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

SND-ID: SND 1135

Description Data and documentation

Creator/Principal investigator(s)

Albert Westergren - Kristianstad University

Lund University, Department of Health Sciences

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

Research principal, contributors, and funding

Research principal

Kristianstad University

Contributor(s)

Lund University, Department of Health Sciences

Protection and ethical review

Ethics Review

Lund - Ref. 2015/69

Method

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
Consecutive
Geographic coverage

Geographic spread

Geographic location: Scania

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

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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.

Version 1.0

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>

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Data format / data structure

Numeric

Creator/Principal investigator(s)

Albert Westergren - Kristianstad University

Lund University, Department of Health Sciences

Variables

40

Number of individuals/objects

260

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