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Assessing the financial burden of multimorbidity among patients aged 30 and above in India.

BMC Health Serv Res

January 2025

Health Systems Transformation Platform (HSTP), AISF Building, First Floor, Kalka Devi Marg, Lajpat Nagar IV, New Delhi, 110024, India.

Background: Multimorbidity is associated with significant out-of-pocket expenditures (OOPE) and catastrophic health expenditure (CHE), especially in low- and middle-income countries like India. Despite this, there is limited research on the financial burden of multimorbidity in outpatient and inpatient care, and cross-state comparisons of CHE are underexplored.

Methods: We conducted a cross-sectional analysis using nationally representative data from the National Sample Survey 75th Round 'Social Consumption in India: Health (2017-18)', focusing on patients aged 30 and above in outpatient and inpatient care in India.

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Background: Preeclampsia significantly impacts maternal and perinatal health. Early screening using advanced models and primary prevention with low-dose acetylsalicylic acid for high-risk populations is crucial to reduce the disease's incidence. This study assesses the feasibility of implementing preterm preeclampsia screening and prevention by leveraging information from our current aneuploidy screening program in a real-world setting with geographic separation clinical site and laboratory analysis site.

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Purpose: To describe physical activity (PA) trajectories across 10 years post-breast cancer diagnosis and examine their association with quality of life (QoL).

Methods: Participants from the longitudinal Study of Women's Health Across the Nation who developed incident breast cancer completed the Quality of Life in Adult Cancer Survivors scale (QLACS) which has 12 domains. Breast cancer survivors (BCS) with at least one post-diagnosis measure of the Kaiser Physical Activity Survey (PA) were included (n = 96).

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Routine use of genetic data in healthcare is much-discussed, yet little is known about its performance in epidemiological models including traditional risk factors. Using severe COVID-19 as an exemplar, we explore the integration of polygenic risk scores (PRS) into disease models alongside sociodemographic and clinical variables. PRS were optimized for 23 clinical variables and related traits previously-associated with severe COVID-19 in up to 450,449 UK Biobank participants, and tested in 9,560 individuals diagnosed in the pre-vaccination era.

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Social withdrawal is a widespread phenomenon among adolescents, presenting significant challenges in understanding its aetiology and dynamics. This study, drawing on data from two cross-sectional surveys conducted in 2019 and 2022 on students in public upper secondary schools, investigates the trend of self-isolation among Italian adolescents before and after the COVID-19 pandemic. The two nationally representative samples comprise 3273 and 4288 participants, respectively, with 46.

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