Evidence map›Paper›PMID 37435440›Full record

ArticleJournal of public health research2023

Exploration of understanding of integrated care from a public health perspective: A scoping review.

Fadumo Noor, Gabriel Gulis, Leena Eklund Karlsson

Abstract readScoping Review
In one paragraph

Article in Journal of public health research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–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

10 citing papers in PubMed.

  1. Article
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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.

Fadumo NoorUnit for Health Promotion Research, Department of Public Health, University of Southern Denmark, Campus Esbjerg, Esbjerg Ø, Denmark.
Gabriel GulisUnit for Health Promotion Research, Department of Public Health, University of Southern Denmark, Campus Esbjerg, Esbjerg Ø, Denmark.
Leena Eklund KarlssonUnit for Health Promotion Research, Department of Public Health, University of Southern Denmark, Campus Esbjerg, Esbjerg Ø, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Many health care systems attempt to develop an integrated care approach that is a whole population health-oriented system. However, knowledge of strategies to support this effort are scarce and fragmented. The aim of the current paper is to investigate existing concepts of integrated care and their elements from a public health perspective and to propose an elaborated approach that could be applied to explore the public health orientation of integrated care. Design and methods: We applied a scoping review approach. A literature search was conducted in Embase, Medline, CINAHL, Scopus and Web of Science for the period 2000-2020 yielding 16 studies for inclusion. Results: Across the papers, 14 frameworks were identified. Nine of these referred to the Chronic Care Model (CCM). Service delivery, person-centeredness, IT systems design and utilization and decision support were identified as the core elements of most of the included frameworks. The descriptions of these elements were mainly clinical-oriented focusing particularly on clinical care processes and treatment of diseases instead of wider determinants of population health. Conclusions: A synthesized model is proposed that emphasizes the importance of mapping the unique needs and characteristics of the population it aims to serve, leans on the social determinants approach with a commitment to individual and community empowerment, health literacy and suggests reorienting services to meet the expressed needs of the population.

Indexed as

Frameworkshealth care systemsintegrated caremodelspublic health

Identifiers

PMID37435440
PMCPMC10331197

What OpenQuestion holds

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LicenceCC BY-NC
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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.