Evidence map›Paper›PMID 40655910›Full record

ArticleJournal of mood and anxiety disorders2024

Association between prescriber practices and major depression treatment outcomes.

Sarah Rathnam, Abhishek Sharma, Kamber L Hart, Pilar F Verhaak, Thomas H McCoy, Roy H Perlis, Finale Doshi-Velez

Abstract read
In one paragraph

Article in Journal of mood and anxiety disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Sarah RathnamHarvard John A. Paulson School of Engineering and Applied Science, Cambridge, MA, United States.
Abhishek SharmaHarvard John A. Paulson School of Engineering and Applied Science, Cambridge, MA, United States.
Kamber L HartCenter for Quantitative Health, Massachusetts General Hospital, Boston, MA, United States.
Pilar F VerhaakCenter for Quantitative Health, Massachusetts General Hospital, Boston, MA, United States.
Thomas H McCoyCenter for Quantitative Health, Massachusetts General Hospital, Boston, MA, United States.
Roy H PerlisCenter for Quantitative Health, Massachusetts General Hospital, Boston, MA, United States.
Finale Doshi-VelezHarvard John A. Paulson School of Engineering and Applied Science, Cambridge, MA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Practice variability may represent an opportunity to improve care by identifying the differences in outcomes associated with differences in practice. To characterize differences in depression treatment outcomes among individual providers in outpatient psychiatry practices and primary care practices, we examined a longitudinal cohort derived from outpatient electronic health records from two academic medical centers and six community hospitals in Eastern Massachusetts. This cohort included antidepressant-treated individuals with an ICD-9/10 diagnosis of major depressive disorder, and deidentified health care providers treating at least 10 such patients per year between 2008 and 2022. We examined the association between individual provider prescribing characteristics and proportions of treated patients who do not follow up after initial antidepressant prescription or who achieve a stable ongoing prescription. In binomial regression models, among 104 psychiatrists, greater heterogeneity in antidepressant prescribing and lesser proportion of serotonin reuptake inhibitors (SSRIs)

Indexed as

AntidepressantsElectronic health recordsHealth servicesMajor depressionPrimary carePsychopharmacology

Identifiers

PMID40655910
PMCPMC12244021

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.