Comparing Observed and Predicted Mortality Among ICUs Using Different Prognostic Systems: Why Do Performance Assessments Differ?*

No abstract is available for this paper.

• Publication year

  2015

• Venue

  Critical Care Medicine

• Publication date

  2015-02-01

• Fields of study

  Medicine

• Identifiers
  DOI 10.1097/CCM.0000000000000694PMID 25365725
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

• Comparison of the Mortality Probability Admission Model III, National Quality Forum, and Acute Physiology and Chronic Health Evaluation IV Hospital Mortality Models: Implications for National Benchmarking*

  2014cited by this paper
• The Association Between ICU Readmission Rate and Patient Outcomes*

  2013cited by this paper
• The present use of quality indicators in the intensive care unit

  2012cited by this paper
• A comparison of the performance of a model based on administrative data and a model based on clinical data: Effect of severity of illness on standardized mortality ratios of intensive care units*

  2012influential reference
• Severity scoring in the critically ill: part 2: maximizing value from outcome prediction scoring systems.

  2012cited by this paper
• Comparison of APACHE III, APACHE IV, SAPS 3, and MPM0III and influence of resuscitation status on model performance.

  2012cited by this paper
• Benchmark Data From More Than 240,000 Adults That Reflect the Current Practice of Critical Care in the United States

  2012cited by this paper
• Severity scoring in the critically ill: part 1--interpretation and accuracy of outcome prediction scoring systems.

  2012cited by this paper
• Infrastructure for quality transformation: measurement and reporting in veterans administration intensive care units

  2011cited by this paper
• Benchmark data from more than 240,000 adults that reflect the current practice of critical care in the United States.

  2011cited by this paper
• Severity of illness scoring systems in the intensive care unit

  2011cited by this paper
• Critical Illness Outcomes in Specialty versus General Intensive Care Units

  2010cited by this paper
• Development and Application of a Framework for Maintenance of Medical Terminological Systems

  2010cited by this paper
• Critical illness outcomes in specialty versus general intensive care units.

  2009cited by this paper
• Relationship Between Discharge Practices and Intensive Care Unit In-Hospital Mortality Performance: Evidence of a Discharge Bias

  2009cited by this paper
• Antioxidant therapy: reducing malaria severity?

  2009cited by this paper
• Association between ICU admission during morning rounds and mortality.

  2009cited by this paper
• Veterans Affairs intensive care unit risk adjustment model: Validation, updating, recalibration*

  2008cited by this paper
• Variation in ICU risk-adjusted mortality: impact of methods of assessment and potential confounders.

  2008influential reference
• Quantifying Risk and Benchmarking Performance in the Adult Intensive Care Unit

  2007cited by this paper
• Assessing contemporary intensive care unit outcome: An updated Mortality Probability Admission Model (MPM0-III)*

  2007cited by this paper
• Variability in outcome and resource use in intensive care units

  2007cited by this paper
• Transferring critically ill patients out of hospital improves the standardized mortality ratio: a simulation study.

  2007cited by this paper
• External validation of prognostic models for critically ill patients required substantial sample sizes.

  2007cited by this paper
• Quality measurement in adult cardiac surgery: part 1--Conceptual framework and measure selection.

  2007cited by this paper
• A new risk prediction model for critical care: The Intensive Care National Audit & Research Centre (ICNARC) model*

  2007cited by this paper
• Assessing the calibration of mortality benchmarks in critical care: The Hosmer-Lemeshow test revisited*

  2007cited by this paper
• Recalibration of risk prediction models in a large multicenter cohort of admissions to adult, general critical care units in the United Kingdom*

  2006cited by this paper
• SAPS 3—From evaluation of the patient to evaluation of the intensive care unit.Part 2: Development of a prognostic model for hospital mortality at ICU admission

  2006cited by this paper
• Acute Physiology and Chronic Health Evaluation (APACHE) IV: Hospital mortality assessment for today’s critically ill patients*

  2006cited by this paper
• SAPS 3—From evaluation of the patient to evaluation of the intensive care unit. Part 2: Development of a prognostic model for hospital mortality at ICU admission

  2005cited by this paper
• Evaluating the performance of an institution using an intensive care unit benchmark.

  2005cited by this paper
• Impact of exclusion criteria on case mix, outcome, and length of stay for the severity of disease scoring methods in common use in critical care.

  2004cited by this paper
• Accepting Critically Ill Transfer Patients: Adverse Effect on a Referral Center's Outcome and Benchmark Measures

  2003cited by this paper
• The use of benchmarking to identify top performing critical care units: a preliminary assessment of their policies and practices.

  2003cited by this paper
• Rating the quality of intensive care units: Is it a function of the intensive care unit scoring system?*

  2002cited by this paper
• A Decade’s Experience With Quality Improvement in Cardiac Surgery Using the Veterans Affairs and Society of Thoracic Surgeons National Databases

  2001cited by this paper
• Relationship between trauma center volume and outcomes.

  2001cited by this paper
• Use of intensive care‐specific interventions in major teaching and other hospitals: A regional comparison

  2000cited by this paper
• Clinical Investigations in Critical CareCommunity-Wide Assessment of Intensive Care Outcomes Using a Physiologically Based Prognostic Measure: Implications for Critical Care Delivery From Cleveland Health Quality Choice

  1999cited by this paper
• The risks of risk adjustment.

  1997cited by this paper
• Impact of different customization strategies in the performance of a general severity score.

  1997cited by this paper
• A method for assessing the clinical performance and cost‐effectiveness of intensive care units: A multicenter inception cohort study

  1994cited by this paper
• The standardized mortality ratio revisited: improvements, innovations, and limitations.

  1994cited by this paper
• Value and cost of teaching hospitals: A prospective, multicenter, inception cohort study

  1993cited by this paper
• Explaining variations in hospital death rates. Randomness, severity of illness, quality of care.

  1990cited by this paper
• The meaning and use of the area under a receiver operating characteristic (ROC) curve.

  1982influential reference
• VERIFICATION OF FORECASTS EXPRESSED IN TERMS OF PROBABILITY

  1950cited by this paper

• Enhancing Quality of Care Assessments: Managing Atypical Patients in ICU Benchmarking in The Netherlands

  2025cites this paper
• Performance of Pediatric Risk of Mortality IV in Brazilian PICUs: A Multicenter Prospective Study

  2025cites this paper
• Severity of illness and organ dysfunction scoring systems in pediatric critical care: The impacts on clinician's practices and the future

  2022cites this paper
• Variation in severity-adjusted resource use and outcome in intensive care units

  2021cites this paper
• Severity of Illness and Predictive Models in Society of Critical Care Medicine’s First 50 Years: A Tale of Concord and Conflict

  2021cites this paper
• Benchmarking Inpatient Mortality Using Electronic Medical Record Data: A Retrospective, Multicenter Analytical Observational Study*

  2021cites this paper
• Cost analysis of critical patient care at a pediatric intensive care unit of a tertiary care public hospital in an urban metropolis of India

  2021cites this paper
• Critical Care Utilization and Outcomes of Interhospital Medical Transfers at Lower Risk of Death

  2021cites this paper
• Coronavirus Disease 2019 ICU Patients Have Higher-Than-Expected Acute Physiology and Chronic Health Evaluation–Adjusted Mortality and Length of Stay Than Viral Pneumonia ICU Patients

  2021cites this paper
• Characterizing the Patients, Hospitals, and Data Quality of the eICU Collaborative Research Database.

  2020cites this paper
• The Impact of Implementing an Intensivist Model With Nighttime In-Hospital Nocturnist and Effect on ICU Outcomes

  2020cites this paper
• APACHE II score validation in emergency abdominal surgery. A post hoc analysis of the InCare trial

  2020cites this paper
• Criticality: A New Concept of Severity of Illness for Hospitalized Children.

  2020cites this paper
• Severity Trajectories of Pediatric Inpatients Using the Criticality Index.

  2020cites this paper
• National registries: Lessons learnt from quality improvement initiatives in intensive care.

  2020cites this paper
• Severity-Adjusted ICU Mortality Only Tells Half the Truth-The Impact of Treatment Limitation in a Nationwide Database.

  2020cites this paper
• Performance and Analysis of Pediatric Index of Mortality 3 Score in a Pediatric ICU in Latifa Hospital, Dubai, UAE

  2019cites this paper
• Developing well-calibrated illness severity scores for decision support in the critically ill

  2019cites this paper
• Grenzen von Krankenhausrankings als Leistungsvergleiche

  2018cites this paper
• The significance of risk adjustment for the assessment of results in intensive care. : An analysis of risk adjustment models used in Swedish intensive care.

  2018cites this paper
• When reactivity fails: The limited effects of hospital rankings

  2018cites this paper
• Combining quick Sequential Organ Failure Assessment with plasma lactate concentration is comparable to standard Sequential Organ Failure Assessment score in predicting mortality of patients with and without suspected infection☆

  2017cites this paper
• Detecting organisational innovations leading to improved ICU outcomes: a protocol for a double-blinded national positive deviance study of critical care delivery

  2017cites this paper
• Les scores de gravité généraux et de dysfonctions d’organes en réanimation pédiatrique : quoi de neuf en 2016 ?

  2016cites this paper
• Using patient admission characteristics alone to predict mortality of critically ill patients : a comparison of three prognostic scores Short running title : ICU admission prognostic scores

  2016cites this paper
• Validation of the Pediatric Index of Mortality 3 in a Single Pediatric Intensive Care Unit in Korea

  2016cites this paper
• Using patient admission characteristics alone to predict mortality of critically ill patients: A comparison of 3 prognostic scores.

  2016cites this paper
• Standardised mortality ratio based on the sum of age and percentage total body surface area burned is an adequate quality indicator in burn care: An exploratory review.

  2016cites this paper
• Retrospective Descriptive Study of an Intensive Care Unit at a Ugandan Regional Referral Hospital

  2016cites this paper
• Comparing Time-Fixed Mortality Prediction Models and Their Effect on ICU Performance Metrics Using the Simplified Acute Physiology Score 3

  2016influential citation
• A Flock of Birds, a Cluster of ICUs.

  2016cites this paper
• The ANZROD model: better benchmarking of ICU outcomes and detection of outliers.

  2016cites this paper
• Prestación de cuidados críticos en Ecuador: características actuales y resultados clínicos

  2016cites this paper
• Evaluation of predictive effect of PAF-AH on the prognosis of intensive care unit patients / Yoğun bakım hastalarında PAF-AH’ın prognoz üzerindeki prediktif etkisinin değerlendirilmesi

  2016influential citation
• Variability in Risk-Adjusted Sepsis Mortality: How Much Is Too Much?

  2015cites this paper
• Updating and Improving Severity and Prognostic Measures: Improving Sequential Organ Failure Assessment.

  2015cites this paper
• The pitfalls of benchmarking ICUs*.

  2015influential citation
• Investigating associations between ICU level and quality of care in the Netherlands: reporting only SMRs is not the whole story

  2015cites this paper
• The "big" dilemma: ICU volume-outcome relationships.

  2015cites this paper
• Response to Girbes et al.: Investigating associations between ICU level and quality of care in the Netherlands: reporting only SMRs is not the whole story

  2015cites this paper
• Tackling the Challenges of Clinical Trials for Severe Traumatic Brain Injury in Children: Screening, Phenotyping, and Adapting.

  2015cites this paper
• Personalized Mortality Prediction Driven by Electronic Medical Data and a Patient Similarity Metric

  2015cites this paper