Evidence map›Paper›PMID 27084278›Full record

ArticleBMJ open2016

Effectiveness of multidisciplinary team case management: difference-in-differences analysis.

Jonathan Stokes, Søren Rud Kristensen, Kath Checkland, Peter Bower

Abstract read
In one paragraph

Article in BMJ open, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 3 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

21 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  12. 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
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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

4 authors.

Jonathan StokesNIHR Greater Manchester Primary Care Patient Safety Translational Research Centre, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK.ORCID http://orcid.org/0000-0002-3266-1474
Søren Rud KristensenManchester Centre for Health Economics, University of Manchester, Manchester, UK.
Kath ChecklandNIHR School for Primary Care Research, Centre for Primary Care, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK.
Peter BowerNIHR Greater Manchester Primary Care Patient Safety Translational Research Centre, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo evaluate a multidisciplinary team (MDT) case management intervention, at the individual (direct effects of intervention) and practice levels (potential spillover effects).

designDifference-in-differences design with multiple intervention start dates, analysing hospital admissions data. In secondary analyses, we stratified individual-level results by risk score.

settingSingle clinical commissioning group (CCG) in the UK's National Health Service (NHS).

participantsAt the individual level, we matched 2049 intervention patients using propensity scoring one-to-one with control patients. At the practice level, 30 practices were compared using a natural experiment through staged implementation.

interventionPractice Integrated Care Teams (PICTs), using MDT case management of high-risk patients together with a summary record of care versus usual care. DIRECT AND INDIRECT OUTCOME MEASURES: Primary measures of intervention effects were accident and emergency (A&E) visits; inpatient non-elective stays, 30-day re-admissions; inpatient elective stays; outpatient visits; and admissions for ambulatory care sensitive conditions. Secondary measures included inpatient length of stay; total cost of secondary care services; and patient satisfaction (at the practice level only).

resultsAt the individual level, we found slight, clinically trivial increases in inpatient non-elective admissions (+0.01 admissions per patient per month; 95% CI 0.00 to 0.01. Effect size (ES): 0.02) and 30-day re-admissions (+0.00; 0.00 to 0.01. ES: 0.03). We found no indication that highest risk patients benefitted more from the intervention. At the practice level, we found a small decrease in inpatient non-elective admissions (-0.63 admissions per 1000 patients per month; -1.17 to -0.09. ES: -0.24). However, this result did not withstand a robustness check; the estimate may have absorbed some differences in underlying practice trends.

conclusionsThe intervention does not meet its primary aim, and the clinical significance and cost-effectiveness of these small practice-level effects is debatable. There is an ongoing need to develop effective ways to reduce unnecessary attendances in secondary care for the high-risk population.

Indexed as

AdolescentAdultAgedAged, 80 and overCase ManagementCost-Benefit AnalysisFemaleHospitalizationHumansMaleMiddle AgedNational Health ProgramsPatient Care TeamPatient SatisfactionUnited KingdomYoung Adultcase managementdifference-in-differencesintegrated caremultidisciplinary team

Identifiers

PMID27084278
PMCPMC4838740

What OpenQuestion holds

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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.