Optimizing evidence-based practice implementation: a case study on simulated patient protocols in long-term opioid therapy.


Journal

Implementation science communications
ISSN: 2662-2211
Titre abrégé: Implement Sci Commun
Pays: England
ID NLM: 101764360

Informations de publication

Date de publication:
22 Apr 2024
Historique:
received: 28 09 2023
accepted: 21 03 2024
medline: 23 4 2024
pubmed: 23 4 2024
entrez: 22 4 2024
Statut: epublish

Résumé

Substantial work has been done to update or create evidence-based practices (EBPs) in the changing health care landscape. However, the success of these EBPs is limited by low levels of clinician implementation. The goal of this study is to describe the use of standardized/simulated patient/person (SP) methodology as a framework to develop implementation bundles to increase the effectiveness, sustainability, and reproducibility of EBPs across health care clinicians. We observed 12 clinicians' first-time experiences with six unique decision-making algorithms, developed previously using rigorous Delphi methods, for use with patients exhibiting concerning behaviors associated with long-term opioid therapy (LTOT) for chronic pain. Clinicians were paired with two SPs trained to portray individuals with one of the concerning behaviors addressed by the algorithms in a telehealth environment. The SP evaluations were followed by individual interviews, guided by the Consolidated Framework for Implementation Research (CFIR), with each of the clinician participants. Twelve primary care clinicians and 24 SPs in Western Pennsylvania. The primary outcome was identifying likely facilitators for the successful implementation of the EBP using the SP methodology. Our secondary outcome was to assess the feasibility of using SPs to illuminate likely implementation barriers and facilitators. The SP portrayal illuminated factors that were pertinent to address in the implementation bundle. SPs were realistic in their portrayal of patients with concerning behaviors associated with LTOT for chronic pain, but clinicians also noted that their patients in practice may have been more aggressive about their treatment plan. SP simulation provides unique opportunities for obtaining crucial feedback to identify best practices in the adoption of new EBPs for high-risk patients. Zoom simulated patient evaluations.

Sections du résumé

BACKGROUND BACKGROUND
Substantial work has been done to update or create evidence-based practices (EBPs) in the changing health care landscape. However, the success of these EBPs is limited by low levels of clinician implementation.
OBJECTIVE OBJECTIVE
The goal of this study is to describe the use of standardized/simulated patient/person (SP) methodology as a framework to develop implementation bundles to increase the effectiveness, sustainability, and reproducibility of EBPs across health care clinicians.
DESIGN METHODS
We observed 12 clinicians' first-time experiences with six unique decision-making algorithms, developed previously using rigorous Delphi methods, for use with patients exhibiting concerning behaviors associated with long-term opioid therapy (LTOT) for chronic pain. Clinicians were paired with two SPs trained to portray individuals with one of the concerning behaviors addressed by the algorithms in a telehealth environment. The SP evaluations were followed by individual interviews, guided by the Consolidated Framework for Implementation Research (CFIR), with each of the clinician participants.
PARTICIPANTS METHODS
Twelve primary care clinicians and 24 SPs in Western Pennsylvania.
MAIN MEASUREMENT METHODS
The primary outcome was identifying likely facilitators for the successful implementation of the EBP using the SP methodology. Our secondary outcome was to assess the feasibility of using SPs to illuminate likely implementation barriers and facilitators.
RESULTS RESULTS
The SP portrayal illuminated factors that were pertinent to address in the implementation bundle. SPs were realistic in their portrayal of patients with concerning behaviors associated with LTOT for chronic pain, but clinicians also noted that their patients in practice may have been more aggressive about their treatment plan.
CONCLUSIONS CONCLUSIONS
SP simulation provides unique opportunities for obtaining crucial feedback to identify best practices in the adoption of new EBPs for high-risk patients.
SETTING METHODS
Zoom simulated patient evaluations.

Identifiants

pubmed: 38649982
doi: 10.1186/s43058-024-00575-y
pii: 10.1186/s43058-024-00575-y
doi:

Types de publication

Journal Article

Langues

eng

Pagination

44

Subventions

Organisme : NIDA NIH HHS
ID : 5R34DA050004-03
Pays : United States
Organisme : NIH HHS
ID : K24DA05683701A1
Pays : United States

Informations de copyright

© 2024. The Author(s).

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Auteurs

Ellen Green (E)

College of Health Solutions, Arizona State University, Tempe, AZ, USA. Ellen.Green@asu.edu.

Megan Hamm (M)

School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.

Catherine Gowl (C)

School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.

Reed Van Deusen (R)

School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.

Jane M Liebschutz (JM)

School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.

J Deanna Wilson (JD)

Perelman School of Medicine, University of Pennsylvania, Philadelphia, USA.

Jessica Merlin (J)

School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.

Classifications MeSH