Michael Shwartz

Dados Biográficos

ID5534331
NOMEMichael Shwartz
PRENOMESMichael
SOBRENOMEShwartz
ASSINATURASHWARTZ M
AFILIAÇÕESBoston University
ORCID0000-0003-4840-1682
VERIFICADOSim
TOTAL DE OBRAS38
TOTAL DE CITAÇÕES48
TOTAL COMO AUTOR38
TOTAL COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO1981
ANO MAIS RECENTE DE PUBLICAÇÃO2026
ÍNDICE H3

  • Examining Differences in Wait Times for Primary Care in the Veterans Health Administration by Race and Ethnicity

    Amy K Rosen, Erin Beilstein-Wedel et al.ARTICLEMedical Care2026Referências: 26

    BACKGROUND: Prior studies at the national level indicate that primary care wait times exceeded the 20-day veterans Health Administration (VA) wait time standards set for primary care. Longer wait times were also reported for Black and Hispanic versus White veterans. OBJECTIVES: Examine variation in wait time for primary care at the facility level by race and ethnicity over time and determine whether differences are due to within-facility differen…

  • Racial and Ethnic and Rural Variations in Access to Primary Care for Veterans Following the Mission Act

    Open AccessAmy K Rosen, Erin Beilstein-Wedel et al.ARTICLEJAMA Health Forum2024

    The results of this cross-sectional study suggest that additional research should explore the determinants and implications of utilization differences among Black and Hispanic veterans compared with White veterans. Efforts to promote equitable primary care access for all veterans are needed so that policy changes can be more effective in ensuring timely access to care for all veterans

  • Using the Kitagawa Decomposition to Measure Overall—and Individual Facility Contributions to—Within-facility and Between-facility Differences

    Michael Shwartz, Amy K Rosen et al.ARTICLEMedical Care2023Referências: 15

    BACKGROUND: Identifying whether differences in health care disparities are due to within-facility or between-facility differences is key to disparity reductions. The Kitagawa decomposition divides the difference between 2 means into within-facility differences and between-facility differences that are measured on the same scale as the original disparity. It also enables the identification of facilities that contribute most to within-facility diff…

  • Comparing Postoperative Readmission Rates Between Veterans Receiving Total Knee Arthroplasty in the Veterans Health Administration Versus Community Care

    Amy K Rosen, Erin E Beilstein-Wedel et al.ARTICLEMedical Care2022Referências: 36

    BACKGROUND: There are growing concerns that Veterans' increased use of Veterans Health Administration (VA)-purchased care in the community may lead to lower quality of care. OBJECTIVE: We compared rates of hospital readmissions following elective total knee arthroplasties (TKAs) that were either performed in VA or purchased by VA through community care (CC) at both the national and facility levels. METHODS: Three-year cohort study using VA and CC…

  • Rural Veterans’ Experiences With Outpatient Care in the Veterans Health Administration Versus Community Care

    Open AccessHeather Davila, Amy K Rosen et al.ARTICLEMedical Care2021Referências: 17

    BACKGROUND: The 2014 Veterans Access, Choice and Accountability Act was intended to improve Veterans' access to timely health care by expanding their options to receive community care (CC) paid for by the Veterans Health Administration (VA). Although CC could particularly benefit rural Veterans, we know little about rural Veterans' experiences with CC. OBJECTIVE: The objective of this study was to compare rural Veterans' experiences with CC and V…

  • Did Access to Care Improve Since Passage of the Veterans Choice Act

    Open AccessDeborah Gurewich, Michael Shwartz et al.ARTICLEMedical Care2021Referências: 30

    BACKGROUND: The 2014 Veterans Choice Program aimed to improve care access for Veterans through expanded availability of community care (CC). Increased access to CC could particularly benefit rural Veterans, who often face obstacles in obtaining medical care at the Veterans Health Administration (VHA). However, whether Veterans Choice Program improved timely access to care for this vulnerable population is understudied. OBJECTIVES: To examine wait…

  • Is Variation in Resident-Centered Care and Quality Performance Related to Health System Factors in Veterans Health Administration Nursing Homes

    Open AccessJennifer L Sullivan, Ryann L Engle et al.ARTICLEINQUIRY The Journal of Health…2018

    The purpose of this research was to explore and compare common health system factors for 5 Community Living Centers (ie Veterans Health Administration nursing homes) with high performance on both resident-centered care and clinical quality and for 5 Community Living Centers (CLC) with low performance on both resident-centered care and quality. In particular, we were interested in "how" and "why" some Community Living Centers were able to deliver …

  • An Introduction to the Point/Counter-Point/Reply Exchange by Dr Stone and Professor Lu and Colleagues

    Michael Shwartz, Claude Messan Setodji et al.ARTICLEMedical Care2018Referências: 3

    In “Near real-time surveillance for consequences of health policies using sequential analysis,” Lu et al1 (referred to as Lu18) illustrate use of the maximized sequential probability ratio test (maxSPRT) to detect early signals about potential unintended consequences of a health policy. These signals indicate the importance of more rigorous analysis to investigate possible policy consequences. In particular, Lu18 show that maxSPRT detected signal…

  • Characteristics of State Policies Impact Health Care Delivery

    Michal Horný, Michael Shwartz et al.ARTICLEMedical Care2018Referências: 17

    BACKGROUND: Increased breast tissue density may mask cancer and thus decrease the diagnostic sensitivity of mammography. A patient group advocacy led to the implementation of laws to increase the awareness of breast tissue density and to improve access to supplemental imaging in many states. Given limited evidence about best practices, variation exists in several characteristics of adopted policies. OBJECTIVE: To identify which characteristics of…

  • Can Composite Measures Provide a Different Perspective on Provider Performance Than Individual Measures

    Michael Shwartz, Amy K Rosen et al.ARTICLEMedical Care2017Referências: 3

    BACKGROUND: Composite measures, which aggregate performance on individual measures into a summary score, are increasingly being used to evaluate facility performance. There is little understanding of the unique perspective that composite measures provide. OBJECTIVE: To examine whether high/low (ie, high or low) performers on a composite measures are also high/low performers on most of the individual measures that comprise the composite. METHODS: …

  • Trends in the Purchase of Surgical Care in the Community by the Veterans Health Administration

    Open AccessAmy K Rosen, William O’brien et al.ARTICLEMedical Care2017Referências: 10

    BACKGROUND: The 2014 implementation of the Veterans Choice Program increased opportunities for Veterans to receive care in the community. Although surgical care is a Veterans Health Administration (VHA) priority, little is known about the types of surgeries provided in the VHA versus those referred to community care (CC), and whether Veterans are increasing their use of surgical care through CC with these additional opportunities. OBJECTIVES: To …

  • Does Use of a Hospital-wide Readmission Measure Versus Condition-specific Readmission Measures Make a Difference for Hospital Profiling and Payment Penalties

    Amy K Rosen, Qi Chen et al.ARTICLEMedical Care2016Referências: 9

    BACKGROUND: The Centers for Medicare and Medicaid Services (CMS) use public reporting and payment penalties as incentives for hospitals to reduce readmission rates. In contrast to the current condition-specific readmission measures, CMS recently developed an all-condition, 30-day all-cause hospital-wide readmission measure (HWR) to provide a more comprehensive view of hospital performance. OBJECTIVES: We examined whether assessment of hospital pe…

  • A Probability Metric for Identifying High-Performing Facilities

    Michael Shwartz, Erol A Peköz et al.ARTICLEMedical Care2014Referências: 16

    BACKGROUND: Two approaches are commonly used for identifying high-performing facilities on a performance measure: one, that the facility is in a top quantile (eg, quintile or quartile); and two, that a confidence interval is below (or above) the average of the measure for all facilities. This type of yes/no designation often does not do well in distinguishing high-performing from average-performing facilities. OBJECTIVE: To illustrate an alternat…

  • Medical and Surgical Readmissions in the Veterans Health Administration

    Amy K Rosen, Qi Chen et al.ARTICLEMedical Care2014Referências: 9

    BACKGROUND: Readmissions are an attractive quality measure because they offer a broad view of quality beyond the index hospitalization. However, the extent to which medical or surgical readmissions reflect quality of care is largely unknown, because of the complexity of factors related to readmission. Identifying those readmissions that are clinically related to the index hospitalization is an important first step in closing this knowledge gap. O…

  • Person-centered Care Practices and Quality in Department of Veterans Affairs Nursing Homes

    Jennifer L Sullivan, Michael Shwartz et al.ARTICLEMedical Care2013Referências: 13

    OBJECTIVE: To examine variation in culture change to a person-centered care (PCC) model, and the association between culture change and a composite measure of quality in 107 Department of Veterans Affairs nursing homes. METHODS: We examined the relationship between a composite quality measure calculated from 24 quality indicators (QIs) from the Minimum Data Set (that measure unfavorable events), and PCC summary scores calculated from the 6 domain…

  • Fixed-effect or Random-effect Models

    Claude Messan Setodji, Michael ShwartzARTICLEMedical Care2013Referências: 5

    RAND, Pittsburgh, PA The authors declare no conflict of interest. Reprints: Claude M. Setodji, PhD, RAND, 4570, 5th Avenue, Suite 600, Pittsburgh, PA 15213-2665. E-mail: [email protected]

  • Comparing 2 Methods of Assessing 30-Day Readmissions

    Hillary J Mull, Qi Chen et al.ARTICLEMedical Care2013Referências: 1

    BACKGROUND: The Centers for Medicare and Medicaid Services' (CMS) all-cause readmission measure and the 3M Health Information System Division Potentially Preventable Readmissions (PPR) measure are both used for public reporting. These 2 methods have not been directly compared in terms of how they identify high-performing and low-performing hospitals. OBJECTIVES: To examine how consistently the CMS and PPR methods identify performance outliers, an…

  • Examining the Impact of the AHRQ Patient Safety Indicators (PSIs) on the Veterans Health Administration

    Amy K Rosen, Susan Loveland et al.ARTICLEMedical Care2013Referências: 19

    BACKGROUND: By focusing primarily on outcomes in the inpatient setting one may overlook serious adverse events that may occur after discharge (eg, readmissions, mortality) as well as opportunities for improving outpatient care. OBJECTIVE: Our overall objective was to examine whether experiencing an Agency for Healthcare Research and Quality Patient Safety Indicator (PSI) event in an index medical or surgical hospitalization increased the likeliho…

  • Validating the Patient Safety Indicators in the Veterans Health Administration

    Amy K Rosen, Kamal M F Itani et al.ARTICLEMedical Care2012Referências: 19

    BACKGROUND: The Agency for Healthcare Research and Quality (AHRQ) Patient Safety Indicators (PSIs) use administrative data to detect potentially preventable in-hospital adverse events. However, few studies have determined how accurately the PSIs identify true safety events. OBJECTIVES: We examined the criterion validity, specifically the positive predictive value (PPV), of 12 selected PSIs using clinical data abstracted from the Veterans Health A…

  • Bringing Responsibility for Small Area Variations in Hospitalization Rates Back to the Hospital

    Michael Shwartz, Erol A Peköz et al.ARTICLEMedical Care2011Referências: 16

    OBJECTIVE: To assign responsibility for variations in small area hospitalization rates to specific hospitals and to evaluate the Roemer's Law in a way that does not artificially induce correlation between bed supply and utilization. DATA SOURCES/STUDY SETTING: We used data on hospitalizations and outpatient treatment for 15 medical conditions of nonmanaged care Part B eligible Medicare enrollees of 65 years and older in Massachusetts in 2000. STU…

  • Accounting for Variation in Technical Quality and Patient Satisfaction

    Kelly Stolzmann, Kelly L Stolzmann et al.ARTICLEMedical Care2010Referências: 31

    BACKGROUND: The delivery of healthcare depends on individual providers, coordination within teams, and the structure of the work setting. We analyzed the amount of variation in technical quality and patient satisfaction accounted for at the patient, provider, team, and medical center level. METHODS: Data abstracted from Veterans Health Administration patient medical records for 2007 were used to calculate measures of technical quality based on ad…

  • Estimating a Composite Measure of Hospital Quality From the Hospital Compare Database

    Michael Shwartz, Justin Ren et al.ARTICLEMedical Care2008Referências: 30

    BACKGROUND: A single composite measure calculated from individual quality indicators (QIs) is a useful measure of hospital performance and can be justified conceptually even when the indicators are not highly correlated with one another. OBJECTIVE: To compare 2 basic approaches for calculating a composite measure: an extension of the most widely-used approach, which weights individual indicators based on the number of people eligible for the indi…

  • Achieving Consensus Across Diverse Stakeholders on Quality Measures for Mental Healthcare

    Richard C Hermann, H Palmer et al.ARTICLEMedical Care2004Referências: 14

    OBJECTIVE: Quality-improvement efforts are hindered by a lack of consensus on meaningful and feasible measures of care. The objective of this study was to develop a core set of quality measures for mental health and substance-related care that are meaningful to stakeholders, feasible to implement, and broadly representative of diverse dimensions of the mental health system. METHOD: A 12-member panel of stakeholders from national organizations eva…

  • Does More “Appropriateness” Explain Higher Rates of Cardiac Procedures Among Patients Hospitalized With Coronary Heart Disease

    Joseph D Restuccia, Michael Shwartz et al.ARTICLEMedical Care2002Referências: 34

    BACKGROUND: There have been few studies of the extent to which differences in the pool of patients being managed might account for geographic variations in treatment rates. OBJECTIVE: For two cardiac procedures, cardiac catheterization and revascularization, we evaluate the hypothesis that differences in "the percentage of patients for whom the procedure is appropriate" is a factor explaining variations in use rates among those hospitalized with …

  • The Boston Target Cities Program

    Michael Shwartz, David R Gastfriend et al.ARTICLEJournal of Psychoactive Drugs1999