Evidence map›Paper›PMID 38904957›Full record

ArticleJAMA network open2024

Duration of New-Onset Depressive Symptoms During Medical Residency.

Erin Kim, Brandy R Sinco, Joan Zhao, Yu Fang, Carrie Cunningham, Elena Frank, Srijan Sen, Amy Bohnert, Tasha M Hughes

Abstract read
In one paragraph

Article in JAMA network open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Unstructured Time, Structured Support: Weekly Protected Flexible Time to Support Resident Learning and Well-Being.Academic psychiatry : the journal of the American Association of Directors of Psychiatric Residency Training and the Association for Academic Psychiatry · 2026
    Article
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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.

Erin KimUniversity of Michigan Medical School, Ann Arbor.
Brandy R SincoDepartment of Surgery, University of Michigan, Ann Arbor.
Joan ZhaoUniversity of Michigan Medical School, Ann Arbor.
Yu FangMichigan Neuroscience Institute, University of Michigan, Ann Arbor.
Carrie CunninghamDepartment of Surgery, Massachusetts General Hospital, Boston.
Elena FrankMichigan Neuroscience Institute, University of Michigan, Ann Arbor.
Srijan SenUniversity of Michigan Medical School, Ann Arbor.
Amy BohnertUniversity of Michigan Medical School, Ann Arbor.
Tasha M HughesUniversity of Michigan Medical School, Ann Arbor.

Funding

Mobile Technology to Identify Behavorial Mechanisms Linking Genetic Variation and DepressionR01MH101459 · NIMH · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SEN, SRIJAN · 2013 to 2023
$6.4M
NIMH NIH HHS R01 MH101459
6 · The paper itself

Abstract

Importance: The implications of new-onset depressive symptoms during residency, particularly for first-year physicians (ie, interns), on the long-term mental health of physicians are unknown. Objective: To examine the association between and persistence of new-onset and long-term depressive symptoms among interns. Design, Setting, and Participants: The ongoing Intern Health Study (IHS) is a prospective annual cohort study that assesses the mental health of incoming US-based resident physicians. The IHS began in 2007, and a total of 105 residency programs have been represented in this national study. Interns enrolled sequentially in annual cohorts and completed follow-up surveys to screen for depression using the 9-item Patient Health Questionnaire-9 (PHQ-9) throughout and after medical training. The data were analyzed from May 2023 to March 2024. Exposure: A positive screening result for depression, defined as an elevated PHQ-9 score of 10 or greater (indicating moderate to severe depression) at 1 or more time points during the first postgraduate year of medical training (ie, the intern year). Main Outcomes and Measures: The main outcomes assessed were mean PHQ-9 scores (continuous) and proportions of physicians with an elevated PHQ-9 score (≥10; categorical or binary) at the time of the annual follow-up survey. To account for repeated measures over time, a linear mixed model was used to analyze mean PHQ-9 scores and a generalized estimating equation (GEE) was used to analyze the binary indicator for a PHQ-9 score of 10 or greater. Results: This study included 858 physicians with a PHQ-9 score of less than 10 before the start of their internship. Their mean (SD) age was 27.4 (9.0) years, and more than half (53.0% [95% CI, 48.5%-57.5%]) were women. Over the follow-up period, mean PHQ-9 scores did not return to the baseline level assessed before the start of the internship in either group (those with a positive depression screen as interns and those without). Among interns who screened positive for depression (PHQ-9 score ≥10) during their internship, mean PHQ-9 scores were significantly higher at both 5 years (4.7 [95% CI, 4.4-5.0] vs 2.8 [95% CI, 2.5-3.0]; P < .001) and 10 years (5.1 [95% CI, 4.5-5.7] vs 3.5 [95% CI, 3.0-4.0]; P < .001) of follow-up. Furthermore, interns with an elevated PHQ-9 score (≥10) demonstrated a higher likelihood of meeting this threshold during each year of follow-up. Conclusions and Relevance: In this cohort study of IHS participants, a positive depression screening result during the intern year had long-term implications for physicians, including having persistently higher mean PHQ-9 scores and a higher likelihood of meeting this threshold again. These findings underscore the pressing need to address the mental health of physicians who experience depressive symptoms during their training and to emphasize the importance of interventions to sustain the health of physicians throughout their careers.

Indexed as

DepressionInternship and ResidencyAdultFemaleHumansMalePhysiciansProspective StudiesTime FactorsUnited States

Identifiers

PMID38904957
PMCPMC11193122

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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.