Article ; Online: Development and validation of the Children's Competence in Decision-Making Scale.
Nursing children and young people
2019
Abstract: Background: Measuring competence in children's ability to make decisions about their care is laden with conceptual problems. Although there are a variety of tools to measure competence, no scales have been identified that measured competence in children. ...
Abstract | Background: Measuring competence in children's ability to make decisions about their care is laden with conceptual problems. Although there are a variety of tools to measure competence, no scales have been identified that measured competence in children. Aim: To develop, test and validate a scale that measured competence in the decision-making process of children aged 8-12 years with long-term conditions, called the Children's Competence in Decision-Making (CCD-M) Scale. Method: A convergent, sequential, mixed-methods validation design was used. Four stages of scale development were used following recommended procedures. The qualitative arm explored the experiences of being involved in decision-making and these insights were used to develop the scale which was then subject to psychometric testing. Results: Cronbach's α of the overall scale was 0.86, which shows good internal validity. Additionally, the α analysis when items were deleted showed no considerable variation and had no value below 0.7, showing excellent internal validity throughout. No substantial increase in α could be achieved. Conclusion: The CCD-M Scale offers practitioners the ability to test the competence levels of children to decide the extent to which they may want to be involved in the decision-making process. This, in turn, may help to plan care in a more effective way and may have an effect on adherence levels in self-management of illness. |
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Language | English |
Publishing date | 2019-09-16 |
Publishing country | England |
Document type | Journal Article |
ZDB-ID | 2603456-6 |
ISSN | 2046-2344 ; 2046-2336 |
ISSN (online) | 2046-2344 |
ISSN | 2046-2336 |
DOI | 10.7748/ncyp.2019.e1170 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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