Establishing a primary care audit and feedback implementation laboratory: a consensus study.

Clinical trial Formative feedback Implementation science Inappropriate prescribing Primary healthcare

Journal

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

Informations de publication

Date de publication:
07 Jan 2021
Historique:
received: 13 08 2020
accepted: 15 12 2020
entrez: 8 1 2021
pubmed: 9 1 2021
medline: 9 1 2021
Statut: epublish

Résumé

There is a significant variation among individual primary care providers in prescribing of potentially problematic, low-value medicines which cause avoidable patient harm. Audit and feedback is generally effective at improving prescribing. However, progress has been hindered by research waste, leading to unanswered questions about how to include audit and feedback for specific problems and circumstances. Trials of different ways of providing audit and feedback in implementation laboratories have been proposed as a way of improving population healthcare while generating robust evidence on feedback effects. However, there is limited experience in their design and delivery. To explore priorities, feasibility, and ethical challenges of establishing a primary care prescribing audit and feedback implementation laboratory. Two-stage Delphi consensus process involving primary care pharmacy leads, audit and feedback researchers, and patient and public. Participants initially scored statements relating to priorities, feasibility, and ethical considerations for an implementation laboratory. These covered current feedback practice, priority topics for feedback, usefulness of feedback in improving prescribing and different types of prescribing data, acceptability and desirability of different organization levels of randomization, options for trial consent, different methods of delivering feedback, and interest in finding out how effective different ways of presenting feedback would be. After receiving collated results, participants then scored the items again. The consensus was defined using the GRADE criteria. The results were analyzed by group and overall score. Fourteen participants reached consensus for 38 out of 55 statements. Addressing antibiotic and opioid prescribing emerged as the highest priorities for action. The panel supported statements around addressing high-priority prescribing issues, taking an "opt-out" approach to practice consent if waiving consent was not permitted, and randomizing at lower rather than higher organizational levels. Participants supported patient-level prescribing data and further research evaluating most of the different feedback methods we presented them with. There is a good level of support for evaluating a wide range of potential enhancements to improve the effects of feedback on prescribing. The successful design and delivery of a primary care audit and feedback implementation laboratory depend on identifying shared priorities and addressing practical and ethical considerations.

Sections du résumé

BACKGROUND BACKGROUND
There is a significant variation among individual primary care providers in prescribing of potentially problematic, low-value medicines which cause avoidable patient harm. Audit and feedback is generally effective at improving prescribing. However, progress has been hindered by research waste, leading to unanswered questions about how to include audit and feedback for specific problems and circumstances. Trials of different ways of providing audit and feedback in implementation laboratories have been proposed as a way of improving population healthcare while generating robust evidence on feedback effects. However, there is limited experience in their design and delivery.
AIM OBJECTIVE
To explore priorities, feasibility, and ethical challenges of establishing a primary care prescribing audit and feedback implementation laboratory.
DESIGN AND SETTING METHODS
Two-stage Delphi consensus process involving primary care pharmacy leads, audit and feedback researchers, and patient and public.
METHOD METHODS
Participants initially scored statements relating to priorities, feasibility, and ethical considerations for an implementation laboratory. These covered current feedback practice, priority topics for feedback, usefulness of feedback in improving prescribing and different types of prescribing data, acceptability and desirability of different organization levels of randomization, options for trial consent, different methods of delivering feedback, and interest in finding out how effective different ways of presenting feedback would be. After receiving collated results, participants then scored the items again. The consensus was defined using the GRADE criteria. The results were analyzed by group and overall score.
RESULTS RESULTS
Fourteen participants reached consensus for 38 out of 55 statements. Addressing antibiotic and opioid prescribing emerged as the highest priorities for action. The panel supported statements around addressing high-priority prescribing issues, taking an "opt-out" approach to practice consent if waiving consent was not permitted, and randomizing at lower rather than higher organizational levels. Participants supported patient-level prescribing data and further research evaluating most of the different feedback methods we presented them with.
CONCLUSIONS CONCLUSIONS
There is a good level of support for evaluating a wide range of potential enhancements to improve the effects of feedback on prescribing. The successful design and delivery of a primary care audit and feedback implementation laboratory depend on identifying shared priorities and addressing practical and ethical considerations.

Identifiants

pubmed: 33413700
doi: 10.1186/s43058-020-00103-8
pii: 10.1186/s43058-020-00103-8
pmc: PMC7792204
doi:

Types de publication

Journal Article

Langues

eng

Pagination

3

Subventions

Organisme : Wellcome Trust ISSF
ID : 204825/Z/16/Z

Références

JAMA. 2016 Jun 14;315(22):2415-23
pubmed: 27299617
BMJ. 2018 Nov 14;363:k4524
pubmed: 30429122
BMJ Qual Saf. 2019 May;28(5):416-423
pubmed: 30852557
Br J Gen Pract. 2017 May;67(658):e352-e360
pubmed: 28347986
Implement Sci. 2014 Jan 17;9:14
pubmed: 24438584
BMJ Qual Saf. 2018 Oct;27(10):858-864
pubmed: 29666310
Implement Sci. 2006 Apr 28;1:9
pubmed: 16722539
BMC Fam Pract. 2015 Sep 11;16:121
pubmed: 26362559
BMC Med Res Methodol. 2005 Dec 01;5:37
pubmed: 16321161
J Clin Epidemiol. 2014 Apr;67(4):401-9
pubmed: 24581294
Cochrane Database Syst Rev. 2012 Jun 13;(6):CD000259
pubmed: 22696318
BMJ. 2016 Aug 18;354:i4079
pubmed: 27540041
Health Technol Assess. 1998;2(3):i-iv, 1-88
pubmed: 9561895
Trials. 2016 Aug 17;17(1):409
pubmed: 27534622
BMC Health Serv Res. 2005 Jul 13;5:50
pubmed: 16011811
Int J Med Inform. 2015 Feb;84(2):87-100
pubmed: 25453274
BMJ Open. 2016 May 13;6(5):e010276
pubmed: 27178970
Lancet. 2016 Apr 23;387(10029):1743-52
pubmed: 26898856
Implement Sci. 2017 Jul 3;12(1):84
pubmed: 28673310
Implement Sci. 2017 Mar 4;12(1):30
pubmed: 28259168
Lancet Infect Dis. 2019 Jan;19(1):4-6
pubmed: 30409682
Lancet. 2016 Aug 6;388(10044):547-8
pubmed: 27511773
N Engl J Med. 2016 Mar 17;374(11):1053-64
pubmed: 26981935
Implement Sci. 2018 Feb 17;13(1):32
pubmed: 29452582
PLoS Med. 2020 Feb 28;17(2):e1003045
pubmed: 32109257
Ann Intern Med. 2016 Mar 15;164(6):435-41
pubmed: 26903136
BMJ Open. 2018 Feb 23;8(2):e019921
pubmed: 29476029
Br J Gen Pract. 2019 Jan;69(678):e42-e51
pubmed: 30559110

Auteurs

Sarah L Alderson (SL)

Leeds Institute of Health Science, University of Leeds, Leeds, UK. s.l.alderson@leeds.ac.uk.

Alexander Bald (A)

School of Medicine, University of Leeds, Leeds, UK.

Paul Carder (P)

West Yorkshire Research and Development, NHS Bradford District and Craven Clinical Commissioning Group, Bradford, UK.

Amanda Farrin (A)

Leeds Institute of Clinical Trials Research, University of Leeds, Leeds, UK.

Robbie Foy (R)

Leeds Institute of Health Science, University of Leeds, Leeds, UK.

Classifications MeSH