Impact of Certain Socio-clinical Factors on COVID-19 Preventive Measures among Patients with Chronic Respiratory Diseases: A Cross-sectional Study at a Tertiary Care Centre in Southern India

Abstract

Introduction: Chronic respiratory diseases are known risk factors for Coronavirus Disease-2019 (COVID-19) associated morbidity and mortality. With the fourth wave of COVID-19 looming in India, it is crucial to prioritise preventive measures at both individual and community levels. However, following the third wave of COVID-19, adherence to preventive measures has declined. Aim: To assess the socio-clinical factors affecting COVID-19 preventive behaviour among patients with chronic respiratory diseases. Materials and Methods: This cross-sectional observational study was conducted at the outpatient department of Respiratory Medicine, Narayana Medical College Hospital, Nellore, a tertiary care centre in Andhra Pradesh, India from March to April 2022. The estimated sample size was 600 patients. Data was collected using a validated questionnaire, and analysis was performed using the Statistical Package for the Social Sciences (SPSS) version 28.1 {International Business Machines (IBM) Corporation}. The association between independent and dependent variables was assessed using binary logistic regression. Results: A total of 671 patients’ data were analysed. The mean age was 51.45 (±14.397) years, with 390 (58.1%) being male. Among the participants, the prevalence of wearing face masks in workplaces was 47.8%, wearing face masks in public places was 43.6%, frequent hand sanitisation was 39.9%, and maintaining physical distance in public areas was 35.2%. The main factors associated with non adherence were women, rural dwellers, non smokers, patients with co-morbidities, those who had not experienced a detrimental impact of COVID-19 on themselves, and the perception that COVID-19 was a mild disease. Conclusion: Among patients with chronic respiratory diseases, the practice of COVID-19 preventive measures was inadequate. Factors that positively influenced COVID-19 behaviour were being married, having a high school education level or above, and being a smoker. The impact of age varied depending on the type of preventive measure. Socio-economic status had no significant impact.