Evidence map›Paper›PMID 40134494›Full record

ArticleAnnals of surgery open : perspectives of surgical history, education, and clinical approaches2025

Landscape of Consensus-Based Entity-Endorsed Perioperative Quality Measures.

Alex H S Harris, Kristen Davis-Lopez, Eric Schmidt, Kenneth Nieser, Nader N Massarweh

Abstract read
In one paragraph

Article in Annals of surgery open : perspectives of surgical history, education, and clinical approaches, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Alex H S HarrisFrom the Veterans Affairs Health Services Research and Development Center for Innovation to Implementation, Palo Alto Veterans Affairs Health Care System, Palo Alto, CA.
Kristen Davis-LopezDepartment of Surgery, Stanford University, Palo Alto, CA.
Eric SchmidtFrom the Veterans Affairs Health Services Research and Development Center for Innovation to Implementation, Palo Alto Veterans Affairs Health Care System, Palo Alto, CA.
Kenneth NieserFrom the Veterans Affairs Health Services Research and Development Center for Innovation to Implementation, Palo Alto Veterans Affairs Health Care System, Palo Alto, CA.
Nader N MassarwehAtlanta VA Health Care System, Surgical and Perioperative Care, Decatur, GA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Healthcare quality measures have a central role in monitoring and incentivizing the quality of surgical care. Payors and other stakeholders rely on consensus-based entities (CBEs) for the rigorous, independent evaluation and endorsement of quality measures. The aim of this study is to catalog current CBE-endorsed, surgery-related quality measures and to assess measure characteristics, gaps, and redundancies to inform prioritization of measure development efforts. Methods: The National Quality Forum Quality Positioning System and Battelle Partnership for Quality Measurement were reviewed to identify CBE-endorsed quality measures related to perioperative care. Identified measures were characterized in terms of their type (eg, structure, process and outcome), quality domain (eg, effectiveness and efficiency), focus (eg, complications, cost and improvement in functioning), and perioperative specialty (eg, general surgery and anesthesia). Results: A total of 172 perioperative measures were identified, of which 79 were currently CBE-endorsed and 93 were previously endorsed. Among currently endorsed measures, 43 (54%) were clinical outcomes measures (eg, mortality and/or complications, readmissions), 8 (10%) were patient-reported outcomes measures, 20 (26%) were process measures, 4 (5%) were cost measures, and 4 (5%) were measures of structure. Measures specific to cardiothoracic (n = 40) and orthopedic (n = 11) surgery were the most common while 12 measures were relevant to multiple specialties. Conclusions: Despite the large number of surgery-related quality measures, most are concentrated on a small sample of quality domains for a few surgical specialties. Fewer measures are focused on patient-reported outcomes or experiences, low-value care (eg, unnecessary testing or imaging), healthcare structures, or processes that may lead to better outcomes.

Indexed as

health care quality measuresperformance measures

Identifiers

PMID40134494
PMCPMC11932580

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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.