Context: With anti-retroviral therapy (ART) for human immunodeficiency virus infection (HIV) coming into picture, quality of life (QOL) has gained importance. Knowledge on the factors affecting QOL would be helpful in making important policy decisions and health care interventions. Aims: The aim of this study is to assess the quality of life of people living with HIV (PLWH) and to identify the factors influencing their QOL. Materials and Methods: The study was done among 200 PLWH attending a tertiary care hospital, and three Non Governmental Organizations at Puducherry, India, from November 2005 to May 2007. QOL was assessed using HIV specific World Health Organization Quality Of Life scale (WHOQOL-HIV) - BREF questionnaire which has six domains (physical, psychological, level of independence, social relationships, environment and spirituality/religiousness/personal belief). Social support and stigma were measured using "Multidimensional Scale of Perceived Social Support" and "HIV Stigma Scale," respectively, using Likert Scale. Factors influencing QOL were identified using backward stepwise multiple linear regression with the six domain scores as the dependent variables. Results: Male: Female ratio was 1:1 and 58% were in early stage of the disease (stage I/II). Psychological and SRPB (Spirituality Religiousness and Personal Beliefs) domains were the most affected domains. All the regression models were statistically significant (P<0.05). The determination coefficient was highest for the social relationship domain (57%) followed by the psychological domain (51%). Disease stage and perceived social support significantly influenced all the domains of WHOQOL. Younger age, female gender, rural background, shorter duration of HIV, non-intake of ART and greater HIV related stigma were the high risk factors of poor QOL. Conclusion: Interventions such as ART, family, vocational and peer counseling would address these modifiable factors influencing QOL, thereby improving the QOL of PLWH.

Background: In the ongoing COVID-19 pandemic, an increased incidence of ROCM was noted in India among those infected with COVID. We determined risk factors for rhino-orbito-cerebral mucormycosis (ROCM) post Coronavirus disease 2019 (COVID-19) among those never and ever hospitalized for COVID-19 separately through a multicentric, hospital-based, unmatched case-control study across India. Methods: We defined cases and controls as those with and without post-COVID ROCM, respectively. We compared their socio-demographics, co-morbidities, steroid use, glycaemic status, and practices. We calculated crude and adjusted odds ratio (AOR) with 95% confidence intervals (CI) through logistic regression. The covariates with a p-value for crude OR of less than 0·20 were considered for the regression model. Results: Among hospitalised, we recruited 267 cases and 256 controls and 116 cases and 231 controls among never hospitalised. Risk factors (AOR; 95% CI) for post-COVID ROCM among the hospitalised were age 45–59 years (2·1; 1·4 to 3·1), having diabetes mellitus (4·9; 3·4 to 7·1), elevated plasma glucose (6·4; 2·4 to 17·2), steroid use (3·2; 2 to 5·2) and frequent nasal washing (4·8; 1·4 to 17). Among those never hospitalised, age ≥ 60 years (6·6; 3·3 to 13·3), having diabetes mellitus (6·7; 3·8 to 11·6), elevated plasma glucose (13·7; 2·2 to 84), steroid use (9·8; 5·8 to 16·6), and cloth facemask use (2·6; 1·5 to 4·5) were associated with increased risk of post-COVID ROCM. Conclusions: Hyperglycemia, irrespective of having diabetes mellitus and steroid use, was associated with an increased risk of ROCM independent of COVID-19 hospitalisation. Rational steroid usage and glucose monitoring may reduce the risk of post-COVID.

Background: Early diagnosis is an important aspect of quality of cancer care.Analysis of the diagnostic delays and the reasons for delay helps to plan strategies to improve cancer care. Objectives: To determine the primary, secondary, and total diagnostic delay of patients diagnosed with head and neck cancer and to explore the reasons for the delay from the patient perspective. Methods: Explanatory mixed method design was used. Two hundred persons with a confirmed diagnosis of head and neck cancer attending the ENT (ear, nose, throat) cancer clinic in a teaching hospital before the initiation of treatment were included in the study. The median delay and the association of the delay with the various factors were analyzed. Sixteen one-to-one interviews of patients were done to identify the reasons for the delays from the patient perspective. Results: Median primary, secondary, and total diagnostic delays were 30 days, 30 days, and 73 days, respectively. Statistically, primary delay was found significantly longer among ever users of smokeless tobacco and significantly longer secondary delay was found among those with age less than 60 years. The reasons for the delay were grouped in the categories (i) Symptom appraisal delay due to low perceived seriousness and (ii) health-seeking behavior delay. Conclusions: The diagnostic delay was considerable. Measures to enhance symptom appraisal by improving health literacy, opportunistic screening, and strengthening the referral system would decrease diagnostic delay.