Evidence map›Paper›PMID 37646812›Full record

ArticleEuropean radiology2023

Inappropriate CT examinations: how much, who and where? Insights from a clinical decision support system (CDSS) analysis.

Shani Rosen, Clara Singer, Sharona Vaknin, Arielle Kaim, Osnat Luxenburg, Arnon Makori, Natalia Goldberg, Moran Rad, Shani Gitman, Mor Saban

Abstract read
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Article in European radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Trial
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 5 institutions in 1 country.

Shani Rosen *Department of Health Technology and Policy Evaluation, Gertner Institute for Epidemiology and Health Policy Research, Sheba Medical Center, Tel HaShomer, Israel.
Clara Singer *Department of Health Technology and Policy Evaluation, Gertner Institute for Epidemiology and Health Policy Research, Sheba Medical Center, Tel HaShomer, Israel.
Sharona VakninDepartment of Health Technology and Policy Evaluation, Gertner Institute for Epidemiology and Health Policy Research, Sheba Medical Center, Tel HaShomer, Israel.
Arielle KaimDepartment of Emergency and Disaster Management, School of Public Health, Faculty of Medicine, Tel-Aviv University, Tel-Aviv-Yafo, Israel.
Osnat LuxenburgMedical Technology, Health Information and Research Directorate, Ministry of Health, Jerusalem, Israel.
Arnon MakoriCommunity Medical Services Division, Clalit Health Services, Tel Aviv, Israel.
Natalia GoldbergRadiology Department, Carmel Medical Center, Haifa, Israel.
Moran RadResearch Division, Carmel Medical Center, Haifa, Israel.
Shani GitmanResearch Division, Carmel Medical Center, Haifa, Israel.
Mor SabanNursing Department, School of Health Sciences, Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel. morsaban1@tauex.tau.ac.il.ORCID http://orcid.org/0000-0001-6869-0907
Carmel Medical Center · ILSheba Medical Center · ILTel Aviv University · ILClalit Health Services · ILIsrael Ministry of Health · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo assess the appropriateness of Computed Tomography (CT) examinations, using the ESR-iGuide. MATERIAL AND

methodsA retrospective study was conducted in 2022 in a medium-sized acute care teaching hospital. A total of 278 consecutive cases of CT referral were included. For each imaging referral, the ESR-iGuide provided an appropriateness score using a scale of 1-9 and the Relative Radiation Level using a scale of 0-5. These were then compared with the appropriateness score and the radiation level of the recommended ESR-iGuide exam. DATA ANALYSIS: Pearson's chi-square test or Fisher exact test was used to explore the correlation between ESR-iGuide appropriateness level and physician, patients, and shift characteristics. A stepwise logistic regression model was used to capture the contribution of each of these factors.

resultsMost of exams performed were CT head (63.67%) or CT abdominal pelvis (23.74%). Seventy percent of the actual imaging referrals resulted in an ESR-iGuide score corresponding to "usually appropriate." The mean radiation level for actual exam was 3.2 ± 0.45 compared with 2.16 ± 1.56 for the recommended exam. When using a stepwise logistic regression for modeling the probability of non-appropriate score, both physician specialty and status were significant (p = 0.0011, p = 0.0192 respectively). Non-surgical and specialist physicians were more likely to order inappropriate exams than surgical physicians.

conclusionsESR-iGuide software indicates a substantial rate of inappropriate exams of CT head and CT abdominal-pelvis and unnecessary radiation exposure mainly in the ED department. Inappropriate exams were found to be related to physicians' specialty and seniority. CLINICAL RELEVANCE STATEMENT: These findings underscore the urgent need for improved imaging referral practices to ensure appropriate healthcare delivery and effective resource management. Additionally, they highlight the potential benefits and necessity of integrating CDSS as a standard medical practice. By implementing CDSS, healthcare providers can make more informed decisions, leading to enhanced patient care, optimized resource allocation, and improved overall healthcare outcomes. KEY POINTS: • The overall mean of appropriateness for the actual exam according to the ESR-iGuide was 6.62 ± 2.69 on a scale of 0-9. • Seventy percent of the actual imaging referrals resulted in an ESR-iGuide score corresponding to "usually appropriate." • Inappropriate examination is related to both the specialty of the physician who requested the exam and the seniority status of the physician.

Indexed as

Decision Support Systems, ClinicalAbdomenHumansRetrospective StudiesTomography, X-Ray ComputedUnnecessary ProceduresAppropriate imagingAppropriateness criteriaClinical decision support systemsCT examEuropean Society of Radiology

Identifiers

PMID37646812
OpenAlexW4386272048

What OpenQuestion holds

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Registered trials

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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.