journal articles
PREPARING THE TRANSITION TO LONG-TERM CARE INSTITUTIONS: A CROSS-SECTIONAL STUDY AND CLUSTER ANALYSIS OF CHARACTERISTICS LINKED TO THE PLACE OF RESIDENCE
J. Chrusciel, S. Zid, V. Suissa, A. Letty, P.-E. Hay, D. Armaingaud, M. Dramé, L. Godaert, S. Sanchez
Jour Nursing Home Res 2020;6:114-119
Background: Entering a NH can represent considerable mental trauma in addition to an increased financial strain. An improved understanding of the psychological issues at play could help professionals to adopt a more empathic attitude. Objectives: the main objective of our study was to identify distinctive profiles of adults aged over 65 in four European countries in order to understand the difficulties associated with the transition to a nursing home. Design: Cross-sectional study and Hierarchical Cluster Analysis. Participants: Retired people from Germany, Belgium, France, and Italy aged 65 or older selected by quota sampling and contacted via an online survey, the Ipsos Poll Institute Access Panel. Methods: Cross-sectional survey. A Principal Components Analysis was performed on the answers to the questionnaire, and clusters were identified by Hierarchical Cluster Analysis using Ward’s method. Measurements: The data was collected using an Internet questionnaire. Results: A total of 4160 subjects aged 65 years or older were selected. Principal component analysis identified six well-defined groups: wealthy homeowners, flexible single people, wealthy Germans, low-income introverts, socially isolated women, Italian homebirds. Conclusions: Understanding the profiles of older Europeans could help healthcare professionals decide how to orient them towards acceptance of their new life in the nursing home.
CITATION:
J. Chrusciel ; S. Zid ; V. Suissa ; A. Letty ; P.-E. Hay ; D. Armaingaud ; M. Dramé ; L. Godaert ; S. Sanchez (2020): Preparing the transition to long-term care institutions: a cross-sectional study and cluster analysis of characteristics linked to the place of residence. The Journal of Nursing Home Research Science (JNHRS). http://dx.doi.org/10.14283/jnhrs.2020.29