Literature DB >> 31833102

Impact of a community-based approach to patient engagement in rural, low-income adults with type 2 diabetes.

Lynn E Glenn1, Michelle Nichols2, Maithe Enriquez1, Carolyn Jenkins2.   

Abstract

OBJECTIVE: This secondary analysis examined the relationships between Patient Activation Measure (PAM) scores, use of health services, and HgA1C.
DESIGN: A feasibility study was conducted for a community-based intervention for high-risk adults with uncontrolled diabetes. Data were collected at baseline and monthly, including PAM and modified Diabetes Self-Management Assessment Report Tool. INTERVENTION: Participants (n = 58) were randomized to a 3-month nurse (RN) telephone management or community health worker (CHW) in-home intervention, focusing on medication adherence, timely follow-up, diabetes self-management coaching, and linkage to resources.
RESULTS: Sample was mostly female (73%), African-American (90%), low income (75%), high school education or less (80%), and mean age of 59 years. A positive association between PAM score and self-reported diabetes care recommendations was found (r = .356, p = .014) and significant correlation between baseline PAM score and HgA1C levels (r = -.306, p = .029). A paired samples t test showed statistically significant increases in PAM scores in the CHW intervention group (mean increase +8.5, CI [+2.49 to +14.65]); baseline (M = 60.31, SD = 13.3) to end of study ([M = 68.89, SD = 16.39], t(22) = 2.924, p = .008 [two-tailed]).
CONCLUSION: A community-based approach to diabetes management demonstrated a positive effect on patient activation. Although disparities in health care access among rural, low-income populations exist, community-based interventions show potential for improving patient engagement in diabetes management and recommended health services.
© 2019 Wiley Periodicals, Inc.

Entities:  

Keywords:  community health worker; diabetes mellitus type 2; health promotion; patient activation; patient activation measure; patient engagement; poverty; rural population; self-management

Mesh:

Year:  2019        PMID: 31833102      PMCID: PMC7067669          DOI: 10.1111/phn.12693

Source DB:  PubMed          Journal:  Public Health Nurs        ISSN: 0737-1209            Impact factor:   1.462


  69 in total

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