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Haili Sun

Biographic Data

ID5543014
NAMEHaili Sun
GIVEN NAMESHaili
FAMILY NAMESun
SIGNATURESUN H
AFFILIATIONSVA Puget Sound Health Care System
ORCID0000-0002-6556-9922
VERIFIEDNo
TOTAL WORKS3
TOTAL CITATIONS15
AUTHOR COUNT3
EDITOR COUNT0
FIRST PUBLICATION YEAR2010
LATEST PUBLICATION YEAR2015
H-INDEX1
  • 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•Cited by: 15•References: 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•References: 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•References: 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•Cited by: 15•References: 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•References: 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•References: 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•Cited by: 15•References: 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 works) · Primary Care and Health Outcomes (3 works) · Administration (probate law) (2 works) · Emergency Medicine (2 works) · Emergency Medicine (2 works) · Political science (2 works) · Anxiety (1 works) · Bipolar disorder (1 works) · Chronic Disease Management Strategies (1 works) · Comorbidity (1 works)

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