• Maryam Chehrehgosha, VatanReza FadayeRFDepartment of Gerontology, Faculty of Gerontology, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran., Alizadeh KhoeiMahtabMDepartment of Clinical Gerontology and Geriatric, Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran., Farshad Sharifi, Reyhaneh Aminalroaya, Zahra Vahabi, Abolfazl Zendedel, and Hamidreza Hekmat.
• Department of Gerontology, Faculty of Gerontology, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran, Department of Surgical Technology, Faculty of Paramedical Sciences, Golestan University of Medical Sciences, Gorgan, Iran.
• Turk J Med Sci. 2021 Oct 21; 51 (5): 232423332324-2333.

Background/AimFrailty is associated with an increased risk of negative short-term and long-term hospital outcomes. This study aimed to evaluate the role of frailty in predicting readmission, length of stay, and quality of life in the hospitalized older adults.Materials And MethodsThis observational study was conducted at Ziaiyan Hospital, Tehran, Iran. In total, 304 participants (65–85 years), were enrolled through the inclusion criteria from August to December 2019. The frailty index (FI) was assessed by the minimum data set-home care. Readmission was obtained through telephone interviews. The length of stay was gathered by the patient’s hospital records, and the EuroQol questionnaire was used for assessing the quality of life. Data were collected by a researcher nurse at the admission time, 30, 60, and 90 days after discharge. The logistic regression model and repeated measures ANOVA were employed to analyze the association between frailty and outcomes.ResultsAccording to FI, 102 (33.55%) participants were pre-frail, whereas 35 (11.51%) were frail. In the fully-adjusted model for readmission, the pre-frail participants had a higher risk of readmission at the hospital in comparison with the nonfrail and frail groups (OR = 1.88, 95% CI = 1.90–3.26), and also for GP visits, frail patients showed nearly significant differences (OR = 2.45, 95% CI = 0.99–6.06) but there were no differences between frail and pre-frail patients in readmissions in the emergency ward. In a fully-adjusted prolonged stay model, pre-frail patients had a higher probability to stay longer in hospital (OR = 2.28, 95% CI: 1.24–4.18). The fully-adjusted model for QoL showed, frail patients were more prone to the declined levels of QoL in comparison with pre-frail patients (OR = 10.77, 95% CI: 3.97–29.18).ConclusionsThe findings indicated that frailty worsened negative outcomes and declined QoL. Early diagnosis in hospital settings could be beneficial for designing optimal care plans for the frail and pre-frail patients.This work is licensed under a Creative Commons Attribution 4.0 International License.

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