Saltar al contenido principal

ETHNOS_APP

Inicio • Búsqueda • Revistas • Lista 0

Siddharth Jain

Datos Biográficos

ID5541528
NOMBRESiddharth Jain
NOMBRESSiddharth
APELLIDOJain
FIRMAJAIN S
AFILIACIONESCenter for Outcomes Research, Children’s Hospital of Philadelphia, Philadelphia, PA
ORCID0000-0003-4065-5880
VERIFICADOSí
TOTAL DE OBRAS3
TOTAL DE CITAS0
TOTAL COMO AUTOR3
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2022
AÑO MÁS RECIENTE DE PUBLICACIÓN2025
ÍNDICE H0
  • Grading Hospitals Using Multivariate Matching

    Jeffrey H Silber, Paul R Rosenbaum et al.•ARTICLE•Medical Care•2025•Referencias: 31

    BACKGROUND AND OBJECTIVES: To improve upon existing hospital grading systems, we developed a new report card based on multivariate matching. RESEARCH DESIGN: Matched cohorts. For each focal hospital patient, we match 10 control patients treated at "well-resourced" hospitals with excellent hospital characteristics from across the nation, and 10 control patients treated at "typical" hospitals, on over 300 patient characteristics from Medicare Claim…

  • The Safety of Performing Surgery at Ambulatory Surgery Centers Versus Hospital Outpatient Departments in Older Patients With or Without Multimorbidity

    Jeffrey H Silber, Paul R Rosenbaum et al.•ARTICLE•Medical Care•2023•Referencias: 33

    BACKGROUND: Surgery for older Americans is increasingly being performed at ambulatory surgery centers (ASCs) rather than hospital outpatient departments (HOPDs), while rates of multimorbidity have increased. OBJECTIVE: To determine whether there are differential outcomes in older patients undergoing surgical procedures at ASCs versus HOPDs. RESEARCH DESIGN: Matched cohort study. SUBJECTS: Of Medicare patients, 30,958 were treated in 2018 and 2019…

  • Remote Monitoring and Holistic Care of Home-Isolated Covid-19 Positive Healthcare Workers Through Digital Technology During the Omicron (B1.1.529) Wave

    Open Access•Siddharth Jain, Amit Agarwal et al.•ARTICLE•Frontiers in Public Health•2022

    Background Remote monitoring through digital technology offers a promising solution for the diverse medical, psychological and social issues that plague patients with COVID-19 under home-isolation, but remain neglected due to a lack of streamlined medical services for these patients. Methods This prospective cohort study determined the feasibility of remote telemonitoring of healthcare workers with mild COVID-19 under home isolation during the Om…

Sin obras prominentes en esta página.

  • Remote Monitoring and Holistic Care of Home-Isolated Covid-19 Positive Healthcare Workers Through Digital Technology During the Omicron (B1.1.529) Wave

    Open Access•Siddharth Jain, Amit Agarwal et al.•ARTICLE•Frontiers in Public Health•2022

    Background Remote monitoring through digital technology offers a promising solution for the diverse medical, psychological and social issues that plague patients with COVID-19 under home-isolation, but remain neglected due to a lack of streamlined medical services for these patients. Methods This prospective cohort study determined the feasibility of remote telemonitoring of healthcare workers with mild COVID-19 under home isolation during the Om…

  • The Safety of Performing Surgery at Ambulatory Surgery Centers Versus Hospital Outpatient Departments in Older Patients With or Without Multimorbidity

    Jeffrey H Silber, Paul R Rosenbaum et al.•ARTICLE•Medical Care•2023•Referencias: 33

    BACKGROUND: Surgery for older Americans is increasingly being performed at ambulatory surgery centers (ASCs) rather than hospital outpatient departments (HOPDs), while rates of multimorbidity have increased. OBJECTIVE: To determine whether there are differential outcomes in older patients undergoing surgical procedures at ASCs versus HOPDs. RESEARCH DESIGN: Matched cohort study. SUBJECTS: Of Medicare patients, 30,958 were treated in 2018 and 2019…

  • Grading Hospitals Using Multivariate Matching

    Jeffrey H Silber, Paul R Rosenbaum et al.•ARTICLE•Medical Care•2025•Referencias: 31

    BACKGROUND AND OBJECTIVES: To improve upon existing hospital grading systems, we developed a new report card based on multivariate matching. RESEARCH DESIGN: Matched cohorts. For each focal hospital patient, we match 10 control patients treated at "well-resourced" hospitals with excellent hospital characteristics from across the nation, and 10 control patients treated at "typical" hospitals, on over 300 patient characteristics from Medicare Claim…

Cohort (2 obras) · Cohort study (2 obras) · Internal Medicine (2 obras) · Medicine (2 obras) · 2019-20 coronavirus outbreak (1 obras) · Ambulatory (1 obras) · Benchmark (surveying) (1 obras) · Cardiac, Anesthesia and Surgical Outcomes (1 obras) · Chronic Disease Management Strategies (1 obras) · Complication (1 obras)

Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae