Strategies for developing evidence-based clinical practice guidelines to foster implementation into dental practice.

Evidence-based dentistry clinical practice guidelines computable guidelines evidence-based medicine implementability implementation science learning health care systems patients’ values and preferences

Journal

Journal of the American Dental Association (1939)
ISSN: 1943-4723
Titre abrégé: J Am Dent Assoc
Pays: England
ID NLM: 7503060

Informations de publication

Date de publication:
11 2022
Historique:
received: 02 06 2022
revised: 09 07 2022
accepted: 13 07 2022
pubmed: 21 9 2022
medline: 21 9 2022
entrez: 20 9 2022
Statut: ppublish

Résumé

Professional and other organizations, including oral health care organizations, have been developing evidence-based clinical practice guidelines (CPGs) to help providers incorporate the best available evidence into their clinical decision making. Although the rigor of guideline development has increased over time, ongoing challenges prevent the full adoption of CPGs into clinical practices that experience variability in provider expertise and opinion, patient flow pace, and use of electronic dental records. These challenges include lack of relevant evidence, failure to keep guidelines up to date, and failure to adopt strategies aimed at overcoming the barriers preventing implementation into clinical practice. This article provides a brief overview of strategies that can be used to overcome common challenges to guideline adoption. Such strategies include creating evidence-based CPGs that use additional sources of evidence and methods to inform guideline development and accelerate the guideline updating and dissemination process (that is, evidence directly from clinical practice, big data, patients' values and preferences, and living guidelines) and applying implementation strategies that have been documented as improving translation of CPGs into routine clinical practice (that is, guideline implementability, implementation science, and computable guidelines). Adopting newer strategies for developing and translating evidence into practice could lead to improvements in patient care and population health.

Sections du résumé

BACKGROUND
Professional and other organizations, including oral health care organizations, have been developing evidence-based clinical practice guidelines (CPGs) to help providers incorporate the best available evidence into their clinical decision making. Although the rigor of guideline development has increased over time, ongoing challenges prevent the full adoption of CPGs into clinical practices that experience variability in provider expertise and opinion, patient flow pace, and use of electronic dental records. These challenges include lack of relevant evidence, failure to keep guidelines up to date, and failure to adopt strategies aimed at overcoming the barriers preventing implementation into clinical practice.
RESULTS
This article provides a brief overview of strategies that can be used to overcome common challenges to guideline adoption. Such strategies include creating evidence-based CPGs that use additional sources of evidence and methods to inform guideline development and accelerate the guideline updating and dissemination process (that is, evidence directly from clinical practice, big data, patients' values and preferences, and living guidelines) and applying implementation strategies that have been documented as improving translation of CPGs into routine clinical practice (that is, guideline implementability, implementation science, and computable guidelines).
PRACTICAL IMPLICATIONS
Adopting newer strategies for developing and translating evidence into practice could lead to improvements in patient care and population health.

Identifiants

pubmed: 36127176
pii: S0002-8177(22)00438-X
doi: 10.1016/j.adaj.2022.07.012
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

1041-1052

Informations de copyright

Copyright © 2022 American Dental Association. Published by Elsevier Inc. All rights reserved.

Auteurs

Classifications MeSH