Evidence map›Paper›PMID 26778919›Full record

ArticleBMC nursing2016

Sufficient competence in community elderly care? Results from a competence measurement of nursing staff.

Pia Cecilie Bing-Jonsson, Dag Hofoss, Marit Kirkevold, Ida Torunn Bjørk, Christina Foss

Abstract read
In one paragraph

Article in BMC nursing, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing 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

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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

50 citing papers in PubMed.

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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

5 authors.

Pia Cecilie Bing-JonssonDepartment of Nursing Science, Institute of Health and Society, Faculty of Medicine, University of Oslo, Postbox 1130 Blindern, 0318 Oslo, Norway.
Dag HofossDepartment of Nursing Science, Institute of Health and Society, Faculty of Medicine, University of Oslo, Postbox 1130 Blindern, 0318 Oslo, Norway.
Marit KirkevoldDepartment of Nursing Science, Institute of Health and Society, Faculty of Medicine, University of Oslo, Postbox 1130 Blindern, 0318 Oslo, Norway.
Ida Torunn BjørkDepartment of Nursing Science, Institute of Health and Society, Faculty of Medicine, University of Oslo, Postbox 1130 Blindern, 0318 Oslo, Norway.
Christina FossDepartment of Nursing Science, Institute of Health and Society, Faculty of Medicine, University of Oslo, Postbox 1130 Blindern, 0318 Oslo, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMulti-morbidity, poly-pharmacy and cognitive impairment leave many old patients in a frail condition with a high risk of adverse outcomes if proper health care is not provided. Knowledge about available competence is necessary to evaluate whether we are able to offer equitable and balanced health care to older persons with acute and/or complex health care needs. This study investigates the sufficiency of nursing staff competence in Norwegian community elderly care.

methodsWe conducted a cross-sectional survey of 1016 nursing staff in nursing homes and home care services with the instrument "Nursing Older People - Competence Evaluation Tool". Statistical analyses were ANOVA and multiple regression.

resultsWe found that nursing staff have competence in all areas measured, but that the level of competence was insufficient in the areas nursing measures, advanced procedures, and nursing documentation. Nursing staff in nursing homes scored higher than staff in home care services, and older nursing staff scored lower than younger nursing staff.

conclusionsA reason for the relatively low influence of education and training on competence could be the diffuse roles that nursing staff have in community elderly care, implying that they have poor standards against which to judge their own competence. Clearer role descriptions for all groups of nursing staff are recommended as well as general competence development in geriatric nursing care.

Identifiers

PMID26778919
PMCPMC4714519

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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.