Publications by authors named "Jane P Kim"

Background: It is increasingly recognised that the success of artificial intelligence-based clinical decision support (AI/CDS) tools will depend on physician and patient trust, but factors impacting patients' views on clinical care reliant on AI have been less explored.

Objective: This pilot study explores whether, and in what contexts, detail of explanation provided about AI/CDS tools impacts patients' attitudes toward the tools and their clinical care.

Methods: We designed a Sequential Multiple Assignment Randomized Trial vignette web-based survey.

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Study Objectives: Evaluate a triaged stepped-care strategy among adults 50 and older with insomnia disorder.

Methods: Participants (N=245) were classified at baseline by a Triage-Checklist. Those projected to do better if they start treatment with therapist versus digitally delivered CBT-I (tCBT-I versus dCBT-I) constituted the YES stratum (n=137); the rest constituted the NO stratum (n=108).

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Background: Innovative tools leveraging artificial intelligence (AI) and machine learning (ML) are rapidly being developed for medicine, with new applications emerging in prediction, diagnosis, and treatment across a range of illnesses, patient populations, and clinical procedures. One barrier for successful innovation is the scarcity of research in the current literature seeking and analyzing the views of AI or ML researchers and physicians to support ethical guidance.

Objective: This study aims to describe, using a qualitative approach, the landscape of ethical issues that AI or ML researchers and physicians with professional exposure to AI or ML tools observe or anticipate in the development and use of AI and ML in medicine.

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Background: As the availability and performance of artificial intelligence (AI)-based clinical decision support (CDS) systems improve, physicians and other care providers poised to be on the front lines will be increasingly tasked with using these tools in patient care and incorporating their outputs into clinical decision-making processes. Vignette studies provide a means to explore emerging hypotheses regarding how context-specific factors, such as clinical risk, the amount of information provided about the AI, and the AI result, may impact physician acceptance and use of AI-based CDS tools. To best anticipate how such factors influence the decision-making of frontline physicians in clinical scenarios involving AI decision-support tools, hypothesis-driven research is needed that enables scenario testing before the implementation and deployment of these tools.

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Objectives: We set out to describe academic machine learning (ML) researchers' ethical considerations regarding the development of ML tools intended for use in clinical care.

Materials And Methods: We conducted in-depth, semistructured interviews with a sample of ML researchers in medicine (N = 10) as part of a larger study investigating stakeholders' ethical considerations in the translation of ML tools in medicine. We used a qualitative descriptive design, applying conventional qualitative content analysis in order to allow participant perspectives to emerge directly from the data.

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Background: Cannabis use disorder (CUD) is a common and consequential disorder. When applied to the dorsolateral prefrontal cortex (DLPFC), repetitive transcranial magnetic stimulation (rTMS) reduces craving across substance use disorders and may have therapeutic clinical effects when applied in serial-sessions. The present study sought to preliminarily determine whether serial-sessions of rTMS applied to the DLPFC had a therapeutic effect in CUD.

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Background: Military spouses and partners in relationships with a heavy drinking service member report high levels of mental health concerns and consequences, which are compounded when both partners drink heavily. Military spouses and partners -termed "concerned partners" (CPs)-may be an important gateway for motivating service members (SMs) to seek care. However, CPs may first need to reduce their own drinking and improve their communication to effectively support and encourage changes for their service member partner.

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Background: Cannabis use disorder (CUD) is a common and consequential disorder. When applied to the dorsolateral prefrontal cortex (DLPFC), repetitive transcranial magnetic stimulation (rTMS) reduces craving across substance use disorders and may have a therapeutic clinical effect when applied in serial sessions. The present study sought to preliminarily determine whether serial sessions of rTMS applied to the DLPFC had a therapeutic effect in CUD.

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Article Synopsis
  • The study aimed to explore beliefs about prescription sleep medications among older adults with insomnia who are seeking cognitive behavioral therapy (CBT) for their condition.
  • Data was collected from 245 adults aged 50 and older, comparing users of sleep medications to nonusers, and analyzing predictors of beliefs about the necessity and concerns regarding these medications.
  • Despite a strong belief in the necessity of sleep medications, three-quarters of users expressed a desire to reduce their use, with perceived dependence being the most significant factor influencing this desire.
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Little is known about how individuals with and without mood disorders perceive the inherent risks and helpfulness of participating in innovative psychiatric research, or about the factors that influence their willingness to participate. We conducted an online survey with 80 individuals (self-reported mood disorder [n = 25], self-reported good health [n = 55]) recruited via MTurk. We assessed respondents' perceptions of risk and helpfulness in study vignettes associated with two innovative research projects (intravenous ketamine therapy and wearable devices), as well as their willingness to participate in these projects.

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Objective: Individuals with mental and physical disorders have been disproportionately affected by adverse health outcomes due to the COVID-19 pandemic, and yet vaccine hesitancy persists despite clear evidence of health benefits. Therefore, our study explored factors influencing willingness to receive a COVID-19 vaccine.

Methods: Individuals with mental illness (n = 332), physical illness (n = 331), and no health issues (n = 328) were recruited via Amazon Mechanical Turk.

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Research participants should be drawn as fairly as possible from the potential volunteer population. Underlying personality traits are underexplored as factors influencing research decision-making. Dispositional optimism, known to affect coping, physical health, and psychological well-being, has been minimally studied with respect to research-related attitudes.

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Cognitive behavioral therapy for insomnia (CBT-I) is an effective, non-pharmacological intervention, designated by the American College of Physicians as the first-line treatment of insomnia disorder. The current randomized controlled study uses a Hybrid-Type-1 design to compare the effectiveness and implementation potential of two approaches to delivering CBT-I in primary care. One approach offers therapy to all patients through an automated, digital CBT-I program (ONLINE-ONLY).

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Objective: Eating disorders (EDs) contribute considerably to the global burden of disease. However, most affected individuals do not receive treatment. Mobile apps present an enormous opportunity to increase access to mental healthcare services.

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This study evaluated stakeholders' perspectives regarding participation in two hypothetical neuromodulation trials focused on individuals with Alzheimer's disease and related disorders (ADRDs). Stakeholders (i.e.

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Little is known about how individuals with mood disorders view the protectiveness of research safeguards, and whether their views affect their willingness to participate in psychiatric research. We conducted an online survey with 80 individuals (self-reported mood disorder [n = 25], self-reported good health [n = 55]) recruited via MTurk. We assessed respondents' perceptions of the protectiveness of five common research safeguards, as well as their willingness to participate in research that incorporates each safeguard.

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This study assessed mothers' perspectives regarding research involvement by their children, factors that might affect perceptions of research risks, and attitudes regarding willingness to enroll children in research. Participants completed a survey on Amazon Mechanical Turk. Mothers were less inclined to enroll children in research involving procedures posing higher risk (regression coefficient = -0.

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Psychiatric researchers grapple with concerns that individuals with mental illness may be less likely to appreciate risks of research participation, particularly compared to people not suffering from mental illness. Therefore, empirical studies that directly compare the perspectives of such individuals are needed. In addition, it is important to evaluate perspectives regarding varied types of research protocols, particularly as innovative psychiatric research protocols emerge.

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Public trust in research depends on implementation of research protections. Genetic and psychiatric research may elicit "exceptionalism," the belief that these types of research deserve special protections. Genetic information has been viewed as different from other health information.

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In this study, participants with a self-reported history of depression, diabetes, or no illness underwent a simulated informed consent process for a hypothetical genetic study related to depression or diabetes. Participants completed a survey assessing their perceived understanding of the research process, perceptions of its risks and benefits, their satisfaction with the informed consent process, and their readiness to make a hypothetical enrollment decision. All participants indicated strong readiness to make an enrollment decision regarding the research characterized in the simulation.

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Despite longstanding concerns about the adequacy of human research protections in mental illness investigations, minimal work has focused on the perspectives of key stakeholders regarding these safeguards. This investigation examined the perspectives of potential research participants regarding safeguards for psychiatric genetic research. Individuals with mental illness (n = 71), first-degree family members of individuals with mental illness (n = 54), and individuals with no personal or close family history of mental illness (n = 57) provided responses to items regarding perceptions of: 1) protectiveness of a range of research safeguards in genetic research on mental illness; 2) influence of these safeguards on research participation decision-making; and 3) importance of these safeguards depending on the nature of the research (i.

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Objective: Smartphone applications (apps) for eating disorders are a promising approach to assist individuals who do not receive traditional treatment. This study examines usage characteristics, perceptions regarding the acceptability of a new self-help intervention developed for users with eating disorders, and associations between attitudes and use patterns.

Methods: 189 individuals pilot-tested a personalized app-based program, and 133 completed the required components of the pilot-test over an 8-day period.

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