Evidence map›Paper›PMID 27576322›Full record

ArticleBMC health services research2016

Strengthening patient safety in transitions of care: an emerging role for local medical centres in Norway.

Trond Kongsvik, Kristin Halvorsen, Tonje Osmundsen, Gudveig Gjøsund

Abstract read
In one paragraph

Article in BMC health services research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Trond KongsvikNTNU Social Research, Dragvoll Allé 38b, N-7491, Trondheim, Norway. trond.kongsvik@iot.ntnu.no.
Kristin HalvorsenNTNU Social Research, Dragvoll Allé 38b, N-7491, Trondheim, Norway.
Tonje OsmundsenNTNU Social Research, Dragvoll Allé 38b, N-7491, Trondheim, Norway.
Gudveig GjøsundNTNU Social Research, Dragvoll Allé 38b, N-7491, Trondheim, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatient safety has gained less attention in primary care in comparison to specialised care. We explore how local medical centres (LMCs) can play a role in strengthening patient safety, both locally and in transitions between care levels. LMCs represent a form of intermediate care organisation in Norway that is increasingly used as a strategy for integrated care policies. The analysis is based on institutional theory and general safety theories.

methodsA qualitative design was applied, involving 20 interviews of nursing home managers, managers at local medical centres and administrative personnel.

resultsThe LMCs mediate important information between care levels, partly by means of workarounds, but also as a result of having access to the different information and communications technology (ICT) systems in use. Their knowledge of local conditions is found to be a key asset. LMCs are providers of competence and training for the local level, as well as serving as quality assurers.

conclusionsAs a growing organisational form in Norway, LMCs have to legitimise their role in the health care system. They represent an asset to the local level in terms of information, competence and quality assurance. As they have overlapping competencies, tasks and responsibilities with other parts of the health care system, they add to organisational redundancy and strengthen patient safety.

Indexed as

Patient SafetyQuality Assurance, Health CareAdministrative PersonnelAttitude of Health PersonnelCommunity Health CentersHumansInterviews as TopicNorwayNursing HomesPatient TransferPrimary Health CareCompetenceLocal medical centresPatient safetyQuality

Identifiers

PMID27576322
PMCPMC5006451

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.