Missing data at follow-up: The case of the interRAI home care assessment instrument in Belgium
| Autor: | C. Van Audenhove, Dirk Vanneste, Anja Declercq, J de Almeida Mello, Jean Macq |
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| Přispěvatelé: | UCL - SSS/IRSS - Institut de recherche santé et société |
| Rok vydání: | 2016 |
| Předmět: |
Gerontology
BelRAI Descriptive statistics business.industry Institutionalisation Missing data 030503 health policy & services Psychological intervention Context (language use) Sample (statistics) Loss to follow-up InterRAI Geriatric assessment 03 medical and health sciences Dropouts 0302 clinical medicine Relative risk Medicine Observational study 030212 general & internal medicine Geriatrics and Gerontology 0305 other medical science business |
| Zdroj: | European Geriatric Medicine, Vol. 7, no.4, p. 322-327 (2016) |
| ISSN: | 1878-7649 |
| DOI: | 10.1016/j.eurger.2016.03.004 |
| Popis: | Background In Belgium, a web application BelRAI was developed to support the use of interRAI Home Care assessments. However, not all clients have had a follow-up assessment. Objectives To examine the prevalence of incomplete assessments at 6-month follow-up and to compare the profiles of persons with and without missing data. Design Observational study of interRAI Home Care data and data from the Belgian Intermutuality Agency. Setting Home care in Belgium. Participants Healthcare professionals using BelRAI in the context of an evaluation of home care interventions to delay institutionalization of frail older people. Methods Descriptive statistics were calculated based on demographic characteristics and outcome measures. Poisson regressions for the relative risk of institutionalization and for the relative risk of death were performed for a period of 6 and 12 months. Results In a sample of 4987 persons (mean age 79.90), two groups were determined: a group without and a group with missing data at 6-month follow-up. At baseline, the group with missing data at follow-up has a worse health status than the group without missing data. Persons with missing data at 6-month follow-up had a 3.63 higher chance of dying between 6 and 12 months after baseline, a 3.43 higher chance for institutionalization at 6 months, and a 2.87 higher chance for institutionalization at 12 months. Conclusion In this study, missing data at follow-up is not a random occurrence. The findings are important for healthcare professionals and for researchers working with longitudinal data. Further study is required to research possible solutions. |
| Databáze: | OpenAIRE |
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