Literature DB >> 27079058

NATIONAL INCIDENCE OF MEDICAL TRANSFER: PATIENT CHARACTERISTICS AND REGIONAL VARIATION.

Andrew P Reimer, Nicholas Schiltz, Siran M Koroukian, Elizabeth A Madigan.   

Abstract

The aim of this descriptive study was to establish and describe the national incidence, cost, and outcomes of patients that undergo medical transfer. Using discharge data from the Nationwide Inpatient Sample 2011, Healthcare Cost and Utilization Project, Agency for Healthcare Research and Quality, the dataset was analyzed using weighted frequency distribution. Approximately 1.6 million patients are transferred yearly. Transferred patients experience a mean length of stay of 9.3 days (std dv 13.5) versus 4.3 days for patients not transferred (std dv 6.0), and cost more than twice as much (mean $19,234) versus those not transferred (mean $9,469). Additionally, patients who undergo inter-facility transfer cost an additional $15.8 billion annually. Interhospital patient transfers require closer scrutiny regarding appropriateness and future policy implications.

Entities:  

Mesh:

Year:  2016        PMID: 27079058

Source DB:  PubMed          Journal:  J Health Hum Serv Adm        ISSN: 1079-3739


  8 in total

1.  Data quality assessment framework to assess electronic medical record data for use in research.

Authors:  Andrew P Reimer; Alex Milinovich; Elizabeth A Madigan
Journal:  Int J Med Inform       Date:  2016-03-24       Impact factor: 4.046

2.  Predictive accuracy of medical transport information for in-hospital mortality.

Authors:  Andrew P Reimer; Jarrod E Dalton
Journal:  J Crit Care       Date:  2017-11-15       Impact factor: 3.425

3.  Surgical Transfer Decision Making: How Regional Resources are Allocated in a Regional Transfer Network.

Authors:  Kristy Kummerow Broman; Michael J Ward; Benjamin K Poulose; Margaret L Schwarze
Journal:  Jt Comm J Qual Patient Saf       Date:  2017-12-01

4.  Effect of Transfer Status on Outcomes of Emergency General Surgery Patients.

Authors:  Jennifer L Philip; Dou-Yan Yang; Xing Wang; Sara Fernandes-Taylor; Bret M Hanlon; Jessica Schumacher; Megan C Saucke; Jeffrey Havlena; Heena P Santry; Angela M Ingraham
Journal:  Surgery       Date:  2020-05-23       Impact factor: 3.982

5.  Social Network Analysis of Patient Movement Across Health Care Entities in Orange County, Florida.

Authors:  Danielle A Rankin; Sarah D Matthews
Journal:  Public Health Rep       Date:  2020-06-08       Impact factor: 2.792

6.  Transfer Time After Acceptance to a Level I Trauma Center.

Authors:  Ena Nielsen; David L Skaggs; Liam R Harris; Lindsay M Andras
Journal:  J Am Acad Orthop Surg Glob Res Rev       Date:  2018-02-02

7.  Applying Supervised Machine Learning to Identify Which Patient Characteristics Identify the Highest Rates of Mortality Post-Interhospital Transfer.

Authors:  Andrew P Reimer; Nicholas K Schiltz; Vanessa P Ho; Elizabeth A Madigan; Siran M Koroukian
Journal:  Biomed Inform Insights       Date:  2019-03-18

8.  SafeNET: Initial development and validation of a real-time tool for predicting mortality risk at the time of hospital transfer to a higher level of care.

Authors:  Stefanie C Altieri Dunn; Johanna E Bellon; Andrew Bilderback; Jeffrey D Borrebach; Jacob C Hodges; Mary Kay Wisniewski; Matthew E Harinstein; Tamra E Minnier; Joel B Nelson; Daniel E Hall
Journal:  PLoS One       Date:  2021-02-08       Impact factor: 3.240

  8 in total

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