Evidence map›Paper›PMID 29453303›Full record

Observational studyBMJ open2018

Identifying positively deviant elderly medical wards using routinely collected NHS Safety Thermometer data: an observational study.

Ruth Baxter, Natalie Taylor, Ian Kellar, Victoria Pye, Mohammed A Mohammed, Rebecca Lawton

Abstract readObservational Study
In one paragraph

Observational study in BMJ open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
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  5. 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

6 authors.

Ruth BaxterYorkshire Quality and Safety Research Group, Bradford Institute for Health Research, Bradford, UK.ORCID 0000-0002-7631-2786
Natalie TaylorCancer Research Division, Cancer Council, Sydney, New South Wales, Australia.
Ian KellarSchool of Psychology, University of Leeds, Leeds, UK.
Victoria PyeAustralian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia.
Mohammed A MohammedYorkshire Quality and Safety Research Group, Bradford Institute for Health Research, Bradford, UK.
Rebecca LawtonYorkshire Quality and Safety Research Group, Bradford Institute for Health Research, Bradford, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe positive deviance approach seeks to identify and learn from exceptional performers. Although a framework exists to apply positive deviance within healthcare organisations, there is limited guidance to support its implementation. The approach has also rarely explored exceptional performance on broad outcomes, been implemented at ward level, or applied within the UK. This study develops and critically appraises a pragmatic method for identifying positively deviant wards using a routinely collected, broad measure of patient safety.

designA two-phased observational study was conducted. During phase 1, cross-sectional and temporal analyses of Safety Thermometer data were conducted to identify a discrete group of positively deviant wards that consistently demonstrated exceptional levels of safety. A group of matched comparison wards with above average performances were also identified. During phase 2, multidisciplinary staff and patients on the positively deviant and comparison wards completed surveys to explore whether their perceptions of safety supported the identification of positively deviant wards.

setting34 elderly medical wards within a northern region of England, UK.

participantsMultidisciplinary staff (n=161) and patients (n=188) clustered within nine positively deviant and comparison wards.

resultsPhase 1: A combination of analyses identified five positively deviant wards that performed best in the region, outperformed their organisation and performed consistently well over 12 months. Five above average matched comparator wards were also identified. Phase 2: Staff and patient perceptions of safety generally supported the identification of positively deviant wards using Safety Thermometer data, although patient perceptions of safety were less concordant with the routinely collected data.

conclusionsThis study tentatively supports a pragmatic method of using routinely collected data to identify positively deviant elderly medical wards; however, it also highlights the various challenges that are faced when conducting the first stage of the positive deviance approach. TRIAL REGISTRATION NUMBER: UK Clinical Research Network Portfolio (reference-18050).

Indexed as

AgedCross-Sectional StudiesEnglandFemaleHospital UnitsHumansMaleMedical Staff, HospitalPatient SafetySafety ManagementSurveys and QuestionnairesThermometersimplementation sciencepositive deviancequality improvementquality in healthcare

Identifiers

PMID29453303
PMCPMC5829907

What OpenQuestion holds

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LicenceCC BY-NC
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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.