Publications by authors named "S B Navale"

Aim And Background: To assess the efficacy and safety of Ibutilide infusion for cardioversion of atrial fibrillation (AF) or flutter (AFL) to sinus rhythm.

Materials And Methods: This open-label, multicenter phase IV study was conducted at six sites across India. The study enrolled 120 patients (108 with AF, 12 with AFL), each receiving up to two, 10-minute intravenous doses of 1.

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Objective: To compare morbidity burden captured from multimorbidity indices and aggregated measures of clinically meaningful categories captured in primary care community-based health center (CBHC) patients.

Data Sources And Study Setting: Electronic health records of patients seen in 2019 in OCHIN's national network of CBHCs serving patients in rural and underserved communities.

Study Design: Age-stratified analyses comparing the most common conditions captured by the Charlson, Elixhauser, and Multimorbidity Weighted (MWI) indices, and Classification Software Refined (CCSR) and Chronic Condition Indicator (CCI) algorithms.

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Background: Community health center (CHC) patients experience a disproportionately high prevalence of chronic conditions and barriers to accessing technologies that might support the management of these conditions. One such technology includes tools used for remote patient monitoring (RPM), the use of which surged during the COVID-19 pandemic.

Objective: The aim of this study was to assess how a CHC implemented an RPM program during the COVID-19 pandemic.

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Introduction: Federally Qualified Community Health Centers (FQHCs) are on the frontline of efforts to improve healthcare equity and reduce disparities exacerbated by the COVID-19 pandemic. This study assesses the provision and equity of preventive care and chronic disease management by FQHCs before, during, and after the pandemic.

Methods: Using electronic health record data from 210 FQHCs nationwide and employing segmented regression in an interrupted time series design, preventive screening and chronic disease management were assessed for 939,053 patients from 2019 to 2022.

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Purpose: Understanding variation in multimorbidity across sociodemographics and social drivers of health is critical to reducing health inequities.

Methods: From the multi-state OCHIN network of community-based health centers (CBHCs), we identified a cross-sectional cohort of adult (> 25 years old) patients who had a visit between 2019-2021. We used generalized linear models to examine the relationship between the Multimorbidity Weighted Index (MWI) and sociodemographics and social drivers of health (Area Deprivation Index [ADI] and social risks [e.

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