Publications by authors named "Rozatkar Abhijit"

Disulfiram is a US FDA-approved medication for the management of alcohol use disorder. However, compliance with disulfiram has been the Achilles' heel of its efficacy. Implantation and surreptitious administration of disulfiram are two methods occasionally used to ensure disulfiram compliance.

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Background: Alcohol use disorder (AUD) causes significant morbidity and mortality. Prescription of AUD pharmacotherapies remains low. Attitudes toward AUD pharmacotherapies influence their prescription rates.

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Introduction: Alcohol use disorder (AUD) is a significant cause of morbidity and mortality globally. However, uptake of AUD pharmacotherapies among clinicians has remained low. There exists a research gap regarding clinician attitudes and the diffusion of AUD pharmacotherapies among Indian clinicians.

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Backgrounds: Research shows that medical students' knowledge and skills concerning the assessment of cognition in various neuropsychiatric conditions (e.g., Alzheimer's disease and schizophrenia) are unsatisfactory.

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Importance: Currently, 30-50 % of individuals with depression and 40 % with anxiety-collectively referred to as common mental disorders (CMDs), exhibit inadequate responses to antidepressant treatments.

Objective: To assess the effectiveness and safety of drug-metabolizing enzyme pharmacogenetic variation informed treatment (PGxIT) versus usual antidepressant treatment (UT) in patients with CMDs.

Data Sources: A literature search was conducted in the MEDLINE, Scopus, and Cochrane Library databases from inception until January 30, 2024.

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Substance Use Disorders (SUDs) are a major cause of global mortality and morbidity. In India, Alcohol Use Disorder is among the most prevalent of these [1]. Inadequate knowledge about the illness and its treatment, lack of resources, and regressive government policies (criminalisation of drug use itself and lack of prioritisation for SUD treatment) are among the reasons for the large gap between the need for facilities and their availability [2].

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Traditional cognitive assessments in schizophrenia are time-consuming and necessitate specialized training, making routine evaluation challenging. To overcome these limitations, this study investigates the feasibility and advantages of utilizing smartphone-based assessments to capture both cognitive functioning and digital phenotyping data and compare these results to gold standard measures. We conducted a secondary analysis of data from 76 individuals with schizophrenia, who were recruited across three sites (one in Boston, two in India) was conducted.

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Context In the context of healthcare, effective communication and empathy are fundamental skills for physicians, as empathy correlates positively with patient satisfaction, compliance, treatment adherence, and lower rates of physician burnout, depression and anxiety. This study aimed to assess empathy levels and related factors among undergraduate medical students. Methods A cross-sectional study in a Central Indian medical institute examined empathy levels and factors associated with it among medical students, utilizing various scales and statistical analyses.

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Introduction: Clinical assessment of mood and anxiety change often relies on clinical assessment or self-reported scales. Using smartphone digital phenotyping data and resulting markers of behavior (e.g.

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Objectives: Fibromyalgia syndrome (FMS) is characterized by persistent widespread pain which greatly impacts the quality of life (QOL). Pain not only limits patients' daily activities but also restricts their social activities further leading to depression, anxiety, and stress. The present cross-sectional study elucidated the association of sleep quality and mood with increasing symptom severity of fibromyalgia and its impact on the QOL of fibromyalgia patients.

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Background: Post-stroke cognitive impairment (PSCI) is a clinical entity that encompasses all types of cognitive impairment following an index stroke. Yoga has been proven to have a beneficial effect not only on cardiovascular risk factors but also on cognition. Hence, this study explored the PSCI spectrum and assessed the effect of yoga on PSCI.

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Smartphone technology provides us with a more convenient and less intrusive method of detecting changes in behavior and symptoms that typically precede schizophrenia relapse. To take advantage of the aforementioned, this study examines the feasibility of predicting schizophrenia relapse by identifying statistically significant anomalies in patient data gathered through mindLAMP, an open-source smartphone app. Participants, recruited in Boston, MA in the United States, and Bangalore and Bhopal in India, were invited to use mindLAMP for up to a year.

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Introduction: About 3.5 million people are living with schizophrenia in India, with most failing to receive minimally adequate care. Digital mental health applications could potentially decrease this treatment gap; however, these applications should be tailored to meet the needs and overcoming barriers of its end-users to ensure their adoption and sustained usage.

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Background: Workforce shortages pose major obstacles to the timely detection and treatment of schizophrenia, particularly in low-income and middle-income countries. The SARATHA (Schizophrenia Assessment, Referral, and Awareness Training for Health Auxiliaries) project involves the systematic development, iterative refinement, and pilot testing of a digital program for training community health workers in the early detection and referral of schizophrenia in primary care settings in rural India.

Methods: SARATHA is a three-phase study.

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Objective: To examine feasibility and acceptability of smartphone mental health app use for symptom, cognitive, and digital phenotyping monitoring among people with schizophrenia in India and the United States.

Methods: Participants in Boston, USA and Bhopal and Bangalore, India used a smartphone app to monitor symptoms, play cognitive games, access relaxation and psychoeducation resources and for one month, with an initial clinical and cognitive assessment and a one-month follow-up clinical assessment. Engagement with the app was compared between study sites, by clinical symptom severity and by cognitive functioning.

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 Treatment for mental health problems is determined by cultural, health infrastructure, and illness-related factors. Literature is sparse from India, particularly from the mental health resources-deficient regions of the country such as central India. Therefore, the current study is aimed at assessing the profile of the patients visiting the psychiatry outpatient facility (OPF) of a tertiary-care general hospital setting (GHS), their referral patterns, and their determinants.

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Objective: Literature investigating the change in psychological problems of the health care workers (HCWs) throughout the coronavirus disease (COVID-19) pandemic is lacking. We aimed at comparing the psychological problems and attitudes toward work among HCWs over two waves of the COVID-19 pandemic in India.

Methods: A survey was conducted involving HCWs (n = 305, first wave, 2020; n = 325, second wave, 2021).

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Background: Medical students are at an increased risk of developing substance use and related problems (SURP) because of the inherent stress associated with the professional medical course apart from the developmental risk factors. However, this is under-researched. Moreover, a comprehensive review on the prevalence of SURP among the medical undergraduates (UGs) and associated factors is lacking from India.

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Background: Despite significant advancements in healthcare technology, digital health solutions - especially those for serious mental illnesses - continue to fall short of their potential across both clinical practice and efficacy. The utility and impact of medicine, including digital medicine, hinges on relationships, trust, and engagement, particularly in the field of mental health. This paper details results from Phase 1 of a two-part study that seeks to engage people with schizophrenia, their family members, and clinicians in co-designing a digital mental health platform for use across different cultures and contexts in the United States and India.

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Background: Preliminary reports suggest that during the COVID-19 pandemic, telecounseling could be an effective model of psychological intervention for the frontline healthcare workers (fHCW) with psychological problems. Literature is sparse in this area, particularly from low- and middle-income countries, including India. We aimed to investigate the feasibility and the effectiveness of telecounseling (vs.

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 Mental health care needs of urban, rural, and tribal regions of India are varied and challenging, which require region-specific approaches. A significant treatment gap calls out for a state-wise introspection of existing service delivery models to cater to the specific mental health needs. In Madhya Pradesh, key findings were noted from a camp conducted in one of the tribal districts.

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