Evidence map›Paper›PMID 34741766›Full record

ArticleSociology of health & illness2022

Why doesn't integrated care work? Using Strong Structuration Theory to explain the limitations of an English case.

Gemma Hughes, Sara E Shaw, Trisha Greenhalgh

Open access · hybridAbstract read
In one paragraph

Article in Sociology of health & illness, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
9.6field-weighted citation impact, top 2% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 46 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

Gemma HughesNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.ORCID 0000-0003-2930-1125
Sara E ShawNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Trisha GreenhalghNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
University of Oxford · GB

Funding

Department of HealthWellcome Trust
6 · The paper itself

Abstract

Integrated care is an aim and a method for organising health and care services, particularly for older people and those with chronic conditions. Policy expects that integrated care programmes will provide person-centred coordinated care which will improve patient or client experience, enable population health, prevent hospital admissions and thereby reduce costs. However, empirical evaluations of integrated care interventions have shown disappointing results. We analysed an in-depth case study using Strong Structuration Theory to ask: how and why have efforts to integrate health and social care failed to produce desired outcomes? In our case, integrated case management and the creation of cost-saving plans were dominant practices. People working in health and social care recursively produced a structure of integrated care: a recognised set of resources created by collective activities. Integrated care, intended to help patients manage their long-term conditions and avoid hospital admission, was only a small part of the complex network that sustained patients at home. The structures of integrated care were unable to compensate for changes in patients' health. The result was that patients' experiences remained largely unaffected and hospital admissions were not easily avoided.

Indexed as

Delivery of Health Care, IntegratedHospitalizationAgedHealth StatusHumansPalliative CareResearch Designageingcase studychronic conditionsethnographyhospital admissions avoidanceintegrated careStrong Structuration Theory

Identifiers

PMID34741766
PMCPMC8936064
OpenAlexW3213678204

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.