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.

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

Download metadata

Version 1.0

Download data

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). <em>Measuring next of kin´s experience of participation in the care of older people in nursing homes</em>. Swedish National Data Service. Version 1.0. <a href="https://doi.org/10.5878/8mj1-3y24">https://doi.org/10.5878/8mj1-3y24</a>

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