Saltar al contenido principal

ETHNOS_APP

Inicio • Búsqueda • Revistas • Lista 0

Connie S Uratsu

Datos Biográficos

ID5534281
NOMBREConnie S Uratsu
NOMBRESConnie S
APELLIDOUratsu
FIRMAURATSU C S
AFILIACIONESDivision of Research, Kaiser Permanente Northern California, Oakland, CA
ORCID0000-0001-9870-138X
VERIFICADONo
TOTAL DE OBRAS4
TOTAL DE CITAS0
TOTAL COMO AUTOR4
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2007
AÑO MÁS RECIENTE DE PUBLICACIÓN2024
ÍNDICE H0
  • Predicting Self-Reported Social Risk in Medically Complex Adults Using Electronic Health Data

    Richard W Grant, Jodi K McCloskey et al.•ARTICLE•Medical Care•2024•Referencias: 46

    BACKGROUND: Social barriers to health care, such as food insecurity, financial distress, and housing instability, may impede effective clinical management for individuals with chronic illness. Systematic strategies are needed to more efficiently identify at-risk individuals who may benefit from proactive outreach by health care systems for screening and referral to available social resources. OBJECTIVE: To create a predictive model to identify a …

  • Associations Between Different Self-reported Social Risks and Neighborhood-level Resources in Medicaid Patients

    Chris Miller-Rosales, Chris Miller‐Rosales et al.•ARTICLE•Medical Care•2022•Referencias: 44

    BACKGROUND: Adverse social conditions are a key contributor to health disparities. Improved understanding of how social risk factors interact with each other and with neighborhood characteristics may inform efforts to reduce health disparities. DATA: A questionnaire of 29,281 patients was collected through the enrollment of Medicaid beneficiaries in a large Northern California integrated health care delivery system between May 2016 and February 2…

  • Treatment Intensification and Risk Factor Control

    Joseph V Selby, Connie S Uratsu et al.•ARTICLE•Medical Care•2009•Referencias: 45

    BACKGROUND: Intensification of pharmacotherapy in persons with poorly controlled chronic conditions has been proposed as a clinically meaningful process measure of quality. OBJECTIVE: To validate measures of treatment intensification by evaluating their associations with subsequent control in hypertension, hyperlipidemia, and diabetes mellitus across 35 medical facility populations in Kaiser Permanente, Northern California. DESIGN: Hierarchical a…

  • Academic Detailing to Improve Laboratory Testing Among Outpatient Medication Users

    Jennifer Elston Lafata, Margaret J Gunter et al.•ARTICLE•Medical Care•2007•Referencias: 27

    PURPOSE: To determine whether group academic detailing with performance feedback increases recommended laboratory monitoring among outpatients dispensed medications. METHODS: Thirty-eight primary care practices in 3 states were randomized to group academic detailing with physician-level performance feedback (intervention) or a control group. Adjusted differences in creatinine and potassium testing between intervention and control group patients w…

Sin obras prominentes en esta página.

  • Academic Detailing to Improve Laboratory Testing Among Outpatient Medication Users

    Jennifer Elston Lafata, Margaret J Gunter et al.•ARTICLE•Medical Care•2007•Referencias: 27

    PURPOSE: To determine whether group academic detailing with performance feedback increases recommended laboratory monitoring among outpatients dispensed medications. METHODS: Thirty-eight primary care practices in 3 states were randomized to group academic detailing with physician-level performance feedback (intervention) or a control group. Adjusted differences in creatinine and potassium testing between intervention and control group patients w…

  • Treatment Intensification and Risk Factor Control

    Joseph V Selby, Connie S Uratsu et al.•ARTICLE•Medical Care•2009•Referencias: 45

    BACKGROUND: Intensification of pharmacotherapy in persons with poorly controlled chronic conditions has been proposed as a clinically meaningful process measure of quality. OBJECTIVE: To validate measures of treatment intensification by evaluating their associations with subsequent control in hypertension, hyperlipidemia, and diabetes mellitus across 35 medical facility populations in Kaiser Permanente, Northern California. DESIGN: Hierarchical a…

  • Associations Between Different Self-reported Social Risks and Neighborhood-level Resources in Medicaid Patients

    Chris Miller-Rosales, Chris Miller‐Rosales et al.•ARTICLE•Medical Care•2022•Referencias: 44

    BACKGROUND: Adverse social conditions are a key contributor to health disparities. Improved understanding of how social risk factors interact with each other and with neighborhood characteristics may inform efforts to reduce health disparities. DATA: A questionnaire of 29,281 patients was collected through the enrollment of Medicaid beneficiaries in a large Northern California integrated health care delivery system between May 2016 and February 2…

  • Predicting Self-Reported Social Risk in Medically Complex Adults Using Electronic Health Data

    Richard W Grant, Jodi K McCloskey et al.•ARTICLE•Medical Care•2024•Referencias: 46

    BACKGROUND: Social barriers to health care, such as food insecurity, financial distress, and housing instability, may impede effective clinical management for individuals with chronic illness. Systematic strategies are needed to more efficiently identify at-risk individuals who may benefit from proactive outreach by health care systems for screening and referral to available social resources. OBJECTIVE: To create a predictive model to identify a …

Medicine (4 obras) · Environmental health (2 obras) · Family medicine (2 obras) · Food Security and Health in Diverse Populations (2 obras) · Gerontology (2 obras) · Gerontology (2 obras) · Health care (2 obras) · Homelessness and Social Issues (2 obras) · Medicaid (2 obras) · Chronic Disease Management Strategies (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