Improving the statistical approach to health care provider profiling.
about
Report of a consensus conference on transplant program quality and surveillanceEvaluating trauma center process performance in an integrated trauma system with registry data.Advanced statistics: statistical methods for analyzing cluster and cluster-randomized data.Fixed effects modelling for provider mortality outcomes: Analysis of the Australia and New Zealand Intensive Care Society (ANZICS) Adult Patient Data-baseImproving quality indicator report cards through Bayesian modeling.Surveillance of healthcare-acquired infections in Queensland, Australia: data and lessons from the first 5 years.Use of hierarchical models to evaluate performance of cardiac surgery centres in the Italian CABG outcome studyBayes rules for optimally using Bayesian hierarchical regression models in provider profiling to identify high-mortality hospitals.Improved hospital-level risk adjustment for surveillance of healthcare-associated bloodstream infections: a retrospective cohort studyVariation in antibiotic treatment for diabetic patients with serious foot infections: a retrospective observational study.Using outcomes to make inferences about nursing home quality.Loss Function Based Ranking in Two-Stage, Hierarchical ModelsPotential organ-donor supply and efficiency of organ procurement organizations.Application of a propensity score approach for risk adjustment in profiling multiple physician groups on asthma careStatistical benchmarks for health care provider performance assessment: a comparison of standard approaches to a hierarchical Bayesian histogram-based methodWhom should we profile? Examining diabetes care practice variation among primary care providers, provider groups, and health care facilitiesClassification accuracy of claims-based methods for identifying providers failing to meet performance targets.Hospital variation in survival after pediatric in-hospital cardiac arrest.The effect of dialysis chains on mortality among patients receiving hemodialysis.Prevalent but moderate variation across small geographic regions in patient nonadherence to evidence-based preventive therapies in older adults after acute myocardial infarctionPercentile-based Empirical Distribution Function Estimates for Performance Evaluation of Healthcare Providers.Analysing differences in clinical outcomes between hospitals.Handling over-dispersion of performance indicators.Association between a hospital's quality performance for in-hospital cardiac arrest and common medical conditionsComposite Measures of Health Care Provider Performance: A Description of Approaches.The CABG surgery volume-outcome relationship: temporal trends and selection effects in California, 1998-2004.Shrinkage estimators for a composite measure of quality conceptualized as a formative construct.Assessing the accuracy of profiling methods for identifying top providers: performance of mental health care providers.Hospital patterns of use of positive inotropic agents in patients with heart failureOrganizational status of dialysis facilities and patient outcome: does higher injectable medication use mediate increased mortality?Does hospital performance on process measures directly measure high quality care or is it a marker of unmeasured care?Ranking USRDS provider specific SMRs from 1998-2001.Risk-standardizing survival for in-hospital cardiac arrest to facilitate hospital comparisons.Analyzing center specific outcomes in hematopoietic cell transplantation.Methods for Estimating and Interpreting Provider-Specific Standardized Mortality Ratios.Influence of hospital and clinician workload on survival from colorectal cancer: cohort study.Evaluation of support group interventions for children in troubled families: study protocol for a quasi-experimental control group study.A scientific registry of transplant recipients bayesian method for identifying underperforming transplant programs.Variation in Empiric Coverage Versus Detection of Methicillin-Resistant Staphylococcus aureus and Pseudomonas aeruginosa in Hospitalizations for Community-Onset Pneumonia Across 128 US Veterans Affairs Medical Centers.Cost Variation in Diabetes Care across Dutch Care Groups?
P2860
Q26995150-BA6AAFE6-8E99-4095-A28E-A47BB83F016BQ30636957-ED9D6DCD-3A55-4A22-A9D2-5070F3F91EAEQ30683932-6EAFF551-3277-4EB2-86D7-247F2161C95DQ30836741-FB0977CC-C29D-400C-9ADA-E2548F9F0E72Q30854559-348ACE13-BE7E-469B-93C0-AF6F403F9649Q31170551-5D37C738-810D-47CE-867F-5A2141215BE0Q33289805-A38104F3-BFC8-4812-89D3-F8FFC723795DQ33333959-B2AC91A9-A59F-4139-A630-B14F88F69FDDQ33498654-3D7927D2-E1C5-42EF-8273-800B12F81617Q33625956-E76FD460-AB4C-46AB-AA2B-B49BF37B1A69Q33648241-6024852A-8308-4103-9E32-FEF16D4FD7B8Q33957301-04626581-B9EF-4FEF-9629-A442E0354DFEQ34327831-D6FA22FB-4C79-4ED6-8AB3-ED6B4E7D49D0Q34337181-8CBF1D04-92B9-4F3B-BF7D-C83D633E74AEQ34509229-E73A8977-6737-450B-9A86-80D5080332C3Q34623295-AAEE2E60-4E98-4498-A24E-966B6A8F7296Q34674227-F5694115-24F4-4F03-AF35-747714C48206Q34771286-354B1762-8CC7-487A-8D0C-9ED7AABB3ACEQ34990768-A4FC5608-4572-47A5-BED3-A70F2AC787E5Q35178428-DC403059-F82F-422B-87CF-845438D4210BQ35208148-79B6CC8C-A5EF-4D36-8B24-275F770FFCBFQ35526437-F6C0F08C-8C14-4B6A-B355-C3DCCA8432CBQ35528079-D61C47DB-38CC-4F0E-917A-F7B5C5A81415Q35737413-7852BF80-3F83-4A67-9991-4BAD1ED920B7Q36371188-780F1897-FCB0-454E-A435-174ABBB6965AQ36570436-675E4C2F-F12C-449E-BE0F-DE326C2782C5Q36661514-897EDF59-4BB5-47CB-9718-0CFD9D2B330DQ36740749-A4603599-7031-4A75-8B4E-F68C33CB8728Q36796516-ECE4FFF5-2CEE-420A-A401-0D4CAB5C46D3Q36925390-DA7D430E-B9EF-4DEF-A3BC-7CDF5E2458A8Q37123693-2D9DECB8-1922-4B18-BBDF-71E4C2732E4AQ37147186-B28989EE-F8A0-420F-BAFA-840FB8D21E46Q37162592-A8CBA392-BF0D-444C-B02D-3F4D4919276DQ37258830-681EC09E-1B02-4DA4-A0ED-993F9DEAD7CAQ37259873-762369A6-99AF-489C-A41E-2243CC7843B9Q37456807-9C1D5641-3B88-4515-8055-62116D6B9569Q37593166-290EBC5E-4E51-4D4E-B16D-DDDEB65825C0Q38208541-9F3A045D-0F3F-490C-B2DC-1627F420F882Q38716765-46C08608-A34E-4FCC-9D6D-A5B13077A56AQ39903140-D845A2ED-6A3D-4F7B-BB32-B98B254CD0DE
P2860
Improving the statistical approach to health care provider profiling.
description
1997 nî lūn-bûn
@nan
1997年の論文
@ja
1997年学术文章
@wuu
1997年学术文章
@zh
1997年学术文章
@zh-cn
1997年学术文章
@zh-hans
1997年学术文章
@zh-my
1997年学术文章
@zh-sg
1997年學術文章
@yue
1997年學術文章
@zh-hant
name
Improving the statistical approach to health care provider profiling.
@en
Improving the statistical approach to health care provider profiling.
@nl
type
label
Improving the statistical approach to health care provider profiling.
@en
Improving the statistical approach to health care provider profiling.
@nl
prefLabel
Improving the statistical approach to health care provider profiling.
@en
Improving the statistical approach to health care provider profiling.
@nl
P1476
Improving the statistical approach to health care provider profiling
@en
P2093
C N Morris
P304
P356
10.7326/0003-4819-127-8_PART_2-199710151-00065
P407
P433
P577
1997-10-01T00:00:00Z