Evidence map›Paper›PMID 40568673›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Functional improvement is a better predictor of steady work than medical improvement for individuals with mental health conditions.

Joshua C Chang, Julia Porcino, Elizabeth Marfeo, Larry Tang, Howard Goldman, Elizabeth Rasch

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Joshua C ChangRehabilitation Medicine Department, National Institutes of Health Clinical Center, Bethesda, Maryland, United States of America.ORCID 0000-0001-9690-9179
Julia PorcinoRehabilitation Medicine Department, National Institutes of Health Clinical Center, Bethesda, Maryland, United States of America.
Elizabeth MarfeoRehabilitation Medicine Department, National Institutes of Health Clinical Center, Bethesda, Maryland, United States of America.ORCID 0000-0001-9075-7362
Larry TangRehabilitation Medicine Department, National Institutes of Health Clinical Center, Bethesda, Maryland, United States of America.ORCID 0000-0001-9646-8502
Howard GoldmanRehabilitation Medicine Department, National Institutes of Health Clinical Center, Bethesda, Maryland, United States of America.ORCID 0000-0002-7899-4936
Elizabeth RaschRehabilitation Medicine Department, National Institutes of Health Clinical Center, Bethesda, Maryland, United States of America.ORCID 0009-0009-9518-3471

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Supported Employment Demonstration (SED) offered vocational and mental health services to recently denied disability benefit applicants with mental health conditions, along with other multiple co-morbidities, to evaluate the impact of evidence-based interventions on fostering employment and downstream benefits such as self-sufficiency, improved quality of life, and improved mental health. Using the SED public use file, we analyzed work outcomes for the study participants in relation to functional improvement, as measured by the Work Disability Functional Assessment Battery, vs. medical improvement. Using both Bayesian logistic regression models and neural networks, we found that functional improvement is a better predictor of steady work than medical improvement.

Identifiers

PMID40568673
PMCPMC12191092

What Socratic holds

Textmetadata
LicenceCC0
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 Socratic graph.