Hospitalized older adult: predictors of functional decline. Tavares JPdA, et al, Rev Lat Am Enfermagem 2021.
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Résumé et points clés
Objective: to identify the predictors of functional decline in hospitalized individuals aged 70 or over, between: baseline and discharge; discharge and follow-up, and baseline and three-month follow-up.
Method: a prospective cohort study conducted in internal medicine services. A questionnaire was applied (clinical and demographic variables, and predictors of functional decline) at three moments. The predictors were determined using the binary logistic regression model.
Results: the sample included 101 patients, 53.3% female, mean age of 82.47 ± 6.57 years old. The predictors that most contributed to decline in hospitalization were the following: previous hospitalization (OR=1.8), access to social support (OR=4.86), cognitive deficit (OR=6.35), mechanical restraint (OR=7.82), and not having a partner (OR=4.34). Age (OR=1.18) and medical diagnosis (OR=0.10) were the predictors between discharge and follow-up. Being older, delirium during hospitalization (OR=5.92), and presenting risk of functional decline (OR=5.53) were predictors of decline between the baseline and follow-up.
Conclusion: the most relevant predictors were age, previous hospitalization, cognitive deficit, restraint, social support, not having a partner, and delirium. Carrying out interventions aimed at minimizing the impact of these predictors can be an important contribution in the prevention of functional decline.
Références de l'article
- Hospitalized older adult: predictors of functional decline.
- Hospitalized older adult: predictors of functional decline.
- Tavares JPdA, Nunes LANV, Grácio JCG
- Revista latino-americana de enfermagem
- 2021
- Rev Lat Am Enfermagem. 2021 Jan 8;29:e3399. doi: 10.1590/1518-8345.3612.3399. eCollection 2021.
- Activities of Daily Living, Aged, Aged, 80 and over, *Delirium, Female, Hospitalization, Humans, Male, Patient Discharge, Prospective Studies, Risk Factors
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- DOI: 10.1590/1518-8345.3612.3399
- PMID: 33439951
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