Ann M Borzecki

Datos Biográficos

ID5535753
NOMBREAnn M Borzecki
NOMBRESAnn M
APELLIDOBorzecki
FIRMABORZECKI A M
AFILIACIONESBoston University
ORCID0000-0003-1894-1274
VERIFICADOSí
TOTAL DE OBRAS8
TOTAL DE CITAS0
TOTAL COMO AUTOR8
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2010
AÑO MÁS RECIENTE DE PUBLICACIÓN2019
ÍNDICE H0

  • Beyond Medication Adherence

    Nancy R Kressin, A Rani Elwy et al.ARTICLEEthnicity & Disease2019

    Results suggest that when clinicians must choose a dimension on which to intervene, focusing on beliefs would be the most fruitful approach to effecting change in BP control

  • 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 Care2016Referencias: 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…

  • Medical and Surgical Readmissions in the Veterans Health Administration

    Amy K Rosen, Qi Chen et al.ARTICLEMedical Care2014Referencias: 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…

  • Comparing 2 Methods of Assessing 30-Day Readmissions

    Hillary J Mull, Qi Chen et al.ARTICLEMedical Care2013Referencias: 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 Care2013Referencias: 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 Care2012Referencias: 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…

  • Comparison of In-Hospital Versus 30-Day Mortality Assessments for Selected Medical Conditions

    Ann M Borzecki, Cindy L Christiansen et al.ARTICLEMedical Care2010Referencias: 8

    BACKGROUND: In-hospital mortality measures such as the Agency for Healthcare Research and Quality (AHRQ) Inpatient Quality Indicators (IQIs) are easily derived using hospital discharge abstracts and publicly available software. However, hospital assessments based on a 30-day postadmission interval might be more accurate given potential differences in facility discharge practices. OBJECTIVES: To compare in-hospital and 30-day mortality rates for 6…

  • Trends in the Inpatient Quality Indicators

    Ann M Borzecki, Cindy L Christiansen et al.ARTICLEMedical Care2010Referencias: 25

    BACKGROUND: The Agency for Healthcare Research and Quality Inpatient Quality Indicators (IQIs), which include in-hospital mortality and utilization rates, have received little attention in the Veterans Health Administration (VA), despite extensive private sector use for quality improvement. OBJECTIVES: We examined the following: the feasibility of applying the IQIs to VA data; temporal trends in national VA IQI rates; temporal and regional IQI tr…