Publications by authors named "Michelle L Conroy"

Objectives: The COVID-19 pandemic caused substantial disruptions in geriatric psychiatry education. In response, the AAGP created the "AAGP COVID-19 Online Trainee Curriculum" (Curriculum) a free online resource consisting of 33 recorded lectures. This study examined the uptake and impact of the Curriculum.

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The older adult population in the United States is poised to reach 83.7 million by 2050, and up to 20% will suffer from cognitive and mental illnesses. We do not have the workforce available to meet this need; therefore, general psychiatrists will care for many older psychiatric patients.

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Sleep disruption is common in older adults and is associated with many poor health outcomes. It is vital for providers to understand insomnia and other sleep disorders in this population. This article outlines age-related changes in sleep, and medical, psychiatric, environmental, and psychosocial factors that may impact sleep.

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Mistreatment by patients is unfortunately common in clinical medicine, including geriatric subspecialties. Despite the prevalence of this problem, there are few standardized approaches for addressing it at both interpersonal and institutional levels. The "ERASE" framework is a novel, practical approach for addressing mistreatment by patients.

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Objective: With the number of geriatric psychiatry fellows declining from a peak of 106 during 2002-2003 to 48 during 2020-2021, this study aims to investigate characteristics of the geriatric psychiatry training requirement across U.S. psychiatry residency programs and to identify specific factors which may influence residents to pursue geriatric psychiatry subspecialty training.

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Objective: The American Association for Geriatric Psychiatry (AAGP) Scholars Program was developed to recruit trainees into geriatric psychiatry fellowships and is considered a pipeline for fellowship recruitment. Nonetheless, the number of trainees entering geriatric psychiatry fellowship is declining, making it important to identify modifiable factors that may influence trainees' decisions to pursue fellowship. We analyzed survey data from Scholars Program participants to identify demographic characteristics, attitudes toward program components, and behaviors after the program that were independently associated with the decision to pursue fellowship.

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Objective: One effect of the COVID-19 pandemic is the disruption of in-person clinical experiences within geriatric psychiatry residency education. Online resources for trainees are needed to fill resultant gaps.

Methods: The American Association of Geriatric Psychiatry (AAGP) Teaching and Training Committee leadership collaborated with geriatric psychiatry experts to develop a web-based geriatric psychiatry curriculum for psychiatry residents and other learners.

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Objective: Social isolation and loneliness-common concerns in older adults-are exacerbated by the COVID-19 pandemic. To address social isolation in nursing home residents, the Yale School of Medicine Geriatrics Student Interest Group initiated a Telephone Outreach in the COVID-19 Outbreak (TOCO) Program that implements weekly phone calls with student volunteers.

Methods: Local nursing homes were contacted; recreation directors identified appropriate and interested elderly residents.

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Objective: The number of physicians trained in geriatric psychiatry is dwindling. The American Association for Geriatric Psychiatry (AAGP) developed novel educational programs designed to foster interest in the field. The objective of this study was to compare participant characteristics and perceived benefits of two AAGP educational programs for trainees: Stepping Stones (1997-2007) and the Scholars Program (2010-2016).

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Animals living in a dynamic environment must adjust their decision-making strategies through experience. To gain insights into the neural basis of such adaptive decision-making processes, we trained monkeys to play a competitive game against a computer in an oculomotor free-choice task. The animal selected one of two visual targets in each trial and was rewarded only when it selected the same target as the computer opponent.

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In a multi-agent environment, where the outcomes of one's actions change dynamically because they are related to the behavior of other beings, it becomes difficult to make an optimal decision about how to act. Although game theory provides normative solutions for decision making in groups, how such decision-making strategies are altered by experience is poorly understood. These adaptive processes might resemble reinforcement learning algorithms, which provide a general framework for finding optimal strategies in a dynamic environment.

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