Evidence map›Paper›PMID 26951277›Full record

ArticleJournal of general internal medicine2016

Developing and Testing an Electronic Measure of Screening Colonoscopy Overuse in a Large Integrated Healthcare System.

Sameer D Saini, Adam A Powell, Jason A Dominitz, Deborah A Fisher, Joseph Francis, Linda Kinsinger, Kathleen S Pittman, Philip Schoenfeld, Stephanie E Moser, Sandeep Vijan and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Journal of general internal medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 3 pooled it
8.3field-weighted citation impact, top 3% of its field
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

23 citing papers in PubMed, 3 syntheses or guidelines pooled it, 34 citations in OpenAlex.

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  14. Measuring and Improving Quality of Colonoscopy for Colorectal Cancer Screening.Techniques and innovations in gastrointestinal endoscopy · 2022
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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

11 authors at 5 institutions in 1 country.

Sameer D SainiVeterans Affairs Center for Clinical Management Research (CCMR), 2215 Fuller Road, 111D, Ann Arbor, MI, 48105, USA. sdsaini@umich.edu.
Adam A PowellCenter for Chronic Disease Outcomes Research (CCDOR), Minneapolis VA Health Care System, Minneapolis, MN, USA.
Jason A DominitzVA Puget Sound Health Care System, Seattle, WA, USA.
Deborah A FisherDurham Veterans Affairs Medical Center, Durham, NC, USA.
Joseph FrancisVHA Office of Analytics and Business Intelligence, Washington, DC, USA.
Linda KinsingerVHA National Center for Health Promotion and Disease Prevention, Durham, NC, USA.
Kathleen S PittmanVHA National Center for Health Promotion and Disease Prevention, Durham, NC, USA.
Philip SchoenfeldVeterans Affairs Center for Clinical Management Research (CCMR), 2215 Fuller Road, 111D, Ann Arbor, MI, 48105, USA.
Stephanie E MoserVeterans Affairs Center for Clinical Management Research (CCMR), 2215 Fuller Road, 111D, Ann Arbor, MI, 48105, USA.
Sandeep VijanVeterans Affairs Center for Clinical Management Research (CCMR), 2215 Fuller Road, 111D, Ann Arbor, MI, 48105, USA.
Eve A KerrVeterans Affairs Center for Clinical Management Research (CCMR), 2215 Fuller Road, 111D, Ann Arbor, MI, 48105, USA.
VA Center for Clinical Management Research · USUniversity of Michigan–Ann Arbor · USAnthem (United States) · USDurham VA Medical Center · USVA Puget Sound Health Care System · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMost existing performance measures focus on underuse of care, but there is growing interest in identifying and reducing overuse.

objectiveWe aimed to develop a valid and reliable electronic performance measure of overuse of screening colonoscopy in the Veterans Affairs Health Care System (VA), and to quantify overuse in VA.

designThis was a cross-sectional study with multiple cross-sections. SUBJECTS: U.S. Veterans who underwent screening colonoscopy between 2011 and 2013. MAIN MEASURES: Overuse of screening colonoscopy, using a validated electronic measure developed by an expert workgroup. KEY

resultsCompared to results obtained from manual record review, the electronic measure was highly specific (97 %) for overuse, but not sensitive (20 %). After exclusion of diagnostic and high-risk screening or surveillance procedures, the validated electronic measure identified 88,754 average-risk screening colonoscopies performed in VA during 2013. Of these, 20,530 (23 %) met the definition for probable (17 %) or possible (6 %) overuse. Substantial variation in colonoscopy overuse was noted between Veterans Integrated Care Networks (VISNs) and between facilities, with a nearly twofold difference between the maximum and minimum rates of overuse at the VISN level and a nearly eightfold difference at the facility level. Overuse at the VISN and facility level was relatively stable over time.

conclusionsOveruse of screening colonoscopy can be measured reliably and with high specificity using electronic data, and is common in a large integrated healthcare system. Overuse measures, such as those we have specified through a consensus workgroup process, could be combined with underuse measures to improve the appropriateness of colorectal cancer screening.

Indexed as

AdultAgedAged, 80 and overColonoscopyCross-Sectional StudiesDelivery of Health Care, IntegratedEarly Detection of CancerElectronic Health RecordsFemaleHumansMaleMiddle AgedUnited StatesUnited States Department of Veterans AffairsVeterans Healthcolorectal cancerhealth services researchperformance measurementscreening

Identifiers

PMID26951277
PMCPMC4803673
OpenAlexW2312839508

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.