Literature DB >> 8606555

Impact of interhospital transfers on outcomes in an academic medical center. Implications for profiling hospital quality.

H S Gordon1, G E Rosenthal.   

Abstract

The purpose of this article is to determine whether a widely implement ed method of severity adjustment underestimated the risk of death and other outcomes among interhospital transfers (ie, patients transferred from other acute care hospitals) and to examine the impact of this potential bias on hospital outcomes profiles. The retrospective cohort study was conducted at a midwestern academic medical center with 40,820 adult medical and surgical patients from 1988 to 1991, of whom 38,946 were direct admissions and 1,874 were interhospital transfers. Hospital mortality, length of stay, and total charges in interhospital transfers and direct admissions were compared using multivariable regression methods that adjusted for admission severity of illness and other potential covariates (age, type of health insurance, diagnosis, emergent admission). Severity of illness was measured using the Medis-Groups methodology. Admission severity of illness was directly related (P<0.001) to rates of in-hospital death, length of stay, and charges, and was higher among interhospital transfers; 49% of transfers had moderate to high severity, compared with 35% of direct admissions (P<0.001) However, in a logistic regression model adjusting for severity and other covariates, the risk of in-hospital death was nearly two times (multivariable odds ratio, 1.99; 95% confidence interval [CI], 1.64-2.42) higher in transfers than in direct admissions. In linear regression models, length of stay and charges were 1.47 (95% CI, 1.42-1.53) and 1.40 (95% CI, 1.35-1.44) times higher, respectively, in transfers. Results were consistent in medical and surgical admissions, when examined separately, and among individual diagnostic categories. Based on their findings, the authors estimate that, independent of quality of care, severity adjusted mortality and length of stay would appear 17% and 8% higher, respectively, for hospitals in which 20% of patients were interhospital transfers than for hospitals in which 2% of patients were transfers. In an academic medical center, interhospital transfers had poorer severity adjusted outcomes than patients admitted directly. Failure to account for transfer status may produce biased performance profiles and, therefore, may create disincentives for hospitals to accept transfers from other acute care facilities.

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Mesh:

Year:  1996        PMID: 8606555     DOI: 10.1097/00005650-199604000-00002

Source DB:  PubMed          Journal:  Med Care        ISSN: 0025-7079            Impact factor:   2.983


  20 in total

1.  Venous Thromboembolism Rates in Transferred Patients: A Cross-Sectional Study.

Authors:  Samuel Lai; Eric Ton; Marianne Lovejoy; William Graham; Alpesh Amin
Journal:  J Gen Intern Med       Date:  2017-09-15       Impact factor: 5.128

2.  Revisiting the effect of referral bias on the clinical spectrum of infective endocarditis in adults.

Authors:  Z A Kanafani; S S Kanj; C H Cabell; E Cecchi; A de Oliveira Ramos; T Lejko-Zupanc; P A Pappas; H Giamerellou; D Gordon; C Michelet; P Muñoz; O Pachirat; G Peterson; R-S Tan; P Tattevin; V Thomas; A Wang; F Wiesbauer; D J Sexton
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2010-06-13       Impact factor: 3.267

3.  Acuity, outcomes, and trends in the transfer of surgical patients: a national study.

Authors:  Ciara R Huntington; Tiffany C Cox; Laurel J Blair; Tanushree Prasad; Amy E Lincourt; Brent D Matthews; B Todd Heniford; Vedra A Augenstein
Journal:  Surg Endosc       Date:  2015-07-03       Impact factor: 4.584

4.  Comparisons of the surgical outcomes and medical costs between transferred and directly admitted patients diagnosed with intestinal obstruction in an American tertiary referral center.

Authors:  Xian Hua Gao; Hanumant Chouhan; Emre Gorgun; Luca Stocchi; Gokhan Ozuner
Journal:  Int J Colorectal Dis       Date:  2018-04-20       Impact factor: 2.571

5.  Impact of transfer status on real-world outcomes in nonelective cardiac surgery.

Authors:  Jared P Beller; Robert B Hawkins; J Hunter Mehaffey; William Z Chancellor; Clifford E Fonner; Alan M Speir; Mohammed A Quader; Jeffrey B Rich; Leora T Yarboro; Nicholas R Teman; Gorav Ailawadi
Journal:  J Thorac Cardiovasc Surg       Date:  2019-02-11       Impact factor: 5.209

6.  Race and patient refusal of invasive cardiac procedures.

Authors:  Howard S Gordon; Debora A Paterniti; Nelda P Wray
Journal:  J Gen Intern Med       Date:  2004-09       Impact factor: 5.128

7.  The effect of transfer and hospital volume in subarachnoid hemorrhage patients.

Authors:  Miriam Nuño; Chirag G Patil; Patrick Lyden; Doniel Drazin
Journal:  Neurocrit Care       Date:  2012-12       Impact factor: 3.210

8.  Racial and Insurance Status Disparities in Patient Safety Indicators among Hospitalized Patients.

Authors:  Jay J Shen; Christopher R Cochran; Olena Mazurenko; Charles B Moseley; Guogen Shan; Robin Mukalian; Scott Neishi
Journal:  Ethn Dis       Date:  2016-07-21       Impact factor: 1.847

9.  Impact of Patient-Level Characteristics on In-hospital Mortality After Interhospital Transfer to Medicine Services: an Observational Study.

Authors:  Marc Heincelman; Mulugeta Gebregziabher; Elizabeth Kirkland; Samuel O Schumann; Andrew Schreiner; Phillip Warr; Jingwen Zhang; Patrick D Mauldin; William P Moran; Don C Rockey
Journal:  J Gen Intern Med       Date:  2020-01-21       Impact factor: 5.128

10.  Improving the transition of care in patients transferred through the ochsner medical center transfer center.

Authors:  Ronald G Amedee; Genevieve F Maronge; William W Pinsky
Journal:  Ochsner J       Date:  2012
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