This review presents a comprehensive guide for optimizing medication management in older adults with depression within an outpatient setting. Medication optimization involves tailoring the antidepressant strategy to the individual, ensuring the administration of appropriate medications at optimal dosages. In the case of older adults, this process necessitates not only adjusting or changing antidepressants but also addressing the concurrent use of inappropriate medications, many of which have cognitive side effects. This review outlines various strategies for medication optimization in late-life depression: (1) Utilizing the full dose range of a medication to maximize therapeutic benefits and strive for remission. (2) Transitioning to alternative classes (such as a serotonin and norepinephrine reuptake inhibitor [SNRI], bupropion, or mirtazapine) when first-line treatment with selective serotonin reuptake inhibitors [SSRIs] proves inadequate. (3) Exploring augmentation strategies like aripiprazole for treatment-resistant depression. (4) Implementing measurement-based care to help adjust treatment. (5) Sustaining an effective antidepressant strategy for at least 1 year following depression remission, with longer durations for recurrent episodes or severe presentations. (6) Safely discontinuing anticholinergic medications and benzodiazepines by employing a tapering method when necessary, coupled with counseling about the benefits of stopping them. Additionally, this article explores favorable medications for depression, as well as alternatives for managing anxiety, insomnia, allergy, overactive bladder, psychosis, and muscle spasm in order to avoid potent anticholinergics and benzodiazepines.

Prevalence of depression is high among medical students and several mental problems are identified as risk factors. Coronavirus disease 2019 (COVID-19) pandemic causes difficulties that could adversely affect mental health. However, data concerning prevalence of mental problems, and whether or not these problems remain risk factors for depression during the COVID-19 pandemic in medical students are scarce. To investigate the prevalence of depression, social media addiction, game addiction, sleep quality, eating disorder risk, and perceived stress among Thai medical students, risk factors for depression were investigated. Online surveys via our faculty’s learning portals were advertized to medical students who engaged online learning and 224 respondents provided complete data. Study-related medical students’ data were collected using the Patient Health Questionnaire-9 for depression, the Social-Media Addiction Screening Scale for social media addiction, the Game Addiction Screening Test for game addiction, the Pittsburgh Sleep Quality Index for sleep quality, the Eating Attitudes Test for eating disorder risk, and the Perceived Stress Scale for perceived stress. Depression was reported in 35.7% of medical students, social-media addiction in 22.3%, game addiction in 4.5%, eating disorder risk in 4.9%, poor sleep quality in 80.8%, and moderate-to-high perceived stress in 71.4%. The independent predictors of depression were lower grade point average, social media addiction, and moderate-to-high perceived stress. A high prevalence of depression, stress, and poor sleep was found among medical students during the COVID-19 pandemic. Medical students who are stressed, have lower grades, and/or who are addicted to social media warrant depression screening.

Purpose: This study evaluated the experiences and needs of lesbian, gay, bisexual, transgender, queer, and other sexual and gender minorities (LGBTQ+) attending medical schools in Thailand. Method: Medical students from 4 medical schools in Thailand were recruited in 2022. LGBTQ+ participants were selected via purposive sampling and invited for semistructured interviews. Verbatim transcripts were analyzed using reflexive thematic analysis. Results: Interviews were conducted with 39 students identifying as lesbian, gay, bisexual, transgender, queer, questioning, nonbinary, asexual, or androgynous, with a mean age of 21. The experiences of these LGBTQ+ individuals in medical school had 4 themes: (1) normalization of LGBTQ+ identity among friends, or not openly identifying as LGBTQ+ (because it was viewed as unnecessary), facilitated everyday life; (2) fear of negative judgments from being LGBTQ+ by attending physicians and patients; (3) authenticity to sexual or gender identity provided relief; and (4) personal histories of discrimination affected self-disclosure and social dynamics. Overall, approximately 17% of reported stressors were directly associated with participants’ LGBTQ+ identity. The identified needs within medical schools comprised 2 themes: (1) treat each other with equal respect (with 3 subthemes: nonjudgmental attitudes supported by effective discrimination reporting systems, more LGBTQ+-related education and extracurricular activities, and activities driven by voluntariness without gender-based selection); and (2) abolishment or amendment of regulations that strictly enforce gender binaries. These amendments could include implementing flexible dress codes, establishing gender-neutral restrooms and dormitories, and introducing gender-neutral titles. Transgendered participants reported experiencing the most significant disparities due to binary regulations and infrastructures. Conclusions: LGBTQ+ medical students in Thailand reported fear of negative perceptions by attending physicians and patients. Exposing everyone, particularly attending physicians, to examples of unintentional discrimination is recommended. There is also a need to promote LGBTQ+-related education and extracurricular activities and to ensure activities and regulations are not gender divided.

This study evaluated the prevalence and associated factors of depression and generalized anxiety among LGBTQ+ in five medical schools in Thailand. The Patient Health Questionnaire-9 (PHQ-9) and Generalized Anxiety Disorder-7 (GAD-7) were used to assess major depressive disorder (MDD) and generalized anxiety disorder (GAD), respectively, and multivariable logistic regression was employed to identify associated factors. Of 1,322 students, 412 (31.16%) identified as LGBTQ+. The prevalence for MDD and GAD among LGBTQ+ students were 32.77% and 17.23%, respectively. Significant associated factors for both MDD and GAD were a history of psychiatric illness (AOR for MDD = 2.32, p = .020; AOR for GAD = 3.67, p < .001), educational problems (AOR for MDD = 6.62, p < .001; AOR for GAD = 5.12, p < .001), and dissatisfaction with gender identity or sexual orientation (AOR for MDD = 1.92, p = .019; AOR for GAD = 2.47, p = .005). Additional factors associated with MDD were preclinical years (AOR = 2.30, p = .023), financial struggles (AOR = 2.05, p = .021), and inadequate peer support (AOR = 2.57, p = .044). In conclusion, nearly one-third and one-fifth of Thai LGBTQ+ medical students suffer from MDD and GAD, respectively. Our findings suggest that Thai medical schools should promote LGBTQ+ inclusivity to enhance students' identity satisfaction. Peer support groups should be encouraged, especially for preclinical LGBTQ+ students who face educational and financial challenges.