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Published on: January 12, 2018
What matters when exploring fidelity when using health IT to reduce disparities?
Margaret A Handley1,2, Jerad Landeros3, Cindie Wu4
1Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, USA. Margaret.handley@ucsf.edu.
This study evaluated the STAR MAMA Program for postpartum women with gestational diabetes, finding high engagement and acceptability across language groups despite initial system errors. Findings highlight the importance of language-concordant interventions and addressing system-level challenges for health equity.
Area of Science:
- Implementation Science
- Health Equity
- Digital Health Interventions
Background:
- Evidence-based interventions require strategies to engage diverse populations while maintaining external validity.
- Health IT tools for patient-centered messages can conflict with tailoring needs and linguistic equity.
Purpose of the Study:
- To evaluate the fidelity and acceptability of the bilingual STAR MAMA Program.
- To explore fidelity to core and modifiable equity components, including language variation.
Main Methods:
- Conducted a fidelity and acceptability evaluation of the STAR MAMA Program (bilingual intervention for postpartum women with gestational diabetes).
- Utilized an adapted implementation fidelity framework to assess core and modifiable equity components.
- Collected data from participant surveys, systems databases, and coaching notes.
Main Results:
- High intervention completion (90%) and acceptability were observed among 181 participants (96.6% Latina, 80.9% foreign-born).
- Initial systems errors were resolved; Spanish speakers had slightly more triggers but not statistically significant.
- Spanish speakers reported higher satisfaction with content (p<0.01), while English speakers found coaches less considerate of time (p=0.03).
Conclusions:
- Language-specific factors influenced fidelity and acceptability, with early systems errors remedied and high overall engagement.
- Practice implications include establishing language-equity criteria, planning for systems errors, and examining outcomes of language-concordant interventions.
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