Resilience level, its determinants and its effect on psychological well-being: A cross-sectional evaluation among school-going adolescents of Patna, Bihar, India.

BACKGROUND: Adolescents with higher resilience levels are reported to be less vulnerable to psychological illnesses. The study examined resilience level, its determinants and its effect on psychological well-being among school-going adolescents of Patna, Bihar, India. METHODS: Adopting cross-sectional design we examined resilience levels among the study participants reading in the sixth, seventh and eighth standards of selected schools of Patna district using the Child Youth Resilience Measure-Revised questionnaire during March 2021. Psychological well-being was assessed using Patient Health Questionnaire-4. Data of in total 468 enrolled participants were analysed using SPSS 22.0. RESULTS: The mean resilience score was observed to be 62.4 ± 8.8. In multiple linear regression analysis using backward method; increasing age (unstandardised beta [ß]: 0.564, standard error [SE]: 0.271, P: 0.038), male gender (ß: 2.753, SE: 0.775, P < 0.001), high per capita monthly family income (≥18 USD [median]) (ß: 1.829, SE: 0.743, P: 0.014), academic satisfaction (ß: 2.003, SE: 0.962, P: 0.038), no history of abuse (physical or mental) in the past 30 days (ß: 2.752, SE: 1.220, P: 0.025) and increasing self-esteem score (measured by Rosenberg Self-Esteem Scale) (ß: 0.808, SE: 0.098, P: < 0.001) were found to be positive determinants of the total resilience level. Resilience was found to be positively correlated with psychological well-being (spearman rho correlation co-efficient [ρ]: 0.363, P < 0.001). CONCLUSIONS: Abuse, academic satisfaction and self-esteem were the modifiable determinates of resilience that could be elucidated in this investigation. Resilience level positively influenced psychological well-being.

Early Determinants of Length of Hospital Stay: A Case Control Survival Analysis among COVID-19 Patients admitted in a Tertiary Healthcare Facility of East India.

BACKGROUND: Length of hospital stay (LOS) for a disease is a vital estimate for healthcare logistics planning. The study aimed to illustrate the effect of factors elicited on arrival on LOS of the COVID-19 patients. MATERIALS AND METHODS: It was a retrospective, record based, unmatched, case control study using hospital records of 334 COVID-19 patients admitted in an East Indian tertiary healthcare facility during May to October 2020. Discharge from the hospital (cases/survivors) was considered as an event while death (control/non-survivors) as right censoring in the case-control survival analysis using cox proportional hazard model. RESULTS: Overall, we found the median LOS for the survivors to be 8 days [interquartile range (IQR): 7-10 days] while the same for the non-survivors was 6 days [IQR: 2-11 days]. In the multivariable cox-proportional hazard model; travel distance (>16 km) [adjusted hazard ratio (aHR): 0.69, 95% CI: (0.50-0.95)], mode of transport to the hospital (ambulance) [aHR: 0.62, 95% CI: (0.45-0.85)], breathlessness (yes) [aHR: 0.56, 95% CI: (0.40-0.77)], number of co-morbidities (1-2) [aHR: 0.66, 95% CI: (0.47-0.93)] (≥3) [aHR: 0.16, 95% CI: (0.04-0.65)], COPD/asthma (yes) [ [aHR: 0.11, 95% CI: (0.01-0.79)], DBP (<60/≥90) [aHR: 0.55, 95% CI: (0.35-0.86)] and qSOFA score (≥2) [aHR: 0.33, 95% CI: (0.12-0.92)] were the significant attributes affecting LOS of the COVID-19 patients. CONCLUSION: Factors elicited on arrival were found to be significantly associated with LOS. A scoring system inculcating these factors may be developed to predict LOS of the COVID-19 patients.