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Assessing nursing staff’s competences in mobility support in nursing-home care: development and psychometric testing of the Kinaesthetics Competence (KC) observation instrument

Overview of attention for article published in BMC Nursing, November 2016
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Title
Assessing nursing staff’s competences in mobility support in nursing-home care: development and psychometric testing of the Kinaesthetics Competence (KC) observation instrument
Published in
BMC Nursing, November 2016
DOI 10.1186/s12912-016-0185-z
Pubmed ID
Authors

Heidrun Gattinger, Helena Leino-Kilpi, Virpi Hantikainen, Sascha Köpke, Stefan Ott, Beate Senn

Abstract

Between 75 and 89% of residents living in long-term care facilities have limited mobility. Nurses as well as other licensed and unlicensed personnel directly involved in resident care are in a key position to promote and maintain the mobility of care-dependent persons. This requires a certain level of competence. Kinaesthetics is a training concept used to increase nursing staff's interaction and movement support skills for assisting care-dependent persons in their daily activities. This study aims to develop and test an observation instrument for assessing nursing staff's competences in kinaesthetics. The Kinaesthetics Competence (KC) observation instrument was developed between January and June 2015 based on a literature review, a concept analysis and expert meetings (18). The pilot instrument was evaluated with two expert panels (n = 5, n = 4) regarding content validity, usability and inter-rater agreement. Content validity was assessed by determining the content validity index (CVI). The final instrument was tested in a cross-sectional study in three nursing homes in the German-speaking part of Switzerland between July 2015 and February 2016. In this study nursing staff (n = 48) was filmed during mobilization situations. Based on this video data two observers independently assessed nursing staff's competences in kinaesthetics with the KC observation instrument. Inter-rater reliability and inter-rater agreement was evaluated using the intra-class correlation coefficient (ICC) and percentage of agreement. Construct validity was assessed by a discriminating power analysis. Internal consistency was evaluated using Cronbach's alpha coefficient and item analysis. The final version of the KC observation instrument comprised of four domains (interaction, movement support of the person, nurses' movement, environment) and 12 items. The final instrument showed an excellent content validity index of 1.0. Video sequences from 40 persons were analysed. Inter-rater reliability for the whole scale was good (ICC 0.73) and the percentage of inter-rater agreement was 53.6% on average. Cronbach's alpha coefficient for the whole instrument was 0.97 and item-total correlations ranged from 0.76 to 0.90. The construct validity of the instrument was supported by a significant discrimination of the instrument between nursing staff with no or basic and with advanced kinaesthetics training for the total score and 3 of 4 subscales. The KC observation instrument showed good preliminary psychometric properties and can be used to assess nursing staff's competences in mobility care based on the principles of kinaesthetics.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 48 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 17%
Student > Bachelor 6 13%
Student > Doctoral Student 5 10%
Student > Ph. D. Student 5 10%
Lecturer 3 6%
Other 8 17%
Unknown 13 27%
Readers by discipline Count As %
Nursing and Health Professions 10 21%
Engineering 4 8%
Sports and Recreations 3 6%
Medicine and Dentistry 3 6%
Social Sciences 3 6%
Other 9 19%
Unknown 16 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 January 2017.
All research outputs
#20,359,475
of 22,908,162 outputs
Outputs from BMC Nursing
#653
of 753 outputs
Outputs of similar age
#348,894
of 415,139 outputs
Outputs of similar age from BMC Nursing
#15
of 15 outputs
Altmetric has tracked 22,908,162 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 753 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.