Evidence map›Paper›PMID 27366112›Full record

ArticleBMC nursing2016

Diabetes knowledge in nursing homes and home-based care services: a validation study of the Michigan Diabetes Knowledge Test adapted for use among nursing personnel.

Anne Haugstvedt, Morten Aarflot, Jannicke Igland, Tilla Landbakk, Marit Graue

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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

6 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.

Anne HaugstvedtFaculty of Health and Social Sciences, Centre for Evidence-Based Practice, Bergen University College, Post Box 7030, N-5020 Bergen, Norway.
Morten AarflotDepartment of Community Medicine, University of Tromsø, Tromsø, Norway.
Jannicke IglandFaculty of Health and Social Sciences, Centre for Evidence-Based Practice, Bergen University College, Post Box 7030, N-5020 Bergen, Norway ; Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway.
Tilla LandbakkInnlandet Hospital Trust, Gjøvik, Norway.
Marit GraueFaculty of Health and Social Sciences, Centre for Evidence-Based Practice, Bergen University College, Post Box 7030, N-5020 Bergen, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundProviding high-quality diabetes care in nursing homes and home-based care facilities requires suitable instruments to evaluate the level of diabetes knowledge among the health-care providers. Thus, the aim of this study was to examine the psychometric properties of the Michigan Diabetes Knowledge Test adapted for use among nursing personnel.

methodsThe study included 127 nursing personnel (32 registered nurses, 69 nursing aides and 26 nursing assistants) at three nursing homes and one home-based care facility in Norway. We examined the reliability and content and construct validity of the Michigan Diabetes Knowledge Test.

resultsThe items in both the general diabetes subscale and the insulin-use subscale were considered relevant and appropriate. The instrument showed satisfactory properties for distinguishing between groups. Item response theory-based measurements and item information curves indicate maximum information at average or lower knowledge scores. Internal consistency and the item-total correlations were quite weak, indicating that the Michigan Diabetes Knowledge Test measures a set of items related to various relevant knowledge topics but not necessarily related to each other.

conclusionsThe Michigan Diabetes Knowledge Test measures a broad range of topics relevant to diabetes care. It is an appropriate instrument for identifying individual and distinct needs for diabetes education among nursing personnel. The knowledge gaps identified by the Michigan Diabetes Knowledge Test could also provide useful input for the content of educational activities. However, some revision of the test should be considered.

Indexed as

DiabetesElderlyMichigan Diabetes Knowledge TestNursing personnel

Identifiers

PMID27366112
PMCPMC4928289

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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.