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Refining Expert Recommendations for Implementing Change (ERIC) strategy surveys using cognitive interviews with frontline providers.
Yakovchenko, Vera; Chinman, Matthew J; Lamorte, Carolyn; Powell, Byron J; Waltz, Thomas J; Merante, Monica; Gibson, Sandra; Neely, Brittney; Morgan, Timothy R; Rogal, Shari S.
Afiliação
  • Yakovchenko V; Center for Health Equity Research and Promotion, VA Pittsburgh Healthcare System, Building 30, Room 2A113, University Drive C (151C), Pittsburgh, PA, 15240-1001, USA.
  • Chinman MJ; Center for Health Equity Research and Promotion, VA Pittsburgh Healthcare System, Building 30, Room 2A113, University Drive C (151C), Pittsburgh, PA, 15240-1001, USA.
  • Lamorte C; RAND Corporation, Pittsburgh, PA, USA.
  • Powell BJ; Center for Health Equity Research and Promotion, VA Pittsburgh Healthcare System, Building 30, Room 2A113, University Drive C (151C), Pittsburgh, PA, 15240-1001, USA.
  • Waltz TJ; Center for Mental Health Services Research, Brown School, Washington University in St. Louis, St. Louis, MO, USA.
  • Merante M; Center for Dissemination & Implementation, Institute for Public Health, Washington University in St. Louis, St. Louis, MO, USA.
  • Gibson S; Division of Infectious Diseases, John T. Milliken Department of Medicine, School of Medicine, Washington University in St. Louis, St. Louis, MO, USA.
  • Neely B; Department of Psychology, Eastern Michigan University, Ypsilanti, MI, USA.
  • Morgan TR; Center for Health Equity Research and Promotion, VA Pittsburgh Healthcare System, Building 30, Room 2A113, University Drive C (151C), Pittsburgh, PA, 15240-1001, USA.
  • Rogal SS; Center for Health Equity Research and Promotion, VA Pittsburgh Healthcare System, Building 30, Room 2A113, University Drive C (151C), Pittsburgh, PA, 15240-1001, USA.
Implement Sci Commun ; 4(1): 42, 2023 Apr 21.
Article em En | MEDLINE | ID: mdl-37085937
ABSTRACT

BACKGROUND:

The Expert Recommendations for Implementing Change (ERIC) compilation includes 73 defined implementation strategies clustered into nine content areas. This taxonomy has been used to track implementation strategies over time using surveys. This study aimed to improve the ERIC survey using cognitive interviews with non-implementation scientist clinicians.

METHODS:

Starting in 2015, we developed and fielded annual ERIC surveys to evaluate liver care in the Veterans Health Administration (VA). We invited providers who had completed at least three surveys to participate in cognitive interviews (October 2020 to October 2021). Before the interviews, participants reviewed the complete 73-item ERIC survey and marked which strategies were unclear due to wording, conceptual confusion, or overlap with other strategies. They then engaged in semi-structured cognitive interviews to describe the experience of completing the survey and elaborate on which strategies required further clarification.

RESULTS:

Twelve VA providers completed surveys followed by cognitive interviews. The "Engage Consumer" and "Support Clinicians" clusters were rated most highly in terms of conceptual and wording clarity. In contrast, the "Financial" cluster had the most wording and conceptual confusion. The "Adapt and Tailor to Context" cluster strategies were considered to have the most redundancy. Providers outlined ways in which the strategies could be clearer in terms of wording (32%), conceptual clarity (51%), and clarifying the distinction between strategies (51%).

CONCLUSIONS:

Cognitive interviews with ERIC survey participants allowed us to identify and address issues with strategy wording, combine conceptually indistinct strategies, and disaggregate multi-barreled strategies. Improvements made to the ERIC survey based on these findings will ultimately assist VA and other institutions in designing, evaluating, and replicating quality improvement efforts.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline / Prognostic_studies / Qualitative_research Idioma: En Revista: Implement Sci Commun Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline / Prognostic_studies / Qualitative_research Idioma: En Revista: Implement Sci Commun Ano de publicação: 2023 Tipo de documento: Article