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Adapting Current Strategies to Implement Evidence-Based Prevention Programs for Paraprofessional Home Visiting
Erin Rotheram-Fuller1, Dallas Swendeman2, Kim Becker3
1Mary Lou Fulton Teachers College, Arizona State University, PO Box 871811, Tempe, AZ, 85287, USA.
Mentor mothers (MM) used evidence-based interventions (EBI) in home visits to support maternal health. MM
Area of Science:
- Public Health
- Maternal and Child Health
- Health Disparities
Background:
- Low-income pregnant women face challenges in obesity prevention, breastfeeding duration, and postpartum depression.
- Evidence-based interventions (EBI) are effective but often require strict replication and fidelity, limiting their widespread implementation.
- A novel strategy is needed to adapt EBI for community-based implementation without compromising effectiveness.
Purpose of the Study:
- To describe a strategy for implementing evidence-based interventions (EBI) through community health workers without requiring strict fidelity.
- To assess the impact of mentor mother (MM) home visits on maternal obesity, breastfeeding duration, and depression.
- To evaluate the use of real-time data and data-informed supervision for iterative quality improvement.
Main Methods:
- Eight parents trained as mentor mothers (MM) conducted home visits with 101 low-income Latina and Korean pregnant women.
- MM were trained in 10 core practice elements common to child-focused EBIs.
- MM utilized mobile phones to report intervention content and skills, enabling data-informed supervision and iterative quality improvement.
Main Results:
- Increased frequency of MM focus on coping with depression was associated with lower BMI at 6 months.
- Breastfeeding duration was positively related to MM's focus on breastfeeding and parenting skills, and use of attending and relaxation techniques.
- Depression levels were correlated with the frequency of addressing depression by MM, but not specific practice elements.
Conclusions:
- A strategy adapting EBI for community health workers, utilizing data-informed supervision, can improve maternal and child health outcomes.
- This approach demonstrates iterative quality improvement in intervention delivery and links implementation processes to outcomes.
- This model offers a scalable and adaptable strategy for disseminating effective health interventions in diverse populations.
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