Hospital frailty risk score and adverse health outcomes: evidence from longitudinal record linkage cardiac data.
Background Despite recent evidence on the effect of frailty on health outcomes among those with heart failure, there is a dearth of knowledge on measuring frailty using administrative health data on a wide range of cardiovascular diseases (CVD). Methods We conducted a retrospective record-linkage co...
| Publicado en: | Age & Ageing Vol. 50; no. 5; pp. 1778 - 1785 |
|---|---|
| Autores principales: | , , , |
| Formato: | Artículo |
| Publicado: |
Oxford University Press / USA
Sep2021
|
| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=152460621&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 152460621 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00020729 AGA jtl: Age & Ageing issn: 00020729 maglogo: N pubinfo: dt: Sep2021 vid: 50 iid: 5 pid: 622 pub: Oxford University Press / USA artinfo: ui: 152460621 10.1093/ageing/afab073 ppf: 1778 ppct: 7 formats: tig: atl: Hospital frailty risk score and adverse health outcomes: evidence from longitudinal record linkage cardiac data. aug: au: Nghiem, Son Afoakwah, Clifford Scuffham, Paul Byrnes, Joshua affil: Centre for Applied Health Economics , Griffith University, Level 1-2, N78, 170 Kessels Rd. Nathan QLD 4111, Australia Menzies Health Institute Queensland , Griffith University, Level 8 G40, Griffith Health Centre, Gold Coast Campus, Australia su: Australia Evaluation of medical care Mortality Retrospective studies Medical care costs Cardiovascular diseases risk factors Length of stay in hospitals Statistics Frail elderly Hospital emergency services Patient readmissions Risk assessment Descriptive statistics Adverse health care events Logistic regression analysis Heart failure sug: subj: Evaluation of medical care Mortality Retrospective studies Medical care costs Australia Cardiovascular diseases risk factors Length of stay in hospitals Statistics Frail elderly Hospital emergency services Patient readmissions Risk assessment Descriptive statistics Adverse health care events Logistic regression analysis Heart failure keyword: adverse health outcomes cardiovascular diseases hospital frailty risk score linkage data older people adverse health outcomes cardiovascular diseases hospital frailty risk score linkage data older people ab: Background Despite recent evidence on the effect of frailty on health outcomes among those with heart failure, there is a dearth of knowledge on measuring frailty using administrative health data on a wide range of cardiovascular diseases (CVD). Methods We conducted a retrospective record-linkage cohort study of patients with diverse CVD in Queensland, Australia. We investigated the relationship between the risk of frailty, defined using the hospital frailty risk score (HFRS), and 30-day mortality, 30-day unplanned readmission, non-home discharge, length of hospital stay (LOS) at an emergency department and inpatient units and costs of hospitalisation. Descriptive analysis, bivariate logistic regression and generalised linear models were used to estimate the association between HFRS and CVD outcomes. Smear adjustment was applied to hospital costs and the LOS for each frailty risk groups. Results The proportion of low, medium and high risk of frailty was 24.6%, 34.5% and 40.9%, respectively. The odds of frail patients dying or being readmitted within 30 days of discharge was 1.73 and 1.18, respectively. Frail patients also faced higher odds of LOS, and non-home discharge at 3.1 and 2.25, respectively. Frail patients incurred higher hospital costs (by 42.7–55.3%) and stayed in the hospital longer (by 49%). Conclusion Using the HFRS on a large CVD cohort, this study confirms that frailty was associated with worse health outcomes and higher healthcare costs. Administrative data should be more accessible to research such that the HFRS can be applied to healthcare planning and patient care. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
|---|