Accepting critically ill transfer patients: adverse effect on a referral center's outcome and benchmark measures
- PMID: 12779298
- DOI: 10.7326/0003-4819-138-11-200306030-00009
Accepting critically ill transfer patients: adverse effect on a referral center's outcome and benchmark measures
Abstract
Background: Common methods of benchmarking clinical performance rarely, if ever, account for admission source and, in particular, the effect of a patient being transferred from one medical center to another. Small biases in comparisons of observed versus expected deaths can substantially affect how high-quality institutions compare with peer hospitals. With the most sophisticated and validated set of case-mix measures available for patients, the intensive care unit is an ideal setting in which to study the effect of a patient's being transferred from another hospital.
Objective: To determine the extent of bias in benchmarking outcomes when performance measures do not account for transfer patients' greater severity of illness.
Design: Prospectively developed cohort study.
Setting: Medical intensive care unit (MICU) at a tertiary care university hospital.
Patients: 4579 consecutive admissions for 4208 patients from 1 January 1994 to 1 April 1998.
Measurements: MICU and hospital lengths of stay, MICU readmission, and hospital mortality rates.
Results: Compared with directly admitted patients, MICU patients transferred from another hospital had significantly higher Acute Physiology Scores at the time of admission and discharge (P = 0.001). Even after full adjustment for case mix and severity of illness, transfer patients had a 38% longer MICU stay (95% CI, 32% to 45%), a 41% longer hospital stay (CI, 34% to 50%), and a 2.2 times greater odds of hospital mortality (CI, 1.7 to 2.8) than directly admitted patients. With identical efficiency and quality, a referral hospital with a 25% MICU transfer rate compared with another with a 0% transfer rate would be penalized by 14 excess deaths per 1000 admissions when a benchmarking program adjusts only for case mix and severity of illness and not for the source of admission.
Conclusions: In a setting with the most thorough diagnostic-based, case-mix adjustment and the most physiologically precise severity-of-illness information, accepting transfer patients can adversely affect efficiency and quality benchmarks. Benchmarking and profiling efforts beyond intensive care units must also recognize and account for this phenomenon; otherwise, referral centers may have an incentive to refuse care for patients who could benefit from being transferred to their facility.
Comment in
-
Organizational changes in a single intensive care unit affect benchmarking.Ann Intern Med. 2004 Apr 20;140(8):674-5. doi: 10.7326/0003-4819-140-8-200404200-00037. Ann Intern Med. 2004. PMID: 15096357 No abstract available.
Summary for patients in
-
Summaries for patients. Accepting critically ill transfer patients.Ann Intern Med. 2003 Jun 3;138(11):I42. doi: 10.7326/0003-4819-138-11-200306030-00003. Ann Intern Med. 2003. PMID: 12779311 No abstract available.
Similar articles
-
Adverse effect on a referral intensive care unit's performance of accepting patients transferred from another intensive care unit.Crit Care Med. 2005 Apr;33(4):705-10. doi: 10.1097/01.ccm.0000158518.32730.c5. Crit Care Med. 2005. PMID: 15818092
-
Summaries for patients. Accepting critically ill transfer patients.Ann Intern Med. 2003 Jun 3;138(11):I42. doi: 10.7326/0003-4819-138-11-200306030-00003. Ann Intern Med. 2003. PMID: 12779311 No abstract available.
-
Effect of interhospital transfer on resource utilization and outcomes at a tertiary care referral center.Crit Care Med. 2007 Jun;35(6):1470-6. doi: 10.1097/01.CCM.0000265741.16192.D9. Crit Care Med. 2007. PMID: 17440423
-
Severity scoring in the critically ill: part 2: maximizing value from outcome prediction scoring systems.Chest. 2012 Feb;141(2):518-527. doi: 10.1378/chest.11-0331. Chest. 2012. PMID: 22315120 Review.
-
Use of risk stratification indices to predict mortality in critically ill children.Eur J Pediatr. 2014 Jan;173(1):1-13. doi: 10.1007/s00431-013-1987-6. Epub 2013 Mar 23. Eur J Pediatr. 2014. PMID: 23525543 Review.
Cited by
-
Rural-Urban Differences in Mortality among Mechanically Ventilated Patients in Intensive and Intermediate Care.Ann Am Thorac Soc. 2024 May;21(5):774-781. doi: 10.1513/AnnalsATS.202308-684OC. Ann Am Thorac Soc. 2024. PMID: 38294224
-
High-risk diagnosis combinations in patients undergoing interhospital transfer: a retrospective observational study.BMC Emerg Med. 2022 Nov 24;22(1):187. doi: 10.1186/s12873-022-00742-1. BMC Emerg Med. 2022. PMID: 36418974 Free PMC article.
-
Higher cost of arthroplasty for hip fractures in patients transferred from outside hospitals vs primary emergency department presentation.World J Orthop. 2022 Aug 18;13(8):725-732. doi: 10.5312/wjo.v13.i8.725. eCollection 2022 Aug 18. World J Orthop. 2022. PMID: 36159622 Free PMC article.
-
Effectiveness of hospital transfer payments under a prospective payment system: An analysis of a policy change in New Zealand.Health Econ. 2022 Jul;31(7):1339-1346. doi: 10.1002/hec.4508. Epub 2022 Apr 5. Health Econ. 2022. PMID: 35384112 Free PMC article.
-
Interhospital Transfer and Outcomes in Patients with AKI: A Population-Based Cohort Study.Kidney360. 2020 Sep 17;1(11):1195-1205. doi: 10.34067/KID.0003612020. eCollection 2020 Nov 25. Kidney360. 2020. PMID: 35372873 Free PMC article.
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Miscellaneous