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Stakeholder and Equity Data-Driven Implementation: a Mixed Methods Pilot Feasibility Study.
Aschbrenner, Kelly A; Kruse, Gina; Emmons, Karen M; Singh, Deepinder; Barber-Dubois, Marjanna E; Miller, Angela M; Thomas, Annette N; Bartels, Stephen J.
  • Aschbrenner KA; Geisel School of Medicine at Dartmouth College, Hanover, NH, USA. Kelly.Aschbrenner@dartmouth.edu.
  • Kruse G; Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, USA.
  • Emmons KM; Clinical Research Coordinator, Massachusetts General Hospital, Boston, MA, USA.
  • Singh D; Manet Community Health Center, Quincy, MA, USA.
  • Barber-Dubois ME; Lowell Community Health Center, Lowell, MA, USA.
  • Miller AM; Brockton Neighborhood Health Center, Brockton, MA, USA.
  • Thomas AN; Department of Social & Behavioral Science, Harvard TH Chan School of Public Health, Boston, MA, USA.
  • Bartels SJ; Massachusetts General Hospital, Boston, MA, USA.
Prev Sci ; 2022 Oct 04.
Article in English | MEDLINE | ID: covidwho-2048451
ABSTRACT
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.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Observational study / Prognostic study / Qualitative research / Randomized controlled trials / Reviews / Systematic review/Meta Analysis Language: English Journal subject: Science Year: 2022 Document Type: Article Affiliation country: S11121-022-01442-9

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Observational study / Prognostic study / Qualitative research / Randomized controlled trials / Reviews / Systematic review/Meta Analysis Language: English Journal subject: Science Year: 2022 Document Type: Article Affiliation country: S11121-022-01442-9