case managers need specific skills to perform their role (eg, good communication skills) and their responsibilities in PHC need to be clearly delineated.
Conclusion:
Our systematic review supports a better understanding of factors that can explain inconsistent evidence with regard to the outcomes of dementia CM in PHC. Lastly, strategies are proposed to enhance implementation of dementia CM in PHC.
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