Evidence map›Paper›PMID 30570500›Full record

ArticleAcademic medicine : journal of the Association of American Medical Colleges2019

Residency Program Factors Associated With Depressive Symptoms in Internal Medicine Interns: A Prospective Cohort Study.

Karina Pereira-Lima, Rahael R Gupta, Constance Guille, Srijan Sen

Open access · bronzeAbstract readMulticenter Study
In one paragraph

Article in Academic medicine : journal of the Association of American Medical Colleges, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
8.1field-weighted citation impact, top 3% 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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Assessing Interpersonal Relationships in Medical Education: the Connection Index.Academic psychiatry : the journal of the American Association of Directors of Psychiatric Residency Training and the Association for Academic Psychiatry · 2022
    Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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

4 authors at 3 institutions in 2 countries.

Karina Pereira-LimaK. Pereira-Lima is a research scholar, Department of Psychiatry, University of Michigan Medical School, Ann Arbor, Michigan, and PhD candidate, Department of Neuroscience and Behavior, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, São Paulo, Brazil. R.R. Gupta is an MD candidate, University of Michigan Medical School, Ann Arbor, Michigan. C. Guille is assistant professor, Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, South Carolina. S. Sen is research associate professor, Molecular and Behavioral Neuroscience Institute, and associate professor, Department of Psychiatry, University of Michigan Medical School, Ann Arbor, Michigan.
Rahael R Gupta
Constance Guille
Srijan Sen
University of Michigan · USMedical University of South Carolina · USUniversidade de São Paulo · BR

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
Utilizing Medical Internship to Identify Genetic Variation Associated with DepresK23MH095109 · NIMH · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SEN, SRIJAN · 2011 to 2014
$729k
NIMH NIH HHS K23 MH095109NIMH NIH HHS R01 MH101459
6 · The paper itself

Abstract

purposeTo investigate the associations between program-level variables such as organizational structure, workload, and learning environment and residents' development of depressive symptoms during internship.

methodBetween 2012 and 2015, 1,276 internal medicine interns from 54 U.S. residency programs completed the Patient Health Questionnaire-9 (PHQ-9) before internship, and then quarterly throughout the internship. The training environment was assessed via a resident questionnaire and average weekly work hours. The authors gathered program structural variables from the American Medical Association Fellowship and Residency Electronic Interactive Database (FREIDA online) and program research rankings from Doximity. Associations between program-level variables and change in depressive symptoms were determined using stepwise linear regression modeling.

resultsMean program PHQ-9 scores increased from 2.3 at baseline to 5.9 during internship (mean difference 3.6; SD 1.4; P < .001), with the mean increase ranging from -0.3 to 8.8 (interquartile range 1.1) among included programs. In multivariable models, faculty feedback (β = -0.37; 95% CI: -0.62, -0.12; P = .005), learning experience in inpatient rotations (β = -0.28; 95% CI: -0.54, -0.02; P = .030), work hours (β = 0.34; 95% CI: 0.13, 0.56; P = .002), and research ranking position (β = -0.25; 95% CI: -0.47, -0.03; P = .036) were associated with change in depressive symptoms.

conclusionsPoor faculty feedback and inpatient learning experience, long work hours, and high institutional research rankings were associated with increased depressive symptoms among internal medicine interns. These factors may be potential targets for interventions to improve wellness and mental health among these professionals.

Indexed as

AdultDepressionEducation, Medical, GraduateFemaleHumansInternal MedicineInternship and ResidencyMaleProspective StudiesRisk AssessmentStudents, MedicalUnited StatesYoung Adult

Identifiers

PMID30570500
PMCPMC6538448
OpenAlexW2918108985

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.