Background: Fall is a common morbidity in older persons. In India, the number of old age homes and persons living in them are increasing. We studied the prevalence of fall among older persons living in old age homes. Methods: We did a cross-sectional survey among persons aged 60 years or above, living in old age homes of Delhi, India. Information on location, type and bed-strength was collected for old age homes, and using their combination, 28 clusters of almost equal sizes (25-35) were created, of which, 13 were selected randomly to meet an estimated sample size of 340. All residents of the selected old age homes were recruited for the study. A self-developed, semi-structured interview schedule was used for recording the sociodemographic profile and history of fall in the past 6 months. Logistic regression was used to explore factors that might be associated with fall. Poisson regression was used to model the frequency of incidents of fall. Results: A total of 335 older persons, with mean (SD) age of 75.2 (8.6) years were studied. At least 1 episode of fall was reported by 55 (16.4%), of whom, injury and disability were sustained by 54.5% and 23.3%, respectively. On multivariate logistic regression, for each additional morbidity, odds ratio of fall was 1.5 (95% confidence interval [CI] 1.09-1.95). Multivariate Poisson regression showed that age and tobacco use were significantly associated with the incidents of fall. For each unit increase in age, the incident rate ratio increased by 1.02 times (95% CI 1.01-1.03). Being a past user of tobacco had a statistically significant incident rate of 1.57 times (95% CI 1.01-2.45) compared to non-users of tobacco. Conclusion: One-sixth of individuals living in old age homes had experienced a fall in the past 6 months. Measures should be taken to prevent falls in old age home settings in India.
Background: Fall is a common morbidity in older persons. In India, the number of old age homes and persons living in them are increasing. We studied the prevalence of fall among older persons living in old age homes. Methods: We did a cross-sectional survey among persons aged 60 years or above, living in old age homes of Delhi, India. Information on location, type and bed-strength was collected for old age homes, and using their combination, 28 clusters of almost equal sizes (25-35) were created, of which, 13 were selected randomly to meet an estimated sample size of 340. All residents of the selected old age homes were recruited for the study. A self-developed, semi-structured interview schedule was used for recording the sociodemographic profile and history of fall in the past 6 months. Logistic regression was used to explore factors that might be associated with fall. Poisson regression was used to model the frequency of incidents of fall. Results: A total of 335 older persons, with mean (SD) age of 75.2 (8.6) years were studied. At least 1 episode of fall was reported by 55 (16.4%), of whom, injury and disability were sustained by 54.5% and 23.3%, respectively. On multivariate logistic regression, for each additional morbidity, odds ratio of fall was 1.5 (95% confidence interval [CI] 1.09-1.95). Multivariate Poisson regression showed that age and tobacco use were significantly associated with the incidents of fall. For each unit increase in age, the incident rate ratio increased by 1.02 times (95% CI 1.01-1.03). Being a past user of tobacco had a statistically significant incident rate of 1.57 times (95% CI 1.01-2.45) compared to non-users of tobacco. Conclusion: One-sixth of individuals living in old age homes had experienced a fall in the past 6 months. Measures should be taken to prevent falls in old age home settings in India.