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dc.contributor.authorCherrington, Andrea
dc.contributor.authorAyala, Guadalupe X.
dc.contributor.authorAmick, Halle
dc.contributor.authorScarinci, Isabel
dc.contributor.authorAllison, Jeroan J.
dc.contributor.authorCorbie-Smith, Giselle
dc.date2022-08-11T08:10:43.000
dc.date.accessioned2022-08-23T17:17:46Z
dc.date.available2022-08-23T17:17:46Z
dc.date.issued2008-11-26
dc.date.submitted2010-08-05
dc.identifier.citationJ Health Care Poor Underserved. 2008 Nov;19(4):1044-59. <a href="http://dx.doi.org/10.1353/hpu.0.0077">Link to article on publisher's site</a>
dc.identifier.issn1049-2089 (Linking)
dc.identifier.doi10.1353/hpu.0.0077
dc.identifier.pmid19029736
dc.identifier.urihttp://hdl.handle.net/20.500.14038/47704
dc.description.abstractINTRODUCTION: The community health worker (CHW) model is a popular method for reaching vulnerable populations with diabetes. This study assessed implementation and effectiveness of the model within diabetes programs. METHODS: Four databases were searched to identify diabetes programs implementing the CHW model. Corresponding articles were reviewed and semi-structured interviews were conducted with directors of each program. RESULTS: Eight studies met inclusion criteria for review and their program managers were interviewed. Five CHW roles were identified: educator, case manager, role model, program facilitator, and advocate. Roles, responsibilities and training varied greatly across programs. Selected outcomes also varied, ranging from physiologic measures, to health behaviors, to measures of health care utilization and cost. CONCLUSIONS: Research regarding application of the community health worker model in diabetes management is limited and consensus regarding the scope of the CHW's role is lacking. Future studies should rigorously examine how best to integrate this promising model into chronic disease management.
dc.language.isoen_US
dc.relation<a href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=pubmed&cmd=Retrieve&list_uids=19029736&dopt=Abstract">Link to Article in PubMed</a>
dc.relation.urlhttp://dx.doi.org/10.1353/hpu.0.0077
dc.subject*Community Health Aides
dc.subjectDiabetes Mellitus
dc.subjectHealth Behavior
dc.subjectHealth Education
dc.subjectHealth Knowledge, Attitudes, Practice
dc.subjectHealth Services Accessibility
dc.subjectHumans
dc.subjectPersonnel Selection
dc.subjectProfessional Role
dc.subjectBioinformatics
dc.subjectBiostatistics
dc.subjectEpidemiology
dc.subjectHealth Services Research
dc.titleApplying the community health worker model to diabetes management: using mixed methods to assess implementation and effectiveness
dc.typeJournal Article
dc.source.journaltitleJournal of health care for the poor and underserved
dc.source.volume19
dc.source.issue4
dc.identifier.legacycoverpagehttps://escholarship.umassmed.edu/qhs_pp/828
dc.identifier.contextkey1426302
html.description.abstract<p>INTRODUCTION: The community health worker (CHW) model is a popular method for reaching vulnerable populations with diabetes. This study assessed implementation and effectiveness of the model within diabetes programs.</p> <p>METHODS: Four databases were searched to identify diabetes programs implementing the CHW model. Corresponding articles were reviewed and semi-structured interviews were conducted with directors of each program.</p> <p>RESULTS: Eight studies met inclusion criteria for review and their program managers were interviewed. Five CHW roles were identified: educator, case manager, role model, program facilitator, and advocate. Roles, responsibilities and training varied greatly across programs. Selected outcomes also varied, ranging from physiologic measures, to health behaviors, to measures of health care utilization and cost.</p> <p>CONCLUSIONS: Research regarding application of the community health worker model in diabetes management is limited and consensus regarding the scope of the CHW's role is lacking. Future studies should rigorously examine how best to integrate this promising model into chronic disease management.</p>
dc.identifier.submissionpathqhs_pp/828
dc.contributor.departmentDepartment of Quantitative Health Sciences
dc.source.pages1044-59


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