Development and Validation of a Prediction Model for 6-Month Societal Costs in Older Community Care-Recipients in Multiple Countries; the IBenC Study ...

• Main Authors: Lier, Lisanne I Van, Bosmans, Judith E, Roest, Henriëtte G Van Der, Heymans, Martijn W, Vjenka Garms-Homolová, Declercq, Anja, Jónsson, Pálmi V, Hout, Hein PJ Van
• Format: Article in Journal/Newspaper
• Language: unknown
• Published: SAGE Journals 2020
• Subjects: 111799 Public Health and Health Services not elsewhere classified; FOS: Health sciences; Iceland
• Online Access: https://dx.doi.org/10.25384/sage.c.5250760.v1; https://sage.figshare.com/collections/Development_and_Validation_of_a_Prediction_Model_for_6-Month_Societal_Costs_in_Older_Community_Care-Recipients_in_Multiple_Countries_the_IBenC_Study/5250760/1

This study aims to develop and validate a prediction model of societal costs during a period of 6-months in older community care-recipients across multiple European countries. Participants were older community care-recipients from 5 European countries. The outcome measure was mean 6-months total societal costs of resource utilisation (healthcare and informal care). Potential predictors included sociodemographic characteristics, functional limitations, clinical conditions, and diseases/disorders. The model was developed by performing Linear Mixed Models with a random intercept for the effect of country and validated by an internal-external validation procedure. Living alone, caregiver distress, (I)ADL impairment, required level of care support, health instability, presence of pain, behavioural problems, urinary incontinence and multimorbidity significantly predicted societal costs during 6 months. The model explained 32% of the variation within societal costs and showed good calibration in Iceland, Finland ...