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Culturally tailored intervention for rural African Americans with type 2 diabetes
Sharon W Utz1, Ishan C Williams1, Randy Jones1
1The University of Virginia School of Nursing, Rural Health Care Research Center, Charlottesville (Dr Utz, Dr Williams, Dr Jones, Dr Hinton, Ms Alexander, Dr Steeves)
This pilot study evaluated a culturally tailored diabetes self-management intervention for rural African Americans. Group-based interventions showed promising trends in improving self-care actions and empowerment.
Area of Science:
- Public Health
- Health Disparities
- Behavioral Science
Background:
- Diabetes self-management education (DSME) is crucial for managing chronic conditions.
- Culturally tailored interventions are needed to address health disparities in rural African American communities.
- Social Cognitive Theory provides a framework for understanding and promoting health behaviors.
Purpose of the Study:
- To evaluate a culturally tailored intervention for diabetes self-management among rural African Americans.
- To compare the effectiveness of group-based versus individual DSME.
- To assess the impact of the intervention on clinical outcomes and self-efficacy.
Main Methods:
- A pilot study involving 22 participants randomly assigned to Group or Individual DSME.
- Group DSME incorporated storytelling, hands-on activities, and problem-solving.
- Individual DSME focused on goal-setting and problem-solving strategies over 10 weeks.
Main Results:
- Both Group and Individual DSME showed slight improvements in self-care activities, glycosylated hemoglobin (A1C), and goal attainment over 3 months.
- Trends suggested better outcomes in dietary actions, foot care, goal attainment, and empowerment for the Group DSME participants.
- Differences between groups were not statistically significant, but positive trends were observed.
Conclusions:
- The culturally tailored approach was well-received by participants.
- Brief, culturally tailored individual DSME sessions may enhance self-care and glycemic control.
- Further research with larger sample sizes and longer follow-up periods is recommended.
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