Unknown

Dataset Information

0

Validation of the instrument "Complexity of Nursing Care"-A mixed-methods study.


ABSTRACT: Aims:This study aimed to psychometrically test the instrument "Complexity of Nursing Care" and to broaden the understanding of the instrument's psychometrics and applicability. Design:Embedded mixed-methods design. Methods:We performed a cross-sectional study assessing all stationary patients of five Swiss hospitals daily for up to 5 days with the instrument "Complexity of Nursing Care" over a 1-month period in 2015. The scale's psychometrics were analysed using partial least square structural equation modelling. In the qualitative study section, we completed 12 case studies and analysed them case-wise and across cases. Quantitative and qualitative results were synthesized in tables. Results:Structural equation modelling confirmed a reflective-formative second-order model of the instrument with good psychometric properties leading to a formula for the calculation of a complexity score. Qualitative results evolved descriptions of low and high extent of complexity. Narrative considerations of two raters deepened the understanding of the inter-rater reliability.

SUBMITTER: Huber E 

PROVIDER: S-EPMC6917930 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature

altmetric image

Publications

Validation of the instrument "Complexity of Nursing Care"-A mixed-methods study.

Huber Evelyn E   Kleinknecht-Dolf Michael M   Kugler Christiane C   Müller Marianne M   Spirig Rebecca R  

Nursing open 20190927 1


<h4>Aims</h4>This study aimed to psychometrically test the instrument "Complexity of Nursing Care" and to broaden the understanding of the instrument's psychometrics and applicability.<h4>Design</h4>Embedded mixed-methods design.<h4>Methods</h4>We performed a cross-sectional study assessing all stationary patients of five Swiss hospitals daily for up to 5 days with the instrument "Complexity of Nursing Care" over a 1-month period in 2015. The scale's psychometrics were analysed using partial lea  ...[more]

Similar Datasets

| S-EPMC10704656 | biostudies-literature
| S-EPMC8113844 | biostudies-literature
| S-EPMC6720143 | biostudies-literature
| S-EPMC9141775 | biostudies-literature
| S-EPMC8300979 | biostudies-literature
| S-EPMC9566517 | biostudies-literature
| S-EPMC4080686 | biostudies-literature
| S-EPMC5709925 | biostudies-literature
| S-EPMC9292992 | biostudies-literature
| S-EPMC10012662 | biostudies-literature