Evidence map›Paper›PMID 28991149›Full record

Trial reportThe Journal of nervous and mental disease2017

Decisional Informatics for Psychosocial Rehabilitation: A Feasibility Pilot on Tailored and Fluid Treatment Algorithms for Serious Mental Illness.

Jimmy Choi, Paul H Lysaker, Morris D Bell, Lisa Dixon, Paul Margolies, Matthew Gold, Elizabeth Golden-Roose, Warren Thime, Lawrence C Haber, Michael J Dewberry and 3 more

Open access · greenAbstract readRandomized Controlled Trial
In one paragraph

Trial report in The Journal of nervous and mental disease, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 2 pooled it
0.2field-weighted citation impact, top 43% 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

2 citing papers in PubMed, 2 syntheses or guidelines pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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

13 authors at 1 institution in 1 country.

Jimmy Choi*The Institute of Living at Hartford Hospital, Hartford, Connecticut; †Roudebush VA Medical Center, Indiana University School of Medicine, Indianapolis, Indiana; ‡Psychology Service, VA Connecticut Healthcare System, West Haven; §Yale University School of Medicine, New Haven, Connecticut; ∥New York State Psychiatric Institute; ¶Department of Psychiatry, Columbia University, New York, New York; and #Community Health Resources, Windsor, Connecticut.
Paul H Lysaker
Morris D Bell
Lisa Dixon
Paul Margolies
Matthew Gold
Elizabeth Golden-Roose
Warren Thime
Lawrence C Haber
Michael J Dewberry
Michael Stevens
Godfrey D Pearlson
Joanna M Fiszdon
VA Connecticut Healthcare System · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Intrinsic Motivation and Learning in SchizophreniaK23MH086755 · NIMH · HARTFORD HOSPITAL · PI CHOI, JIMMY · 2011 to 2015
$895k
NCATS NIH HHS UL1 TR001863NIMH NIH HHS K23 MH086755
6 · The paper itself

Abstract

This study introduces a computerized clinical decision-support tool, the Fluid Outpatient Rehabilitation Treatment (FORT), that incorporates individual and ever-evolving patient needs to guide clinicians in developing and updating treatment decisions in real-time. In this proof-of-concept feasibility pilot, FORT was compared against traditional treatment planning using similar behavioral therapies in 52 adults with severe mental illness attending community-based day treatment. At posttreatment and follow-up, group differences and moderate-to-large effect sizes favoring FORT were detected in social function, work readiness, self-esteem, working memory, processing speed, and mental flexibility. Of participants who identified obtaining a General Education Diploma as their goal, 73% in FORT passed the examination compared with 18% in traditional treatment planning. FORT was also associated with higher agency cost-effectiveness and a better average benefit-cost ratio, even when considering diagnosis, baseline symptoms, and education. Although the comparison groups were not completely equivalent, the findings suggest computerized decision support systems that collaborate with human decision-makers to personalize psychiatric rehabilitation and address critical decisions may have a role in improving treatment effectiveness and efficiency.

Indexed as

Decision Support TechniquesAdultAlgorithmsFeasibility StudiesFemaleHumansMaleMental DisordersPilot ProjectsPsychological TestsSelf ConceptTreatment Outcome

Identifiers

PMID28991149
PMCPMC5827965
OpenAlexW2761073498

What OpenQuestion holds

Textmetadata
LicenceTDM
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.