Evidence map›Paper›PMID 34609692›Full record

ArticleJournal of clinical psychology in medical settings2021

Identifying Mental Disorders in Primary Care: Diagnostic Accuracy of the Connected Mind Fast Check (CMFC) Electronic Screen.

Richard Rogers, Sara E Hartigan, Courtney E Sanders

Open access · bronzeAbstract read
In one paragraph

Article in Journal of clinical psychology in medical settings, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
1.2field-weighted citation impact, top 22% 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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
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  8. Review
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

3 authors at 1 institution in 1 country.

Richard RogersDepartment of Psychology, University of North Texas, 1155 Union Circle, Denton, 311280, USA. rogers_1@hotmail.com.ORCID 0000-0002-4208-966X
Sara E HartiganDepartment of Psychology, University of North Texas, 1155 Union Circle, Denton, 311280, USA.ORCID 0000-0002-2043-3589
Courtney E SandersDepartment of Psychology, University of North Texas, 1155 Union Circle, Denton, 311280, USA.ORCID 0000-0003-3968-1010
University of North Texas · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Primary care physicians (PCPs) often daily address diagnoses and treatment of mental disorders in their practices. The current study examined the Connected Mind Fast Check (CMFC), a two-tiered electronic screen, assessing six common mental disorders. The eight-item Initial Screen assesses possible symptoms, whereas SAM modules establish provisional diagnoses and areas of clinical concern. With 234 patients from five independent PCP offices, diagnostic accuracy was tested with the SCID-5-RV as the external criterion. Concerningly, many patients were unaware of their current mental disorders and comorbidities. The CMFC Initial Screen evidenced strong sensitivity, identifying with very few missing diagnoses. About two-thirds of provisional SAM diagnoses were confirmed with high specificities. Bipolar Disorder posed the most challenges at both tiers. Importantly, the suicide screen identified all patients with suicide plans and three-fourths with ideation. In general, the CMFC effectively identified provisional diagnoses, impairment, and potential suicidality.

Indexed as

Bipolar DisorderMental DisordersSuicideElectronicsHumansPrimary Health CareCMFCConnected Mind Fast CheckMental health screensMisdiagnosisMissed diagnosesPrimary health care

Identifiers

PMID34609692
PMCPMC8491449
OpenAlexW3204520490

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.