Translating evidence into practice: a longitudinal qualitative exploration of allied health decision-making.

Allied health Evidence-based practice Implementation science Qualitative

Journal

Health research policy and systems
ISSN: 1478-4505
Titre abrégé: Health Res Policy Syst
Pays: England
ID NLM: 101170481

Informations de publication

Date de publication:
18 Mar 2021
Historique:
received: 26 02 2020
accepted: 19 11 2020
entrez: 19 3 2021
pubmed: 20 3 2021
medline: 29 7 2021
Statut: epublish

Résumé

Health policy and management decisions rarely reflect research evidence. As part of a broader randomized controlled study exploring implementation science strategies we examined how allied health managers respond to two distinct recommendations and the evidence that supports them. A qualitative study nested in a larger randomized controlled trial. Allied health managers across Australia and New Zealand who were responsible for weekend allied health resource allocation decisions towards the provision of inpatient service to acute general medical and surgical wards, and subacute rehabilitation wards were eligible for inclusion. Consenting participants were randomized to (1) control group or (2) implementation group 1, which received an evidence-based policy recommendation document guiding weekend allied health resource allocation decisions, or (3) implementation group 2, which received the same policy recommendation document guiding weekend allied health resource allocation decisions with support from a knowledge broker. As part of the trial, serial focus groups were conducted with a sample of over 80 allied health managers recruited to implementation group 2 only. A total 17 health services participated in serial focus groups according to their allocated randomization wave, over a 12-month study period. The primary outcome was participant perceptions and data were analysed using an inductive thematic approach with constant comparison. Thematic saturation was achieved. Five key themes emerged: (1) Local data is more influential than external evidence; (2) How good is the evidence and does it apply to us? (3) It is difficult to change things; (4) Historically that is how we have done things; and (5) What if we get complaints? This study explored implementation of strategies to bridge gaps in evidence-informed decision-making. Results provide insight into barriers, which prevent the implementation of evidence-based practice from fully and successfully occurring, such as attitudes towards evidence, limited skills in critical appraisal, and lack of authority to promote change. In addition, strategies are needed to manage the risk of confirmation biases in decision-making processes. Trial registration This trial is registered with the Australian New Zealand Clinical Trials Registry (ANZCTR) (ACTRN12618000029291). Universal Trial Number (UTN): U1111-1205-2621.

Sections du résumé

BACKGROUND BACKGROUND
Health policy and management decisions rarely reflect research evidence. As part of a broader randomized controlled study exploring implementation science strategies we examined how allied health managers respond to two distinct recommendations and the evidence that supports them.
METHODS METHODS
A qualitative study nested in a larger randomized controlled trial. Allied health managers across Australia and New Zealand who were responsible for weekend allied health resource allocation decisions towards the provision of inpatient service to acute general medical and surgical wards, and subacute rehabilitation wards were eligible for inclusion. Consenting participants were randomized to (1) control group or (2) implementation group 1, which received an evidence-based policy recommendation document guiding weekend allied health resource allocation decisions, or (3) implementation group 2, which received the same policy recommendation document guiding weekend allied health resource allocation decisions with support from a knowledge broker. As part of the trial, serial focus groups were conducted with a sample of over 80 allied health managers recruited to implementation group 2 only. A total 17 health services participated in serial focus groups according to their allocated randomization wave, over a 12-month study period. The primary outcome was participant perceptions and data were analysed using an inductive thematic approach with constant comparison. Thematic saturation was achieved.
RESULTS RESULTS
Five key themes emerged: (1) Local data is more influential than external evidence; (2) How good is the evidence and does it apply to us? (3) It is difficult to change things; (4) Historically that is how we have done things; and (5) What if we get complaints?
CONCLUSIONS CONCLUSIONS
This study explored implementation of strategies to bridge gaps in evidence-informed decision-making. Results provide insight into barriers, which prevent the implementation of evidence-based practice from fully and successfully occurring, such as attitudes towards evidence, limited skills in critical appraisal, and lack of authority to promote change. In addition, strategies are needed to manage the risk of confirmation biases in decision-making processes. Trial registration This trial is registered with the Australian New Zealand Clinical Trials Registry (ANZCTR) (ACTRN12618000029291). Universal Trial Number (UTN): U1111-1205-2621.

Identifiants

pubmed: 33736670
doi: 10.1186/s12961-020-00662-1
pii: 10.1186/s12961-020-00662-1
pmc: PMC7977245
doi:

Types de publication

Journal Article Randomized Controlled Trial

Langues

eng

Sous-ensembles de citation

IM

Pagination

38

Subventions

Organisme : National Health and Medical Research Council, Australia
ID : APP1114210

Investigateurs

Meg E Morris (ME)
Leeanne Carey (L)
Nicholas F Taylor (NF)
Anne E Holland (AE)
Anne Bardoel (A)
Cylie Williams (C)
Lisa O'Brien (L)
Elizabeth H Skinner (EH)
Jenny Martin (J)

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Auteurs

Jennifer White (J)

University of Newcastle, University Drive, Callaghan New South Wales, Newcastle, New South Wales, Australia. jwhite1@newcastle.edu.au.

Kellie Grant (K)

School of Primary and Allied Health, Monash University, Frankston, VIC, Australia.

Mitchell Sarkies (M)

Curtin University, Perth, WA, Australia.

Terrence Haines (T)

School of Primary and Allied Health, Monash University, Frankston, VIC, Australia.

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Classifications MeSH