Evidence map›Paper›PMID 30397078›Full record

Trial reportBMJ quality & safety2019

Effects and costs of implementing predictive risk stratification in primary care: a randomised stepped wedge trial.

Helen Snooks, Kerry Bailey-Jones, Deborah Burge-Jones, Jeremy Dale, Jan Davies, Bridie Angela Evans, Angela Farr, Deborah Fitzsimmons, Martin Heaven, Helen Howson and 12 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in BMJ quality & safety, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

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

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Observational
  9. Review
  10. Article
  11. (Dis)Integrated Care? Lessons from East London.International journal of integrated care · 2020
    Article
  12. Article
  13. Emergency admission risk stratification tools in UK primary care: a cross-sectional survey of availability and use.The British journal of general practice : the journal of the Royal College of General Practitioners · 2020
    Article
  14. Article
  15. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

22 authors.

Helen SnooksMedical School, Swansea University, Swansea, UK h.a.snooks@swansea.ac.uk.
Kerry Bailey-JonesAbertawe Bro Morgannwg University Health Board, Neath Port Talbot, UK.
Deborah Burge-JonesAbertawe Bro Morgannwg University Health Board, Neath Port Talbot, UK.
Jeremy DaleWarwick Medical School, University of Warwick, Coventry, UK.ORCID 0000-0001-9256-3553
Jan DaviesIndependent service user, Cardiff, UK.
Bridie Angela EvansMedical School, Swansea University, Swansea, UK.
Angela FarrSwansea Centre for Health Economics, Swansea University, Swansea, UK.
Deborah FitzsimmonsSwansea Centre for Health Economics, Swansea University, Swansea, UK.
Martin HeavenMedical School, Swansea University, Swansea, UK.
Helen HowsonBevan Commission, Swansea, UK.
Hayley HutchingsMedical School, Swansea University, Swansea, UK.
Gareth JohnNHS Wales Informatics Service, Cardiff, UK.
Mark KingstonMedical School, Swansea University, Swansea, UK.ORCID 0000-0003-2242-4210
Leo LewisInternational Foundation for Integrated Care, Oxford, UK.
Ceri PhillipsSwansea Centre for Health Economics, Swansea University, Swansea, UK.
Alison PorterMedical School, Swansea University, Swansea, UK.
Bernadette SewellSwansea Centre for Health Economics, Swansea University, Swansea, UK.
Daniel WarmHywel Dda University Health Board, Carmarthen, UK.
Alan WatkinsMedical School, Swansea University, Swansea, UK.
Shirley WhitmanIndependent service user, Cardiff, UK.
Victoria WilliamsMedical School, Swansea University, Swansea, UK.
Ian RussellMedical School, Swansea University, Swansea, UK.ORCID 0000-0002-0069-479X

Funding

Department of Health 09/1801/1054
6 · The paper itself

Abstract

aimWe evaluated the introduction of a predictive risk stratification model (PRISM) into primary care. Contemporaneously National Health Service (NHS) Wales introduced Quality and Outcomes Framework payments to general practices to focus care on those at highest risk of emergency admission to hospital. The aim of this study was to evaluate the costs and effects of introducing PRISM into primary care.

methodsRandomised stepped wedge trial with 32 general practices in one Welsh health board. The intervention comprised: PRISM software; practice-based training; clinical support through two 'general practitioner (GP) champions' and technical support. The primary outcome was emergency hospital admissions.

resultsAcross 230 099 participants, PRISM implementation increased use of health services: emergency hospital admission rates by 1 % when untransformed (while change in log-transformed rate Δ

conclusionsIntroduction of PRISM resulted in a statistically significant increase in emergency hospital admissions and use of other NHS services without evidence of benefits to patients or the NHS.

Indexed as

Costs and Cost AnalysisPrimary Health CareAdultEmergency Service, HospitalFemaleGeneral PracticeHospitalizationHumansMaleMiddle AgedRisk AssessmentState MedicineSurveys and QuestionnairesWalesYoung Adultcluster trialscost-effectivenessemergency departmenthealth services researchprimary care

Identifiers

PMID30397078
PMCPMC6820297

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.