Evidence map›Paper›PMID 39574134›Full record

ArticleBMC health services research2024

Barriers and facilitators to high-volume evidence-based innovation and implementation in a large, community-based learning health system.

Cimone Durojaiye, Stephanie Prausnitz, Jennifer L Schneider, Tracy A Lieu, Julie A Schmittdiel, Smita Rouillard, Yi-Fen Chen, Kristine Lee, Douglas A Corley

Abstract read
In one paragraph

Article in BMC health services research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Cimone DurojaiyeDivision of Research, Kaiser Permanente Northern California, Pleasanton, CA, USA. Cimone.e.durojaiye@kp.org.
Stephanie PrausnitzDivision of Research, Kaiser Permanente Northern California, Pleasanton, CA, USA.
Jennifer L SchneiderDivision of Research, Kaiser Permanente Northern California, Pleasanton, CA, USA.
Tracy A LieuDivision of Research, Kaiser Permanente Northern California, Pleasanton, CA, USA.
Julie A SchmittdielDivision of Research, Kaiser Permanente Northern California, Pleasanton, CA, USA.
Smita RouillardThe Permanente Medical Group, Pleasanton, CA, USA.
Yi-Fen ChenThe Permanente Medical Group, Pleasanton, CA, USA.
Kristine LeeThe Permanente Medical Group, Pleasanton, CA, USA.
Douglas A CorleyDivision of Research, Kaiser Permanente Northern California, Pleasanton, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBroad-scale, rapid health care change is critically needed to improve value-based, effective health care. Health care providers and systems need to address common barriers and facilitators across the evidence to implementation pathway, across diverse specialties. However, most evidence translation / implementation research evaluates single topic areas, and may be of limited value for informing comprehensive efforts. This project's objective was to identify, characterize, and illustrate common trans-topic facilitators and barriers of translating new health care evidence results to clinical implementation across multiple medical specialties.

methodsThis study was an evaluation of all evidence-based innovation projects completed during 2019-2021. Each project was created with medical group clinical leaders and was intended to inform clinical care. The evaluation took place in a large community-based integrated health care system, and an embedded delivery science and applied research program. Clinical investigators, scientific investigators, and clinical operational leaders received structured questionnaires regarding barriers and facilitators for the operational implementation of new research findings for each project. Responses were mapped to the Consolidated Framework for Implementation Research to identify perceived implementation barriers and facilitators.

resultsAll 48 projects completed between 2019 and 2021 were evaluated; responses were received for 45 (94%) and 34 had comments mappable to framework domains. Potential barriers and facilitators to clinical implementation of new research results were identified across all five framework domains and, within these, the 38 constructs or sub-constructs. Among 245 total comments, the most commonly cited facilitators were how the new research evidence generated, compelled change (n = 29), specialty communication networks for disseminating results and initiating change (n = 20), leadership engagement in the project (n = 19), and the innovation's relative advantage over existing practices (n = 11). The most commonly cited barriers were inadequate resource commitment for next-step implementation (n = 15), insufficient learning/implementation culture (n = 5), and insufficient individual-level willingness/ability for change (n = 5).

conclusionsA novel large-scale evaluation of barriers and facilitators across the evidence to implementation pathway identified common factors across multiple topic areas and specialties. These common potentially replicable facilitators and modifiable barriers can focus health systems and leaders pursuing large-volume evidence-to-implementation initiatives on those areas with the likely greatest benefit-for-effort, for accelerating health care change.

Indexed as

Learning Health SystemDiffusion of InnovationEvidence-Based PracticeHumansImplementation ScienceLeadershipSurveys and QuestionnairesTranslational Research, BiomedicalBarriersCFIRFacilitatorsImplementationLearning health system

Identifiers

PMID39574134
PMCPMC11580646

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.