Evidence map›Paper›PMID 35086528›Full record

ArticleImplementation science : IS2022

Explaining variable effects of an adaptable implementation package to promote evidence-based practice in primary care: a longitudinal process evaluation.

Liz Glidewell, Cheryl Hunter, Vicky Ward, Rosemary R C McEachan, Rebecca Lawton, Thomas A Willis, Suzanne Hartley, Michelle Collinson, Michael Holland, Amanda J Farrin and 2 more

Abstract read
In one paragraph

Article in Implementation science : IS, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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

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  6. Review
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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

12 authors.

Liz Glidewell *Leeds Institute of Health Sciences, University of Leeds, Leeds, England. liz.glidewell@york.ac.uk.ORCID 0000-0003-2519-2654
Cheryl Hunter *Leeds Institute of Health Sciences, University of Leeds, Leeds, England.
Vicky WardLeeds Institute of Health Sciences, University of Leeds, Leeds, England.
Rosemary R C McEachanBradford Institute for Health Research, Bradford Teaching Hospitals NHS-Foundation Trust, Bradford, England.
Rebecca LawtonBradford Institute for Health Research, Bradford Teaching Hospitals NHS-Foundation Trust, Bradford, England.
Thomas A WillisLeeds Institute of Health Sciences, University of Leeds, Leeds, England.
Suzanne HartleyLeeds Institute of Clinical Trials Research, University of Leeds, Leeds, England.
Michelle CollinsonLeeds Institute of Clinical Trials Research, University of Leeds, Leeds, England.
Michael HollandLeeds Institute of Clinical Trials Research, University of Leeds, Leeds, England.
Amanda J FarrinLeeds Institute of Clinical Trials Research, University of Leeds, Leeds, England.
Robbie FoyLeeds Institute of Health Sciences, University of Leeds, Leeds, England.
ASPIRE programme team

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundImplementing evidence-based recommendations is challenging in UK primary care, especially given system pressures and multiple guideline recommendations competing for attention. Implementation packages that can be adapted and hence applied to target multiple guideline recommendations could offer efficiencies for recommendations with common barriers to achievement. We developed and evaluated a package of evidence-based interventions (audit and feedback, educational outreach and reminders) incorporating behaviour change techniques to target common barriers, in two pragmatic trials for four "high impact" indicators: risky prescribing; diabetes control; blood pressure control; and anticoagulation in atrial fibrillation. We observed a significant, cost-effective reduction in risky prescribing but there was insufficient evidence of effect on the other outcomes. We explored the impact of the implementation package on both social processes (Normalisation Process Theory; NPT) and hypothesised determinants of behaviour (Theoretical Domains Framework; TDF).

methodsWe conducted a prospective multi-method process evaluation. Observational, administrative and interview data collection and analyses in eight primary care practices were guided by NPT and TDF. Survey data from trial and process evaluation practices explored fidelity.

resultsWe observed three main patterns of variation in how practices responded to the implementation package. First, in integration and achievement, the package "worked" when it was considered distinctive and feasible. Timely feedback directed at specific behaviours enabled continuous goal setting, action and review, which reinforced motivation and collective action. Second, impacts on team-based determinants were limited, particularly when the complexity of clinical actions impeded progress. Third, there were delivery delays and unintended consequences. Delays in scheduling outreach further reduced ownership and time for improvement. Repeated stagnant or declining feedback that did not reflect effort undermined engagement.

conclusionsVariable integration within practice routines and organisation of care, variable impacts on behavioural determinants, and delays in delivery and unintended consequences help explain the partial success of an adaptable package in primary care.

Indexed as

Diabetes MellitusEvidence-Based PracticeDelivery of Health CareHumansPrimary Health CareProspective StudiesAdaptable implementation packageAudit and feedbackClinical remindersComputerised promptsEducational outreachFidelityNormalization Process TheoryPrimary careProcess evaluationTailored interventionTheoretical Domains Framework

Identifiers

PMID35086528
PMCPMC8793205

What OpenQuestion holds

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LicenceCC BY
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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.