Skip to main content
Top
Published in: Journal of General Internal Medicine 4/2020

01-04-2020 | Original Research

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

Authors: Marc Heincelman, MD, Mulugeta Gebregziabher, PhD, Elizabeth Kirkland, MD, MSCR, Samuel O Schumann, MD, MSCR, Andrew Schreiner, MD, MSCR, Phillip Warr, MD, Jingwen Zhang, MS, Patrick D. Mauldin, PhD, William P. Moran, MD, MS, Don C. Rockey, MD

Published in: Journal of General Internal Medicine | Issue 4/2020

Login to get access

Abstract

Background

National administrative datasets have demonstrated increased risk-adjusted mortality among patients undergoing interhospital transfer (IHT) compared to patients admitted through the emergency department (ED).

Objective

To investigate the impact of patient-level data not available in larger administrative datasets on the association between IHT status and in-hospital mortality.

Design

Retrospective cohort study with logistic regression analyses to examine the association between IHT status and in-hospital mortality, controlling for covariates that were potential confounders. Model 1: IHT status, admit service. Model 2: model 1 and patient demographics. Model 3: model 2 and disease-specific conditions. Model 4: model 3 and vital signs and laboratory data.

Participants

Nine thousand three hundred twenty-eight adults admitted to Medicine services.

Main Measures

Interhospital transfer status, coded as an unordered categorical variable (IHT vs ED vs clinic), was the independent variable. The primary outcome was in-hospital mortality. Secondary outcomes included unadjusted length of stay and total cost.

Key Results

IHT patients accounted for 180 out of 484 (37%) in-hospital deaths, despite accounting for only 17% of total admissions. Unadjusted mean length of stay was 8.4 days vs 5.6 days (p < 0.0001) and mean total cost was $22,647 vs $12,968 (p < 0.0001) for patients admitted via IHT vs ED respectively. The odds ratios (OR) for in-hospital mortality for patients admitted via IHT compared to the ED were as follows: model 1 OR, 2.06 (95% CI 1.66–2.56, p < 0.0001); model 2 OR, 2.07 (95% CI 1.66–2.58, p < 0.0001); model 3 OR, 2.07 (95% CI 1.63–2.61, p < 0.0001); model 4 OR, 1.70 (95% CI 1.31–2.19, p < 0.0001). The AUCs of the models were as follows: model 1, 0.74; model 2, 0.76; model 3, 0.83; model 4, 0.88, consistent with a good prediction model.

Conclusions

Patient-level characteristics affect the association between IHT and in-hospital mortality. After adjusting for patient-level clinical characteristics, IHT status remains associated with in-hospital mortality.
Appendix
Available only for authorised users
Literature
1.
go back to reference Mueller SK, Zheng J, Orav EJ, Schnipper JL. Rates, Predictors and Variability of Interhospital Transfers: A National Evaluation. J Hosp Med. 2017;12(6):435–442.CrossRef Mueller SK, Zheng J, Orav EJ, Schnipper JL. Rates, Predictors and Variability of Interhospital Transfers: A National Evaluation. J Hosp Med. 2017;12(6):435–442.CrossRef
2.
go back to reference Usher M, Sahni N, Herrigel D, et al. Diagnostic Discordance, Health Information Exchange, and Inter-Hospital Transfer Outcomes: a Population Study. J Gen Intern Med. 2018;33(9):1447–1453.CrossRef Usher M, Sahni N, Herrigel D, et al. Diagnostic Discordance, Health Information Exchange, and Inter-Hospital Transfer Outcomes: a Population Study. J Gen Intern Med. 2018;33(9):1447–1453.CrossRef
3.
go back to reference Sokol-Hessner L, White AA, Davis KF, Herzig SJ, Hohmann SF. Interhospital transfer patients discharged by academic hospitalists and general internists: Characteristics and outcomes. J Hosp Med. 2016;11(4):245–250.CrossRef Sokol-Hessner L, White AA, Davis KF, Herzig SJ, Hohmann SF. Interhospital transfer patients discharged by academic hospitalists and general internists: Characteristics and outcomes. J Hosp Med. 2016;11(4):245–250.CrossRef
4.
go back to reference Hernandez-Boussard T, Davies S, McDonald K, Wang NE. Interhospital Facility Transfers in the United States: A Nationwide Outcomes Study. J Patient Saf. 2017;13(4):187–191.CrossRef Hernandez-Boussard T, Davies S, McDonald K, Wang NE. Interhospital Facility Transfers in the United States: A Nationwide Outcomes Study. J Patient Saf. 2017;13(4):187–191.CrossRef
5.
go back to reference Durairaj L, Will JG, Torner JC, Doebbeling BN. Prognostic factors for mortality following interhospital transfers to the medical intensive care unit of a tertiary referral center. Crit Care Med. 2003;31(7):1981–1986.CrossRef Durairaj L, Will JG, Torner JC, Doebbeling BN. Prognostic factors for mortality following interhospital transfers to the medical intensive care unit of a tertiary referral center. Crit Care Med. 2003;31(7):1981–1986.CrossRef
6.
go back to reference Golestanian E, Scruggs JE, Gangnon RE, Mak RP, Wood KE. Effect of interhospital transfer on resource utilization and outcomes at a tertiary care referral center. Crit Care Med. 2007;35(6):1470–1476.CrossRef Golestanian E, Scruggs JE, Gangnon RE, Mak RP, Wood KE. Effect of interhospital transfer on resource utilization and outcomes at a tertiary care referral center. Crit Care Med. 2007;35(6):1470–1476.CrossRef
7.
go back to reference Mueller S, Zheng J, Orav EJ, Schnipper JL. Inter-hospital transfer and patient outcomes: a retrospective cohort study. BMJ Quality & Safety. 2018:bmjqs-2018-008087. Mueller S, Zheng J, Orav EJ, Schnipper JL. Inter-hospital transfer and patient outcomes: a retrospective cohort study. BMJ Quality & Safety. 2018:bmjqs-2018-008087.
8.
go back to reference Memtsoudis SG. Limitations associated with the analysis of data from administrative databases. Anesthesiology. 2009;111(2):449; author reply 450-441.CrossRef Memtsoudis SG. Limitations associated with the analysis of data from administrative databases. Anesthesiology. 2009;111(2):449; author reply 450-441.CrossRef
9.
go back to reference Hashimoto RE, Brodt ED, Skelly AC, Dettori JR. Administrative database studies: goldmine or goose chase? Evidence-based spine-care journal. 2014;5(2):74–76.CrossRef Hashimoto RE, Brodt ED, Skelly AC, Dettori JR. Administrative database studies: goldmine or goose chase? Evidence-based spine-care journal. 2014;5(2):74–76.CrossRef
10.
go back to reference Gordon HS, Rosenthal GE. Impact of interhospital transfers on outcomes in an academic medical center. Implications for profiling hospital quality. Med Care. 1996;34(4):295–309.CrossRef Gordon HS, Rosenthal GE. Impact of interhospital transfers on outcomes in an academic medical center. Implications for profiling hospital quality. Med Care. 1996;34(4):295–309.CrossRef
11.
go back to reference Bernard AM, Hayward RA, Rosevear J, Chun H, McMahon LF. Comparing the hospitalizations of transfer and non-transfer patients in an academic medical center. Acad Med. 1996;71(3):262–266.CrossRef Bernard AM, Hayward RA, Rosevear J, Chun H, McMahon LF. Comparing the hospitalizations of transfer and non-transfer patients in an academic medical center. Acad Med. 1996;71(3):262–266.CrossRef
12.
go back to reference Yanamadala S, Morrison D, Curtin C, McDonald K, Hernandez-Boussard T. Electronic Health Records and Quality of Care: An Observational Study Modeling Impact on Mortality, Readmissions, and Complications. Medicine. 2016;95(19):e3332-e3332.CrossRef Yanamadala S, Morrison D, Curtin C, McDonald K, Hernandez-Boussard T. Electronic Health Records and Quality of Care: An Observational Study Modeling Impact on Mortality, Readmissions, and Complications. Medicine. 2016;95(19):e3332-e3332.CrossRef
13.
go back to reference Sehgal NL, Wachter RM. The expanding role of hospitalists in the United States. Swiss Med Wkly. 2006;136(37–38):591–596.PubMed Sehgal NL, Wachter RM. The expanding role of hospitalists in the United States. Swiss Med Wkly. 2006;136(37–38):591–596.PubMed
14.
go back to reference Stevens JP, Nyweide DJ, Maresh S, Hatfield LA, Howell MD, Landon BE. Comparison of hospital resource use and outcomes among hospitalists, primary care physicians, and other generalists. JAMA Internal Medicine. 2017;177(12):1781–1787.CrossRef Stevens JP, Nyweide DJ, Maresh S, Hatfield LA, Howell MD, Landon BE. Comparison of hospital resource use and outcomes among hospitalists, primary care physicians, and other generalists. JAMA Internal Medicine. 2017;177(12):1781–1787.CrossRef
15.
go back to reference Beitler JR, Link N, Bails DB, Hurdle K, Chong DH. Reduction in hospital-wide mortality after implementation of a rapid response team: a long-term cohort study. Critical care (London, England). 2011;15(6):R269-R269.CrossRef Beitler JR, Link N, Bails DB, Hurdle K, Chong DH. Reduction in hospital-wide mortality after implementation of a rapid response team: a long-term cohort study. Critical care (London, England). 2011;15(6):R269-R269.CrossRef
16.
go back to reference Heincelman M, Schumann SO, Riley J, et al. Identification of High Utilization Inpatients on Internal Medicine Services. Am J Med Sci. 2016;352(1):63–70.CrossRef Heincelman M, Schumann SO, Riley J, et al. Identification of High Utilization Inpatients on Internal Medicine Services. Am J Med Sci. 2016;352(1):63–70.CrossRef
18.
go back to reference Quan H, Sundararajan V, Halfon P, et al. Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data. Med Care. 2005;43(11):1130–1139.CrossRef Quan H, Sundararajan V, Halfon P, et al. Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data. Med Care. 2005;43(11):1130–1139.CrossRef
19.
go back to reference Sterne JAC, White IR, Carlin JB, et al. Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls. BMJ. 2009;338:b2393.CrossRef Sterne JAC, White IR, Carlin JB, et al. Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls. BMJ. 2009;338:b2393.CrossRef
20.
go back to reference Hanmer J, Lu X, Rosenthal GE, Cram P. Insurance status and the transfer of hospitalized patients: an observational study. Ann Intern Med. 2014;160(2):81–90.CrossRef Hanmer J, Lu X, Rosenthal GE, Cram P. Insurance status and the transfer of hospitalized patients: an observational study. Ann Intern Med. 2014;160(2):81–90.CrossRef
21.
go back to reference Singh JM, MacDonald RD. Pro/con debate: do the benefits of regionalized critical care delivery outweigh the risks of interfacility patient transport? Critical care (London, England). 2009;13(4):219–219.CrossRef Singh JM, MacDonald RD. Pro/con debate: do the benefits of regionalized critical care delivery outweigh the risks of interfacility patient transport? Critical care (London, England). 2009;13(4):219–219.CrossRef
22.
go back to reference Ehrmann DE. Overwhelmed and uninspired by lack of coordinated care: a call to action for new physicians. Acad Med. 2013;88(11):1600–1602.CrossRef Ehrmann DE. Overwhelmed and uninspired by lack of coordinated care: a call to action for new physicians. Acad Med. 2013;88(11):1600–1602.CrossRef
23.
go back to reference Iwashyna TJ. The incomplete infrastructure for interhospital patient transfer. Crit Care Med. 2012;40(8):2470–2478.CrossRef Iwashyna TJ. The incomplete infrastructure for interhospital patient transfer. Crit Care Med. 2012;40(8):2470–2478.CrossRef
24.
go back to reference Herrigel DJ, Carroll M, Fanning C, Steinberg MB, Parikh A, Usher M. Interhospital transfer handoff practices among US tertiary care centers: A descriptive survey. J Hosp Med. 2016;11(6):413–417.CrossRef Herrigel DJ, Carroll M, Fanning C, Steinberg MB, Parikh A, Usher M. Interhospital transfer handoff practices among US tertiary care centers: A descriptive survey. J Hosp Med. 2016;11(6):413–417.CrossRef
25.
go back to reference Wagner J, Iwashyna TJ, Kahn JM. Reasons underlying interhospital transfers to an academic medical intensive care unit. J Crit Care. 2013;28(2):202–208.CrossRef Wagner J, Iwashyna TJ, Kahn JM. Reasons underlying interhospital transfers to an academic medical intensive care unit. J Crit Care. 2013;28(2):202–208.CrossRef
26.
go back to reference Bosk EA, Veinot T, Iwashyna TJ. Which patients and where: a qualitative study of patient transfers from community hospitals. Med Care. 2011;49(6):592–598.CrossRef Bosk EA, Veinot T, Iwashyna TJ. Which patients and where: a qualitative study of patient transfers from community hospitals. Med Care. 2011;49(6):592–598.CrossRef
27.
go back to reference Mueller SK, Fiskio J, Schnipper J. Interhospital Transfer: Transfer Processes and Patient Outcomes. Journal of hospital medicine. 2019;14:E1-E6.CrossRef Mueller SK, Fiskio J, Schnipper J. Interhospital Transfer: Transfer Processes and Patient Outcomes. Journal of hospital medicine. 2019;14:E1-E6.CrossRef
Metadata
Title
Impact of Patient-Level Characteristics on In-hospital Mortality After Interhospital Transfer to Medicine Services: an Observational Study
Authors
Marc Heincelman, MD
Mulugeta Gebregziabher, PhD
Elizabeth Kirkland, MD, MSCR
Samuel O Schumann, MD, MSCR
Andrew Schreiner, MD, MSCR
Phillip Warr, MD
Jingwen Zhang, MS
Patrick D. Mauldin, PhD
William P. Moran, MD, MS
Don C. Rockey, MD
Publication date
01-04-2020
Publisher
Springer International Publishing
Published in
Journal of General Internal Medicine / Issue 4/2020
Print ISSN: 0884-8734
Electronic ISSN: 1525-1497
DOI
https://doi.org/10.1007/s11606-020-05659-8

Other articles of this Issue 4/2020

Journal of General Internal Medicine 4/2020 Go to the issue
Live Webinar | 27-06-2024 | 18:00 (CEST)

Keynote webinar | Spotlight on medication adherence

Live: Thursday 27th June 2024, 18:00-19:30 (CEST)

WHO estimates that half of all patients worldwide are non-adherent to their prescribed medication. The consequences of poor adherence can be catastrophic, on both the individual and population level.

Join our expert panel to discover why you need to understand the drivers of non-adherence in your patients, and how you can optimize medication adherence in your clinics to drastically improve patient outcomes.

Prof. Kevin Dolgin
Prof. Florian Limbourg
Prof. Anoop Chauhan
Developed by: Springer Medicine
Obesity Clinical Trial Summary

At a glance: The STEP trials

A round-up of the STEP phase 3 clinical trials evaluating semaglutide for weight loss in people with overweight or obesity.

Developed by: Springer Medicine

Highlights from the ACC 2024 Congress

Year in Review: Pediatric cardiology

Watch Dr. Anne Marie Valente present the last year's highlights in pediatric and congenital heart disease in the official ACC.24 Year in Review session.

Year in Review: Pulmonary vascular disease

The last year's highlights in pulmonary vascular disease are presented by Dr. Jane Leopold in this official video from ACC.24.

Year in Review: Valvular heart disease

Watch Prof. William Zoghbi present the last year's highlights in valvular heart disease from the official ACC.24 Year in Review session.

Year in Review: Heart failure and cardiomyopathies

Watch this official video from ACC.24. Dr. Biykem Bozkurt discusses last year's major advances in heart failure and cardiomyopathies.