Evidence map›Paper›PMID 19430828›Full record

ReviewWorld journal of surgery2009

Appraising the quality of care in surgery.

Erik K Mayer, Andre Chow, Justin A Vale, Thanos Athanasiou

Abstract readReview
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In one paragraph

Review in World journal of surgery, 2009. 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. Article
  2. Article
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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

4 authors.

Erik K MayerDepartment of Biosurgery and Surgical Technology, Imperial College London, 10th Floor, QEQM Building, St Mary's Hospital Campus, Praed Street, London, W2 1NY, UK. e.mayer@imperial.ac.uk
Andre Chow
Justin A Vale
Thanos Athanasiou

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is currently no validated measurement system available for quality of care assessment in surgery despite all of the inherent benefits of such an approach. A structured quality framework needs to be developed and incorporate measures that are truly reflective of several important dimensions of care within the entire treatment episode. Presently this has been only partially addressed. These measures of quality can be categorized into clinical pathway measures (structure of care, process of care, outcome of care, and economic measures of care) and patient-reported measures (patient-reported treatment outcomes, health-related quality of life measures, and patient satisfaction). Combining these measures to create an overall composite quality score can be made feasible only if it is supported by the use of robust statistical methodology. It is important to use appropriate display of performance data to facilitate provider engagement in quality improvement initiatives. This article was designed to present such a structured approach of a quality framework, which is required to appraise the quality of care in surgery to enhance future quality improvement programmes.

Indexed as

Quality of Health CareBenchmarkingCritical PathwaysData Interpretation, StatisticalEfficiencyGeneral SurgeryHumansOutcome and Process Assessment, Health CarePatient SatisfactionQuality Assurance, Health CareQuality of Life

Identifiers

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.