Social determinants of health Z-code documentation practices in mental health settings: a scoping review

Mental health remains an urgent global priority, alongside efforts to address underlying social determinants of health (SDoH) that contribute to the onset or exacerbate mental illness. SDoH factors can be captured in the form of International Classification of Disease, Tenth Revision, Clinical Modification (ICD-10-CM), SDoH Z codes. In this scoping review, we describe current SDoH Z-code documentation practices, with a focus on mental health care contexts. Among 2 743 061 374 health care encounters noted across 12 studies in the United States, SDoH Z-code documentation rates ranged from 0.5% to 2.4%. Documentation often involved patients under 64 years of age who are publicly insured and experience comorbidities, including depression, bipolar disorder and schizophrenia, chronic pulmonary disease, and substance abuse disorders. Documentation varied across hospital types, number of beds per facility, patient race/ethnicity, and geographic region. Variation was observed regarding patient sex/gender, although SDoH Z codes were more frequently documented for males. Documentation was most observed in government, nonfederal, and private not-for-profit hospitals. From these insights, we offer policy and practice recommendations, as well as considerations for patient data privacy, security, and confidentiality, to incentivize more routine documentation of Z codes to better assist patients with complex mental health care needs.

Returning personalized, genetic health test results to individuals of African descent or ancestry in precision medicine research

Today, many epidemiological studies and biobanks are offering to disclose individual genetic results to their participants, including the National Institutes of Health's All of Us Research Program. Returning hereditary disease risks and pharmacogenetic test results to study participants from racial/ethnic groups that are historically underrepresented in biomedical research poses specific challenges to those participants and the health system writ large. For example, individuals of African descent are underrepresented in research about drug-gene interactions and have a relatively higher proportion of variants of unknown significance, affecting their ability to take clinical action following return of results. In this brief report, we summarize studies published to date concerning the perspectives and/or attitudes of African Americans engaged in genetic research programs to anticipate factors in disclosure protocols that would minimize risks and maximize benefits. A thematic analysis of studies identified (n = 6) lends to themes centered on motivations to engage or disengage in the return of results and integrating research and care. Actionable strategies determined in reaction to these themes center on ensuring adequate system and health education support for participants and personalizing the process for participants engaging in return of results. Overall, we offer these themes and actionable strategies as early guidance to research programs, and provide recommendations to policy makers focused on fair and equitable return of genetic research results to underrepresented research participants.

GA4GH: International policies and standards for data sharing across genomic research and healthcare

The Global Alliance for Genomics and Health (GA4GH) aims to accelerate biomedical advances by enabling the responsible sharing of clinical and genomic data through both harmonized data aggregation and federated approaches. The decreasing cost of genomic sequencing (along with other genome-wide molecular assays) and increasing evidence of its clinical utility will soon drive the generation of sequence data from tens of millions of humans, with increasing levels of diversity. In this perspective, we present the GA4GH strategies for addressing the major challenges of this data revolution. We describe the GA4GH organization, which is fueled by the development efforts of eight Work Streams and informed by the needs of 24 Driver Projects and other key stakeholders. We present the GA4GH suite of secure, interoperable technical standards and policy frameworks and review the current status of standards, their relevance to key domains of research and clinical care, and future plans of GA4GH. Broad international participation in building, adopting, and deploying GA4GH standards and frameworks will catalyze an unprecedented effort in data sharing that will be critical to advancing genomic medicine and ensuring that all populations can access its benefits.

Integrating Patient-Reported Outcomes Into Clinical Genetic Testing for Familial Hypercholesterolemia

Patient-reported outcomes (PROs) and PRO measures (PROMs) are often used to help clinicians and researchers understand patients' personal concerns, feelings, experiences, and perspectives following the implementation of an intervention. Notably, PROs and PROMs can inform health systems, health policy, and payers on the utility of clinical genetic testing based on each patient's personal values, perspectives, and potential health behaviors subsequent to testing. In this topic synopsis, we discuss the underexplored role of and implications for PROs and PROMs following genetic testing for familial hypercholesterolemia (FH), an autosomal dominant genetic disorder of cholesterol metabolism that can lead to highly premature fatal and nonfatal myocardial infarction and stroke. We also discuss why the use and consideration of patient perspectives, via PROs and PROMs, are critical to the process of optimizing patient care across various FH treatment contexts. As expert clinician groups consider the latest evidence when establishing recommendations for FH genetic testing, there is a ripe opportunity for clinicians and researchers to explore the value and utility of PROs to inform and possibly improve care for patients diagnosed with FH.

African American Nurses' Perspectives on Genomic Medicine Research

Background

There is a lack of African American (AA) community engagement in genomic medicine research. Recent popular interest in the experience of AAs, such as that of Henrietta Lacks, has perhaps prompted interest in research on how AA nurses can provide strategies to better engage AA communities in genomic medicine research.

Methods

The authors conducted one-on-one semi-structured interviews with 11 National Black Nurses Association (NBNA) chapter leaders from 8 different US states, representing 782 NBNA members.

Results

Our results quantified NBNA chapter leader agreement on known themes from the literature, captured newly emerging themes, and produced a set of actionable strategies to help overcome barriers to AA engagement in genomic medicine research that fall under 6 themes: (1) engagement, support, information dissemination, and implementation recommendations in general and to address health disparities; (2) addressing language barriers; (3) addressing research implementation barriers; (4) getting physicians to participate; (5) overcoming privacy concerns; and (6) nursing education recommendations.

Conclusions

Actionable strategies presented herein can help researchers better engage AA communities in genomic medicine research.

A Qualitative Study to Develop a Privacy and Nondiscrimination Best Practice Framework for Personalized Wellness Programs

Employers in the United States (US) increasingly offer personalized wellness products as a workplace benefit. In doing so, those employers must be cognizant of not only US law but also European Union (EU) law to the extent that the EU law applies to European immigrants or guest workers in the US. To the extent that wellness programs are implemented in either public health or employment contexts within the US and/or EU, sponsors of these programs can partner with direct-to-consumer (DTC) genetic testing companies and other digital health companies to generate, collect, and process sensitive health information that are loosely or partially regulated from a privacy and nondiscrimination standpoint. Balancing claims about the benefits of wellness programs are concerns about employee health privacy and discrimination and the current unregulated nature of consumer health data. We qualitatively explored the concerns and opinions of public and legislative stakeholders in the US to determine key themes and develop privacy and nondiscrimination best practices. Key themes emerged as promoting a culture of trust and wellness. Best practices within these themes were: (1) have transparent and prominent data standards and practices, (2) uphold employee privacy and nondiscrimination standards, (3) remove penalties associated with biometric outcomes and nondisclosure of sensitive health information, (4) reward healthy behavior regardless of biometric outcomes, and (5) make program benefits accessible regardless of personal status. Employers, DTC genetic testing companies, policymakers, and stakeholders broadly should consider these themes and best practices in the current absence of broad regulations on nondiscriminatory workplace wellness programs.

A Global Review on the Utility of Genetic Testing for Familial Hypercholesterolemia

Familial hypercholesterolemia (FH) is a genetic disorder of cholesterol metabolism that affects an estimated 1/250 persons in the United States and abroad. FH is hallmarked by high low-density lipoprotein (LDL) cholesterol and an increased risk of premature atherosclerotic cardiovascular disease. This review summarizes recent global evidence showing the utility of FH genetic testing across diverse populations. Clinical and other qualitative outcomes following FH genetic testing were improved FH diagnosis, treatment initiation or continued treatment, treatment modification, improved total or LDL cholesterol levels, education on lifestyle management, and genetic counseling. This summary of evidence should be considered by those seeking overall evidence and knowledge gaps on the utility of FH genetic testing from a global perspective and for certain ethnic and age populations. These findings can be used to inform insurance policies and coverage decisions for FH genetic testing, policy recommendations to reduce the clinical and public health burden of FH, clinical practice and guidelines to improve the management of FH populations, and ongoing research involving FH genetic testing. We conclude that further investigations are needed to examine: (1) non-clinical outcomes following FH genetic testing; (2) patient-reported outcomes following FH genetic testing to convey patient experiences, values, and goals; and (3) clinical outcomes following FH genetic testing in non-Caucasian and pediatric populations in the United States and abroad.

What motivates the sharing of consumer-generated genomic information?

Genomic medicine is an emerging practice that followed the completion of the Human Genome Project and that considers genomic information about an individual in the provision of their clinical care. Large and start-up direct-to-consumer genetic testing companies like Ancestry, 23andMe, Luna DNA, and Nebula Genomics have capitalized on findings from the Human Genome Project by offering genetic health testing services to consumers without a clinical intermediary. Genomic medicine is thus further propelled by unprecedented supply and demand market forces driven by direct-to-consumer genetic testing companies. As government entities like the National Human Genome Research Institute question how genomics can be implemented into routine medical practice to prevent disease and improve the health of all members of a diverse community, we believe that stakeholders must first examine how and scenarios in which stakeholders can become motivated to share or receive genomic information. In this commentary, we discuss consumers three scenarios: satisfying personal curiosity, providing a social good, and receiving a financial return. We examine these motivations based on recent events and current avenues through which have engaged or can engage in genomic data sharing via private, secure (e.g. centralized genomic databases and de-centralized platforms like blockchain) and public, unsecure platforms (e.g. open platforms that are publicly available online). By examining these scenarios, we can likely determine how various stakeholders, such as consumers, might prefer to extract value from genomic information and how privacy preferences among those stakeholders might vary depending on how they seek to use or share genomic information. From there, one can recommend best practices to promote transparency and uphold privacy standards and expectations among stakeholders engaged in genomic medicine.

Exploring African American community perspectives about genomic medicine research: A literature review

Genomic medicine research is an important topic in the African American health care community. African American nurses and advance practice nursing professionals are poised to encourage and educate themselves and their communities about the importance of diversity in genomic medicine research. The Southern Nevada Black Nurses Association, a chapter within the larger National Black Nurses Association’s, recently engaged in the National Institutes of Health All of Us research program to educate their members about formularies and other treatment modalities that could clinically benefit African-Americans and other populations of color. During this event, the Southern Nevada Black Nurses Association discovered that National Black Nurses Association members held ethical, legal, and social concerns about engaging in genomic medicine research that align with respective concerns reported in the literature. In this review, we discuss National Black Nurses Association concerns and how they relate to qualitative themes emerging from the literature and a recent National Academies of Science, Engineering, and Medicine event on disparities in access to genomic medicine. We conclude that researchers should engage with African American health community leaders to effectively engage the African American community in genomic medicine research and help ensure that genomic medicine does not exacerbate existing health disparities.

Barriers and Facilitators to Genetic Testing for Familial Hypercholesterolemia in the United States: A Review

Familial Hypercholesterolemia (FH) is an underdiagnosed condition in the United States (US) and globally, affecting an estimated 1/250 individuals. It is a genetic risk factor for premature cardiovascular disease and is responsible for an estimated 600,000 to 1.2 million preventable vascular events. Studies show that FH genetic testing can identify a causal gene variant in 60 to 80% of clinically suspected FH cases. However, FH genetic testing is currently underutilized in clinical settings in the US despite clinical recommendations and evidence supporting its use. Reasons for underutilization are not well understood. We conducted a literature review in the PubMed/MEDLINE database and eight peer-reviewed journals. After filtering for and reviewing 2340 articles against our inclusion criteria, we included nine commentaries or expert opinions and eight empirical studies reported between January 2014 and March 2019 in our review. After applying the Consolidated Framework for Implementation Research (CFIR), we identified a total of 26 potential barriers and 15 potential facilitators (estimated barrier to facilitator ratio of 1.73). We further estimated ratios of potential barriers to facilitators for each CFIR domain (Characteristics of Intervention, Outer Setting, Inner Setting, Characteristics of Individuals, and Process). Findings derived from our systematic approach to the literature and calculations of estimated baseline ratios of barriers and facilitators can guide future research to understand FH genetic testing implementation in diverse clinical settings. Our systematic approach to the CFIR could also be used as a model to understand or compare barriers and facilitators to other evidence-based genetic testing processes in health care settings in the US and abroad.

Direct-to-Consumer Genetic Testing Data Privacy: Key Concerns and Recommendations Based on Consumer Perspectives

Direct-to-consumer genetic testing (DTC-GT) companies are engaging health consumers in unprecedented ways and leveraging the genetic information they collect to further engage health companies. This has produced controversy about DTC-GT consumer expectations, standards, and perceptions of privacy. In this commentary, we highlight recent events involving DTC-GT companies and controversy about privacy that followed those events and discuss recent studies that have explored DTC-GT consumer concerns about privacy. We discuss DTC-GT company standards of upholding consumer privacy and the general accessibility of DTC-GT company terms of use agreements and privacy policies that are written at reading levels above that of many consumers. We conclude that broader discussions and more research are needed to identify DTC-GT consumer concerns about and expectations of privacy. We anticipate that our recommendations will advance discussions on consumer privacy expectations and protections in an era of increasing engagement in DTC-GT.

Understanding Implementation Challenges to Genetic Testing for Familial Hypercholesterolemia in the United States

Cardiovascular disease (CVD) is the leading cause of death in the United States (US), with familial hypercholesterolemia (FH) being a major inherited and genetic risk factor for premature CVD and atherosclerosis. Genetic testing has helped patients and providers confirm the presence of known pathogenic and likely pathogenic variations in FH-associated genes. Key organizations, such as the Centers for Disease Control and Prevention (CDC), American Heart Association (AHA), FH Foundation, and National Lipid Association (NLA), have recognized the clinical utility of FH genetic testing. However, FH genetic testing is underutilized in clinical practice in the US for reasons that are underexplored through the lens of implementation science. In this commentary, we discuss seven key implementation challenges that must be overcome to strengthen the clinical adoption of FH genetic testing in the US. These implementation challenges center on evidence of cost-effectiveness, navigating patient and provider preferences and concerns, gender and ethnic diversity and representation in genetic testing, and establishing clinical consensus around FH genetic testing based on the latest and most relevant research findings. Overcoming these implementation challenges is imperative to the mission of reducing CVD risk in the US.