The Effect of Intensive Care Unit Admission Patterns on Mortality-based Critical Care Performance Measures

被引:5
|
作者
Barbash, Ian J. [1 ,2 ]
Le, Tri Q. [2 ,4 ]
Pike, Francis [2 ]
Barnato, Amber E. [2 ,3 ,4 ]
Angus, Derek C. [2 ,4 ]
Kahn, Jeremy M. [1 ,2 ,4 ]
机构
[1] Univ Pittsburgh, Sch Med, Div Pulm Allergy & Crit Care Med, Pittsburgh, PA USA
[2] Univ Pittsburgh, CRISMA Ctr, Sch Med, Dept Crit Care Med, Pittsburgh, PA USA
[3] Univ Pittsburgh, Sch Med, Div Gen Internal Med, Pittsburgh, PA USA
[4] Univ Pittsburgh, Grad Sch Publ Hlth, Dept Hlth Policy & Management, Pittsburgh, PA USA
基金
美国国家卫生研究院;
关键词
critical care; health services; health care quality assessment; intensive care; patient outcome assessment; COMPOSITE MEASURES; ACUTE PHYSIOLOGY; RISK ADJUSTMENT; QUALITY; HOSPITALS; MODEL; RATES; SURVIVAL; OUTCOMES; TEAMS;
D O I
10.1513/AnnalsATS.201509-645OC
中图分类号
R56 [呼吸系及胸部疾病];
学科分类号
摘要
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. Methods: Using a state wide, all-payer dataset from the Pennsylvania Healthcare Cost Containment Council, we analyzed discharge data for patients with nine clinical conditions with frequent ICU use. Using a validated severity-of-illness measure, we categorized hospitalized patients as either high severity (predicted probability of in-hospital death in top quartile) or low severity (all others). We then created three mutually exclusive groups: high-severity ICU admissions, low-severity ICU admissions, and high-severityward patients. We used hierarchical logistic regression to generate hospital-specific 30-day risk standardized mortality rates for each group and then compared hospital performance across groups using Spearman's rank correlation. Measurements and Main Results: We analyzed 87 hospitals with 22,734 low-severity ICU admissions (mean per hospital, 261 +/- 187), 10,991 high-severity ICU admissions (mean per hospital, 126 +/- 105), and 6,636 high-severity ward patients (mean per hospital, 76 +/- 48). We found little correlation between hospital performance for high-severity ICU patients versus low-severity ICU patients (r = 0.15; P = 0.17). There were 29 hospitals (33%) that moved up or down at least two quartiles of performance across the ICU groups. There was weak correlation between hospital performance for high severity ICU patients versus high-severity ward patients (r = 0.25; P = 0.02). There were 24 hospitals (28%) that moved up or down at least two quartiles of performance across the high-severity groups. Conclusions: Hospitals that perform well in caring for highseverity ICU patients do not necessarily also perform well in caring for low-severity ICU patients or high-severity ward patients, indicating that risk-standardized mortality rates for ICU admissions as a whole offer only a narrow window on a hospital's overall performance for critically ill patients.
引用
收藏
页码:877 / 886
页数:10
相关论文
共 50 条
  • [1] Optimizing Palliative Care Consultation in the Intensive Care Unit: Beyond Mortality-Based Triggers
    Secunda, K. E.
    Savage, M.
    Krolikowski, K.
    Kruser, J. M.
    [J]. AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 2020, 201
  • [2] Mortality and Denial of Admission to an Intensive Care Unit
    Checkley, William
    [J]. AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 2012, 185 (10) : 1038 - 1040
  • [3] ADMISSION PATTERNS AND CAUSES OF MORTALITY IN A MULTIDISCIPLINARY UNIT FOR PEDIATRIC INTENSIVE-CARE
    GAUTHIER, M
    LACROIX, J
    ROUSSEAU, E
    [J]. CANADIAN ANAESTHETISTS SOCIETY JOURNAL, 1986, 33 (01) : 89 - 93
  • [4] Admission source and mortality in a pediatric intensive care unit
    dos Santos El Halal, Michel Georges
    Barbieri, Evandro
    Mombelli Filho, Ricardo
    Trotta, Eliana de Andrade
    Antonacci Carvalho, Paulo Roberto
    [J]. INDIAN JOURNAL OF CRITICAL CARE MEDICINE, 2012, 16 (02) : 81 - 86
  • [5] INTENSIVE CARE UNIT ADMISSION AND MORTALITY IN MULTIPLE SCLEROSIS
    Perez, Jose Diaz
    Fernandez, Ignacio Fuentes
    Clares, Rocio Hernandez
    Guarnizo, Ester Carreon
    Molina, Estefania Garcia
    Rubio, Ruben Jara
    Laliana, Jose Meca
    [J]. NEUROLOGY, 2017, 88
  • [6] Admission Source and Mortality in a Pediatric Intensive Care Unit
    Khurshid, Asim
    Khosa, Ghazi
    Rubab, Sara
    [J]. PAKISTAN JOURNAL OF MEDICAL & HEALTH SCIENCES, 2015, 9 (01): : 250 - 252
  • [7] Deferred Admission to the Intensive Care Unit Rationing Critical Care or Expediting Care Transitions?
    Wagner, Jason
    Halpern, Scott D.
    [J]. ARCHIVES OF INTERNAL MEDICINE, 2012, 172 (06) : 474 - 476
  • [8] An examination of cardiovascular intensive care unit mortality based on admission day and time
    Langston, Matthew C.
    Subedi, Keshab
    Fabrizio, Carly
    Wimmer, Neil J.
    Choudhry, Usman, I
    Urrutia, Luis E.
    [J]. HEART & LUNG, 2021, 50 (05): : 579 - 586
  • [9] Impact of Gender on Mortality Following Intensive Care Unit Admission
    Lewis, K.
    Saunders, H.
    Helgeson, S. A.
    [J]. AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 2023, 207
  • [10] Effect on the time of admission to the Intensive Care Unit of the start-up of an Critical Care Outreach Team
    Chicote-alvarez, E.
    Mainar-Gil, I.
    Diego, A. iniguez-de
    Gomez-Camino, S.
    Corta-Iriarte, L.
    Martinez-Camarero, L.
    Monfort-Lazaro, E.
    Cuesta-Lopez, M. Ruizdela
    Calvo-Martinez, L. a. Vilella-LlopyA.
    [J]. JOURNAL OF HEALTHCARE QUALITY RESEARCH, 2024, 39 (01) : 50 - 54