Literature DB >> 23706559

Assessing clinical discharge data preferences among practicing surgeons.

Ira L Leeds1, Vjollca Sadiraj, James C Cox, Kurt E Schnier, John F Sweeney.   

Abstract

BACKGROUND: It is believed that many postoperative patient readmissions can be curbed via optimization of a patient's discharge from hospital, but little is known about how surgeons make the decision to discharge a patient. This study explored the criteria that surgeons preferentially value in their discharge decision-making process.
MATERIALS AND METHODS: All surgical faculty and residents at a U.S. academic medical center were surveyed about the relative importance of specific criteria regularly used to make a discharge decision. Demographic and professional information was collected about each surgeon as well. A Kruskal-Wallis and Fisher's exact test were used to describe one-way analysis of variance between groupings of surgeons. Ordered logit regressions were used to analyze variations across multiple subgroups. Factor analysis was used to further characterize statistically relevant groupings of criteria.
RESULTS: In total, 88 (49%) of the invited surgeons responded to the survey. Respondents reported statistically less reliance on common Laboratory tests and Patient demographics when making discharge decisions preferring Vital signs, Perioperative factors, and Functional criteria. Surgeon-specific factors that influenced discharge criteria preferences included years of clinical education and gender. Factor analysis further identified subtle variations in preferences for specific criteria groupings based on clinical education, gender, and race.
CONCLUSIONS: Surgeons use a wide range of clinical data when making discharge decisions. Typical measures of patient condition also appear to be used heterogeneously with a preference for binary rather than continuous measures. Further understanding the nature of these preferences may suggest novel ways of presenting discharge-relevant information to clinical decision makers to optimize discharge outcomes.
Copyright © 2013 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Clinical decision-making; Decision support; Discharge; Hospital readmission; Ordered logit regression; Surgical outcomes

Mesh:

Year:  2013        PMID: 23706559      PMCID: PMC3758431          DOI: 10.1016/j.jss.2013.03.064

Source DB:  PubMed          Journal:  J Surg Res        ISSN: 0022-4804            Impact factor:   2.192


  8 in total

1.  Risk factors for 30-day hospital readmission among general surgery patients.

Authors:  Michael T Kassin; Rachel M Owen; Sebastian D Perez; Ira Leeds; James C Cox; Kurt Schnier; Vjollca Sadiraj; John F Sweeney
Journal:  J Am Coll Surg       Date:  2012-06-21       Impact factor: 6.113

2.  Is surgical workforce diversity increasing?

Authors:  Dorothy A Andriole; Donna B Jeffe; Kenneth B Schechtman
Journal:  J Am Coll Surg       Date:  2007-03       Impact factor: 6.113

3.  Rehospitalizations among patients in the Medicare fee-for-service program.

Authors:  Stephen F Jencks; Mark V Williams; Eric A Coleman
Journal:  N Engl J Med       Date:  2009-04-02       Impact factor: 91.245

4.  Minding the gap between efforts to reduce readmissions and disparities.

Authors:  Adrian F Hernandez; Lesley H Curtis
Journal:  JAMA       Date:  2011-02-16       Impact factor: 56.272

5.  Hospital readmission as an accountability measure.

Authors:  R Neal Axon; Mark V Williams
Journal:  JAMA       Date:  2011-02-02       Impact factor: 56.272

6.  Lessons learned preparing for Medicare bundled payments.

Authors:  Robert Mechanic; Christopher Tompkins
Journal:  N Engl J Med       Date:  2012-11-15       Impact factor: 91.245

7.  Electronic health records and national patient-safety goals.

Authors:  Dean F Sittig; Hardeep Singh
Journal:  N Engl J Med       Date:  2012-11-08       Impact factor: 91.245

8.  PROTEMPA: a method for specifying and identifying temporal sequences in retrospective data for patient selection.

Authors:  Andrew R Post; James H Harrison
Journal:  J Am Med Inform Assoc       Date:  2007-06-28       Impact factor: 4.497

  8 in total
  3 in total

1.  Discharge decision-making after complex surgery: Surgeon behaviors compared to predictive modeling to reduce surgical readmissions.

Authors:  Ira L Leeds; Vjollca Sadiraj; James C Cox; Xiaoxue Sherry Gao; Timothy M Pawlik; Kurt E Schnier; John F Sweeney
Journal:  Am J Surg       Date:  2016-10-20       Impact factor: 2.565

2.  Higher Quality and Lower Cost from Improving Hospital Discharge Decision Making.

Authors:  James C Cox; Vjollca Sadiraj; Kurt E Schnier; John F Sweeney
Journal:  J Econ Behav Organ       Date:  2015-04-03

Review 3.  Outcomes of enhanced recovery after surgery in lung cancer: A systematic review and meta-analysis.

Authors:  Wenhui Zhang; Yuting Zhang; Yi Qin; Jiahai Shi
Journal:  Asia Pac J Oncol Nurs       Date:  2022-06-30
  3 in total

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