Evidence map›Paper›PMID 34444182›Full record

ArticleInternational journal of environmental research and public health2021

Clinical Decision Support Systems for Diagnosis in Primary Care: A Scoping Review.

Taku Harada, Taiju Miyagami, Kotaro Kunitomo, Taro Shimizu

Abstract readScoping Review
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 4 pooled it
–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

35 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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  19. Primary Care Informatics: Vitalizing the Bedrock of Health Care.Journal of medical Internet research · 2024
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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

4 authors.

Taku HaradaDepartment of General Medicine, Showa University Koto Toyosu Hospital, Tokyo 135-8577, Japan.ORCID 0000-0001-8794-6744
Taiju MiyagamiDepartment of General Medicine, Juntendo University Faculty of Medicine, Tokyo 113-8421, Japan.
Kotaro KunitomoDepartment of General Medicine, Kumamoto Medical Center, Kumamoto 860-0008, Japan.ORCID 0000-0002-4262-9793
Taro ShimizuDepartment of Diagnostic and Generalist Medicine, Dokkyo Medical University Hospital, Tochigi 321-0297, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diagnosis is one of the crucial tasks performed by primary care physicians; however, primary care is at high risk of diagnostic errors due to the characteristics and uncertainties associated with the field. Prevention of diagnostic errors in primary care requires urgent action, and one of the possible methods is the use of health information technology. Its modes such as clinical decision support systems (CDSS) have been demonstrated to improve the quality of care in a variety of medical settings, including hospitals and primary care centers, though its usefulness in the diagnostic domain is still unknown. We conducted a scoping review to confirm the usefulness of the CDSS in the diagnostic domain in primary care and to identify areas that need to be explored. Search terms were chosen to cover the three dimensions of interest: decision support systems, diagnosis, and primary care. A total of 26 studies were included in the review. As a result, we found that the CDSS and reminder tools have significant effects on screening for common chronic diseases; however, the CDSS has not yet been fully validated for the diagnosis of acute and uncommon chronic diseases. Moreover, there were few studies involving non-physicians.

Indexed as

Decision Support Systems, ClinicalMass ScreeningPrimary Health Careclinical decision support systemsdiagnostic accuracyhealth information technologyprimary care

Identifiers

PMID34444182
PMCPMC8391274

What OpenQuestion holds

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LicenceCC BY
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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.