Evidence map›Paper›PMID 28212653›Full record

ArticleBMC health services research2017

Coordination between primary and secondary care: the role of electronic messages and economic incentives.

Antonella La Rocca, Thomas Hoholm

Abstract read
In one paragraph

Article in BMC health services research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. A Bibliometric Analysis and Visualization of Decision Support Systems for Healthcare Referral Strategies.International journal of environmental research and public health · 2022
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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

2 authors.

Antonella La RoccaAkershus University Hospital, Sykehusveien 25, Lørenskog, 1478, Norway. antonella.la.rocca@bi.no.
Thomas HoholmAkershus University Hospital, Sykehusveien 25, Lørenskog, 1478, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn Norway, a government reform has recently been introduced to enhance coordination between primary and secondary care. This paper examines the effects of two newly introduced measures to improve the coordination: an ICT-based communication tool/standard and an economic incentive scheme.

methodThis qualitative study is based primarily on 27 open-ended interviews. We interviewed nine employees at a hospital (the focal actor), 17 employees from seven different municipalities, and a representative of a Regional Health Authority.

resultsICT-based communication is perceived to facilitate information exchange between primary and secondary care, thus positively affecting coordination. However, the economic incentive scheme appears to have the opposite effect by creating tensions between the two organizations and accentuating power asymmetry in favor of secondary care.

conclusionsThe inter-organizational nature of coordination in health care makes it crucial for policymakers and management of care organizations to conceive incentives and instruments that work jointly across organizations rather than at only one of the health care organizations involved. Such an approach is likely to favor a more symmetrical pattern of collaboration between primary and secondary care.

Indexed as

MotivationPrimary Health CareSecondary Health CareText MessagingContinuity of Patient CareCooperative BehaviorDelivery of Health CareHumansInterviews as TopicNorwayQualitative ResearchCommunicationCoordinationHealth careHealth care networkIntegrated carePolicy

Identifiers

PMID28212653
PMCPMC5316199

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.