Domestic violence is a major contributor to physical and mental ill health of women and is evident, to some degree, in every society in the world. The World Health Organization reports that globally 29% to 62% of women have experienced physical or sexual violence by an intimate partner. Ending gender discrimination and all forms of violence against women requires an understanding of the prevailing culture of bias and violence. The present study was conducted in a rural area in India. Focus group discussions (FGDs) were conducted among married women in the age group of 18 to 35 years. Physical violence was a major cause of concern among these women. Some women had to suffer even during pregnancy. An alcoholic husband emerged as the main cause for domestic violence. Husbands’ relatives instigating wife beating was also common. Majority of the women preferred to remain silent despite being victimized. The women feared to resort to law because of implications such as social isolation. To address this, all sectors including education, health, legal, and judicial must work in liaison. Gender inequality must be eliminated and equal participation of women in the decision-making and development processes must be ensured.

D well-being of the elderly. Objectives: The objective is to determine the prevalence of falls among elderly persons in a rural area and to study the association of falls with sociodemographic variables and selected health conditions. Methods: In a community-based, cross-sectional study conducted among 456 elderly persons in a rural area, information regarding sociodemographic details, selected health conditions, and history of falls in the past 12 months was recorded. Univariate analysis followed by stepwise multivariate logistic regression analysis was carried out. The effect of sociodemographic and various health conditions on falls was analyzed using logistic regression analysis. Results: Among the 456 study participants, the prevalence of falls in the past 12 months was 36.6% (95% confidence interval [CI] =32.1–40.0). The prevalence among women was 40.6% (95% CI = 34.5–46.7) and among men was 31.5% (95% CI = 25.0–37.9). Low socioeconomic status, urgency of micturition, knee pain, visual impairment, hearing impairment, functional disability, and depression were significantly associated with falls. Conclusions: Falls are common among elderly persons. Health programs for the elderly must include prevention of falls and rehabilitation of fall-related injuries....

Timely, affordable, and sustained interventions reduce the risk of heart attack or Stroke in people with a high total risk of cardiovascular diseases (CVD). Risk prediction tools are available to estimate the cardiovascular risk using information on multiple variables. CVD risk charts prepared by the World Health Organization (WHO) has laboratory-based and non-laboratory-based charts with the latter meant for use in resource limited settings. We conducted a study to determine concordance between the laboratory- and non-laboratory risk charts and to estimate the prevalence of selected CVD risk factors in a rural Indian population. A community-based cross-sectional study was conducted in rural area of Ballabgarh in district Faridabad, Haryana. Sample of 1,018 participants aged 30–69 years was selected randomly from study area. Information on CVDs risk factors was obtained using WHO STEPS questionnaire, anthropometry and laboratory investigation. Risk distribution among the study participants was observed. Concordance between laboratory- and non-laboratory-based WHO CVD risk charts was determined using agreement analysis. The mean age of the study participants was 43.9 (8.9) years and 55.6% participants were women. Among various CVD risk factors, hypertension (39.4%) was the major factor followed by overweight (34.1%) was found to be major factor, followed by current smoking (23.6%) and hypercholesterolemia (18.7%). The concordance between the two charts was 83.3% with kappa value of 0.64. Considering laboratory-based charts as the gold standard, the sensitivity and specificity of non-laboratory-based risk charts at 5% risk as cut-off was 86.5% and 90.3% respectively. The study shows a good agreement between the laboratory-based and non-laboratory-based risk charts. Thus non-laboratory-based risk charts are suitable for risk estimation of CVDs for use in resource limited settings like India.

Delay in initiation of tuberculosis (TB) treatment may have a tremendous impact on disease transmission, development of drug resistance, poor outcome and overall survival of TB patients. The delay can occur at various levels. Delay in initiation of treatment after diagnosis is mostly due to health system failure and has immense programmatic implications. It has not been studied extensively in the Indian setting. The authors did a cohort analysis of all TB patients initiated on treatment from two primary health centres (PHCs) at Ballabgarh Health and Demographic Surveillance System between January 2007 and December 2014. Diagnosis and treatment of TB in the study area was done as per the protocol envisaged in the national program. Information related to demography, details of diagnosis and treatment of TB and outcome of treatment were extracted from the TB register. Delay in initiation of treatment after diagnosis was considered if the gap between diagnosis and treatment was greater than 7 days. Bivariate and multivariate analyses were done to find the association of various factors with delay in initiation of treatment after diagnosis. Out of 885 patients, 662 patients started treatment for pulmonary TB. Mean time interval between diagnosis and initiation of treatment was 8.95 days. Only 57.7% of pulmonary TB patients were started on treatment within 7 days of diagnosis, and an additional 24.5% were started on treatment 8-14 days after diagnosis. Patients on retreatment regimens and those residing in villages without a PHC were more likely to have delayed initiation of treatment (odds ratio (OR)=1.82 (1.3-2.7, p=0.001) and OR=1.62 (1.1-2.5, p=0.01) respectively). Delay in initiation of treatment was also associated with unfavourable treatment outcome such as default, failure or death. There is a need to have healthcare changes related to TB care to enable initiation of treatment as early as possible. Pretreatment counselling especially for retreatment patients is of utmost importance.

Patient satisfaction reflects the quality and effectiveness of healthcare. Healthcare services have become more patient-centric in today’s era as patients are viewed as active consumers of healthcare services rather than passive recipients. Measuring patient satisfaction level has become an objective criterion for defining the effectiveness of these services. Feedback from patients makes healthcare services more responsive to the expectations of patients. We conducted a cross-sectional study among 200 OPD attendees of a secondary-care hospital to assess the level of satisfaction. A 5-point Likert scale was used to record the responses. For overall satisfaction with the OPD services, most common responses were “good” or “very-good”, with mean (SD) score of 3.8 (0.77). Majority of the patients were satisfied with facilities such as drinking water and toilets, and with consultation time provided by the doctors. The patients were not satisfied with the time taken at the registration window and behavior of other hospital employees. This highlights the importance of reorientation training on communication and interpersonal skills for all categories of healthcare staff.

Quarantine of health care workers (HCWs) exposed to COVID-19–confirmed cases is a well-known strategy for limiting the transmission of infection. However, during a pandemic situation in a resource-constraint setting, we require an evidence-based guideline for quarantining HCWs. We developed an algorithm for exposure-based risk stratification and quarantine of HCWs. We did contact tracing and risk stratification of 3853 HCWs, of whom 560 (14.5%) were categorized as high-risk contacts. High-risk contacts were quarantined for 14 days and underwent testing for COVID-19, while low-risk contacts continued their work with adherence to physical distancing, hand hygiene, appropriate use of personal protective equipment, and self-monitoring of symptoms. Overall, 118 (3.1%) contacts tested positive for COVID-19. The positivity rate among high-risk contacts was 7.1% (95% confidence interval = 5.2-9.6). Our strategy of risk stratification prevented 3215 HCWs from being quarantined and thus saved 45 010 person-days of health workforce in the institution.