Profile of hospitalised elderly patients in Belgium—Analysis of factors affecting hospital costs
| Autor: | Dimitri Martins, Magali Pirson, Julie De Foor, Pol Leclercq, Christelle Senterre |
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| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Old inpatients
Economics and Econometrics medicine.medical_specialty Age categories Epidemiological description 03 medical and health sciences Hospital Elderly Older patients Démographie 0502 economics and business Linear regression Medicine 050207 economics Life-span and Life-course Studies Administrative database Téléinformatique interconnexion ordinateurs business.industry 030503 health policy & services 05 social sciences Hospital cost Emergency department After discharge Charlson comorbidity index Emergency medicine 0305 other medical science business Hospital costs Hospital length of stay Hospital stay |
| Zdroj: | The Journal of the Economics of Ageing, 15 |
| Popis: | Introduction: The objectives of this research are (i) to describe the medicoadministrative profiles of inpatients aged 65 and over and (ii) to determine the main hospitalisation-related diseases in order (iii) to assess and identify predictors influencing hospital costs and lengths of stay thanks to data collected in hospital administrative databases. Methods: The study is based on 45,469 hospital stays of inpatients aged 65 and over, with data collected among ten Belgian general hospitals in 2014. We conduct a linear regression in order to isolate factors influencing hospital costs and length of stay. Results: The mean length of stay (SD) for older patients (65+) is 11 days (18.17) and the mean hospitalisation cost (SD) €6706 (9422). The main predictor of hospital costs is the length of stay. A linear regression (n = 41,348, R2 = 0.4520) reveals that predictors of a longer LOS for hospitalised older patients are: to be a male, to come from another hospital, to be sent to hospital by a general practitioner, to be admitted through the emergency department, to undergo a surgical procedure, to suffer from a major or extreme SOI or run a major or extreme mortality risk, to have a high score on the Charlson Comorbidity Index (CCI), to stay in an ICU, to belong to older age categories (85+), and to be institutionalised after discharge. Conclusion: Advanced age is by itself only a weak predictor of hospital cost, but it is a good predictor of a longer hospital stay. SCOPUS: ar.j info:eu-repo/semantics/published |
| Databáze: | OpenAIRE |
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