Evidence map›Paper›PMID 31011825›Full record

ReviewJournal of medical systems2019

OR Management and Metrics: How It All Fits Together for the Healthcare System.

Steven D Boggs, Derek W Tan, Caleb L Watkins, Mitchell H Tsai

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of medical systems, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
–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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Observational
  8. Article
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

4 authors.

Steven D BoggsDepartment of Anesthesiology, University of Tennessee Medical Center, Memphis, TN, USA.
Derek W TanUniversity of Vermont Larner College of Medicine, Burlington, VT, USA. derek.tan@med.uvm.edu.ORCID http://orcid.org/0000-0002-0590-870X
Caleb L WatkinsUniversity of Vermont Larner College of Medicine, Burlington, VT, USA.
Mitchell H TsaiDepartment of Anesthesiology, University of Vermont Larner College of Medicine, Burlington, VT, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Increased healthcare costs and diminishing returns have prompted healthcare administrators to address budget allocations to alleviate institutional costs. Current economic constraints, such as limited Medicaid and Medicare insurance payments, limit our patients' ability to receive urgent surgical interventions as well as access preventative diagnostic tools. Rather than downsizing the workforce, future sustainability must be derived upon effective cost structures supported by improved quality control measures and increased patient accessibility. Surgeries were performed during 29% of hospitalizations and comprised 48% of the $387 billion in healthcare expenditures in 2011. Further, surgical procedures managed to account for 40-70% of hospital revenues. Effective cost reduction begins at the source and in the case of hospital systems, the operating room (OR). Taking this into consideration, administrators evaluating future revenue streams should look to consider OR-based cost reduction measures as part of their first step approach. Improving OR efficiency through block time and staff optimization remain the premise of today's existing literature on OR management strategies.

Indexed as

Efficiency, OrganizationalAppointments and SchedulesCost-Benefit AnalysisHumansOperating RoomsPersonnel Staffing and SchedulingQuality ImprovementUnited StatesAdministrationBlock timeCost analysisInvestmentMedicareOperating room efficiencyOperating room managementReimbursementReturnSchedulingStaff optimizationSustainability

Identifiers

PMID31011825

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.