Evidence map›Paper›PMID 32309080›Full record

ArticlePlastic and reconstructive surgery. Global open2020

Quality Measures in Postmastectomy Breast Reconstruction: Identifying Metrics to Improve Care.

Jacob S Nasser, William H J Chung, Ryan A Gudal, Sandra V Kotsis, Adeyiza O Momoh, Kevin C Chung

Abstract read
In one paragraph

Article in Plastic and reconstructive surgery. Global open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Jacob S NasserGeorge Washington School of Medicine and Health Sciences, Washington, D.C.
William H J ChungSection of Plastic Surgery, Department of Surgery, University of Michigan Medical School, Ann Arbor, Mich.
Ryan A GudalSection of Plastic Surgery, Department of Surgery, University of Michigan Medical School, Ann Arbor, Mich.
Sandra V KotsisSection of Plastic Surgery, Department of Surgery, University of Michigan Medical School, Ann Arbor, Mich.
Adeyiza O MomohSection of Plastic Surgery, Department of Surgery, University of Michigan Medical School, Ann Arbor, Mich.
Kevin C ChungSection of Plastic Surgery, Department of Surgery, University of Michigan Medical School, Ann Arbor, Mich.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSpecific measures tailored to the properties of individual procedures will ensure the appropriate evaluation of quality. Because postmastectomy breast reconstruction (PMBR) is becoming increasingly common, a review of the literature is timely to identify potential breast reconstruction-specific measures that can be applied by institutions and national healthcare organizations to improve quality.

methodsWe searched PubMed and Embase for studies examining the quality of care for patients undergoing PMBR. Data extracted from the articles include basic study characteristics, the number of quality metrics, type of quality metric (defined by Donabedian model), and the domain of quality (defined by the National Academy of Medicine).

resultsA total of 2,158 articles were identified in the initial search, and 440 studies were included for data extraction. The most common type of quality measure was outcome measures (91%), and the least common measure was structure measures (1%). The most common metrics were operative time (41%), hospital type (28%), and aspects of the patient-provider interactions (20%). Additionally, we found that timeliness and equity were least common among the 6 National Academy of Medicine domains.

conclusionsWe identified metrics utilized in the PMBR, some of which can be further investigated through high-level evidence studies and incorporated into policy. Because many factors influence surgical outcomes and breast reconstruction is driven by patient preferences, an inclusion of structure, process, and outcome metrics will help improve care for this patient population. Moreover, nonpunitive initiatives, specifically quality collaboratives, may provide an avenue to improve care quality without compromising patient safety.

Identifiers

PMID32309080
PMCPMC7159953

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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.