Psychiatry research · 2024
An examination of depression severity and treatment adherence among racially and ethnically minoritized, low-income individuals during the COVID-19 transition to telehealth.
СтатьяНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Gamoran Jesse, Xu Yingchen, Buinewicz Sophie A Palitz, Liu Jianyou, Mowrey Wenzhu, Goldentyer Gabriela, Gabbay Vilma, Pimentel Sandra S
Аннотация
Mental healthcare was fundamentally altered during the COVID-19 pandemic, perhaps most prominently through the massive shift towards telehealth. Herein, we evaluated effects of the transition to teletherapy on treatment adherence and depressive symptoms for 3,476 patients at three outpatient psychiatric clinics, the majority of whom were low-income and experienced ethnoracial minoritization. Number of missed appointments decreased (mean: 6.27 vs. 3.77, p < .0001), and PHQ-9 scores decreased (mean: 8.17 vs. 6.82, p < .0001) between six months prior to and following the March 18, 2020 switch to telehealth. These conclusions held when adjusting for covariates including age, sex, race/ethnicity, and insurance status (i.e., socioeconomic status). Stratified analyses (i.e., adults, emerging adults, and youth) yielded the same conclusions, with the exception of emerging adults, for whom the PHQ-9 change was not significant. Results indicated the transition from in-person to teletherapy was associated with significantly reduced mean numbers of missed visits and depressive symptoms. Such results during this especially tumultuous period may underscore telehealth's effectiveness. Future research should explore whether there is a causal relationship between telehealth or mixed hybrid options, positive treatment outcomes, and prescriptive care delivery models, as well as applications of e-mental health tools for diverse, underserved patient populations.