Evidence map›Paper›PMID 28062603›Full record

ArticleBMJ quality & safety2017

Combining qualitative and quantitative operational research methods to inform quality improvement in pathways that span multiple settings.

Sonya Crowe, Katherine Brown, Jenifer Tregay, Jo Wray, Rachel Knowles, Deborah A Ridout, Catherine Bull, Martin Utley

Open access · hybridAbstract read
In one paragraph

Article in BMJ quality & safety, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
4.5field-weighted citation impact, top 6% of its field
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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.

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  10. Exploring the usefulness of Lexis diagrams for quality improvement.BMC medical informatics and decision making · 2020
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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

8 authors at 2 institutions in 1 country.

Sonya CroweClinical Operational Research Unit, University College London, London, UK.
Katherine BrownGreat Ormond Street Hospital NHS Foundation Trust, London, UK.
Jenifer TregayGreat Ormond Street Hospital NHS Foundation Trust, London, UK.
Jo WrayGreat Ormond Street Hospital NHS Foundation Trust, London, UK.
Rachel KnowlesPopulation, Policy and Practice Programme, UCL Institute of Child Health, London, UK.
Deborah A RidoutPopulation, Policy and Practice Programme, UCL Institute of Child Health, London, UK.
Catherine BullGreat Ormond Street Hospital NHS Foundation Trust, London, UK.
Martin UtleyClinical Operational Research Unit, University College London, London, UK.
Great Ormond Street Hospital for Children NHS Foundation Trust · GBUniversity College London · GB

Funding

Department of Health 10/2002/29
6 · The paper itself

Abstract

backgroundImproving integration and continuity of care across sectors within resource constraints is a priority in many health systems. Qualitative operational research methods of problem structuring have been used to address quality improvement in services involving multiple sectors but not in combination with quantitative operational research methods that enable targeting of interventions according to patient risk. We aimed to combine these methods to augment and inform an improvement initiative concerning infants with congenital heart disease (CHD) whose complex care pathway spans multiple sectors.

methodsSoft systems methodology was used to consider systematically changes to services from the perspectives of community, primary, secondary and tertiary care professionals and a patient group, incorporating relevant evidence. Classification and regression tree (CART) analysis of national audit datasets was conducted along with data visualisation designed to inform service improvement within the context of limited resources.

resultsA 'Rich Picture' was developed capturing the main features of services for infants with CHD pertinent to service improvement. This was used, along with a graphical summary of the CART analysis, to guide discussions about targeting interventions at specific patient risk groups. Agreement was reached across representatives of relevant health professions and patients on a coherent set of targeted recommendations for quality improvement. These fed into national decisions about service provision and commissioning.

conclusionsWhen tackling complex problems in service provision across multiple settings, it is important to acknowledge and work with multiple perspectives systematically and to consider targeting service improvements in response to confined resources. Our research demonstrates that applying a combination of qualitative and quantitative operational research methods is one approach to doing so that warrants further consideration.

Indexed as

Operations ResearchResearch DesignContinuity of Patient CareHeart Defects, CongenitalHumansPatient Care ManagementProgram EvaluationQuality ImprovementSystems IntegrationHealthcare quality improvementImplementation scienceQuality improvement methodologies

Identifiers

PMID28062603
PMCPMC5537516
OpenAlexW2570410473

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.