2016
DOI: 10.1513/annalsats.201509-645oc
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The Effect of Intensive Care Unit Admission Patterns on Mortality-based Critical Care Performance Measures

Abstract: Rationale: Current mortality-based critical care performance measurement focuses on intensive care unit (ICU) admissions as a single group, conflating low-severity and high-severity ICU patients for whom performance may differ and neglecting severely ill patients treated solely on hospital wards.Objectives: To assess the relationship between hospital performance as measured by risk-standardized mortality for severely ill ICU patients, less severely ill ICU patients, and severely ill patients outside the ICU.Me… Show more

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Cited by 8 publications
(7 citation statements)
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“…In a Critical Care Medicine context, in three academic hospitals in Pennsylvania including subspecialty and mixed ICUs, P4P has been shown to increase exclusions based on eligibility yet to have no effect on mortality and adjacent outcomes [19]. However, quality of care may vary depending on patient risk and condition severity, and this is not always taken into account when measuring ICU-based patient outcomes [20]. It is consequently a possibility that some subpopulations may benefit from P4P more than others.…”
Section: Main Textmentioning
confidence: 99%
“…In a Critical Care Medicine context, in three academic hospitals in Pennsylvania including subspecialty and mixed ICUs, P4P has been shown to increase exclusions based on eligibility yet to have no effect on mortality and adjacent outcomes [19]. However, quality of care may vary depending on patient risk and condition severity, and this is not always taken into account when measuring ICU-based patient outcomes [20]. It is consequently a possibility that some subpopulations may benefit from P4P more than others.…”
Section: Main Textmentioning
confidence: 99%
“…Challenges with data quality were described at point of data capture and extraction [29, 30, 32, 35, 38-40, 42, 46, 51, 54, 64, 72]. Ability to accurately measure processes of care associated with the indicator (e.g., time of antibiotic administration in the context of recognition of infection/ prescription of antibiotics) hindered utilisation of the indicator in care evaluations [33,46,53,57,58,66,67,70,71,73].…”
Section: Operationalmentioning
confidence: 99%
“…Challenges with data quality were described at point of data capture and extraction [30,33,34,40,63,84,87,90,101,108,118,120,143]. Ability to accurately measure processes of care associated with the indicator (e.g., time of antibiotic administration in the context of recognition of infection/ prescription of antibiotics) hindered utilization of the indicator in care evaluations [32,46,50,51,58,98,103,120,144,145].…”
Section: Operationalmentioning
confidence: 99%