Evidence map›Paper›PMID 25114665›Full record

ArticleInternational journal of integrated care2014

Identification of mechanisms enabling integrated care for patients with chronic diseases: a literature review.

Denise van der Klauw, Hanneke Molema, Liset Grooten, Hubertus Vrijhoef

Abstract read
In one paragraph

Article in International journal of integrated care, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 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

4 authors.

Denise van der KlauwTNO, P.O. 3005, 2301 DA Leiden, The Netherlands.
Hanneke MolemaTNO, P.O. 3005, 2301 DA Leiden, The Netherlands.
Liset GrootenTNO, P.O. 3005, 2301 DA Leiden, The Netherlands.
Hubertus VrijhoefMD3, National University of Singapore, 16 Medical Drive, 117597 Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionNotwithstanding care for chronically ill patients requires a shift towards care that is well coordinated and focused on prevention and self-care, the concept of integrated care lacks specificity and clarity. This article presents a literature review to identify mechanisms for achieving integrated care objectives. THEORY AND

methodsExisting models often present a large variety of dimensions, archetypes and categories of integration without specifying them. Models and programmes describing integrated care for chronic diseases were reviewed. Data were extracted related to objectives and clusters of mechanisms of integration.

resultsThirty-four studies presented four objectives: functional, organisational, professional and service integration. We categorised approaches and interventions to achieve these objectives by strategy and clusters of 'mechanisms of integration': degree, patient centredness and normative aspects. CONCLUSIONS AND DISCUSSION: The clarification of mechanisms to achieve objectives of integrated care as presented may be used as starting point for the development and refinement of integrated care programmes, including methodological grounding of their evaluation. Given that most studies reviewed lack both empirical data and descriptions of the methods used, future research needs to close these gaps. Validation of the findings by a large panel of experts is suggested as recommendation to work towards a grounded framework.

Indexed as

classificationdelivery of health carehealth-care reformintegratedintegrated health-care systemsliterature reviewmodels organisational

Identifiers

PMID25114665
PMCPMC4109400

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.