The role of mentoring and coaching of healthcare professionals for digital technology adoption and implementation: A scoping review.

Objective: Mentoring and coaching practices have supported the career and skill development of healthcare professionals (HCPs); however, their role in digital technology adoption and implementation for HCPs is unknown. The objective of this scoping review was to summarize information on healthcare education programs that have integrated mentoring or coaching as a key component. Methods: The search strategy and keyword searches were developed by the project team and a research librarian. A two-stage screening process consisting of a title/abstract scan and a full-text review was conducted by two independent reviewers to determine study eligibility. Articles were included if they: (1) discussed the mentoring and/or coaching of HCPs on digital technology, including artificial intelligence, (2) described a population of HCPs at any stage of their career, and (3) were published in English. Results: A total of 9473 unique citations were screened, identifying 19 eligible articles. 11 articles described mentoring and/or coaching programs for digital technology adoption, while eigth described mentoring and/or coaching for digital technology implementation. Program participants represented a diverse range of industries (i.e., clinical, academic, education, business, and information technology). Digital technologies taught within programs included electronic health records (EHRs), ultrasound imaging, digital health informatics, and computer skills. Conclusions: This review provided a summary of the role of mentoring and/or coaching practices within digital technology education for HCPs. Future training initiatives for HCPs should consider appropriate resources, program design, mentor-learner relationship, security concerns and setting clear expectations for program participants. Future research could explore mentor/coach characteristics that would facilitate successful skill transfer.

Accelerating AI Innovation in Healthcare Through Mentorship.

The adoption of Artificial Intelligence (AI) in the Canadian healthcare system falls behind that of other countries. Socio-technological considerations such as organizational readiness and a limited understanding of the technology are a few barriers impeding its adoption. To address this need, this study implemented a five-month AI mentorship program with the primary objective of developing participants' AI toolset. The analysis of our program's effectiveness resulted in recommendations for a successful mentorship and AI development and implementation program. 12 innovators and 11 experts from diverse backgrounds were formally matched and two symposiums were integrated into the program design. 8 interviewed participants revealed positive perceptions of the program underscoring its contribution to their professional development. Recommendations for future programs include: (1) obtaining organizational commitment for each participant; (2) incorporating structural supports throughout the program; and (3) adopting a team-based mentorship approach. The findings of this study offer a foundation rooted in evidence for the formulation of policies necessary to promote the integration of AI in Canada.

Enhancing the value of digital health tools for mental health help-seeking in Canadian transitional aged youth during the pandemic: Qualitative study.

While the COVID-19 pandemic has greatly exacerbated the mental health challenges of transition-aged youth (TAY) between 17 and 29 years old, it has also led to the rapid adoption of digital tools for mental health help-seeking and treatment. However, to date, there has been limited work focusing on how this shift has impacted perceptions, needs and challenges of this population in using digital tools. The current study aims to understand their perspectives on mental health help-seeking during the pandemic and emerging issues related to digital tools (e.g., digital health equity, inclusivity). A total of 16 TAY were invited from three post-secondary institutions in the Greater Toronto Area. A total of two streams of focus groups were held and participants were invited to share their perceptions, needs and experiences. Five main themes were identified: 1) Helpfulness of a centralized resource encompassing a variety of diverse mental health supports help-seeking; 2) The impact of the shift to online mental health support on the use of informal supports; 3) Digital tool affordability and availability; 4) Importance of inclusivity for digital tools; and 5) Need for additional support for mental health seeking and digital tool navigation. Future work should examine how these needs can be addressed through new and existing digital mental health help-seeking tools for TAY.

Performance Data Advocacy for Continuing Professional Development in Health Professions.

ABSTRACT: Efforts to optimize continuing professional development (CPD) are ongoing and include advocacy for the use of clinician performance data. Several educational and quality-based frameworks support the use of performance data to achieve intended improvement outcomes. Although intuitively appealing, the role of performance data for CPD has been uncertain and its utility mainly assumed. In this Scholarly Perspective, the authors briefly review and trace arguments that have led to the conclusion that performance data are essential for CPD. In addition, they summarize and synthesize a recent and ongoing research program exploring the relationship physicians have with performance data. They draw on Collins, Onwuegbuzie, and Johnson's legitimacy model and Dixon-Woods' integrative approach to generate inferences and ways of moving forward. This interpretive approach encourages questioning or raising of assumptions about related concepts and draws on the perspectives (i.e., interpretive work) of the research team to identify the most salient points to guide future work. The authors identify 6 stimuli for future programs of research intended to support broader and better integration of performance data for CPD. Their aims are to contribute to the discourse on data advocacy for CPD by linking conceptual, methodologic, and analytic processes and to stimulate discussion on how to proceed on the issue of performance data for CPD purposes. They hope to move the field from a discussion on the utility of data for CPD to deeper integration of relevant conceptual frameworks.

The Adoption of AI in Mental Health Care-Perspectives From Mental Health Professionals: Qualitative Descriptive Study.

BACKGROUND: Artificial intelligence (AI) is transforming the mental health care environment. AI tools are increasingly accessed by clients and service users. Mental health professionals must be prepared not only to use AI but also to have conversations about it when delivering care. Despite the potential for AI to enable more efficient and reliable and higher-quality care delivery, there is a persistent gap among mental health professionals in the adoption of AI. OBJECTIVE: A needs assessment was conducted among mental health professionals to (1) understand the learning needs of the workforce and their attitudes toward AI and (2) inform the development of AI education curricula and knowledge translation products. METHODS: A qualitative descriptive approach was taken to explore the needs of mental health professionals regarding their adoption of AI through semistructured interviews. To reach maximum variation sampling, mental health professionals (eg, psychiatrists, mental health nurses, educators, scientists, and social workers) in various settings across Ontario (eg, urban and rural, public and private sector, and clinical and research) were recruited. RESULTS: A total of 20 individuals were recruited. Participants included practitioners (9/20, 45% social workers and 1/20, 5% mental health nurses), educator scientists (5/20, 25% with dual roles as professors/lecturers and researchers), and practitioner scientists (3/20, 15% with dual roles as researchers and psychiatrists and 2/20, 10% with dual roles as researchers and mental health nurses). Four major themes emerged: (1) fostering practice change and building self-efficacy to integrate AI into patient care; (2) promoting system-level change to accelerate the adoption of AI in mental health; (3) addressing the importance of organizational readiness as a catalyst for AI adoption; and (4) ensuring that mental health professionals have the education, knowledge, and skills to harness AI in optimizing patient care. CONCLUSIONS: AI technologies are starting to emerge in mental health care. Although many digital tools, web-based services, and mobile apps are designed using AI algorithms, mental health professionals have generally been slower in the adoption of AI. As indicated by this study's findings, the implications are 3-fold. At the individual level, digital professionals must see the value in digitally compassionate tools that retain a humanistic approach to care. For mental health professionals, resistance toward AI adoption must be acknowledged through educational initiatives to raise awareness about the relevance, practicality, and benefits of AI. At the organizational level, digital professionals and leaders must collaborate on governance and funding structures to promote employee buy-in. At the societal level, digital and mental health professionals should collaborate in the creation of formal AI training programs specific to mental health to address knowledge gaps. This study promotes the design of relevant and sustainable education programs to support the adoption of AI within the mental health care sphere.

A Qualitative Study to Understand the Cultural Factors That Influence Clinical Data Use for Continuing Professional Development.

INTRODUCTION: The use of data to inform lifelong learning has become increasingly important in continuing professional development (CPD) practice. Despite the potential benefits of data-driven learning, our understanding of how physicians engage in data-informed learning activities, particularly for CPD, remains unclear and warrants further study. The purpose of this study was to explore how physicians perceive cultural factors (individual, organizational, and systemic) that influence the use of clinical data to inform lifelong learning and self-initiated CPD activities. METHODS: This qualitative study is part of an explanatory sequential mixed-methods study examining data-informed learning. Participants were psychiatrists and general surgeons from Canada and the United States. Recruitment occurred between April 2019 and November 2019, and the authors conducted semistructured telephone interviews between May 2019 and November 2019. The authors performed thematic analysis using an iterative, inductive method of constant comparative analysis. RESULTS: The authors interviewed 28 physicians: 17 psychiatrists (61%) and 11 general surgeons (39%). Three major themes emerged from the continuous, iterative analysis of interview transcripts: (1) a strong relationship between data and trust, (2) a team-based approach to data-informed learning for practice improvement, and (3) a need for organizational support and advocacy to put data into practice. CONCLUSION: Building trust, taking a team-based approach, and engaging multiple stakeholders, such as data specialists and organizational leadership, may significantly improve the use of data-informed learning. The results are situated in the existing literature, and opportunities for future research are summarized.

Why are Patient Portals Important in the Age of COVID-19? Reflecting on Patient and Team Experiences From a Toronto Hospital Network.

The COVID-19 pandemic has changed how care is being delivered in Canada. With conventional in-person care being transitioned to virtual care, the approach that patients are able to engage and access their care has dramatically changed. At the University Health Network (UHN), which is Canada's largest academic and teaching hospital network, we expanded the myUHN Patient Portal in 2017 after its early adopter phase to enable patients and family members to view parts of their clinical notes and test results. As the pandemic progressed, we observed high adoption of myUHN to support virtual care and rapid delivery of COVID-19 test results in real time. In this article, we share and reflect on our experience of adapting myUHN to support the demands of the pandemic, including portal adoption outcomes across multiple waves of the pandemic, the impetus for increased patient experience staff dedicated for myUHN support, and patients' perceptions of the value of the portal and virtual care. Based on these reflections, we outline our perspectives on the future role of patient portals to support patient care and experience in a post-pandemic environment.

Exploring Systemic Influences on Data-Informed Learning: Document Review of Policies, Procedures, and Legislation from Canada and the United States.

INTRODUCTION: Despite the support for and benefits of data-driven learning, physician engagement is variable. This study explores systemic influences of physician use of data for performance improvement in continuing professional development (CPD) by analyzing and interpreting data sources from organizational and institutional documents. METHODS: The document analysis is the third phase of a mixed-methods explanatory sequential study examining cultural factors that influence data-informed learning. A gray literature search was conducted for organizations both in Canada and the United States. The analysis contains nonparticipant observations from professional learning bodies and medical specialty organizations with established roles within the CPD community known to lead and influence change in CPD. RESULTS: Sixty-two documents were collected from 20 Canadian and American organizations. The content analysis identified the following: (1) a need to advocate for data-informed self-assessment and team-based learning strategies; (2) privacy and confidentiality concerns intersect at the point of patient data collection and physician-generated outcomes and need to be acknowledged; (3) a nuanced data strategy approach for each medical specialty is needed. DISCUSSION: This analysis broadens our understanding of system-level factors that influence the extent to which health information custodians and physicians are motivated to engage with data for learning.

What are we doing to support informal caregivers? A scoping review of caregiver education programs in cancer care.

OBJECTIVES: The cancer system is experiencing a rise in cancer prevalence, a workforce shortage, and is resource-stretched. In this environment, informal caregivers (unpaid family caregivers of cancer patients) are required to take on expanded care roles and experience the debilitating effects of caregiver burden. Education programs are increasingly being developed to support caregivers. The aim of this review is to summarize what is known about these programs. METHODS: A scoping review was conducted from May 2019 to January 2020. The literature search yielded 34,906 articles. RESULTS: 119 articles were included, and ninety-two (77%) were focused on in-person psychoeducational programs. CONCLUSION: Most caregiver programs have a unidimensional focus on psychoeducational training, demonstrating a need for more comprehensive programming to address the full spectrum of caregiver needs. PRACTICE IMPLICATIONS: Clinicians and educators must collaborate to create accessible, equitable education programs that comprehensibly address the needs of unpaid family caregivers beyond addressing psychological aspects of cancer care. This will ensure that a broader range of patients and caregivers are equipped with the knowledge and skills needed to cope with a cancer diagnosis, navigate the health system and to maintain their quality of life.

Artificial Intelligence Education Programs for Health Care Professionals: Scoping Review.

BACKGROUND: As the adoption of artificial intelligence (AI) in health care increases, it will become increasingly crucial to involve health care professionals (HCPs) in developing, validating, and implementing AI-enabled technologies. However, because of a lack of AI literacy, most HCPs are not adequately prepared for this revolution. This is a significant barrier to adopting and implementing AI that will affect patients. In addition, the limited existing AI education programs face barriers to development and implementation at various levels of medical education. OBJECTIVE: With a view to informing future AI education programs for HCPs, this scoping review aims to provide an overview of the types of current or past AI education programs that pertains to the programs' curricular content, modes of delivery, critical implementation factors for education delivery, and outcomes used to assess the programs' effectiveness. METHODS: After the creation of a search strategy and keyword searches, a 2-stage screening process was conducted by 2 independent reviewers to determine study eligibility. When consensus was not reached, the conflict was resolved by consulting a third reviewer. This process consisted of a title and abstract scan and a full-text review. The articles were included if they discussed an actual training program or educational intervention, or a potential training program or educational intervention and the desired content to be covered, focused on AI, and were designed or intended for HCPs (at any stage of their career). RESULTS: Of the 10,094 unique citations scanned, 41 (0.41%) studies relevant to our eligibility criteria were identified. Among the 41 included studies, 10 (24%) described 13 unique programs and 31 (76%) discussed recommended curricular content. The curricular content of the unique programs ranged from AI use, AI interpretation, and cultivating skills to explain results derived from AI algorithms. The curricular topics were categorized into three main domains: cognitive, psychomotor, and affective. CONCLUSIONS: This review provides an overview of the current landscape of AI in medical education and highlights the skills and competencies required by HCPs to effectively use AI in enhancing the quality of care and optimizing patient outcomes. Future education efforts should focus on the development of regulatory strategies, a multidisciplinary approach to curriculum redesign, a competency-based curriculum, and patient-clinician interaction.

Accelerating the Appropriate Adoption of Artificial Intelligence in Health Care: Protocol for a Multistepped Approach.

BACKGROUND: Significant investments and advances in health care technologies and practices have created a need for digital and data-literate health care providers. Artificial intelligence (AI) algorithms transform the analysis, diagnosis, and treatment of medical conditions. Complex and massive data sets are informing significant health care decisions and clinical practices. The ability to read, manage, and interpret large data sets to provide data-driven care and to protect patient privacy are increasingly critical skills for today's health care providers. OBJECTIVE: The aim of this study is to accelerate the appropriate adoption of data-driven and AI-enhanced care by focusing on the mindsets, skillsets, and toolsets of point-of-care health providers and their leaders in the health system. METHODS: To accelerate the adoption of AI and the need for organizational change at a national level, our multistepped approach includes creating awareness and capacity building, learning through innovation and adoption, developing appropriate and strategic partnerships, and building effective knowledge exchange initiatives. Education interventions designed to adapt knowledge to the local context and address any challenges to knowledge use include engagement activities to increase awareness, educational curricula for health care providers and leaders, and the development of a coaching and practice-based innovation hub. Framed by the Knowledge-to-Action framework, we are currently in the knowledge creation stage to inform the curricula for each deliverable. An environmental scan and scoping review were conducted to understand the current state of AI education programs as reported in the academic literature. RESULTS: The environmental scan identified 24 AI-accredited programs specific to health providers, of which 11 were from the United States, 6 from Canada, 4 from the United Kingdom, and 3 from Asian countries. The most common curriculum topics across the environmental scan and scoping review included AI fundamentals, applications of AI, applied machine learning in health care, ethics, data science, and challenges to and opportunities for using AI. CONCLUSIONS: Technologies are advancing more rapidly than organizations, and professionals can adopt and adapt to them. To help shape AI practices, health care providers must have the skills and abilities to initiate change and shape the future of their discipline and practices for advancing high-quality care within the digital ecosystem. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/30940.

Delivery of Compassionate Mental Health Care in a Digital Technology-Driven Age: Scoping Review.

BACKGROUND: Compassion is a vital component to the achievement of positive health outcomes, particularly in mental health care. The rise of digital technologies may influence the delivery of compassionate care, and thus this relationship between compassion and digital health care needs to be better understood. OBJECTIVE: This scoping review aimed to identify existing digital technologies being used by patients and health professionals in the delivery of mental health care, understand how digital technologies are being used in the delivery of compassionate mental health care, and determine the facilitators of and barriers to digital technology use among patients and health professionals in the delivery of compassionate mental health care. METHODS: We conducted this scoping review through a search of Cumulative Index to Nursing and Allied Health Literature, Medical Literature Analysis and Retrieval System Online (MEDLINE), MEDLINE In-Process and EPub Ahead of Print, PsycINFO, and Web of Science for articles published from 1990 to 2019. RESULTS: Of the 4472 articles screened, 37 articles were included for data extraction. Telemedicine was the most widely used technology by mental health professionals. Digital technologies were described as facilitating compassionate care and were classified using a conceptual model to identify each digital intersection with compassionate care. Facilitators of and barriers to providing compassionate care through digital technology were identified, including increased safety for providers, health care professional perceptions and abilities, and the use of picture-in-picture feedback to evaluate social cues. CONCLUSIONS: Implementing digital technology into mental health care can improve the current delivery of compassionate care and create novel ways to provide compassion. However, as this is a new area of study, mental health professionals and organizations alike should be mindful that compassionate human-centered care is maintained in the delivery of digital health care. Future research could develop tools to facilitate and evaluate the enactment of compassion within digital health care.

Homelessness, Cancer and Health Literacy: A Scoping Review.

Within Canada, the homeless have four times the cancer rates of the general population, lower rates of screening, later stage diagnosis, and poorer outcomes. In the United States, disparities in cancer burden also exist between the homeless and the housed. For example, lung cancer deaths occur at double the rate for the homeless compared with the housed. Cancer care is complex and requires many high-order health literacy skills to obtain and understand the information needed to make informed decisions about cancer care. A scoping review was conducted to summarize what is known about, the homeless, cancer and health literacy. The literature search yielded 1,124 articles. Of these, 33 articles met eligibility criteria. Results suggest that low health literacy may have a significant effect on access to cancer screening and care among the homeless population.

Evaluation of an Educational Whiteboard Video to Introduce Fertility Preservation to Female Adolescents and Young Adults With Cancer.

PURPOSE: Fertility is an important issue for adolescents and young adults with cancer facing potential infertility. Egg cryopreservation options exist, but information is sometimes overwhelming. We evaluated a fertility preservation educational video and assessed patient and family knowledge and impressions at pre- and post-video timepoints. METHODS: We developed a whiteboard video to explain egg cryopreservation to patients and families. The video was evaluated on the basis of patient education best practices (readability, understandability, actionability). Participants were recruited using convenience sampling in oncology clinics. They completed questionnaires before and after watching to assess knowledge and interest. Inclusion criteria were patients age 13-39 years and minimum 1 month from diagnosis. Descriptive statistics, correlation analyses, and mean comparisons were conducted. RESULTS: The video script read at a grade 8 reading level. Average understandability and actionability scores were below the acceptable standard. We recruited 108 patients (mean age, 27 years) and 39 caregivers/partners. Patients' knowledge about fertility preservation increased after viewing the video. Interest was high before and after, and satisfaction was high for both patients and caregivers. Participants appreciated information on process, procedure, and delivery but desired more information on logistics, including cost. CONCLUSION: A targeted patient education video about fertility preservation options can build knowledge and encourage discussions about infertility. The video can be used as a model for videos on related topics to provide accurate information in a youth-friendly medium; however, following patient education best practices for readability, understandability, and actionability may increase video effectiveness. Future research should assess how audiovisual patient education material affects patient behavior.

Examining Associations Between Physician Data Utilization for Practice Improvement and Lifelong Learning.

INTRODUCTION: Practice data can inform the selection of educational strategies; however, it is not widely used, even when available. This study's purpose was to determine factors that influence physician engagement with practice data to advance competence and drive practice change. METHODS: A practice-based, pan-Canadian survey was administered to three physician subspecialties: psychiatrists (Psy), radiation oncologists (RO), and general surgeons (GS). The survey was distributed through national specialty society membership lists. The survey assessed factors that influence the use of data for practice improvement and orientation to lifelong learning, using the Jefferson Scale of Physician Lifelong Learning (JeffSPLL). Linear regression was used to model the relationship between the outcome variable frequency of data use and independent predictors of continuous learning to improving practice. RESULTS: A total of 305 practicing physicians (Psy = 203, RO = 53, GS = 49) participated in this study. Most respondents used data for practice improvement (n = 177, 61.7%; Psy = 115, 40.1%; RO = 35; 12.2%; GS = 27, 9.4%) and had high orientation to lifelong learning (JeffSPLL mean scores: Psy = 47.4; RO = 43.5; GS = 45.1; Max = 56). Linear regression analysis identified significant predictors of data use in practice being: frequency of assessing learning needs, helpfulness of data to improve practice, and frequency to develop learning plans. Together, these predictors explained 42.9% of the variance in physicians' orientation toward integrating accessible data into practice (R = 0.426, P < .001). DISCUSSION: This study demonstrates an association between practice data use and perceived data utility, reflection on learning needs and learning plan development. Implications for this work include process development for data-informed action planning for practice improvement for physicians.

Evaluation of the scope, quality, and health literacy demand of Internet-based anal cancer information.

OBJECTIVES: As there is a dearth of information about anal cancer available at cancer centers, patients often use the Internet to search for information. This is problematic, however, because the quality of information on the Internet is variable, and the health literacy demanded is higher than the average patrons' capacity. The purposes of this study were to (1) determine the most common websites with anal cancer consumer health information, (2) identify the supportive care needs that each website addresses, and (3) evaluate the websites' quality and health literacy demand. METHODS: Medical Subject Headings (MeSH) entry terms for "Anus Neoplasms" were used in Google Canada to identify websites. Seven domains of supportive care needs were defined using Fitch's Supportive Care Framework for Cancer Care. Website quality was evaluated using the DISCERN tool. Health literacy demand was assessed using readability calculators, where best practice dictates a grade 6 or lower, and the Patient Education Material Assessment Tool (PEMAT) that computes a percentage score in 2 domains, understandability and actionability, with 80% being an acceptable score. RESULTS: Eighteen unique websites were evaluated. One website met health literacy best practices and had a "good" quality rating. Most websites addressed only 1 supportive care domain (61%), were of "fair" quality (67%), had readability scores higher than grade 6 (89%), and had PEMAT scores ranging from 41%-92% for understandability and 0-70% for actionability. CONCLUSION: The information gaps on anal cancer websites warrant a need for more health literate anal cancer health information on the Internet.

Informational needs of brain metastases patients and their caregivers.

BACKGROUND: In response to a dearth of formal health information targeted towards patients with brain metastases and their caregivers, a formal informational and supportive care needs assessment was conducted. METHODS: Brain metastases patients and caregivers who attended a clinic focused on the treatment of brain metastases at a tertiary medical center completed a self-report survey to assess informational needs across 6 domains: medical, physical, practical, social, emotional, and spiritual informational needs. Univariate and multivariate analyses of associations between variables was conducted using linear regression models. RESULTS: A total of 109 patients and 77 caregivers participated. Patients and caregivers both prioritized medical and physical informational domains, with a large focus on symptoms and side-effect profiles, significance of brain metastases locations and their implications, available treatment options and their risks and benefits, prognoses and follow-ups if treatment is completed, and end-of-life experiences and supports. One-on-one counseling was preferred by both caregivers and patients for these domains, as well as for practical informational needs; while patients preferred pamphlets to address social, emotional and spiritual informational needs, caregivers preferred one-on-one counseling for the former two domains as well. CONCLUSIONS: Brain metastases patients and their caregivers prioritize medical and physical informational needs, with one-on-one counseling and pamphlets being the most preferred modalities for information provision. Further exploration regarding existing non-validated resources and the development of tailored resources to address the unique needs of these patient and caregiver populations are warranted.

Delivery of compassionate mental health care in a digital technology-driven age: protocol for a scoping review.

INTRODUCTION: As digital technologies become an integral part of mental health care delivery, concerns have risen regarding how this technology may detract from health professionals' ability to provide compassionate care. To maintain and improve the quality of care for people with mental illness, there is a need to understand how to effectively incorporate technologies into the delivery of compassionate mental health care. The objectives of this scoping review are to: (1) identify the digital technologies currently being used among patients and health professionals in the delivery of mental health care; (2) determine how these digital technologies are being used in the context of the delivery of compassionate care and (3) uncover the barriers to, and facilitators of, digital technology-driven delivery of compassionate mental health care. METHODS AND ANALYSIS: Searches were conducted of five databases, consisting of relevant articles published in English between 1990 and 2019. Identified articles will be independently screened for eligibility by two reviewers, first at a title and abstract stage, and then at a full-text level. Data will be extracted and compiled from eligible articles into a data extraction chart. Information collected will include a basic overview of the publication including the article title, authors, year of publication, country of origin, research design and research question addressed. On completion of data synthesis, the authors will conduct a consultation phase with relevant experts in the field. ETHICS AND DISSEMINATION: Ethical approval is not required for this scoping review. With regards to the dissemination plan, principles identified from the relevant articles may be presented at conferences and an article will be published in an academic journal with study results. The authors also intend to engage interested mental health professionals, health professional educators and patients in a discussion about the study findings and implications for the future.

Alcohol Use, High Risk Behaviors, and Experiences of Discrimination Among Transgender Women in the Dominican Republic.

Objectives: This study examines associations between alcohol use, high risk sexual behaviors, and experiences of stigma among transgender women across the Dominican Republic. Data from the 2015 Transgender Health Needs Study were analyzed using bivariate analyses (N = 291). Results: High rates of stigma, verbal abuse, alcohol use, and sex work are found and are associated with each other. Almost 45% of regular alcohol users are engaging in sex work (43.6%), compared with 31.1% of the non-regular alcohol users (χ2=4.82, p < .05). Having sex under the influence of alcohol is statistically associated with high risk behaviors, such as engaging in sex work, sometimes or never using a condom when receiving anal sex, and higher numbers of sexual partners. Furthermore, transgender women who have had sex under the influence of alcohol report statistically significantly higher levels of verbal abuse, discrimination, and levels of perceived transgender stigma. Conclusions/Importance: Findings suggest that although anti-discrimination laws exist, policies may not protect transgender women from experiencing stigma and discrimination at work, potentially forcing them to seek alternative careers and engage in behaviors that expose them to greater personal risk and harm. This intersection of factors may indicate a notable public health gap in transgender health in the Dominican Republic.