000 | 03152nam a22004457a 4500 | ||
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008 | 201231s20202020 xxu||||| |||| 00| 0 eng d | ||
022 | _a1195-9479 | ||
040 | _aOvid MEDLINE(R) | ||
099 | _a33325351 | ||
245 | _aThe impact of gender and institutional factors on depression and suicidality in urology residents. | ||
251 | _aCanadian Journal of Urology. 27(6):10471-10479, 2020 Dec. | ||
252 | _aCan J Urol. 27(6):10471-10479, 2020 Dec. | ||
253 | _aThe Canadian journal of urology | ||
260 | _c2020 | ||
260 | _fFY2021 | ||
265 | _sppublish | ||
266 | _d2020-12-31 | ||
520 | _aCONCLUSIONS: 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. | ||
520 | _aINTRODUCTION 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. | ||
520 | _aMATERIALS 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. | ||
520 | _aRESULTS: 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]). | ||
546 | _aEnglish | ||
650 | _aIN PROCESS -- NOT YET INDEXED | ||
651 | _aMedStar Health | ||
651 | _aMedStar Health Research Institute | ||
651 | _aMedStar Washington Hospital Center | ||
656 | _aMedStar Shah Medical Group | ||
656 | _aUrology | ||
656 | _aUrology; Literature and Medicine | ||
656 | _aVice President | ||
657 | _aJournal Article | ||
700 | _aAlger, Jordan | ||
700 | _aKrasnow, Ross | ||
700 | _aLynch, John H | ||
700 | _aMarchalik, Daniel | ||
700 | _aMete, Mihriye | ||
700 | _aPadmore, Jamie | ||
790 | _aAlger J, Catomeris A, Goldman C, Krasnow R, Lynch JH, Marchalik D, Mete M, Padmore J, Rodriguez A | ||
942 |
_cART _dArticle |
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999 |
_c5986 _d5986 |