Evidence map›Paper›PMID 28413368›Full record

ArticleInternational journal of integrated care2016

What Is Case Management? A Scoping and Mapping Review.

Sue Lukersmith, Michael Millington, Luis Salvador-Carulla

Abstract read
In one paragraph

Article in International journal of integrated care, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 4 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

48 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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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.

Sue LukersmithFaculty of Health Sciences, Centre for Disability Research and Policy, University of Sydney, Sydney, Australia.ORCID 0000-0001-8202-3828
Michael MillingtonFaculty of Health Sciences, Centre for Disability Research and Policy, University of Sydney, Sydney, Australia.
Luis Salvador-CarullaFaculty of Health Sciences, Centre for Disability Research and Policy, University of Sydney, Sydney, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The description of case management in research and clinical practice is highly variable which impedes quality analysis, policy and planning. Case management makes a unique contribution towards the integration of health care, social services and other sector services and supports for people with complex health conditions. There are multiple components and variations of case management depending on the context and client population. This paper aims to scope and map case management in the literature to identify how case management is described in the literature for key complex health conditions (e.g., brain injury, diabetes, mental health, spinal cord injury). Following literature searches in multiple databases, grey literature and exclusion by health condition, community-based and adequate description, there were 661 potential papers for data extraction. Data from 79 papers (1988-2013) were analysed to the point of saturation (no new information) and mapped to the model, components and activities. The results included 22 definitions, five models, with 69 activities or tasks of case managers mapped to 17 key components (interventions). The results confirm the significant terminological variance in case management which produces role confusion, ambiguity and hinders comparability across different health conditions and contexts. There is an urgent need for an internationally agreed taxonomy for the coordination, navigation and management of care.

Indexed as

care coordinationcase managementcomplexityintegrated carescopingtaxonomy

Identifiers

PMID28413368
PMCPMC5388031

What OpenQuestion holds

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LicenceCC BY
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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.