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Makoto Jones

Biographic Data

ID5536998
NAMEMakoto Jones
GIVEN NAMESMakoto
FAMILY NAMEJones
SIGNATUREJONES M
AFFILIATIONSUniversity of Utah
ORCID0000-0001-5580-6739
VERIFIEDNo
TOTAL WORKS5
TOTAL CITATIONS0
WORKS AS AUTHOR5
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2015
LATEST PUBLICATION YEAR2025
H-INDEX0
  • Covid-19 Vaccine Rollout Strategies in Utah from Local Health Departments’ Perspectives

    Open Access•Khanh Ngoc Cong Duong, Sajesh K Veettil et al.•ARTICLE•Health Equity•2025

    Introduction: Local health departments (LHDs) play an essential role in providing COVID-19 vaccines to underserved populations in Utah. This study aimed to understand barriers to COVID-19 vaccine uptake for these populations and challenges faced by LHDs from LHDs' perspectives. In addition, we explored LHDs' experience with implementing COVID-19 mobile vaccine clinics (MVCs) in Utah. Materials and Methods: We conducted virtual focus group discuss…

  • Combining Machine Learning and Comparative Effectiveness Methodology to Study Primary Care Pharmacotherapy Pathways for Veterans With Depression

    Ozgur Ozmen, Everett Rush et al.•ARTICLE•Medical Care•2025•References: 22

    OBJECTIVES: To demonstrate an innovative method combining machine learning with comparative effectiveness research techniques and to investigate a hitherto unstudied question about the effectiveness of common prescribing patterns. DATA SOURCES: United States Veterans Health Administration Corporate Data Warehouse. STUDY DESIGN: For Operation Enduring Freedom/Operation Iraqi Freedom veterans with major depressive disorder, we generate pharmacother…

  • Disparities in Covid-19 related outcomes in the United States by race and ethnicity pre-vaccination era

    Open Access•Khanh Ngoc Cong Duong, Lan Le et al.•ARTICLE•Frontiers in Public Health•2023

    Background: Meta-analyses have investigated associations between race and ethnicity and COVID-19 outcomes. However, there is uncertainty about these associations' existence, magnitude, and level of evidence. We, therefore, aimed to synthesize, quantify, and grade the strength of evidence of race and ethnicity and COVID-19 outcomes in the US. Methods: In this umbrella review, we searched four databases (Pubmed, Embase, the Cochrane Database of Sys…

  • In Data We Trust? Comparison of Electronic Versus Manual Abstraction of Antimicrobial Prescribing Quality Metrics for Hospitalized Veterans With Pneumonia

    Barbara Jones, Barbara E Jones et al.•ARTICLE•Medical Care•2018•References: 22

    BACKGROUND: Electronic health records provide the opportunity to assess system-wide quality measures. Veterans Affairs Pharmacy Benefits Management Center for Medication Safety uses medication use evaluation (MUE) through manual review of the electronic health records. OBJECTIVE: To compare an electronic MUE approach versus human/manual review for extraction of antibiotic use (choice and duration) and severity metrics. RESEARCH DESIGN: Retrospect…

  • Reducing Time-dependent Bias in Estimates of the Attributable Cost of Health Care–associated Methicillin-resistant Staphylococcus aureus Infections

    Richard E Nelson, Matthew H Samore et al.•ARTICLE•Medical Care•2015•References: 25

    BACKGROUND: Previous estimates of the excess costs due to health care-associated infection (HAI) have scarcely addressed the issue of time-dependent bias. OBJECTIVE: We examined time-dependent bias by estimating the health care costs attributable to an HAI due to methicillin-resistant Staphylococcus aureus (MRSA) using a unique dataset in the Department of Veterans Affairs (VA) that makes it possible to distinguish between costs that occurred bef…

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  • Reducing Time-dependent Bias in Estimates of the Attributable Cost of Health Care–associated Methicillin-resistant Staphylococcus aureus Infections

    Richard E Nelson, Matthew H Samore et al.•ARTICLE•Medical Care•2015•References: 25

    BACKGROUND: Previous estimates of the excess costs due to health care-associated infection (HAI) have scarcely addressed the issue of time-dependent bias. OBJECTIVE: We examined time-dependent bias by estimating the health care costs attributable to an HAI due to methicillin-resistant Staphylococcus aureus (MRSA) using a unique dataset in the Department of Veterans Affairs (VA) that makes it possible to distinguish between costs that occurred bef…

  • In Data We Trust? Comparison of Electronic Versus Manual Abstraction of Antimicrobial Prescribing Quality Metrics for Hospitalized Veterans With Pneumonia

    Barbara Jones, Barbara E Jones et al.•ARTICLE•Medical Care•2018•References: 22

    BACKGROUND: Electronic health records provide the opportunity to assess system-wide quality measures. Veterans Affairs Pharmacy Benefits Management Center for Medication Safety uses medication use evaluation (MUE) through manual review of the electronic health records. OBJECTIVE: To compare an electronic MUE approach versus human/manual review for extraction of antibiotic use (choice and duration) and severity metrics. RESEARCH DESIGN: Retrospect…

  • Disparities in Covid-19 related outcomes in the United States by race and ethnicity pre-vaccination era

    Open Access•Khanh Ngoc Cong Duong, Lan Le et al.•ARTICLE•Frontiers in Public Health•2023

    Background: Meta-analyses have investigated associations between race and ethnicity and COVID-19 outcomes. However, there is uncertainty about these associations' existence, magnitude, and level of evidence. We, therefore, aimed to synthesize, quantify, and grade the strength of evidence of race and ethnicity and COVID-19 outcomes in the US. Methods: In this umbrella review, we searched four databases (Pubmed, Embase, the Cochrane Database of Sys…

  • Covid-19 Vaccine Rollout Strategies in Utah from Local Health Departments’ Perspectives

    Open Access•Khanh Ngoc Cong Duong, Sajesh K Veettil et al.•ARTICLE•Health Equity•2025

    Introduction: Local health departments (LHDs) play an essential role in providing COVID-19 vaccines to underserved populations in Utah. This study aimed to understand barriers to COVID-19 vaccine uptake for these populations and challenges faced by LHDs from LHDs' perspectives. In addition, we explored LHDs' experience with implementing COVID-19 mobile vaccine clinics (MVCs) in Utah. Materials and Methods: We conducted virtual focus group discuss…

  • Combining Machine Learning and Comparative Effectiveness Methodology to Study Primary Care Pharmacotherapy Pathways for Veterans With Depression

    Ozgur Ozmen, Everett Rush et al.•ARTICLE•Medical Care•2025•References: 22

    OBJECTIVES: To demonstrate an innovative method combining machine learning with comparative effectiveness research techniques and to investigate a hitherto unstudied question about the effectiveness of common prescribing patterns. DATA SOURCES: United States Veterans Health Administration Corporate Data Warehouse. STUDY DESIGN: For Operation Enduring Freedom/Operation Iraqi Freedom veterans with major depressive disorder, we generate pharmacother…

Medicine (5 works) · Internal Medicine (4 works) · Family medicine (3 works) · Health care (3 works) · Internal Medicine (3 works) · Veterans Affairs (3 works) · Antibiotic Use and Resistance (2 works) · Emergency Medicine (2 works) · Emergency Medicine (2 works) · Health Policy Implementation Science (2 works)

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