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Stakeholder and Equity Data-Driven Implementation: a Mixed Methods Pilot Feasibility Study

delete2022-10-04
delete9
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K
Kelly A. Aschbrenner *
G
Gina Kruse
K
Karen M. Emmons
D
Deepinder Singh
M
Marjanna E. Barber-Dubois
A
Angela M. Miller
A
Annette N. Thomas
S
Stephen J. Bartels
DOI:10.1007/s11121-022-01442-9delete
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摘要

摘要

En 中文
We conducted a mixed methods pilot feasibility study of a Stakeholder and Equity Data-Driven Implementation (SEDDI) process to facilitate using healthcare data to identify patient groups experiencing gaps in the use of evidence-based interventions (EBIs) and rapidly adapt EBIs to achieve greater access and equitable outcomes. We evaluated the feasibility and acceptability of SEDDI in a pilot hybrid type 2 effectiveness-implementation trial of a paired colorectal cancer (CRC) and social needs screening intervention at four federally qualified community health centers (CHCs). An external facilitator partnered with CHC teams to support initial implementation, followed by the SEDDI phase focused on advancing health equity. Facilitation sessions were delivered over 8 months. Preliminary evaluation of SEDDI involved convergent mixed methods with quantitative survey and focus group data. CHCs used data to identify gaps in outreach and completion of CRC screening with respect to race/ethnicity, gender, age, and language. Adaptations to improve access and use of the intervention included cultural, linguistic, and health literacy tailoring. CHC teams reported that facilitation and systematic review of data were helpful in identifying and prioritizing gaps. None of the four CHCs completed rapid cycle testing of adaptations largely due to competing priorities during the COVID-19 response. SEDDI has the potential for advancing chronic disease prevention and management by providing a stakeholder and data-driven approach to identify and prioritize health equity targets and guide adaptations to improve health equity. ClinicalTrials.gov Identifier: NCT04585919.
Keyword:
Health equity
Adaptations
Implementation
Mixed methods
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Prevention Science
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Massachusetts General Hospital
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Harvard University
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harvard university medical affiliates
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Dartmouth College
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