ADL Recovery Trajectory after Discharge and its Predictors among Baseline-Independent Older Inpatients

Abstract

Background Among the previous studies about the ADL recovery and its predictors, the researches and resources used to study and protect the baseline-independent older patients from being permanently ADL-dependent was few. We aimed to describe the level of activities of daily living (ADL) at discharge and ADL change within 6 months after discharge in older patients who were ADLindependent before admission but became dependent because of acute illness, and to identify the predictors of early rehabilitation,so as to provide the basis to early intervention.Methods Stratified cluster sampling was used to recruit 520 hospitalised older patients who were ADL-independent from departments of internal medicine at two tertiary hospitals from August 2017 to May 2018. Demographics, clinical data, and ADL status at 1, 3, and 6 months after discharge were collected. Data were analysed using descriptive statistics, Student's t-test, Pearson's chi-square test,Spearman's correlation analysis, binary logistic regression analysis, and receiver operating characteristic (ROC) curve analysis.Results There were 403 out of 520 patients completing the 6-month follow-up, and 229 (56.8%) regained independence at 6 months after discharge. There was an overall increasing trend in ADL with time. The recovery rate was the highest within the first month after discharge, gradually declined after 1 month, and changed less obviously from 3 to 6 months after discharge (p<0.001). ADL score at discharge (OR=1.034, p<0.001), age (OR=0.269, p=0.001), post-discharge residence (OR=0.390, p<0.05), and cognition status at discharge (OR=1.685, p<0.05) were predictors of ADL recovery. The area under the curve of the four predictors combined was 0.763 (p<0.001).Conclusion Studying ADL recovery rate and its predicting indicators of the baseline independent inpatients at different time points provide a theoretical reference for the formulation of nursing plans and allocation of care resources.