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Yixue Shao

Biographic Data

ID5544990
NAMEYixue Shao
GIVEN NAMESYixue
FAMILY NAMEShao
SIGNATURESHAO Y
AFFILIATIONSTulane University
ORCID0000-0003-1410-5455
VERIFIEDNo
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2023
LATEST PUBLICATION YEAR2023
H-INDEX0
  • Telehealth and Medicare Type 2 Diabetes Care Outcomes

    Benjamin Walker, Brigham Walker et al.•ARTICLE•Medical Care•2023•References: 20

    BACKGROUND: At the onset of the COVID-19 pandemic, the Centers for Medicare and Medicaid Services broadened access to telehealth. This provided an opportunity to test whether diabetes, a risk factor for COVID-19 severity, can be managed with telehealth services. OBJECTIVE: The objective of this study was to examine the impacts of telehealth on diabetes control. RESEARCH DESIGN: A doubly robust estimator combined a propensity score-weighting strat…

  • Disparities in Telemedicine Use Among Louisiana Medicaid Beneficiaries During the Covid-19 Pandemic

    Kevin Callison, Andrew Anderson et al.•ARTICLE•Medical Care•2023•References: 32

    BACKGROUND: The COVID-19 pandemic led to an increased reliance on telemedicine. Whether this exacerbated existing disparities within vulnerable populations is not yet known. OBJECTIVES: Characterize changes in outpatient telemedicine evaluation and management (E&M) services for Louisiana Medicaid beneficiaries by race, ethnicity, and rurality during the COVID-19 pandemic. RESEARCH DESIGN: Interrupted time series regression models estimated pre-CO…

  • The Impact of Reimbursement for Non–Face-to-Face Chronic Care Management on Comprehensive Metabolic Biomarkers Among Multimorbid Patients With Type 2 Diabetes

    Open Access•Yixue Shao, Charles Stoecker et al.•ARTICLE•Medical Care•2023•References: 18

    AIMS: We evaluated the impact of reimbursement for non-face-to-face chronic care management (NFFCCM) on comprehensive metabolic risk factors among multimorbid Medicare beneficiaries with type 2 diabetes in Louisiana. MATERIALS AND METHODS: We implemented a propensity score method to obtain comparable treatment (n=1501 with NFFCCM) and control (n=17,524 without NFFCCM) groups. Patients with type 2 diabetes were extracted from the electronic health…

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  • Telehealth and Medicare Type 2 Diabetes Care Outcomes

    Benjamin Walker, Brigham Walker et al.•ARTICLE•Medical Care•2023•References: 20

    BACKGROUND: At the onset of the COVID-19 pandemic, the Centers for Medicare and Medicaid Services broadened access to telehealth. This provided an opportunity to test whether diabetes, a risk factor for COVID-19 severity, can be managed with telehealth services. OBJECTIVE: The objective of this study was to examine the impacts of telehealth on diabetes control. RESEARCH DESIGN: A doubly robust estimator combined a propensity score-weighting strat…

  • Disparities in Telemedicine Use Among Louisiana Medicaid Beneficiaries During the Covid-19 Pandemic

    Kevin Callison, Andrew Anderson et al.•ARTICLE•Medical Care•2023•References: 32

    BACKGROUND: The COVID-19 pandemic led to an increased reliance on telemedicine. Whether this exacerbated existing disparities within vulnerable populations is not yet known. OBJECTIVES: Characterize changes in outpatient telemedicine evaluation and management (E&M) services for Louisiana Medicaid beneficiaries by race, ethnicity, and rurality during the COVID-19 pandemic. RESEARCH DESIGN: Interrupted time series regression models estimated pre-CO…

  • The Impact of Reimbursement for Non–Face-to-Face Chronic Care Management on Comprehensive Metabolic Biomarkers Among Multimorbid Patients With Type 2 Diabetes

    Open Access•Yixue Shao, Charles Stoecker et al.•ARTICLE•Medical Care•2023•References: 18

    AIMS: We evaluated the impact of reimbursement for non-face-to-face chronic care management (NFFCCM) on comprehensive metabolic risk factors among multimorbid Medicare beneficiaries with type 2 diabetes in Louisiana. MATERIALS AND METHODS: We implemented a propensity score method to obtain comparable treatment (n=1501 with NFFCCM) and control (n=17,524 without NFFCCM) groups. Patients with type 2 diabetes were extracted from the electronic health…

Health care (3 works) · Internal Medicine (3 works) · Internal Medicine (3 works) · Medicine (3 works) · Chronic Disease Management Strategies (2 works) · Diabetes Management and Education (2 works) · Diabetes mellitus (2 works) · Medicaid (2 works) · Telemedicine (2 works) · Telemedicine and Telehealth Implementation (2 works)

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