BackgroundThe sole focus of models of insight on bio-medical perspectives to the complete exclusion of local, non-medical and cultural constructs mandates review. This study attempted to investigate the impact of insight, psychopathology, explanatory models of illness on outcome of first episode schizophrenia.MethodPatients diagnosed to have DSM IV schizophrenia (n = 131) were assessed prospectively for insight, psychopathology, explanatory models of illness at baseline, 6, 12 and 60 months using standard instruments. Multiple linear and logistic regression and generalized estimating equations (GEE) were employed to assess predictors of outcome.ResultsWe could follow up 95 (72.5%) patients. Sixty-five of these patients (68.4%) achieved remission. There was a negative relationship between psychosis rating and insight scores. Urban residence, fluctuating course of the initial illness, and improvement in global functioning at 6 months and lower psychosis rating at 12 months were significantly related to remission at 5 years. Insight scores, number of non-medical explanatory models and individual explanatory models held during the later course of the illness were significantly associated with outcome. Analysis of longitudinal data using GEE showed that women, rural residence, insight scores and number of non-medical explanatory models of illness held were significantly associated with BPRS scores during the study period.ConclusionsInsight, the disease model and the number of non-medical model positively correlated with improvement in psychosis arguing for a complex interaction between the culture, context and illness variables. These finding argue that insight and explanatory models are secondary to psychopathology, course and outcome of the illness. The awareness of mental illness is a narrative act in which people make personal sense of the many challenges they face. The course and outcome of the illness, cultural context, acceptable cultural explanations and the prevalent social stigma interact to produce a complex and multifaceted understanding of the issues. This complexity calls for a nuanced framing of insight.

Physical and psychological stressors of HIV infection demand adequate coping responses from persons living with HIV/AIDS (PLHA) and coping strategies may vary by cultural context. The Brief COPE is a well validated scale that has been used extensively to assess coping with cancer, depression, and HIV infection in other settings, but never in India. In this study we translated and validated the 28 item Brief COPE among 299 PLHA in South India, assessing reliability, validity, and cultural appropriateness. Although the original scale demonstrated acceptable internal consistency (alpha=0.70) and good convergent validity with depression, the test-retest reliability was marginal (test-retest=0.6) and the original factor structure demonstrated poor fit in a confirmatory factor analysis (CFA). An exploratory factor analysis (EFA) yielded a 16 item scale with 5 factors (active planning, social support, avoidant emotions, substance use, religion). A second CFA demonstrated good model fit and acceptable reliability (alpha=0.61) of the adapted scale.

These findings argue that insight and explanatory models of illness are secondary to psychopathology, course and outcome. They are dependent on the trajectory of the person's illness, are not independent of the condition and call for multifaceted understanding of the issues.

Sequential treatment with metformin and clomiphene citrate is an effective and safe option for clomiphene-resistant women with PCOS.

Introduction: Rising antibiotic resistance may negatively affect the health and cost of care for patients. This study aimed to determine the impact of antibiotic resistance on costs and health consequences for patients. Methodology: A one-year observational study was conducted at Christian Medical College, Vellore, a tertiary care hospital, on patients admitted into medical wards with a preliminary diagnosis of suspected sepsis. Patients with confirmed bacteremia were analysed in two groups -resistant and susceptible -based on susceptibility of causative bacteria to the empiric antibiotics administered. Clinical data and details about costs incurred were collected from hospital records. Costs and health consequences were compared using Mann-Whitney U test and Fisher's exact test. For median difference in costs, 95% bootstrap confidence interval was determined. Results: Overall, 220 patients were included. The median difference between resistant and susceptible groups in overall costs, antibiotic costs, and pharmacy costs was rupees (INR)/USD 41,993/700 (p = 0.001), 8,315/139 (p < 0.001) and 21,492/358 (p < 0.001), respectively. Health consequences such as intensive care admissions, complications, mortality, and length of stay were significantly higher in the resistant group as compared to susceptible group: 44% vs. 21% (p < 0.001), 56% vs. 37% (p = 0.006), 12% vs. 2% (p = 0.011), and 14 vs. 11 days (p = 0·027), respectively. Conclusions: Antibiotic resistance has a significant impact on cost and health consequences. These findings provide a key message for policymakers and other stakeholders to initiate feasible strategies to tackle resistance and reduce the burden.