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Andrew M. Ryan
University of Michigan
CancerHealth careOvarian cancerFamily medicineMedicine
272Publications
44H-index
7,434Citations
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Publications 270
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#1Kyle H. Sheetz (UM: University of Michigan)H-Index: 18
#2Andrew M. Ryan (UM: University of Michigan)H-Index: 44
The Centres for Medicare and Medicaid Services (CMS) announced the Hospital Acquired Conditions Reduction Program (HACRP) in 2013, which penalises the 25% of hospitals in USA with the highest rates of hospital-acquired conditions (HACs). CMS uses two domains to measure the incidence of conditions for this programme—the Agency for Healthcare Research and Quality’s Patient Safety Indicators (PSI-90) (Domain 1) and the National Healthcare Safety Network (NHSN) hospital-associated infection measures...
1 CitationsSource
#1James Dilley (UCL: University College London)H-Index: 1
#2Matthew Burnell (UCL: University College London)H-Index: 23
Last. Robert Woolas (QA: Queen Alexandra Hospital)H-Index: 15
view all 19 authors...
Abstract Objective There are widespread efforts to increase symptom awareness of ‘pelvic/abdominal pain, increased abdominal size/bloating, difficulty eating/feeling full and urinary frequency/urgency’ in an attempt to diagnose ovarian cancer earlier. Long-term survival of women with these symptoms adjusted for known prognostic factors is yet to be determined. This study explored the association of symptoms, routes and interval to diagnosis and long-term survival in a population-based cohort of ...
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#2Brenda M. VincentH-Index: 6
Last. Hallie C. PrescottH-Index: 19
view all 10 authors...
Template matching is a proposed approach for hospital benchmarking, which measures performance based on matching a subset of comparable patient hospitalizations from each hospital. We assessed the ability to create the required matched samples and thus the feasibility of template matching to benchmark hospital performance in a diverse healthcare system.Nationwide Veterans Affairs (VA) hospitals, 2017.Observational cohort study.We used administrative and clinical data from 668,592 hospitalization...
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#1Benjamin A. Y. Cher (UM: University of Michigan)H-Index: 1
#2Andrew M. Ryan (UM: University of Michigan)H-Index: 44
Last. Kyle H. Sheetz (UM: University of Michigan)H-Index: 18
view all 4 authors...
Importance The Centers for Medicare & Medicaid Services is beginning to consider adjusting for social risk factors, such as dual eligibility for Medicare and Medicaid, when evaluating hospital performance under value-based purchasing programs. It is unknown whether dual eligibility represents a unique domain of social risk or instead represents clinical risk unmeasured by variables available in traditional Medicare claims. Objective To assess how dual eligibility for Medicare and Medicaid is ass...
1 CitationsSource
#1Cheryl K. Zogg (Yale University)H-Index: 16
#2Jyothi R. Thumma (UM: University of Michigan)H-Index: 13
Last. Justin B. Dimick (UM: University of Michigan)H-Index: 70
view all 4 authors...
OBJECTIVE: To assess whether a hospital's percentage of Black patients associates with variations in FY2017 overall/domain-specific Hospital Acquired-Condition Reduction Program (HACRP) scores and penalty receipt. Differences in socioeconomic status and receipt of disproportionate share hospital payments (a marker of safety-net status) were also assessed. SUMMARY OF BACKGROUND DATA: In FY2015, Medicare began reducing payments to hospitals with high adverse event rates. Concern has been expressed...
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#1Roshun Sankaran (UM: University of Michigan)H-Index: 3
#2Baris Gulseren (UM: University of Michigan)H-Index: 1
Last. Andrew M. Ryan (UM: University of Michigan)H-Index: 44
view all 8 authors...
Abstract Background The Hospital Acquired Conditions Reduction Program (HACRP) from the Centers for Medicare and Medicaid Services reduces Medicare payments to hospitals with high rates of HACs by 1% each year. It is not known how the savings accruing to CMS from such penalties compare to savings resulting from a reduction in HACs driven by this program. Objective To compare the reported savings to CMS from financial penalties levied under the HACRP with savings resulting from potential reductio...
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#1Emily J. Lawton (UM: University of Michigan)
#2Kyle H. Sheetz (UM: University of Michigan)H-Index: 18
Last. Andrew M. Ryan (UM: University of Michigan)H-Index: 44
view all 3 authors...
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#1Karan R. Chhabra (Brigham and Women's Hospital)H-Index: 6
#2Keegan McGuire (UM: University of Michigan)
Last. Andrew M. Ryan (UM: University of Michigan)H-Index: 44
view all 6 authors...
Surprise" out-of-network bills have come under close scrutiny, and while ambulance transportation is known to be a large component of the problem, its impact is poorly understood. We measured the prevalence and financial impact of out-of-network billing in ground and air ambulance transportation. For members of a large national insurance plan in 2013-17, 71 percent of all ambulance rides involved potential surprise bills. For both ground and air ambulances, out-of-network charges were substantia...
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#1Wenshuo Liu (UM: University of Michigan)H-Index: 2
#2Cooper Stansbury (UM: University of Michigan)H-Index: 1
Last. Brahmajee K. Nallamothu (UM: University of Michigan)H-Index: 77
view all 9 authors...
Reducing unplanned readmissions is a major focus of current hospital quality efforts. In order to avoid unfair penalization, administrators and policymakers use prediction models to adjust for the performance of hospitals from healthcare claims data. Regression-based models are a commonly utilized method for such risk-standardization across hospitals; however, these models often suffer in accuracy. In this study we, compare four prediction models for unplanned patient readmission for patients ho...
1 CitationsSource
#1P M Trembling (UCL: University College London)H-Index: 7
#2Sophia Apostolidou (UCL: University College London)H-Index: 16
Last. William Rosenberg (UCL: University College London)H-Index: 51
view all 10 authors...
BACKGROUND: Chronic liver disease (CLD) is usually asymptomatic but earlier detection is critical to permit life-saving interventions for those at risk due to high alcohol consumption and increased body mass index (BMI). The aim of this study was to estimate the association between the Enhanced Liver Fibrosis (ELF) test and liver-related events (LRE) and its performance in predicting LRE in postmenopausal women with risk factors in a nested case-control study within the United Kingdom Trial of O...
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