ABSTRACT
Background The delivery of mental health services largely depends on the adequacy of human resources. In India, the deficit of psychiatrists is more than 90% and is one of the major challenges that needs to be tackled to address the huge burden of mental illness. Psychiatry trainee institutes play a vital role in reducing human resource deficit and inequality in delivering mental health care. However, the distribution pattern of psychiatry trainee seats and institutes across Indian states is unknown. Therefore, we estimated the number of psychiatry trainee seats and institutes in each Indian state and union territory (UT). Materials and Methods In this cross-sectional study, psychiatry trainee seats and institutes were searched on the official web sites of Medical Council of India and National Board of Examinations. The data available on these web sites until December 2019 were included. State-wise data were compared using proportion and percentages. The psychiatry trainee index (PTI) was calculated and compared across Indian states and UTs. Results Among 221 Indian psychiatry trainee institutes considered in the present study, 116 (52.48%) were private institutes and 105 (47.51%) were government institutes. Overall, more psychiatry trainee seats were reported in government institutes ( n = 565, 65.89%) than in private institutes. National PTI was considered fair (0.06), and based on their PTIs, Indian states and UTs were classified as follows: worst ( n = 9), poor ( n = 8), fair ( n = 9), average ( n = 7), good ( n = 1), and excellent ( n = 2). Conclusion A huge deficit of psychiatry trainees and institutes exists in more than two-thirds of Indian states and UTs, along with a huge maldistribution of seats. PTI and its distribution across the states and UTs are a crucial indicator of the need to improve the access and equity of mental health care.
ABSTRACT
Objective Panic disorder (PD) is associated with changes in platelet and red blood cell (RBC) indices. However, the diagnostic or predictive value of these indices is unknown. This study assessed the diagnostic and discriminating value of platelet and RBC indices in patients with PD. Materials and Methods In this cross-sectional study including patients with PD ( n = 98) and healthy controls ( n = 102), we compared the following blood indices: mean platelet volume (MPV), platelet distribution width (PDW), and RBC distribution width (RDW). The receiver operating characteristic (ROC) curve was used to calculate the area under the ROC curve (AUC), sensitivity, specificity, and likelihood ratio for the platelet and RBC indices. Results Statistically significant increase in PDW (17.01 ± 0.91 vs. 14.8 ± 2.06; p < 0.0001) and RDW (16.56 ± 2.32 vs. 15.12 ± 2.43; p < 0.0001) levels were observed in patients with PD. PDW and mean corpuscular hemoglobin concentration had larger AUC (0.89 and 0.74, respectively) and Youden's index (0.65 and 0.39, respectively), indicating their higher predictive capacity as well as higher sensitivity in discriminating patients with PD from healthy controls. Conclusion PDW can be considered a "good" diagnostic or predictive marker in patients with PD.
ABSTRACT
AIMS AND OBJECTIVES: Several biological, social, and cultural factors contribute to the poor outcome of tobacco cessation interventions. Inability to engage large number of participants is one of the major identifiable factors. The objective of this study was to compare the outcome of tobacco cessation interventions in the clinical and workplace settings. MATERIALS AND METHODS: In the present study, we recruited 100 participants in tobacco cessation clinic (TCC) group and workplace group (50 participants in each). Both the groups were regularly intervened and were followed up regularly at 2 weeks, 4 weeks, 3 months, and 6 months. Active interventions in the form of awareness lectures, focused group discussions, and if needed, pharmacotherapy (nicotine/non-nicotine replacement therapy) was carried out for all participants. The outcome was assessed as no change, harm reduction (>50% reduction), complete cessation, and drop out. Statistical analysis of the data was done using the Statistical Package for the Social Sciences version 21.0. RESULTS: At the end of 1 month, there was higher tobacco cessation rate in the workplace group versus TCC group (n = 22, 44% vs n = 9, 18%; P < 0.0001). The tobacco cessation rate was maintained even after 6 months of intervention (n = 30, 60% vs n = 12, 24%; P = 0.002) and dropout rate was also lower among the workplace group than the TCC group (n = 14, 28% vs n = 27, 54%; P < 0.0001). CONCLUSIONS: Our study findings suggest that the workplace setting has superior outcome in tobacco cessation and harm reduction than clinical setting. In addition, it is associated with low dropout rate and the cessation effect is maintained over a period of 6 months.
