Literature DB >> 24052204

Implementation of a culturally tailored diabetes intervention with community health workers in American Samoa.

Judith D DePue1,2, Rochelle K Rosen1,2, Andrew Seiden3, Nicole Bereolos1, Marian L Chima4, Michael G Goldstein5, Ofeira Nu'usolia6, John Tuitele6, Stephen T McGarvey3.   

Abstract

PURPOSE: The purpose of this article is to answer key implementation questions from our translation research with a primary care-based, nurse-community health worker (CHW) team intervention to support type 2 diabetes self-management.
METHODS: Descriptive data are given on intervention delivery, CHW visit content, patient safety, and intervention costs, along with statistical analyses to examine participant characteristics of higher attendance at visits.
RESULTS: In the intervention sample (n = 104), 74% (SD = 16%) of planned intervention visits occurred, guided by an algorithm-based protocol. Higher risk participants had a significantly lower dose of their weekly assigned visits (66%) than those at moderate (74%) and lower risk (90%). Twenty-eight percent of participants moved to a lower risk group over the year. Estimated intervention cost was $656 per person. Participants with less education were more likely to attend optimal percentage of visits.
CONCLUSIONS: A nurse-CHW team can deliver a culturally adapted diabetes self-management support intervention with excellent fidelity to the algorithm-based protocols. The team accommodated participants' needs by meeting them whenever and wherever they could. This study provides an example of adaptation of an evidence-based model to the Samoan cultural context and its resource-poor setting.

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Year:  2013        PMID: 24052204      PMCID: PMC4062972          DOI: 10.1177/0145721713504630

Source DB:  PubMed          Journal:  Diabetes Educ        ISSN: 0145-7217            Impact factor:   2.140


  30 in total

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Review 7.  Is Theory Guiding Our Work? A Scoping Review on the Use of Implementation Theories, Frameworks, and Models to Bring Community Health Workers into Health Care Settings.

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