Evidence map›Paper›PMID 30157917›Full record

ArticleTrials2018

At-risk registers integrated into primary care to stop asthma crises in the UK (ARRISA-UK): study protocol for a pragmatic, cluster randomised trial with nested health economic and process evaluations.

Jane R Smith, Stanley Musgrave, Estelle Payerne, Michael Noble, Erika J Sims, Allan B Clark, Garry Barton, Hilary Pinnock, Aziz Sheikh, Andrew M Wilson and 1 more

Abstract readClinical Trial Protocol
In one paragraph

Article in Trials, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
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

11 authors.

Jane R SmithUniversity of Exeter, Exeter, UK.
Stanley MusgraveUniversity of East Anglia, Norwich, UK.
Estelle PayerneUniversity of East Anglia, Norwich, UK.
Michael NobleAcle Medical Centre, Norwich, UK.
Erika J SimsUniversity of East Anglia, Norwich, UK.
Allan B ClarkUniversity of East Anglia, Norwich, UK.
Garry BartonUniversity of East Anglia, Norwich, UK.
Hilary PinnockUniversity of Edinburgh, Edinburgh, UK.
Aziz SheikhUniversity of Edinburgh, Edinburgh, UK.
Andrew M WilsonUniversity of East Anglia, Norwich, UK. a.m.wilson@uea.ac.uk.ORCID http://orcid.org/0000-0002-5514-4867
ARRISA-UK Group

Funding

Department of Health HTA/13/34/70Health Technology Assessment Programme 13.34.70
6 · The paper itself

Abstract

backgroundDespite effective treatments and long-standing management guidelines, there are approximately 1400 hospital admissions for asthma weekly in the United Kingdom (UK), many of which could be avoided. In our previous research, a secondary analysis of the intervention (ARRISA) suggested an improvement in the management of at-risk asthma patients in primary care. ARRISA involved identifying individuals at risk of adverse asthma events, flagging their electronic health records, training practice staff to develop and implement practice-wide processes of care when alerted by the flag, plus motivational reminders. We now seek to determine the effectiveness and cost-effectiveness of ARRISA in reducing asthma-related crisis events.

methodsWe are undertaking a pragmatic, two-arm, multicentre, cluster randomised controlled trial, plus health economic and process evaluation. We will randomise 270 primary care practices from throughout the UK covering over 10,000 registered patients with 'at-risk asthma' identified according to a validated algorithm. Staff in practices randomised to the intervention will complete two 45-min eLearning modules (an individually completed module giving background to ARRISA and a group-completed module to develop practice-wide pathways of care) plus a 30-min webinar with other practices. On completion of training at-risk patients' records will be coded so that a flag appears whenever their record is accessed. Practices will receive a phone call at 4 weeks and a reminder video at 6 weeks and 6 months. Control practices will continue to provide usual care. We will extract anonymised routine patient data from primary care records (with linkage to secondary care data) to determine the percentage of at-risk patients with an asthma-related crisis event (accident and emergency attendances, hospitalisations and deaths) after 12 months (primary outcome). We will also capture the time to crisis event, all-cause hospitalisations, asthma control and any changes in practice asthma management for at-risk and all patients with asthma. Cost-effectiveness analysis and mixed-methods process evaluations will also be conducted. DISCUSSION: This study is novel in terms of using a practice-wide intervention to target and engage with patients at risk from their asthma and is innovative in the use of routinely captured data with record linkage to obtain trial outcomes.

trial registrationISRCTN95472706 . Registered on 5 December 2014.

Indexed as

Decision Support Systems, ClinicalDecision Support TechniquesPatient AdmissionRegistriesAnti-Asthmatic AgentsAsthmaCost-Benefit AnalysisDelivery of Health Care, IntegratedDrug CostsElectronic Health RecordsHospital CostsHumansInservice TrainingLungMulticenter Studies as TopicPragmatic Clinical Trials as TopicAnti-Asthmatic AgentsAt-risk asthmaeLearningGeneral practiceHospitalisationPathway of careRegister

Identifiers

PMID30157917
PMCPMC6116486

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Registered trials

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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.