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Background: Among persons with schizophrenia (PwS), tobacco use is higher in comparison to the general population, contributing to greater morbidity and mortality. Pharmacological interventions combined with psychosocial interventions are effective in tobacco cessation. While the effectiveness of extant psychosocial interventions—when used in isolation—seems limited, developing better combinations of interventions could help treatment providers deliver tobacco cessation services to PwS at different stages of motivation to quit. We aimed to develop a personalized tobacco cessation intervention package (PTCIP) for PwS. Methods: The stage-based intervention package was developed through a systematic review of interventions for tobacco cessation, the authors’ clinical experience, and expert validation. The components of the intervention package, developed for PwS visiting the outpatient psychiatric department, were retained, removed, or added based on the content validity ratio (CVR). Results: The final components included brief advice, principles of motivational interviewing, psychoeducation, decisional balance matrix, positive reinforcement, offering various treatment options, personalized feedback using a smoking-risk calculator, and prediction of cardiovascular risk using the WHO package of essential noncommunicable disease (PEN). The delivery of the intervention package was refined based on pilot testing in eight participants. Conclusion: The tailored package was designed to be delivered by a mental health professional as a single comprehensive 40 min to 45 min face-to-face session, integrated with routine follow-up visits, followed by two telephonic conversations in the second and third week of the initial session. The package needs to be tested in a randomized controlled trial for its effectiveness.

ObjectivesThis study aims to find if the incidence and pattern of traumatic brain injury (TBI) changed during the COVID-19pandemic. We also aim to build an explanatory model for change in TBI incidence using Google community mobility and alcohol sales data.DesignA retrospective time-series analysis.SettingEmergency department of a tertiary level hospital located in a metropolitan city of southern India. This centre is dedicated to neurological, neurosurgical and psychiatric care.ParticipantsDaily counts of TBI patients seen between 1 December 2019 and 3 January 2021 (400 days); n=8893. To compare the profile of TBI cases seen before and during the pandemic, a subset of these cases seen between 1 December 2019 and 31 July 2020 (244 days), n=5259, are studied in detail.ResultsAn optimal changepoint is detected on 20 March 2020 following which the mean number of TBI cases seen every day has decreased and variance has increased (mean 1=29.4, variance 1=50.1; mean 2=19.5, variance 2=59.7, loglikelihood ratio test: χ2=130, df=1, p2=58.1). A significant decrease in traffic accidents, falls, mild/moderate injuries and, an increase in assault and severe injuries is seen during the pandemic period.ConclusionsDecongestion of roads and regulation of alcohol sales can decrease TBI occurrence substantially. An increase in violent trauma during lockdown needs further research in the light of domestic violence. Acute care facilities for TBI should be maintained even during a strict lockdown as the proportion of severe TBI requiring admission increases.