Effectiveness of blended versus fully digital training in primary care psychiatry: A retrospective comparison from India.

Objectives: We compared effectiveness of blended mode (consisting of traditional classroom teaching and e-learning sessions) and fully digital mode (e-learning sessions alone) of primary care psychiatry training for primary care doctors in Chhattisgarh. Materials and Methods: We retrospectively compared the engagement in training, knowledge (K), attitude (A), and practice (P) in primary care psychiatry, and patient identification by primary care doctors (n = 941) from Chhattisgarh region who underwent training through either blended training mode (n = 546) or fully digital training mode (n = 395) for 16 h each, using Clinical Schedules for Primary Care Psychiatry based modules between June 2019 and November 2020 with a tertiary care center (NIMHANS, Bengaluru) as hub. Statistical Analysis: The Statistical Package for the Social Sciences version 27 was used to analyze the data. Continuous variables were analyzed using the independent samples t-test, and discrete variables were analyzed using the Chi-square test. A repeated measures analysis of variance (ANOVA) (two-way mixed design) was used to see the interaction of training type and time of pre- and post-KAP measurement while controlling for years of experience. The number of patients identified by both training groups over 8 months was also compared using the repeated measures ANOVA (two-way mixed design). Results: Engagement inferred by the number of participants completing pre-KAP forms (75%), post-KAP forms (43%), post-session assessments (37- 47%), case presentation (33.9%), and certification (32.1%) was better in the blended group (P < 0.05). The mean gain in KAP scores was significantly higher in the blended group controlling for the years of experience as primary care doctor (PCD) (F = 30.36, P < 0.001). PCDs in the blended training group consistently identified a higher number of patients with mental illness over 8 months of follow-up (F = 6.21, P < 0.001). Conclusion: The blended mode yielded better results in primary care psychiatry training compared to fully digital mode. In-person interactions while provided for a very brief proportion of the training seem to have an unmistakable imprint on the outcomes and seem critical for better consolidation and assimilation of information, which translates into better practice.

Buprenorphine/naloxone maintenance for "poppy husk" dependence: A retrospective study.

INTRODUCTION: Despite a significant number of patients dependent on "poppy husk" in India, they are poorly characterized. Moreover, scarce data is available with respect to their treatment. METHODS: A cohort of 148 patients with "poppy husk" dependence receiving substitution treatment with buprenorphine/naloxone were followed up for 4 years, using a retrospective chart-based assessment. Baseline demographic and substance-related characteristics were described. Retention rates (operationally redefined as "6 months of uninterrupted contact anytime during their visits") over the next 4 years and their predictors were assessed. RESULTS: Mean age of onset of "poppy husk" use was found to be 27.51 years, and mean duration of dependence was 18.25 years. Mean amount of poppy husk consumed per month was 3.7 kg. Commonest reasons for initiating and quitting its use were enhancing work efficiency and lack of availability, respectively. Retention rates were 25%. Significant predictors of retention were age more than 40 years (OR = 2.295; 95%CI = 1.015-5.19) and uninterrupted treatment duration for at least 1 month from first contact (for 1 month (OR = 5.625; 95%CI = 2.28-13.89), for 3 months (OR = 10.96; 95%CI = 4.65-25.85), and for 6 months (OR = 52.8; 95%CI:14.08-197.98). DISCUSSION: Factors associated with occupation such as enhancing work efficiency and overcoming fatigue are related to use of "poppy husk." While the amount of intake is considerably large among treatment seekers who are dependent on it, their dependence duration is longer and retention rates lower than those reported for patients with prescription and injectable opioid dependence. Specific strategies to tap patients less than 40 years and to target uninterrupted contact in initial phases of maintenance should be developed.

Internet addiction and daytime sleepiness among professionals in India: A web-based survey.

BACKGROUND: The likelihood of the relation between Internet overuse and comorbid psychiatric conditions is on the rise. However, sleep disturbances are common psychiatric symptoms associated with internet overuse. Our objective was to examine the association of Internet overuse with excessive daytime sleepiness, sleep problems in professionals from India. MATERIALS AND METHODS: This was a web-based cross-sectional study through a predesigned questionnaire which included various professional groups. The information included in the questionnaire was sociodemographic details, Young's internet addiction test (IAT) and Epworth sleepiness scale (ESS). RESULTS: About 1.0% of total sample population had severe internet addiction whereas 13% were in the range of moderate internet addiction and the mean score on IAT was found to be 32 (standard deviation [SD] = 16.42). The mean duration of total night time sleep (5.61 ± 1.17) is significantly lower in participants with moderate and severe internet addiction (6.98 ± 1.12) compared to those with no and mild internet addiction. The mean scores of ESS were significantly higher in individuals with moderate and severe addiction (M = 10.64, SD = 4.79). We found that sleepiness while in 5 of the situations such as driving a car (χ2 = 27.67; P < 0.001), sitting and reading (χ2 = 13.6; P = 0.004), traveling in a car (χ2 = 15.09; P = 0.002), afternoon rest time (χ2 = 15.75; P = 0.001), and postlunch quiet time (χ2 = 24.09; P < 0.001), predicted membership to moderate-to-severe internet addiction, even after controlling for the confounding effects of age and gender. CONCLUSIONS: This study shows an association between Internet overuse, excessive daytime sleepiness, and other sleep problems. Clinicians should be proactive and conscious in scrutinizing the patients for internet addiction and its consequences.