Measuring next of kin´s experience of participation in the care of older people in nursing homes

Creator/Principal investigator(s):

Lund University, Department of Health Sciences

Albert Westergren - Kristianstad University

Description:

We sought to assess the measurement properties of items aimed at operationalizing participation in care by next of kin, applied in nursing homes.

Keywords:

Principal organisation:

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Responsible department/unit:

Kristianstad University, Faculty of Health Science

Creator/Principal investigator(s):

Lund University, Department of Health Sciences

Albert Westergren - Kristianstad University

Contributor(s):

Lund University, Department of Health Sciences

Identifiers:

SND-ID: SND 1135

Description:

We sought to assess the measurement properties of items aimed at operationalizing participation in care by next of kin, applied in nursing homes.

Language:

English

Geographic spread:

Geographic location: Scania

Unit of analysis:

Population:

next of kin of older people in nursing homes

Study design:

Cross-sectional study

Description of study design:

Cross-sectional study, questionnaire, psychometric analysis, Rasch analysis

Sampling procedure:

Other

Ethics Review:

Lund — Ref. 2015/69

Keywords:

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Version 1.0:

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Measuring next of kin´s experience of participation in the care of older people in nursing homes

Suggested citation:

Albert Westergren, Lund University, Department of Health Sciences. Kristianstad University, Faculty of Health Science (2020). Measuring next of kin´s experience of participation in the care of older people in nursing homes. Swedish National Data Service. Version 1.0. https://doi.org/10.5878/8mj1-3y24

Creator/Principal investigator(s):

Lund University, Department of Health Sciences

Albert Westergren - Kristianstad University

Description:

Data file 1: SPSS file (.sav) with sex, age category, contact person, 37 items aimed to capture participationin care.
Data file 2: Excel (.xlsx) transformation tables from raw total scores, to linear logits, to linearised total scors with the same range as the original scores.
Data file 3: File (.rum) for Rasch model analysis, prepared for RUMM2030.

Data format / data structure:

Numeric

Variables:

40

Number of individuals/objects:

260

Published: 2020-01-13
Last updated: 2020-01-17