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Thomas M Richards

Biographic Data

ID5534803
NAMEThomas M Richards
GIVEN NAMESThomas M
FAMILY NAMERichards
SIGNATURERICHARDS T M
AFFILIATIONSJohns Hopkins University
ORCID0000-0003-4945-9050
VERIFIEDNo
TOTAL WORKS5
TOTAL CITATIONS4
WORKS AS AUTHOR5
WORKS AS EDITOR0
FIRST PUBLICATION YEAR1995
LATEST PUBLICATION YEAR2020
H-INDEX1
  • The Impact of Various Risk Assessment Time Frames on the Performance of Opioid Overdose Forecasting Models

    Hsien-Yen Chang, Hsien‐Yen Chang et al.•ARTICLE•Medical Care•2020•References: 15

    BACKGROUND: An individual's risk for future opioid overdoses is usually assessed using a 12-month "lookback" period. Given the potential urgency of acting rapidly, we compared the performance of alternative predictive models with risk information from the past 3, 6, 9, and 12 months. METHODS: We included 1,014,033 Maryland residents aged 18-80 with at least 1 opioid prescription and no recorded death in 2015. We used 2015 Maryland prescription dr…

  • Evaluating the Impact of Prescription Fill Rates on Risk Stratification Model Performance

    Hsien-Yen Chang, Hsien‐Yen Chang et al.•ARTICLE•Medical Care•2017•References: 33

    BACKGROUND: Risk adjustment models are traditionally derived from administrative claims. Prescription fill rates-extracted by comparing electronic health record prescriptions and pharmacy claims fills-represent a novel measure of medication adherence and may improve the performance of risk adjustment models. OBJECTIVE: We evaluated the impact of prescription fill rates on claims-based risk adjustment models in predicting both concurrent and prosp…

  • Comparing Population-based Risk-stratification Model Performance Using Demographic, Diagnosis and Medication Data Extracted From Outpatient Electronic Health Records Versus Administrative Claims

    Hadi Kharrazi, Winnie Chi et al.•ARTICLE•Medical Care•2017•References: 18

    BACKGROUND: There is an increasing demand for electronic health record (EHR)-based risk stratification and predictive modeling tools at the population level. This trend is partly due to increased value-based payment policies and the increasing availability of EHRs at the provider level. Risk stratification models, however, have been traditionally derived from claims or encounter systems. This study evaluates the challenges and opportunities of us…

  • Impact of Bariatric Surgery on Health Care Utilization and Costs Among Patients With Diabetes

    Sara N Bleich, Harvey J Sugerman et al.•ARTICLE•Medical Care•2012•References: 6

    Sugerman, Harvey J. MD, FACS*; Blackstone, Robin P. MD†; Dixon, John B. MD, PhD‡; Kral, John G. MD, PhD§; Wolfe, Bruce M. MD∥ Author Information

  • Preventive services for the elderly

    Lynda Burton, L C Burton et al.•ARTICLE•American Journal of Public Health•1995•Cited by: 4•References: 7

    OBJECTIVES. This study was undertaken to determine whether adding a benefit for preventive services to older Medicare beneficiaries would affect utilization and costs under Medicare. METHODS. The demonstration used an experimental design, enrolling 4195 older, community-dwelling Medicare recipients. Medicare claims data for the 2 years in which the preventive visits occurred were compared for the intervention (n = 2105) and control (n = 2090) gro…

  • Preventive services for the elderly

    Lynda Burton, L C Burton et al.•ARTICLE•American Journal of Public Health•1995•Cited by: 4•References: 7

    OBJECTIVES. This study was undertaken to determine whether adding a benefit for preventive services to older Medicare beneficiaries would affect utilization and costs under Medicare. METHODS. The demonstration used an experimental design, enrolling 4195 older, community-dwelling Medicare recipients. Medicare claims data for the 2 years in which the preventive visits occurred were compared for the intervention (n = 2105) and control (n = 2090) gro…

  • Preventive services for the elderly

    Lynda Burton, L C Burton et al.•ARTICLE•American Journal of Public Health•1995•Cited by: 4•References: 7

    OBJECTIVES. This study was undertaken to determine whether adding a benefit for preventive services to older Medicare beneficiaries would affect utilization and costs under Medicare. METHODS. The demonstration used an experimental design, enrolling 4195 older, community-dwelling Medicare recipients. Medicare claims data for the 2 years in which the preventive visits occurred were compared for the intervention (n = 2105) and control (n = 2090) gro…

  • Impact of Bariatric Surgery on Health Care Utilization and Costs Among Patients With Diabetes

    Sara N Bleich, Harvey J Sugerman et al.•ARTICLE•Medical Care•2012•References: 6

    Sugerman, Harvey J. MD, FACS*; Blackstone, Robin P. MD†; Dixon, John B. MD, PhD‡; Kral, John G. MD, PhD§; Wolfe, Bruce M. MD∥ Author Information

  • Evaluating the Impact of Prescription Fill Rates on Risk Stratification Model Performance

    Hsien-Yen Chang, Hsien‐Yen Chang et al.•ARTICLE•Medical Care•2017•References: 33

    BACKGROUND: Risk adjustment models are traditionally derived from administrative claims. Prescription fill rates-extracted by comparing electronic health record prescriptions and pharmacy claims fills-represent a novel measure of medication adherence and may improve the performance of risk adjustment models. OBJECTIVE: We evaluated the impact of prescription fill rates on claims-based risk adjustment models in predicting both concurrent and prosp…

  • Comparing Population-based Risk-stratification Model Performance Using Demographic, Diagnosis and Medication Data Extracted From Outpatient Electronic Health Records Versus Administrative Claims

    Hadi Kharrazi, Winnie Chi et al.•ARTICLE•Medical Care•2017•References: 18

    BACKGROUND: There is an increasing demand for electronic health record (EHR)-based risk stratification and predictive modeling tools at the population level. This trend is partly due to increased value-based payment policies and the increasing availability of EHRs at the provider level. Risk stratification models, however, have been traditionally derived from claims or encounter systems. This study evaluates the challenges and opportunities of us…

  • The Impact of Various Risk Assessment Time Frames on the Performance of Opioid Overdose Forecasting Models

    Hsien-Yen Chang, Hsien‐Yen Chang et al.•ARTICLE•Medical Care•2020•References: 15

    BACKGROUND: An individual's risk for future opioid overdoses is usually assessed using a 12-month "lookback" period. Given the potential urgency of acting rapidly, we compared the performance of alternative predictive models with risk information from the past 3, 6, 9, and 12 months. METHODS: We included 1,014,033 Maryland residents aged 18-80 with at least 1 opioid prescription and no recorded death in 2015. We used 2015 Maryland prescription dr…

Family medicine (5 works) · Medicine (5 works) · Emergency Medicine (4 works) · Emergency Medicine (4 works) · Health care (4 works) · Internal Medicine (4 works) · Internal Medicine (4 works) · Pharmacy (3 works) · Pharmacy (3 works) · Electronic Health Records Systems (2 works)

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