Evidence map›Paper›PMID 31154587›Full record

ArticleCommunity mental health journal2019

Psychiatric Risk Assessment from the Clinician's Perspective: Lessons for the Future.

Alex S Cohen, Taylor Fedechko, Elana K Schwartz, Thanh P Le, Peter W Foltz, Jared Bernstein, Jian Cheng, Elizabeth Rosenfeld, Brita Elvevåg

Abstract read
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In one paragraph

Article in Community mental health journal, 2019. 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
–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

4 citing papers in PubMed.

  1. Article
  2. Observational
  3. Review
  4. 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

9 authors.

Alex S CohenDepartment of Psychology, Louisiana State University, 236 Audubon Hall, Baton Rouge, LA, 70803, USA. acohen@lsu.edu.
Taylor FedechkoDepartment of Psychology, Louisiana State University, 236 Audubon Hall, Baton Rouge, LA, 70803, USA.
Elana K SchwartzDepartment of Psychology, Louisiana State University, 236 Audubon Hall, Baton Rouge, LA, 70803, USA.
Thanh P LeDepartment of Psychology, Louisiana State University, 236 Audubon Hall, Baton Rouge, LA, 70803, USA.
Peter W FoltzInstitute of Cognitive Science, University of Colorado, Boulder, USA.
Jared BernsteinAnalytic Measures Inc, Palo Alto, CA, USA.
Jian ChengAnalytic Measures Inc, Palo Alto, CA, USA.
Elizabeth RosenfeldAnalytic Measures Inc, Palo Alto, CA, USA.
Brita ElvevågDepartment of Clinical Medicine, University of Tromsø - The Arctic University of Norway, Tromsø, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate prediction of risk-states in Serious Mental Illnesses (SMIs) is critical for reducing their massive societal burden. Risk-state assessments are notably inaccurate. Recent innovations, including widely available and inexpensive mobile technologies for ambulatory "biobehavioral" data, can reshape risk assessment. To help understand and accelerate clinician involvement, we surveyed 90 multi-disciplinary clinicians serving SMI populations in various settings to evaluate how risk assessment is conducted and can improve. Clinicians reported considerable variability in conducting risk assessment, and few clinicians explicated their procedures beyond tying it to broader mental status examinations or interviews. Very few clinicians endorsed using currently-available standardized risk measures, and most reported low confidence in their utility. Clinicians also reported spending approximately half the time conducting individual risk assessments than optimally needed. When asked about improvement, virtually no clinicians acknowledged biobehavioral, objective technologies, or ambulatory recording. Overall, clinicians seemed unaware of meaningful ways to improve risk assessment.

Indexed as

Mental DisordersCounselorsHumansLouisianaPsychiatryPsychologyRisk AssessmentSocial WorkSocial WorkersMachine learningObjectiveRisk assessmentSerious mental illnessTechnology

Identifiers

PMID31154587

What OpenQuestion holds

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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.