35 research outputs found

    Using Mobile-Based Technology to Screen for Atrial Fibrillation in India

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    As part of the mini-symposium entitled Interdiscipllinary Mobile Health and Sensing Research, this presentation discusses use of a novel smartphone app for cardiovascular screening in rural India

    Estimated stroke risk, yield, and number needed to screen for atrial fibrillation detected through single time screening: a multicountry patient-level meta-analysis of 141,220 screened individuals

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    BACKGROUND: The precise age distribution and calculated stroke risk of screen-detected atrial fibrillation (AF) is not known. Therefore, it is not possible to determine the number needed to screen (NNS) to identify one treatable new AF case (NNS-Rx) (i.e., Class-1 oral anticoagulation [OAC] treatment recommendation) in each age stratum. If the NNS-Rx is known for each age stratum, precise cost-effectiveness and sensitivity simulations can be performed based on the age distribution of the population/region to be screened. Such calculations are required by national authorities and organisations responsible for health system budgets to determine the best age cutoffs for screening programs and decide whether programs of screening should be funded. Therefore, we aimed to determine the exact yield and calculated stroke-risk profile of screen-detected AF and NNS-Rx in 5-year age strata. METHODS AND FINDINGS: A systematic review of Medline, Pubmed, and Embase was performed (January 2007 to February 2018), and AF-SCREEN international collaboration members were contacted to identify additional studies. Twenty-four eligible studies were identified that performed a single time point screen for AF in a general ambulant population, including people \u3e /=65 years. Authors from eligible studies were invited to collaborate and share patient-level data. Statistical analysis was performed using random effects logistic regression for AF detection rate, and Poisson regression modelling for CHA2DS2-VASc scores. Nineteen studies (14 countries from a mix of low- to middle- and high-income countries) collaborated, with 141,220 participants screened and 1,539 new AF cases. Pooled yield of screening was greater in males across all age strata. The age/sex-adjusted detection rate for screen-detected AF in \u3e /=65-year-olds was 1.44% (95% CI, 1.13%-1.82%) and 0.41% (95% CI, 0.31%-0.53%) for \u3c 65-year-olds. New AF detection rate increased progressively with age from 0.34% ( \u3c 60 years) to 2.73% ( \u3e /=85 years). Neither the choice of screening methodology or device, the geographical region, nor the screening setting influenced the detection rate of AF. Mean CHA2DS2-VASc scores (n = 1,369) increased with age from 1.1 ( \u3c 60 years) to 3.9 ( \u3e /=85 years); 72% of \u3e /=65 years had \u3e /=1 additional stroke risk factor other than age/sex. All new AF \u3e /=75 years and 66% between 65 and 74 years had a Class-1 OAC recommendation. The NNS-Rx is 83 for \u3e /=65 years, 926 for 60-64 years; and 1,089 for \u3c 60 years. The main limitation of this study is there are insufficient data on sociodemographic variables of the populations and possible ascertainment biases to explain the variance in the samples. CONCLUSIONS: People with screen-detected AF are at elevated calculated stroke risk: above age 65, the majority have a Class-1 OAC recommendation for stroke prevention, and \u3e 70% have \u3e /=1 additional stroke risk factor other than age/sex. Our data, based on the largest number of screen-detected AF collected to date, show the precise relationship between yield and estimated stroke risk profile with age, and strong dependence for NNS-RX on the age distribution of the population to be screened: essential information for precise cost-effectiveness calculations

    Role of Probiotics in Oral Health - A Review

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    Probiotic is defined as “live microbial food ingredient that, when ingested in sufficient quantities, exerts health benefits on the consumer” (International Life Science Institute). Probiotic is derived from Greek language meaning “for life” and it was first used by Lilly and Stillman in 1965 to describe “substances secreted by one microorganism which stimulates the growth of another.” The original observation of the positive role played by some selected bacteria was scientifically investigated by Eli Metchnikoff who proposed that lactic acid-producing strain Lactobacillus bulgaricus (contained in the Bulgarian yogurt) is able to displace pathological intestinal microbiota. Probiotics’ role for treatment of general diseases like intestinal diseases, lactose intolerance, diabetes, etc., has been documented in literature. During the past few years, extensive research has been done to know the role of dietary as well as oral probiotics for treatment of oral diseases. Present article documents health benefits of probiotics for maintainence of oral health

    Technology, community, and equity: Considerations for collecting social determinants data

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    Gathering detailed information on an individual’s neighborhood environment is becoming increasingly recognized as a crucial component of understanding the impact that social determinants have on individual and public health, and this has been further highlighted by the ongoing COVID-19 pandemic. Emerging research clearly demonstrates COVID-19’s differential impact on underserved and rural communities, and it is imperative to adequately capture important neighborhood-level predictors of health outcomes to better understand the extent to which these communities have been affected, and to equitably promote their recovery and healing. mHealth tools have drastically transformed the framework of data collection within clinical and population health research and can significantly reduce accessibility barriers for research participants to allow for convenient, continuous real-time health and activity space assessments. Digital interventions leveraging remote data collection, and providing study participants with requisite devices when necessary, serves to bridge the digital divide that would otherwise preclude rural populations’ participation in key research opportunities for advancing health equity

    Association of Use of an Integrated Specialty Pharmacy With Total Medical Expenditures Among Members of an Accountable Care Organization

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    This cohort study examines the association of integrated specialty pharmacy use among members of a university hospital accountable care organization (ACO) with total medical expenditure

    Can Physician Champions Improve Kangaroo Care? Trends over 5 Years in Rural Western India

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    Introduction: In 2013, approximately 2.8 million children worldwide died within the neonatal period. India is at the epicenter of this tragedy, accounting for one-third of all neonatal mortalities. Prematurity and/or with low birth weight are the leading cause of neonatal mortality and India has the highest number of neonates born preterm and weighing less than 2,500 grams worldwide. It is estimated that Kangaroo Care can avert up to 48% of all neonatal deaths among premature babies by 2025. However, the promise of Kangaroo Care as a low-cost, safe, and efficacious intervention to reduce neonatal mortality in India has not been realized due to suboptimal implementation. Physician champions can improve Kangaroo Care implementation, but the magnitude of their impact is unknown. Methods: A retrospective cohort study of 648 infants identified using clinical data from a NICU located in rural western India. Physicians who led Kangaroo Care training sessions with neonates and coached peer healthcare professionals were considered champions. Two Kangaroo Care champions were on staff full-time from January 2010 through June 2011, part-time from July 2011 through June 2012, and absent thereafter. We examined the effect of the withdrawal of physician champions on overall use using logistic regression, time to initiation using competing risk cox regression, and intensity using linear regression models of the two main components of Kangaroo Care, skin-to-skin care and breastfeeding, separately. Findings: In comparison to when Kangaroo Care champions were present, their absence was associated with a 45% decrease in the odds of receiving skin-to-skin care (95% CI): 64% to 17%), 38% decrease in the rate of initiation of skin-to-skin care (95% CI: 53% to 82%), and on average, 1.47 less hours of skin-to-skin care (95% CI: -2.07 to -0.86). Breastfeeding practices were similar across different champion environments. Interpretation: Withdrawal of Kangaroo Care champions from neonatal intensive care unit in rural western India is associated with diminished administration, delayed initiation, and shorter duration of skin-to-skin care, but did not impact breastfeeding practices. Training healthcare workers and community stakeholders to become champions could help in scaling up and maintaining Kangaroo Care practices. Funding: This research was supported by TL1-TR001454 (to A.S.) from National Center for Advancing Translational Sciences, and P60-MD006912-05 (to J.A.) from National Institute on Minority Health and Disparities. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH

    Study protocol for Smartphone Monitoring for Atrial fibrillation in Real-Time in India (SMART-India): a community-based screening and referral programme

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    INTRODUCTION: Atrial fibrillation (AF), the world\u27s most common arrhythmia, often goes undetected and untreated in low-resource communities, including India, where AF epidemiology is undefined. AF is an important risk factor for stroke, which plagues an estimated 1.6 million Indians annually. As such, early detection of AF and management of high-risk patients is critically important to decrease stroke burden in individuals with AF. This study aims to describe the epidemiology of AF in Anand District, Gujarat, India, characterise the clinical profile of individuals who are diagnosed with AF and determine the performance of two mobile technologies for community-based AF screening. METHODS: This observational study builds on findings from a previous feasibility study and leverages two novel technologies as well as an existing community health programme to perform door-to-door AF screening for 2000 people from 60 villages of Anand District, Gujarat, India using local health workers. A single-lead ECG and a pulse-based application is used to screen each individual for AF three times over a period of 5 days. Participants with suspected arrhythmias are followed up by study cardiologist who makes final diagnoses. Participants diagnosed with AF are initiated on treatment based on current anticoagulation guidelines and clinical reasoning. ANALYTICAL PLAN: Age-stratified and sex-stratified prevalence of AF in the Anand District will be calculated for sample and estimated for Anand distribution using survey design weights. Sociodemographic and clinical factors associated with AF will be evaluated using multivariable regression methods. Performance of each mobile technology in detecting AF will be evaluated using a 12-lead ECG interpretation as the gold standard. ETHICS AND DISSEMINATION: This protocol was approved separately by the Institutional Review Board of University of Massachusetts Medical School and the Human Research Ethics Committee at Charutar Arogya Mandal. The findings of this study will be disseminated through peer-reviewed journals and scientific conferences

    Association of common mental disorder symptoms with health and healthcare factors among women in rural western India: results of a cross-sectional survey

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    OBJECTIVES: Information about common mental disorders (CMD) is needed to guide policy and clinical interventions in low-income and middle-income countries. This study\u27s purpose was to characterise the association of CMD symptoms with 3 inter-related health and healthcare factors among women from rural western India based on a representative, cross-sectional survey. SETTING: Surveys were conducted in the waiting area of various outpatient clinics at a tertiary care hospital and in 16 rural villages in the Anand district of Gujarat, India. PARTICIPANTS: 700 Gujarati-speaking women between the ages of 18-45 years who resided in the Anand district of Gujarat, India, were recruited in a quasi-randomised manner. PRIMARY AND SECONDARY OUTCOMES MEASURES: CMD symptoms, ascertained using WHO\u27s Self-Reporting Questionnaire-20 (SRQ-20), were associated with self-reported (1) number of healthcare visits in the prior year; (2) health status and (3) portion of yearly income expended on healthcare. RESULTS: Data from 658 participants were used in this analysis; 19 surveys were excluded due to incompleteness, 18 surveys were excluded because the participants were visiting hospitalised patients and 5 surveys were classified as outliers. Overall, 155 (22·8%) participants screened positive for CMD symptoms (SRQ-20 score ≥8) with most (81.9%) not previously diagnosed despite contact with healthcare provider in the prior year. On adjusted analyses, screening positive for CMD symptoms was associated with worse category in self-reported health status (cumulative OR=9.39; 95% CI 5·97 to 14·76), higher portion of household income expended on healthcare (cumulative OR=2·31; 95% CL 1·52 to 3.52) and increased healthcare visits in the prior year (incidence rate ratio=1·24; 95% CI 1·07 to 1·44). CONCLUSIONS: The high prevalence of potential CMD among women in rural India that is unrecognised and associated with adverse health and financial indicators highlights the individual and public health burden of CMD

    Caste Matters: Perceived Discrimination among Women in Rural India

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    Purpose: To examine the relationship of caste and class with perceived discrimination among pregnant women from rural western India. Methods: A cross-sectional survey was administered to 170 pregnant women in rural Gujarat, India, who were enrolled in a longitudinal cohort study. Everyday Discrimination Scale and Experiences of Discrimination questionnaires were used to assess perceived discrimination and response to discrimination. Based on self-reported caste, women were classified to three categories with increasing historical disadvantage: General, Other Backward Castes (OBC), and Scheduled Caste or Tribes (SC/ST). Socioeconomic class was determined using standardized Kuppuswamy scale. Regression models for count and binomial data were used to examine association of caste and class with experience of discrimination and response to discrimination. Results: 68% of women experienced discrimination. After adjusting for confounders, there was a consistent trend and association of discrimination with caste but not class. In comparison to General Caste, lower caste (OBC, SC/ST) women were more likely to 1) experience discrimination (OBC OR: 2.2, SC/ST: 4.1; p-trend: 0.01), 2) have a greater perceived discrimination score (OBC IRR: 1.3, SC/ST: 1.5; p-trend: 0.07), 3) accept discrimination (OBC OR: 6.4, SC/ST: 7.6; p-trend: \u3c 0.01), and 4) keep to herself about discrimination (OBC OR: 2.7, SC/ST: 3.6; p-trend: 0.04). Conclusion: The differential experience of discrimination by lower caste women in comparison to upper caste women and their response to such experiences highlight the importance of studying discrimination to understand existing caste-based disparities
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