Evidence map›Paper›PMID 23706559›Full record

ArticleThe Journal of surgical research2013

Assessing clinical discharge data preferences among practicing surgeons.

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

Abstract read
In one paragraph

Article in The Journal of surgical research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Ira L LeedsDivision of General and GI Surgery, Department of Surgery, Emory University School of Medicine, Atlanta, Georgia 30322, USA.
Vjollca Sadiraj
James C Cox
Kurt E Schnier
John F Sweeney

Funding

Uptake of Comparative Effectiveness Research: Implications for Discharge DecisionRC4AG039071 · NIA · EMORY UNIVERSITY · PI COX, JAMES CONNOR, SWEENEY, JOHN F · 2010 to 2010
$1.2M
NIA NIH HHS 1RC4AG039071NIA NIH HHS RC4 AG039071
6 · The paper itself

Abstract

backgroundIt 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

methodsAll 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.

resultsIn 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.

conclusionsSurgeons 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.

Indexed as

Decision MakingGeneral SurgeryHealth Care SurveysAcademic Medical CentersAdultAttitude of Health PersonnelDecision Support TechniquesFemaleHumansLogistic ModelsMaleMedical Staff, HospitalPatient DischargePatient ReadmissionPhysiciansRisk FactorsClinical decision-makingDecision supportDischargeHospital readmissionOrdered logit regressionSurgical outcomes

Identifiers

PMID23706559
PMCPMC3758431

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.