Normal view MARC view ISBD view

The impact of gender and institutional factors on depression and suicidality in urology residents.

MedStar author(s):

Citation: Canadian Journal of Urology. 27(6):10471-10479, 2020 Dec.PMID: 33325351Institution: MedStar Health | MedStar Health Research Institute | MedStar Washington Hospital CenterDepartment: MedStar Shah Medical Group | Urology | Urology; Literature and Medicine | Vice PresidentForm of publication: Journal ArticleMedline article type(s): Journal ArticleSubject headings: IN PROCESS -- NOT YET INDEXEDYear: 2020 ISSN:

1195-9479

Name of journal: The Canadian journal of urologyAbstract: CONCLUSIONS: Urology trainees experience high rates of depression and SI. Female residents have significantly higher risk of depression. A single-item appears useful to screen for SI. Further investigation is needed to understand and promote urology resident wellness.INTRODUCTION Surgical trainees experience high rates of depression and suicidal ideation (SI). However, there remain a gap in knowledge on the drivers of depression and SI in trainees, especially within the field of urology.MATERIALS AND METHODS: We conducted a national study of urology trainees using a 50-item questionnaire in May 2018. The survey included demographic, depression (Patient Health Questionnaire-9 (PHQ-9)), burnout (Maslach Burnout Inventory (MBI)), and quality of life (QoL) questions.RESULTS: Overall, 37 (17.6%) endorsed depression; 24 residents endorsed SI (11%). SI was higher in those with depression (p < 0.001). Burnout was also higher among depressed residents (97.3% versus 61.8%, p < 0.001) and those endorsing SI (16.1% versus 1.5%, p < 0.001). Depression was associated with female gender (29.2% versus 12.4%, p = 0.005), fatigue (29.5% versus 7.8%, p < 0.001), and lack of structured mentorship (23.7% versus 9.8%, p = 0.010). Access to mental health services was protective (p = 0.016). Older age, low QoL, dissatisfaction with work-life-balance (WLB), and fatigue were associated with SI. On adjusted analysis, gender (OR 3.1 [95%CI 1.4-6.9], p = 0.006), fatigue (OR 3.8[95%CI 1.6-9.0], p = 0.002), and burnout (OR 16.7 [95%CI 2.2-127.5], p = 0.007) increased the odds of depression. On exploratory analysis, self-reported burnout alone was predictive of SI (OR 7.6 [95%CI 2.5-23]), and performed similarly to an adjusted model (AUC Area 0.718 [95%CI 0.634-0.802] versus 0.825 [0.753-0.897]).All authors: Alger J, Catomeris A, Goldman C, Krasnow R, Lynch JH, Marchalik D, Mete M, Padmore J, Rodriguez AFiscal year: FY2021Date added to catalog: 2020-12-31

Holdings ( 1 )
Title notes ( 5 )

Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode
Journal Article	MedStar Authors Catalog	Article	33325351	Available		33325351

CONCLUSIONS: Urology trainees experience high rates of depression and SI. Female residents have significantly higher risk of depression. A single-item appears useful to screen for SI. Further investigation is needed to understand and promote urology resident wellness.

INTRODUCTION Surgical trainees experience high rates of depression and suicidal ideation (SI). However, there remain a gap in knowledge on the drivers of depression and SI in trainees, especially within the field of urology.

MATERIALS AND METHODS: We conducted a national study of urology trainees using a 50-item questionnaire in May 2018. The survey included demographic, depression (Patient Health Questionnaire-9 (PHQ-9)), burnout (Maslach Burnout Inventory (MBI)), and quality of life (QoL) questions.

RESULTS: Overall, 37 (17.6%) endorsed depression; 24 residents endorsed SI (11%). SI was higher in those with depression (p < 0.001). Burnout was also higher among depressed residents (97.3% versus 61.8%, p < 0.001) and those endorsing SI (16.1% versus 1.5%, p < 0.001). Depression was associated with female gender (29.2% versus 12.4%, p = 0.005), fatigue (29.5% versus 7.8%, p < 0.001), and lack of structured mentorship (23.7% versus 9.8%, p = 0.010). Access to mental health services was protective (p = 0.016). Older age, low QoL, dissatisfaction with work-life-balance (WLB), and fatigue were associated with SI. On adjusted analysis, gender (OR 3.1 [95%CI 1.4-6.9], p = 0.006), fatigue (OR 3.8[95%CI 1.6-9.0], p = 0.002), and burnout (OR 16.7 [95%CI 2.2-127.5], p = 0.007) increased the odds of depression. On exploratory analysis, self-reported burnout alone was predictive of SI (OR 7.6 [95%CI 2.5-23]), and performed similarly to an adjusted model (AUC Area 0.718 [95%CI 0.634-0.802] versus 0.825 [0.753-0.897]).

English