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ETHNOS_APP

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Haili Sun

Dados Biográficos

ID5543014
NOMEHaili Sun
PRENOMESHaili
SOBRENOMESun
ASSINATURASUN H
AFILIAÇÕESUniversity of Puget Sound
ORCID0000-0002-6556-9922
VERIFICADONão
TOTAL DE OBRAS3
TOTAL DE CITAÇÕES15
TOTAL COMO AUTOR3
TOTAL COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2010
ANO MAIS RECENTE DE PUBLICAÇÃO2015
ÍNDICE H1
  • Prevalence, Comorbidity, and Prognosis of Mental Health Among US Veterans

    Ranak B Trivedi, Edward P Post et al.•ARTICLE•American Journal of Public Health•2015•Citada por: 15•Referências: 25

    Objectives. We evaluated the association of mental illnesses with clinical outcomes among US veterans and evaluated the effects of Primary Care–Mental Health Integration (PCMHI). Methods. A total of 4 461 208 veterans were seen in the Veterans Health Administration’s patient-centered medical homes called Patient Aligned Care Teams (PACT) in 2010 and 2011, of whom 1 147 022 had at least 1 diagnosis of depression, posttraumatic stress disorder (PTS…

  • Predicting Risk of Hospitalization or Death Among Patients Receiving Primary Care in the Veterans Health Administration

    Li Wang, Brian Porter et al.•ARTICLE•Medical Care•2013•Referências: 13

    BACKGROUND: Statistical models that identify patients at elevated risk of death or hospitalization have focused on population subsets, such as those with a specific clinical condition or hospitalized patients. Most models have limitations for clinical use. Our objective was to develop models that identified high-risk primary care patients. METHODS: Using the Primary Care Management Module in the Veterans Health Administration (VHA)'s Corporate Da…

  • Use of Administrative Claims Models to Assess 30-Day Mortality Among Veterans Health Administration Hospitals

    James Stirling Ro, Joseph S Ross et al.•ARTICLE•Medical Care•2010•Referências: 14

    BACKGROUND: The Centers for Medicare and Medicaid Services (CMS) publicly reports hospital-specific risk-standardized, 30-day, all-cause, mortality rates (RSMRs) for all hospitalizations among fee-for-service Medicare beneficiaries for acute myocardial infarction (AMI), heart failure (HF), and pneumonia at non-Federal hospitals. OBJECTIVE: To examine the performance of the statistical models used by CMS among veterans at least 65 years of age hos…

  • Prevalence, Comorbidity, and Prognosis of Mental Health Among US Veterans

    Ranak B Trivedi, Edward P Post et al.•ARTICLE•American Journal of Public Health•2015•Citada por: 15•Referências: 25

    Objectives. We evaluated the association of mental illnesses with clinical outcomes among US veterans and evaluated the effects of Primary Care–Mental Health Integration (PCMHI). Methods. A total of 4 461 208 veterans were seen in the Veterans Health Administration’s patient-centered medical homes called Patient Aligned Care Teams (PACT) in 2010 and 2011, of whom 1 147 022 had at least 1 diagnosis of depression, posttraumatic stress disorder (PTS…

  • Use of Administrative Claims Models to Assess 30-Day Mortality Among Veterans Health Administration Hospitals

    James Stirling Ro, Joseph S Ross et al.•ARTICLE•Medical Care•2010•Referências: 14

    BACKGROUND: The Centers for Medicare and Medicaid Services (CMS) publicly reports hospital-specific risk-standardized, 30-day, all-cause, mortality rates (RSMRs) for all hospitalizations among fee-for-service Medicare beneficiaries for acute myocardial infarction (AMI), heart failure (HF), and pneumonia at non-Federal hospitals. OBJECTIVE: To examine the performance of the statistical models used by CMS among veterans at least 65 years of age hos…

  • Predicting Risk of Hospitalization or Death Among Patients Receiving Primary Care in the Veterans Health Administration

    Li Wang, Brian Porter et al.•ARTICLE•Medical Care•2013•Referências: 13

    BACKGROUND: Statistical models that identify patients at elevated risk of death or hospitalization have focused on population subsets, such as those with a specific clinical condition or hospitalized patients. Most models have limitations for clinical use. Our objective was to develop models that identified high-risk primary care patients. METHODS: Using the Primary Care Management Module in the Veterans Health Administration (VHA)'s Corporate Da…

  • Prevalence, Comorbidity, and Prognosis of Mental Health Among US Veterans

    Ranak B Trivedi, Edward P Post et al.•ARTICLE•American Journal of Public Health•2015•Citada por: 15•Referências: 25

    Objectives. We evaluated the association of mental illnesses with clinical outcomes among US veterans and evaluated the effects of Primary Care–Mental Health Integration (PCMHI). Methods. A total of 4 461 208 veterans were seen in the Veterans Health Administration’s patient-centered medical homes called Patient Aligned Care Teams (PACT) in 2010 and 2011, of whom 1 147 022 had at least 1 diagnosis of depression, posttraumatic stress disorder (PTS…

Medicine (3 obras) · Primary Care and Health Outcomes (3 obras) · Administration (probate law) (2 obras) · Emergency Medicine (2 obras) · Emergency Medicine (2 obras) · Political science (2 obras) · Anxiety (1 obras) · Bipolar disorder (1 obras) · Chronic Disease Management Strategies (1 obras) · Comorbidity (1 obras)

Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae