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Background: Health-care workers (HCWs) in COVID-19 pandemic have faced the major impact in providing care to infected persons. Most of the studies on mental health impact among HCW have not incorporated paramedical staff. Furthermore, they have not compared psychological morbidity among HCW on the basis of high COVID exposure (HCE) and low COVID exposure (LCE). To address the above gap, this study aimed at evaluating mental health impact among HCW and its associated risk factors. Materials and Methods: Consecutive 200 HCWs each in the HCE and LCE groups (between the age group of 18 and 60 years) were enrolled from two tertiary care hospitals providing COVID-19 treatment from August 1, 2020. After collection of sociodemographic data, participants were administered Impact of Event Scale-Revised, Patient Health Questionnaire-9, and Generalized Anxiety Disorder-7 Scale. Results: The difference in stress, depression, and anxiety symptom scores between the HCE and LCE groups was not statistically significant. Multiple regression analysis revealed that female sex was associated with higher scores in all the three domains. The effect remained significant even after adjusting for effect of other risk factors. Conclusion: HCE or LCE was associated with similar impact in terms of stress, depression, and anxiety among HCWs. Female HCWs had a higher prevalence of stress, depression, and anxiety. Doctors, nurses, and paramedics had a similar prevalence of stress, depression, and anxiety when odds were adjusted.

Background: Postpartum depression (PPD) is one of the most common puerperal psychiatric illnesses impairing quality of life and mental health of the mother and also the child. Aim: The aim is to study the prevalence and risk factors of PPD. Materials and Methods: This cross-sectional observational study was done on a sample of 295 mothers who delivered and were followed up at a tertiary care hospital. The mothers were administered Edinburgh Postnatal Depression Scale, and demographic, psychosocial, and clinical data were collected. Results: The age of the participant mothers ranged from 18 to 35 years and age at marriage ranged from 21 to 24 years. In most of the mothers, the parity was 2 and they had institutional vaginal delivery. The prevalence of PPD in this population of mothers was 30.84%. The factors that had a statistically significant association with PPD included: lower educational status of mother, lower family income, rural place of residence, higher parity, preterm delivery, and adverse events in newborn. Conclusion: PPD is a common mental health problem in the postpartum period. Sociodemographic factors such as low educational status of mothers, rural population, and low monthly family income were found to be associated with PPD. Primipara status, preterm delivery, and adverse events in newborn were also significantly associated.

Background: Understanding the prevalence of a psychiatric disorder among children is essential for formulating sound public health policy. Aim: This study is aimed to estimate the prevalence of depression in urban school-going adolescents and its association with age, sex, and birth order. Materials and Methods: A total of 500 participants in the age group 12–16 years from a working-class community, studying in an urban school, were selected for the study. The children with a score greater than or equal to 19 on the CDI scale were taken for the second phase, and diagnosis of depression was confirmed by a psychiatric consultant through a clinical interview. In clinically diagnosed cases, all help was rendered, including follow-up. Results: The prevalence of clinical depression among school-going children of age group 12–16 years was 8.4%. There was no significant gender difference in the prevalence of clinical depression. Significantly, more children had clinical depression in the age group of 14–16 years than in the 12–14 years of age group. Depressive symptoms were more among children with first birth order. Conclusions: These results show that depression is common in school going urban adolescents in India and highlight the need for screening school-age children for depression so that early intervention can be provided.

Anti-psychotics are the mainstay of treatment for Schizophrenia and psychotic disorders. Historically, anticholinergics have been prescribed to prevent or treat extrapyramidal side effects (EPS) associated with first-generation antipsychotics (FGAs). Even though newer antipsychotics are associated with markedly lower rates of EPS, concurrent anticholinergic use remains high. Use of these medications has potential for long-term side effects, worsening of EPS and poor adherence. We have briefly discussed the limited association between second-generation antipsychotics (SGAs) and EPS, the efficacy of anticholinergics for different types of EPS, and summarized various national and international guidelines on the subject. In conclusion, there is no evidence for prophylactic use of anticholinergics with antipsychotics. Clinicians need to guard against this tendency to be unduly cautious.

Background Pandemics have been associated with widespread psychological distress in the normal population due to quarantine and lockdown, however there are only few studies on psychiatric symptoms in COVID infected patients and their families. This study was planned to assess the depressive, anxiety and stress symptoms in individuals and their families infected with COVID19, during current pandemic. Methods A cross-sectional, observational study was conducted on hospitalised, COVID infected patients and their immediate family members. Ninety-three, COVID patients and fifty-four family members were studied through Google forms which contained socio-demographic proforma and Depression Anxiety Stress Scale-21 (DASS21). Collected data was tabulated to assess depression, anxiety and stress symptoms in the given population and study their relation with various sociodemographic variables. Results Almost one-third of the sample showed increased score on depression and anxiety subscales and one-fifth on stress subscales. 30–45% of the family members studied had higher score on either of the subset. There was also a high correlation between the scores of depression, anxiety and stress subset in the study sample. Conclusion This study, reflects high magnitude of depression, anxiety and stress symptoms in these patients and their families which alert us to the need for definitive interventions in these affected individuals.

COVID-19 pandemic has affected billions of people worldwide. Economies world over have suffered slowdown with a direct impact on industry. The vulnerable industrial worker has suffered both financially and mentally. As the pandemic has begun to slow down, the industry has started showing signs of growth and economy appears to be coming back on track. Financial losses may be recovered in time, but the mental health impact of pandemic is likely to be long-lasting. In the aftermath of COVID-19, mental health needs of vulnerable sections of societies need to be addressed. An attempt has been made to understand the mental health impact of COVID-19 pandemic on industrial workers. Preventive and promotive measures for positive mental health of industrial workers are discussed with a focus on resilience-building.

Competency-based medical education (CBME) has been the mandate by regulatory bodies of medical education in India, and implementation is an evolving process. This study aimed to identify and propose a set of entrustable professional activities (EPAs) for a master's degree in psychiatry. An attempt has been made to present it in the form of a portfolio.Faculty experts in psychiatry went through phases of review to select appropriate EPAs for postgraduate residents from divergent thinking to development of portfolio.One hundred and sixty-seven EPAs were identified and are presented. These were divided according to expertise required. Of these, 54% were considered vital, 30% essential, and 16% desirable.It is envisaged that the use of EPAs and portfolios will be instrumental in implementation and success of CBME in psychiatry. It is expected that medical universities will incorporate them in their curricula. It is also expected that data will be generated to identify challenges, which shall guide future refinement of the EPAs.

Current approaches for service composition (assemblies of atomic services) require developers to use: (a) domain-specific semantics to formalize services that restrict the vocabulary for their descriptions, and (b) translation mechanisms for service retrieval to convert unstructured user requests to strongly-typed semantic representations. In our work, we argue that effort to developing service descriptions, request translations, and matching mechanisms could be reduced using unrestricted natural language; allowing both: (1) end-users to intuitively express their needs using natural language, and (2) service developers to develop services without relying on syntactic/semantic description languages. Although there are some natural language-based service composition approaches, they restrict service retrieval to syntactic/semantic matching. With recent developments in Machine learning and Natural Language Processing, we motivate the use of Sentence Embeddings by leveraging richer semantic representations of sentences for service description, matching and retrieval. Experimental results show that service composition development effort may be reduced by more than 44\% while keeping a high precision/recall when matching high-level user requests with low-level service method invocations., This paper will appear on SCC'19 (IEEE International Conference on Services Computing) on July 13

Fifty million people are affected with dementia worldwide with Alzheimer's disease (AD) accounting for 70%–80% of these cases. In India alone, 4.1 million people suffered from dementia in 2015. To date, there are no definitive treatment options for AD and the overall treatment gap in India stands at 90%. Attempts have been made to define AD biologically. This has been made possible due to advances in the identification of biomarkers that indicate the neuropathological changes responsible for AD. Identification of these biomarkers has implications for disease staging, prognostication, and identifying drug targets. Here, we summarize the advances in the field of biomarkers in AD.

Objective We examined the magnitude and related costs of potentially avoidable hospitalizations including re-hospitalizations for long-stay residents in nursing homes. Design We conducted our investigation as a retrospective cohort study where the cohort comprised individuals who were eligible for Medicare and had spent at least 120 uninterrupted days in a nursing home in New York State between 2004 and 2007. To conduct the study, we linked the Minimum Data Set, Medicare Provider Assessment File and Provider of Service File. Measurements We defined a potentially avoidable hospitalization as one where a resident was admitted to a hospital for which the principle diagnosis was 1 of 15 ambulatory care sensitive (ACS) conditions. Results Although the percentage of total hospitalizations for ACS conditions declined during the study period, 20% or more of annual hospitalizations were for ACS conditions entailing Medicare payments in excess of $450 million. Approximately 40% of the residents who were hospitalized once for an ACS condition were re-hospitalized during the study period for the same or different ACS condition. Conclusion During the study period, potentially avoidable hospitalizations from nursing homes were a common occurrence in New York. A substantial percentage of such hospitalizations involved residents who had been previously hospitalized, in some cases multiple times, for an ACS condition. Although the observed decline in ACS-related hospitalizations suggests improvements in nursing home care, various policy and managerial-level initiatives may be needed to ensure that nursing home residents are not exposed to a substantial risk of avoidable hospitalizations in the future.

Background Although contractors that offer prescription drug plans through the Medicare Part D program are evaluated in part on enrollees' medication adherence scores, little evidence addresses contractors' ability to influence these scores. Objective We used data from the Centers for Medicare and Medicaid Services and US Census to investigate contractors' ability to influence their medication adherence scores. In accordance with a conceptual model, we hypothesized that contractors can directly and indirectly influence their medication adherence scores based on how effectively they manage prescription drug benefits for enrollees. We focused on 4 plan management variables: service reliability, stability/accuracy of drug prices, accessibility of prescription drugs, and availability of drug information. We examined indirect effects via enrollees' satisfaction with the plan. Research design We conducted a cross-sectional study based on 2012 data for which the contractor was the unit of analysis. We conducted path regression models that accounted for plan type (ie, Medicare Advantage vs. stand alone) and enrollee characteristics. Results Among contractors, enrollee satisfaction scores were positively and significantly associated with medication adherence scores. Two of the 4 plan management variables were observed to have both direct and indirect effects on medication adherence scores: accessibility of prescription drugs and service reliability. Conclusions Our study indicates that Part D contractors do appear to have some level of influence over their medication adherence scores based on how effectively they manage prescription drug benefits for enrollees. Accessibility to prescriptions and better service delivery appear important in this regard and should be explored further in future research.

Although value-based purchasing has become a centerpiece of the Medicare program, a persistent concern among participating health care providers and health plans is whether influencing selected per...