Trustworthiness matters: Building equitable and ethical science.

Trustworthy science requires research practices that center issues of ethics, equity, and inclusion. We announce the Leadership in the Equitable and Ethical Design (LEED) of Science, Technology, Mathematics, and Medicine (STEM) initiative to create best practices for integrating ethical expertise and fostering equitable collaboration.

Words matter: The language of difference in human genetics.

Diversity, equity, and inclusion efforts in academia are leading publishers and journals to re-examine their use of terminology for commonly used scientific variables. This reassessment of language is particularly important for human genetics, which is focused on identifying and explaining differences between individuals and populations. Recent guidance on the use of terms and symbols in clinical practice, research, and publications is beginning to acknowledge the ways that language and concepts of difference can be not only inaccurate but also harmful. To stop perpetuating historical wrongs, those of us who conduct and publish genetic research and provide genetic health care must understand the context of the terms we use and why some usages should be discontinued. In this article, we summarize critiques of terminology describing disability, sex, gender, race, ethnicity, and ancestry in research publications, laboratory reports, diagnostic codes, and pedigrees. We also highlight recommendations for alternative language that aims to make genetics more inclusive, rigorous, and ethically sound. Even though norms of acceptable language use are ever changing, it is the responsibility of genetics professionals to uncover biases ingrained in professional practice and training and to continually reassess the words we use to describe human difference because they cause harm to patients.

Epistemic Rights and Responsibilities of Digital Simulacra for Biomedicine.

Big data and AI have enabled digital simulation for prediction of future health states or behaviors of specific individuals, populations or humans in general. "Digital simulacra" use multimodal datasets to develop computational models that are virtual representations of people or groups, generating predictions of how systems evolve and react to interventions over time. These include digital twins and virtual patients for in silico clinical trials, both of which seek to transform research and health care by speeding innovation and bridging the epistemic gap between population-based research findings and their application to the individual. Nevertheless, digital simulacra mark a major milestone on a trajectory to embrace the epistemic culture of data science and a potential abandonment of medical epistemological concepts of causality and representation. In doing so, "data first" approaches potentially shift moral attention from actual patients and principles, such as equity, to simulated patients and patient data.

Latinx attitudes, barriers, and experiences with genetic counseling and testing: A systematic review.

As genetics is increasingly used across clinical settings, there is a need to understand the impact and experiences of diverse patients. This review systematically examined research literature on Latinx experiences with genetic counseling and genetic testing (GC/GT) in the United States, synthesizing key themes and knowledge gaps pertaining to both patient experience and hypothetical scenarios. Findings were based on a systematic search, inclusion, and thematic analysis of 81 empirical peer-reviewed articles published from January 1990 to July 2019 pertaining to Latinx populations and GC/GT. Studies most commonly addressed Latinas' perspectives on GC/GT in prenatal settings or for hereditary breast and ovarian cancer (HBOC). Costs, referrals, and communication were significant barriers to accessing genetic services for many Latinx patients, particularly those with low English proficiency (LEP). Studies highlighted difficulties accessing and communicating in healthcare settings, and how medical context and prior experience with healthcare workers and institutions influenced GC/GT decision-making. Providers' implicit biases about Latinx patients negatively impacted their care and impeded communication. Despite low awareness of cancer GT, Latinx patients often reported interest in learning more about GC/GT or unmet needs for GT discussion and provider involvement. This systematic review identified areas where providers can take action to improve Latinx experiences with GC/GT. Clinicians should elicit and respond to patient preferences about shared decision-making. For patients with low numeracy or LEP, providers should consider tailored educational and communication techniques. Most studies focused on HBOC and prenatal testing, and Latinx patients are heterogeneous, leaving many research questions about Latinx experience with GT/GC in other clinical areas.

Developer Perspectives on Potential Harms of Machine Learning Predictive Analytics in Health Care: Qualitative Analysis.

BACKGROUND: Machine learning predictive analytics (MLPA) is increasingly used in health care to reduce costs and improve efficacy; it also has the potential to harm patients and trust in health care. Academic and regulatory leaders have proposed a variety of principles and guidelines to address the challenges of evaluating the safety of machine learning-based software in the health care context, but accepted practices do not yet exist. However, there appears to be a shift toward process-based regulatory paradigms that rely heavily on self-regulation. At the same time, little research has examined the perspectives about the harms of MLPA developers themselves, whose role will be essential in overcoming the "principles-to-practice" gap. OBJECTIVE: The objective of this study was to understand how MLPA developers of health care products perceived the potential harms of those products and their responses to recognized harms. METHODS: We interviewed 40 individuals who were developing MLPA tools for health care at 15 US-based organizations, including data scientists, software engineers, and those with mid- and high-level management roles. These 15 organizations were selected to represent a range of organizational types and sizes from the 106 that we previously identified. We asked developers about their perspectives on the potential harms of their work, factors that influence these harms, and their role in mitigation. We used standard qualitative analysis of transcribed interviews to identify themes in the data. RESULTS: We found that MLPA developers recognized a range of potential harms of MLPA to individuals, social groups, and the health care system, such as issues of privacy, bias, and system disruption. They also identified drivers of these harms related to the characteristics of machine learning and specific to the health care and commercial contexts in which the products are developed. MLPA developers also described strategies to respond to these drivers and potentially mitigate the harms. Opportunities included balancing algorithm performance goals with potential harms, emphasizing iterative integration of health care expertise, and fostering shared company values. However, their recognition of their own responsibility to address potential harms varied widely. CONCLUSIONS: Even though MLPA developers recognized that their products can harm patients, public, and even health systems, robust procedures to assess the potential for harms and the need for mitigation do not exist. Our findings suggest that, to the extent that new oversight paradigms rely on self-regulation, they will face serious challenges if harms are driven by features that developers consider inescapable in health care and business environments. Furthermore, effective self-regulation will require MLPA developers to accept responsibility for safety and efficacy and know how to act accordingly. Our results suggest that, at the very least, substantial education will be necessary to fill the "principles-to-practice" gap.

Taking an antiracist posture in scientific publications in human genetics and genomics.

From its earliest days, the field of human genetics has had a complex, and at times troubling, connection with racist ideologies. Although the modern field of human genetics and genomics has come a long way from those earlier errors, systemic racism remains ingrained in its institutions and practices. Although a variety of efforts are needed to excise systemic racism, we focus in this commentary on the work that must be done in scientific publishing in genetics and genomics. We propose eight principles that are both scientifically grounded and antiracist that we hope will serve as a foundation for the development of policies by publishers and editorial boards that address the unique needs of the field of genetics and genomics. Publishers and journals must go beyond mere policies, however. Editors and reviewers will need training on these policies and principles, and will benefit from resources like rubrics that can be used for evaluating the adherence of submissions to these guidelines.

Genetic counseling and testing for Asian Americans: a systematic review.

PURPOSE: Asian Americans have been understudied in the literature on genetic and genomic services. The current study systematically identified, evaluated, and summarized findings from relevant qualitative and quantitative studies on genetic health care for Asian Americans. METHODS: A search of five databases (1990 to 2018) returned 8,522 unique records. After removing duplicates, abstract/title screening, and full text review, 47 studies met inclusion criteria. Data from quantitative studies were converted into "qualitized data" and pooled together with thematic data from qualitative studies to produce a set of integrated findings. RESULTS: Synthesis of results revealed that (1) Asian Americans are under-referred but have high uptake for genetic services, (2) linguistic/communication challenges were common and Asian Americans expected more directive genetic counseling, and (3) Asian Americans' family members were involved in testing decisions, but communication of results and risk information to family members was lower than other racial groups. CONCLUSION: This study identified multiple barriers to genetic counseling, testing, and care for Asian Americans, as well as gaps in the research literature. By focusing on these barriers and filling these gaps, clinical genetic approaches can be tailored to meet the needs of diverse patient groups, particularly those of Asian descent.

A Typology of Existing Machine Learning-Based Predictive Analytic Tools Focused on Reducing Costs and Improving Quality in Health Care: Systematic Search and Content Analysis.

BACKGROUND: Considerable effort has been devoted to the development of artificial intelligence, including machine learning-based predictive analytics (MLPA) for use in health care settings. The growth of MLPA could be fueled by payment reforms that hold health care organizations responsible for providing high-quality, cost-effective care. Policy analysts, ethicists, and computer scientists have identified unique ethical and regulatory challenges from the use of MLPA in health care. However, little is known about the types of MLPA health care products available on the market today or their stated goals. OBJECTIVE: This study aims to better characterize available MLPA health care products, identifying and characterizing claims about products recently or currently in use in US health care settings that are marketed as tools to improve health care efficiency by improving quality of care while reducing costs. METHODS: We conducted systematic database searches of relevant business news and academic research to identify MLPA products for health care efficiency meeting our inclusion and exclusion criteria. We used content analysis to generate MLPA product categories and characterize the organizations marketing the products. RESULTS: We identified 106 products and characterized them based on publicly available information in terms of the types of predictions made and the size, type, and clinical training of the leadership of the companies marketing them. We identified 5 categories of predictions made by MLPA products based on publicly available product marketing materials: disease onset and progression, treatment, cost and utilization, admissions and readmissions, and decompensation and adverse events. CONCLUSIONS: Our findings provide a foundational reference to inform the analysis of specific ethical and regulatory challenges arising from the use of MLPA to improve health care efficiency.

Use of Korean dramas to facilitate precision mental health understanding and discussion for Asian Americans.

Precision mental health holds great potential for revolutionizing care and reducing the burden of mental illness. All races and ethnicities such as Asian Americans, the fastest growing racial group in the United States (U.S.), need to be engaged in precision mental health research. Owing to its global popularity, Korean drama ('K-drama') television shows may be an effective educational tool to increase precision mental health knowledge, attitudes and behaviors among Asian Americans. This qualitative study examined the participants' perspectives about and acceptance of using K-dramas to educate and engage Asian Americans about precision mental health. Twelve workshops were conducted in English, Vietnamese and Korean with a convenience sample in the San Francisco Bay Area in the U.S. (n = 122). Discussions were coded for themes. Findings revealed that all language groups reported positive reactions to using K-dramas to learn about precision health, genetics and mental health. Overall, participants shared that they learned about topics that are not generally talked about (e.g. precision health; genetic testing; mental health), from other people's perspectives, and the importance of mental health. Participants expressed how much they enjoyed the workshop, how they felt relieved due to the workshop, thought the workshop was interesting, and had an opportunity for self-reflection/healing. This pilot test demonstrated that K-dramas has promise to be used as a health educational tool in a workshop format focused on mental health among a diverse group of Asian Americans. Given the widespread access to K-dramas, they present a scalable opportunity for increasing awareness about specific health topics.

"I don't want to be Henrietta Lacks": diverse patient perspectives on donating biospecimens for precision medicine research.

PURPOSE: To determine whether patients distinguish between biospecimens and electronic health records (EHRs) when considering research participation to inform research protections. METHODS: We conducted 20 focus groups with individuals who identified as African American, Hispanic, Chinese, South Asian, and non-Hispanic white on the collection of biospecimens and EHR data for research. RESULTS: Our study found that many participants did not distinguish between biospecimens and EHR data. However, some participants identified specific concerns about biospecimens. These included the need for special care and respect for biospecimens due to enduring connections between the body and identity; the potential for unacceptable future research, specifically the prospect of human cloning; heightened privacy risks; and the potential for unjust corporate profiteering. Among those who distinguished biospecimens from EHR data, many supported separate consent processes and would limit their own participation to EHR data. CONCLUSION: Considering that the potential misuse of EHR data is as great as, if not greater than, for biospecimens, more research is needed to understand how attitudes differ between biospecimens and EHR data across diverse populations. Such research should explore mechanisms beyond consent that can address diverse values, perspectives, and misconceptions about sources of patient information to build trust in research relationships.

Developing a conceptual, reproducible, rubric-based approach to consent and result disclosure for genetic testing by clinicians with minimal genetics background.

PURPOSE: In response to genetic testing being widely ordered by nongenetics clinicians, the Consent and Disclosure Recommendations (CADRe) Workgroup of the Clinical Genome Resource (ClinGen; clinicalgenome.org ) developed guidance to facilitate communication about genetic testing and efficiently improve the patient experience. Considering ethical, legal, and social implications, and medical factors, CADRe developed and pilot tested two rubrics addressing consent for genetic testing and results disclosure. The CADRe rubrics allow for adjusting the communication approach based on circumstances specific to patients and ordering clinicians. METHODS: We present results of a formative survey of 66 genetics clinicians to assess the consent rubric for nine genes (MLH1, CDH1, TP53, GJB2, OTC; DMD, HTT, and CYP2C9/VKORC1). We also conducted interviews and focus groups with family and patient stakeholders (N = 18), nongenetics specialists (N = 27), and genetics clinicians (N = 32) on both rubrics. RESULTS: Formative evaluation of the CADRe rubrics suggests key factors on which to make decisions about consent and disclosure discussions for a "typical" patient. CONCLUSION: We propose that the CADRe rubrics include the primary issues necessary to guide communication recommendations, and are ready for pilot testing by nongenetics clinicians. Consultation with genetics clinicians can be targeted toward more complex or intensive consent and disclosure counseling.

The Emergence of Clinical Research Ethics Consultation: Insights From a National Collaborative.

The increasing complexity of human subjects research and its oversight has prompted researchers, as well as institutional review boards (IRBs), to have a forum in which to discuss challenging or novel ethical issues not fully addressed by regulations. Research ethics consultation (REC) services provide such a forum. In this article, we rely on the experiences of a national Research Ethics Consultation Collaborative that collected more than 350 research ethics consultations in a repository and published 18 challenging cases with accompanying ethical commentaries to highlight four contexts in which REC can be a valuable resource. REC assists: 1) investigators before and after the regulatory review; 2) investigators, IRBs, and other research administrators facing challenging and novel ethical issues; 3) IRBs and investigators with the increasing challenges of informed consent and risk/benefit analysis; and 4) in providing flexible and collaborative assistance to overcome study hurdles, mediate conflicts within a team, or directly engage with research participants. Institutions that have established, or plan to establish, REC services should work to raise the visibility of their service and engage in open communication with existing clinical ethics consult services as well as the IRB. While the IRB system remains the foundation for the ethical review of research, REC can be a valuable service for investigators, regulators, and research participants aligned with the goal of supporting ethical research.

Beyond Consent: Building Trusting Relationships With Diverse Populations in Precision Medicine Research.

With the growth of precision medicine research on health data and biospecimens, research institutions will need to build and maintain long-term, trusting relationships with patient-participants. While trust is important for all research relationships, the longitudinal nature of precision medicine research raises particular challenges for facilitating trust when the specifics of future studies are unknown. Based on focus groups with racially and ethnically diverse patients, we describe several factors that influence patient trust and potential institutional approaches to building trustworthiness. Drawing on these findings, we suggest several considerations for research institutions seeking to cultivate long-term, trusting relationships with patients: (1) Address the role of history and experience on trust, (2) engage concerns about potential group harm, (3) address cultural values and communication barriers, and (4) integrate patient values and expectations into oversight and governance structures.

A randomized study of multimedia informational aids for research on medical practices: Implications for informed consent.

BACKGROUND/AIMS: Participant understanding is a key element of informed consent for enrollment in research. However, participants often do not understand the nature, risks, benefits, or design of the studies in which they take part. Research on medical practices, which studies standard interventions rather than new treatments, has the potential to be especially confusing to participants because it is embedded within usual clinical care. Our objective in this randomized study was to compare the ability of a range of multimedia informational aids to improve participant understanding in the context of research on medical practices. METHODS: We administered a web-based survey to members of a proprietary online panel sample selected to match national US demographics. Respondents were randomized to one of five arms: four content-equivalent informational aids (animated videos, slideshows with voice-over, comics, and text) and one no-intervention control. We measured knowledge of research on medical practices using a summary knowledge score from 10 questions based on the content of the informational aids. We used analysis of variance and paired t-tests to compare knowledge scores between arms. RESULTS: There were 1500 completed surveys (300 in each arm). Mean knowledge scores were highest for the slideshows with voice-over (65.7%), followed by the animated videos (62.7%), comics (60.7%), text (57.2%), and control (50.3%). Differences between arms were statistically significant except between the slideshows with voice-over and animated videos and between the animated videos and comics. Informational aids that included an audio component (animated videos and slideshows with voice-over) had higher knowledge scores than those without an audio component (64.2% vs 59.0%, p < .0001). There was no difference between informational aids with a character-driven story component (animated videos and comics) and those without. CONCLUSION: Our results show that simple multimedia aids that use a dual-channel approach, such as voice-over with visual reinforcement, can improve participant knowledge more effectively than text alone. However, the relatively low knowledge scores suggest that targeted informational aids may be needed to teach some particularly challenging concepts. Nonetheless, our results demonstrate the potential to improve informed consent for research on medical practices using multimedia aids that include simplified language and visual metaphors.

Ethical, legal, social, and policy implications of behavioral genetics.

The field of behavioral genetics has engendered a host of moral and social concerns virtually since its inception. The policy implications of a genetic basis for behaviors are widespread and extend beyond the clinic to the socially important realms of education, criminal justice, childbearing, and child rearing. The development of new techniques and analytic approaches, including whole-genome sequencing, noninvasive prenatal genetic testing, and optogenetics, has clearly changed the study of behavioral genetics. However, the social context of biomedical research has also changed profoundly over the past few decades, and in ways that are especially relevant to behavioral genetics. The ever-widening scope of behavioral genetics raises ethical, legal, social, and policy issues in the potential new applications to criminal justice, education, the military, and reproduction. These issues are especially critical to address because of their potentially disproportionate effects on vulnerable populations such as children, the unborn, and the incarcerated.

"This lifetime commitment": Public conceptions of disability and noninvasive prenatal genetic screening.

Recently, new noninvasive prenatal genetic screening technologies for Down syndrome and other genetic conditions have become commercially available. Unique characteristics of these screening tests have reignited long-standing concerns about prenatal testing for intellectual and developmental disabilities. We conducted a web-based survey of a sample of the US public to examine how attitudes towards disability inform views of prenatal testing in the context of these rapidly advancing prenatal genetic screening technologies. Regardless of opinion toward disability, the majority of respondents supported both the availability of screening and the decision to continue a pregnancy positive for aneuploidy. Individuals rationalized their support with various conceptions of disability; complications of the expressivist argument and other concerns from the disability literature were manifested in many responses analyzed.

Reflections on the cost of "low-cost" whole genome sequencing: framing the health policy debate.

The cost of whole genome sequencing is dropping rapidly. There has been a great deal of enthusiasm about the potential for this technological advance to transform clinical care. Given the interest and significant investment in genomics, this seems an ideal time to consider what the evidence tells us about potential benefits and harms, particularly in the context of health care policy. The scale and pace of adoption of this powerful new technology should be driven by clinical need, clinical evidence, and a commitment to put patients at the centre of health care policy.