Evidence map›Paper›PMID 35868231›Full record

ArticleInternational journal of medical informatics2022

A scoping review of medical practice variation research within the informatics literature.

Sunghwan Sohn, Sungrim Moon, Larry J Prokop, Victor M Montori, J Wilfred Fan

Abstract readScoping Review
In one paragraph

Article in International journal of medical informatics, 2022. 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. Review
  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

5 authors.

Sunghwan SohnDepartment of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, MN, United States.
Sungrim MoonDepartment of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, MN, United States.
Larry J ProkopMayo Clinic Libraries, Mayo Clinic, Rochester, MN, United States.
Victor M MontoriDepartment of Internal Medicine, Mayo Clinic, Rochester, MN, United States; Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, United States.
J Wilfred FanDepartment of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, MN, United States; Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, United States; Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN, United States. Electronic address: fan.jung-wei@mayo.edu.

Funding

Early Detection of Mild Cognitive Impairment, Alzheimer’s Disease and Other Dementias using EHRR01AG068007 · NIA · MAYO CLINIC ROCHESTER · PI Yonas E Geda, Sunghwan Sohn · 2020 to 2026
$3.8M
Secondary use of EMR for residency training in asthma care and documentationR21AI142702 · NIAID · MAYO CLINIC ROCHESTER · PI JUHN, YOUNG J, SOHN, SUNGHWAN · 2019 to 2020
$437k
NIAID NIH HHS R21 AI142702NIA NIH HHS R01 AG068007
6 · The paper itself

Abstract

rationaleWe performed a scoping review of informatics core literature about medical practice variation (MPV) as an agile summary of the subject in our field. MATERIALS AND

methodsThe Ovid integrated database was searched between 1946 and 2022 to identify MPV studies published in major informatics journals and conference proceedings. Two reviewers performed relevance screening, with assistance from another independent reviewer for adjudication. The included articles were then thematically analyzed and summarized through discussion among all three reviewers.

resultsA total of 43 articles were included and went through the thematic analysis. About half (n = 21) of the included articles were published in conference proceedings. Five articles reported the effect of MPV on patient outcomes. The variation of interest was most frequently in treatment decisions. In terms of the role informatics played (multiple roles allowed), 39 (90.7%) articles pertained to detection of MPV, 5 were about prevention of MPV and 4 about learning from MPV. DISCUSSION: MPV remains a critical issue in health care, yet most informatics research has been focused on simple tasks such as automating the detection of MPV and assessing compliance to decision-support systems, and less focused on addressing the causes of variation or supporting learning from variation.

conclusionOur scoping review found that informatics studies have focused on detecting of MPV, especially variability in treatments and deviation from practice guidelines. Technological advances should promote more informatics research focused on explaining and learning from MPV.

Indexed as

Biomedical ResearchMedical InformaticsDelivery of Health CareHumansClinical practice patternsGuideline adherenceMedical informaticsProfessional practice gapsReview

Identifiers

PMID35868231
PMCPMC10103076

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.