Objective. To explore the psychosocial problems faced by the parents of children with cerebral palsy (CP) in rural and urban settings. Design. Qualitative research design using focus group discussions (FGDs) was used for the study. Setting. Two FGDs comprising one at a rural tertiary level care hospital and the other at an urban tertiary level care hospital were conducted. Participants. A total of thirteen parents participated in the two FGDs. Main Outcome Measured. Psychosocial problems experienced by the parents of children suffering from CP were measured. Results. The problems experienced by the mothers were associated with common themes such as disturbed social relationships, health problems, financial problems, moments of happiness, worries about future of the child, need for more support services, and lack of adequate number of trained physiotherapists. All the parents had children with problems since birth and most had approached various health care providers for a cure for their child. Conclusions. A wide range of psychosocial problems are experienced by the parents of children with CP. Studies like this can provide valuable information for designing a family centered care programme for children with CP.

Background. Diabetes care requires a multipronged approach, wherein the patient has an important role to play. This study was undertaken to explore self-care practices of diabetic patients residing in Anand district of Gujarat. Methods. A cross-sectional study, involving 100 diabetic patients, was conducted in 2009-2010. Self-care practices in seven domains of physical activity, dietary practices, medication taking, monitoring of glucose, problem solving, foot care, and psychosocial adjustment were assessed using scores assigned to participants' responses. Results. The mean age was 60.9 (SD = 12.2) years and 57% were males. Majority (92%) were Hindus and were consulting private medical practitioners (71%). “Medication taking” was the domain with the best performance score (88.1%) and “problem solving” the worst (11.0%). The “psychosocial adjustment” of the participants was satisfactory (82.5%). Overall mean performance percentage score was 54.41%. Males had better performance scores as compared to females in areas of “physical activity,” “dietary practices,” and “problem solving.” Housewives had poorer performance scores. Total mean performance score was similar for patients on treatment from specialists and general practitioners. Conclusion. A self-care education program designed for this region should address the lacunae identified in various domains with a special emphasis on females.

Background-Early detection of Atrial Fibrillation (AF) is a public health priority across the globe because AF-related strokes are preventable. Despite an ongoing stroke epidemic in India, a public health strategy for AF screening and treatment is missing because the epidemiology of AF in India remains poorly defined. Methods-This population-based study used mobile technology to derive age and sex-stratified AF prevalence by screening 7 participants in each of six age and sex strata (age 40-55, 56-65, 65+, and male and female) from 50 villages (2100 participants). A health worker from each village

Background Verbal autopsies with physician assignment of cause of death (COD) are commonly used in settings where medical certification of deaths is uncommon. It remains unanswered if automated algorithms can replace physician assignment. Methods We randomized verbal autopsy interviews for deaths in 117 villages in rural India to either physician or automated COD assignment. Twenty-four trained lay (non-medical) surveyors applied the allocated method using a laptop-based electronic system. Two of 25 physicians were allocated randomly to independently code the deaths in the physician assignment arm. Six algorithms (Naïve Bayes Classifier (NBC), King-Lu, InSilicoVA, InSilicoVA-NT, InterVA-4, and SmartVA) coded each death in the automated arm. The primary outcome was concordance with the COD distribution in the standard physician-assigned arm. Four thousand six hundred fifty-one (4651) deaths were allocated to physician (standard), and 4723 to automated arms. Results The two arms were nearly identical in demographics and key symptom patterns. The average concordances of automated algorithms with the standard were 62%, 56%, and 59% for adult, child, and neonatal deaths, respectively. Automated algorithms showed inconsistent results, even for causes that are relatively easy to identify such as road traffic injuries. Automated algorithms underestimated the number of cancer and suicide deaths in adults and overestimated other injuries in adults and children. Across all ages, average weighted concordance with the standard was 62% (range 79–45%) with the best to worst ranking automated algorithms being InterVA-4, InSilicoVA-NT, InSilicoVA, SmartVA, NBC, and King-Lu. Individual-level sensitivity for causes of adult deaths in the automated arm was low between the algorithms but high between two independent physicians in the physician arm. Conclusions While desirable, automated algorithms require further development and rigorous evaluation. Lay reporting of deaths paired with physician COD assignment of verbal autopsies, despite some limitations, remains a practicable method to document the patterns of mortality reliably for unattended deaths. Trial registration ClinicalTrials.gov , NCT02810366. Submitted on 11 April 2016. Electronic supplementary material The online version of this article (10.1186/s12916-019-1353-2) contains supplementary material, which is available to authorized users.

BackgroundAtrial fibrillation, the world’s most common arrhythmia, is a leading risk factor for stroke, a disease striking nearly 1.6 million Indians annually. Early detection and management of atrial fibrillation is a promising opportunity to prevent stroke but widespread screening programs in limited resource settings using conventional methods is difficult and costly.ObjectiveThe objective of this study is to screen people for atrial fibrillation in rural western India using a US Food and Drug Administration-approved single-lead electrocardiography device, Alivecor.MethodsResidents from 6 villages in Anand District, Gujarat, India, comprised the base population. After obtaining informed consent, a team of trained research coordinators and community health workers enrolled a total of 354 participants aged 50 years and older and screened them at their residences using Alivecor for 2 minutes on 5 consecutive days over a period of 6 weeks beginning June, 2015.ResultsAlmost two-thirds of study participants were 55 years or older, nearly half were female, one-third did not receive any formal education, and more than one-half were from households earning less than US $2 per day. Twelve participants screened positive for atrial fibrillation yielding a sample prevalence of 5.1% (95% CI 2.7-8.7). Only one participant had persistent atrial fibrillation throughout all of the screenings, and 9 screened positive only once.ConclusionsOur study suggests a prevalence of atrial fibrillation in this Indian region (5.1%) that is markedly higher than has been previously reported in India and similar to the prevalence estimates reported in studies of persons from North America and Europe. Historically low reported burden of atrial fibrillation among individuals from low and middle-income countries may be due to a lack of routine screening. Mobile technologies may help overcome resource limitations for atrial fibrillation screening in underserved and low-resource settings.