Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2024 Jul 1.
Published in final edited form as: Am J Bioeth. 2023 May 19;23(7):17–26. doi: 10.1080/15265161.2023.2207500

Rare Disease, Advocacy and Justice: Intersecting Disparities in Research and Clinical Care

Meghan C Halley 1,*, Colin M E Halverson 2,3, Holly K Tabor 1,4,+, Aaron J Goldenberg 5,+
PMCID: PMC10321139  NIHMSID: NIHMS1910535  PMID: 37204146

Abstract

Rare genetic diseases collectively impact millions of individuals in the United States. These patients and their families share many challenges including delayed diagnosis, lack of knowledgeable providers, and limited economic incentives to develop new therapies for small patient groups. As such, rare disease patients and families often must rely on advocacy, including both self-advocacy to access clinical care and public advocacy to advance research. However, these demands raise serious concerns for equity, as both care and research for a given disease can depend on the education, financial resources, and social capital available to the patients in a given community. In this article, we utilize three case examples to illustrate ethical challenges at the intersection of rare diseases, advocacy and justice, including how reliance on advocacy in rare disease may drive unintended consequences for equity. We conclude with a discussion of opportunities for diverse stakeholders to begin to address these challenges.

Introduction

Rare diseases collectively affect an estimated 25 million individuals in the United States (US), similar to the number currently diagnosed with diabetes or survivors of all types of cancer (CDC 2021; 2020). Of the estimated 10,000 individual rare diseases, 80 percent have a known or suspected genetic etiology (Nguengang Wakap et al. 2020; Haendel et al. 2020). Although rare diseases affect all ages, the majority (70 percent) emerge in childhood (Nguengang Wakap et al. 2020). Rare diseases are the primary cause of 26 percent of cases of severe disability in childhood (Guillem et al. 2008) and up to 58 percent of deaths under the age of 15 (Gunne et al. 2020). Adults with rare diseases also report poorer health-related quality of life as compared to those with common chronic diseases (Bogart and Irvin 2017) and the general US population (Bogart et al. 2022).

Research with families experiencing rare diseases has documented many shared challenges, including difficulty obtaining an accurate and timely diagnosis, lack of effective therapies, few knowledgeable providers, poor care coordination, and lack of established patient communities for support (von der Lippe, Diesen, and Feragen 2017). Rare disease patients and their families report the need for extensive self/family-advocacy in order to access appropriate care, manage insurance issues, avoid medical errors, and ensure communication across their (often large) medical team (von der Lippe, Diesen, and Feragen 2017; Global Genes 2013). Further, the lack of effective therapies for the vast majority of rare diseases (NCATS 2021a), as well as the relatively uncoordinated approach to rare diseases at the federal level (Halley et al. 2022), means that patient communities often rely on public advocacy to secure funding for research on their specific condition (Halley 2021).

The extent to which self- and community-advocacy are required for patients with rare diseases and their families to achieve both quality healthcare and progress towards treatments raises a number of equity concerns that intersect with underlying health disparities in society more broadly. The need for extensive self-advocacy in the clinical context is particularly concerning for patients already facing other known barriers to self-advocacy related to low health literacy, limited English proficiency, insurance status, rural location, and/or racism in the healthcare system. This includes individuals from cultural communities for which active engagement in healthcare decision-making is perceived as inappropriate or even disrespectful to clinicians, and who therefore may be further disinclined towards self-advocacy (Wiltshire et al. 2006; Rooks et al. 2012).

A lack of integration and coordination of funding for rare disease research at the federal level leaves policymakers without empirical data to understand and prioritize funding based on burden of disease, and allows for an arguably outsized role for disease-specific advocacy in shaping funding allocations (Halley et al. 2022). Indeed, there is evidence to suggest that research in a given rare disease is dependent, at least in part, on the education, financial resources, and social capital of those families who happen to be affected by the disease. The high-profile case of amyotrophic lateral sclerosis (ALS) provides a current example of the extent to which a community’s - or even a single patient’s – social capital can have major impacts on the research and policy landscape for that disease (Facher 2022). The downstream consequences of relying on patient communities’ available resources can also be seen in a recent comparison of cystic fibrosis (CF, which predominantly affects white communities) and sickle cell disease (SCD, which predominantly affects Black communities), which found disparities in research funding, published papers and new drug approvals paralleling well-established racial disparities in the US (Farooq et al. 2020). Indeed, even many recent therapeutic advances in spinal muscular atrophy, discussed below, reflect successes in a rare disease that disproportionately affects individuals of European ancestry (Lazarin et al. 2013).

In this target article, we utilize three case examples to illustrate ethical challenges for rare disease research at the intersection of equity and advocacy. We highlight the various ways in which dependence on advocacy in rare diseases – either self-advocacy to gain access to clinical care or public advocacy to advance research for a given disease – may drive unintended consequences related to justice both within and across rare disease communities. We conclude with a discussion of opportunities for diverse stakeholders in rare disease research and clinical care to begin to address these challenges.

Case 1: The Paradox of Newborn Screening Disparities

Newborn screening (NBS) is frequently used as an example of a public health program in which health disparities do not exist. Indeed, the universal nature of NBS is unique in that it allows every baby born in the US to access screening regardless of income, insurance coverage, or geographic location (Brosco, Grosse, and Ross 2015). Nearly all infants in the US receive NBS, which results in early identification of serious medical conditions and the initiation of life-saving interventions for thousands of children every year (Tarini and Goldenberg 2012). Despite public perceptions, however, concerns about disparities remain across many aspects of the NBS system.

First, in order for a disease even to be considered for addition to the recommended uniform screening panel, there first must be adequate funding for research to understand the natural history of the condition and identify an effective treatment. This has traditionally required substantial research funding and established academic and industry partnerships. As discussed above, the work to organize, fund, and advocate for such research often falls on patient communities. This dependence on advocacy leaves patient groups whose members may generally have fewer financial resources or less education at an inherent disadvantage.

Second, states vary widely in terms of the number of conditions screened and the speed with which new conditions are added to panels. This has created a lack of parity between states and concerns that newborns in more resource-poor states may not have access to updated screening panels, potentially missing cases (Tarini and Goldenberg 2012). Disparities also may exist in some states because of the biomarkers or analyte cut-offs used to screen newborns for certain conditions, which may be less accurate for non-White individuals1, leading to higher false positive or false negative rates in those populations (Peng et al. 2020; Arnold et al. 2010). For example, many CF variant panels are not inclusive of variants seen at higher rates in non-White patients (i.e., those on non-European ancestry), increasing the likelihood of missing true positive cases in non-White newborns (Therrell et al. 2012; Pique et al. 2017). False-negatives in NBS can cause delays in confirmatory diagnosis and treatment initiation and lead to worse health outcomes. In CF, for example, a missed case in the newborn period is associated with more severe or progressive lung disease later in childhood, as well as increased risks of growth delays and malnutrition (Dunn et al. 2011).

Challenges in ensuring equitable access to post-screening diagnosis and interventions are also due to variation in availability of specialists and clinical centers across states. Many of the conditions included in NBS require highly specialized follow-up testing to confirm diagnosis and, as discussed further below, treatments for some of the conditions are among the highest-priced medications available (Stein 2019). In addition, for many NBS conditions both confirmatory diagnoses and treatment initiation are highly time-sensitive. A number of conditions on state panels need identification and treatment within the first week or two of life to prevent serious health complications, including classic galactosemia, maple syrup urine disease, and multiple other Organic Acid and Fatty Acid Oxidation disorders (Society for Inherited Metabolic Disorders 2014; Sontag et al. 2020). However, recent data from the Association of Public Health Laboratories found that non-White newborns with a positive screening result received a confirmatory diagnosis and initiated treatment more than two weeks later, on average, when compared to White newborns (Gaviglio 2021). Though the specific drivers of these disparities require further investigation, these data are consistent with known disparities in access to healthcare across many conditions and settings (Perez-Stable and Hooper 2021).

When examining disparities in NBS, it is also crucial to recognize both the quality of life and economic impact that early detection and intervention can have for children, their families, and the health care system. While difficult to assess, a number of studies have shown overall favorable outcomes relative to the costs for conditions added to state NBS panels (Carroll and Downs 2006; Ding et al. 2016; Grosse 2015). Nevertheless, any assessment of costs and benefits at a population level also must consider the possibility that benefits of such public investments may be more difficult to access for patients already facing health disparities. New methods of value assessment, such as distributional cost-effectiveness analyses, may provide some empirical insights in this regard (Avanceña and Prosser 2021; Cookson et al. 2021). However, disparities still likely exist beyond the costs of treatment itself, such as lack of work flexibility when longer term travel is necessary for follow up. These elements are difficult to quantify and often overlooked (Goldenberg et al. 2016), pointing to the need for interdisciplinary collaboration and engagement of diverse stakeholders in research focused on understanding the real-world benefits and cost of public investments in NBS (Institute of Medicine 2001; Coyle et al. 2020).

The paradox of NBS is such that, when assessing equity for screening alone, disparities are minimized through widespread access to screening, facilitated by state public health agencies and hospitals. However, viewed through a wider lens that encompasses not only screening but also research, diagnosis, and follow up services, disparities are likely to limit the benefits of NBS for patients already underserved in our current healthcare system. As NBS continues to expand programs, researchers and policymakers will need to continually assess and address the potential short- and long-term disparities associated with screening systems in order to maintain the benefits of universal screening for all families.

Case 2: Therapies for Spinal Muscular Atrophy: Successes and Challenges

Spinal Muscular Atrophy (SMA) is a rare genetic neurodegenerative condition that ranges in severity from the most common cause of infant death (Type I) to later onset with significant physical and mobility limitations (Types II, III and IV) (NINDS 2019). The landscape of SMA has changed dramatically over the past six years, from a disease largely seen as “untreatable” to one with several approved therapies. Spinraza (nusinersen), an antisense oligonucleotide therapy, was approved by the Food and Drug Administration (FDA) in 2016, followed by Zolgensma (onasemnogene abeparvovec), in 2019. In large part due to these advances, SMA therapeutic development and translation is often referenced as an example of the promise of genetic medicine (Wadman 2016). However, even in the context of this relative success story, a number of complex ethical challenges remain unresolved.

In 2016, Spinraza debuted as not only the first therapy for SMA, but also as the most expensive drug available in the US at the time, priced at $750,000 for the first year of treatment and $375,000 annually for life (Appleby 2017b). This unenviable record was soon broken by Zolgensma, which debuted at a cost of $2.1 million dollars for a one-time intravenous infusion (Stein 2019). Uncertainty as to whether or how payers would cover these high-priced treatments fueled outrage in the patient community. As one parent described, “They’re [the drug company] putting a price tag on life, which sucks. In the end, we have to pay it if we want our kids to live, and they know it,” (Appleby 2017a).

Policymakers also have raised concerns regarding the long-term consequences of these unprecedented prices. In 2019, the Institute for Clinical and Economic Review (ICER), an independent non-profit research institute that evaluates the cost-effectiveness of new therapies, warned that “the ripple effect of pricing decisions like these threatens the overall affordability and sustainability of the US health system,” (ICER 2019). Medicaid officers across states – and particularly those serving large catchment areas – have raised similar objections. For example, in Washington state, which provides one of the only pediatric tertiary care facilities for many of its surrounding states, public officials have gone so far as to refer to the high prices as “unethical” (Appleby 2017a).

Today most payers in the US have coverage policies in place for both Spinraza and Zolgensma. However, due to concerns over the impact on state Medicaid budgets, many state administrators have imposed limitations on eligibility criteria. Recent analyses of Medicaid coverage policies across states found wide variation in coverage for both Spinraza and Zolgensma based on characteristics such as ventilator status, functional status, age, and SMN2 gene count (Ballreich et al. 2022; Berry et al. 2022). States with more restrictive policies also had substantially lower utilization rates for these therapies, suggesting there are patients who would have been able to access these therapies in a different state (Ballreich et al. 2022). A parallel study found similarly high variability among private payers, including eligibility criteria that were significantly more limited than the FDA indication (Margaretos et al. 2022). Surveys of patients and families also report wide variation in the length of time required for insurance approval, which is concerning given the importance of early use for treatment effectiveness (Chen et al. 2021).

In this complex ethical landscape, the responses within patients communities have been understandably variable. Some have mobilized large groups of volunteers to publicly contest insurance denials for treatment (Chakradhar 2019; Iyer, Barzilay, and Tabor 2020). Others have raised funds to cover the high co-pays – often thousands of dollars per year – for low-income families (Patient Advocate Foundation 2019). On the other hand, subsets of the patient community have expressed concern that the focus on high-cost therapeutics diverts attention from the many essential existing care needs of SMA patients that remain inadequately reimbursed or supported by society (Burgart et al. 2018). Adult patients with SMA Types II, III and IV (which are associated with significant morbidity but longer lifespan than SMA Type I) have expressed concern that they might only be provided with reimbursement for Spinraza treatment rather than reimbursement for essential equipment or supportive services (Pacione et al. 2019). This disability rights-focused perspective was particularly well-stated by a patient in an interview study on the topic (Pacione et al. 2019), who said

Everything that I could even need that would help me stay healthy and independent, I could buy with this eight million dollars [for lifetime Spinraza treatment] right….it’s putting a value on the idea of a cure that isn’t really there…an overall idea of disability being so atrocious that being able to open a Ziploc container is more important than having a full life that you can engage with.

This patient’s frustration highlights the extent to which, even in a small rare disease community, perspectives on the benefits and limits of new therapies can vary widely.

Given this diversity of perspectives within the SMA community, engaging socio-economically and phenotypically diverse patients with SMA and their families will be essential to ensure that policies surrounding new therapies for rare diseases improve – as opposed to exacerbate – existing disparities in access to treatment, reimbursement and other essential supports. Such engagement will help address some of the challenges outlined above and help determine effective policy solutions to improve equity in access not just to treatment, but also to other important supports.

Case 3: The Demands of Self-Advocacy in Hypermobile Ehlers-Danlos Syndrome

As opposed to public advocacy focused on community benefits, self-advocacy refers to “an assertiveness and willingness to represent one’s own interests” with one’s healthcare providers (Hagan and Donovan 2013). While public advocacy clearly has substantive impacts on the care of patients with rare diseases, self-advocacy can prove equally decisive in this regard. As noted above, in order to access knowledgeable specialists, rare disease patients and their families often must advocate for themselves at this intimate level as well. The case of hypermobile Ehlers-Danlos Syndrome (hEDS) highlights both the critical role of self-advocacy and the extent to which high expectations of self-advocacy can exacerbate disparities in access to quality care for patients with rare diseases.

HEDS is a rare connective tissue disorder characterized most prominently by chronic pain, fatigue, joint hypermobility, and tissue fragility (NCATS 2021b). The majority of individuals diagnosed with hEDS are women, and the mean age of diagnosis is 30, though symptoms typically begin much earlier. In fact, the average length of the hEDS diagnostic odyssey is over ten years (Halverson et al. 2021), far exceeding the estimates of six to seven years reported for rare diseases more generally (U.S. Government Accountability Office 2021). The clinical presentation of hEDS is complex and multisystemic. Patients experience limitations in their daily activities and, in many cases, a self-reported reduction in their quality of life. These factors can result in frequent visits to the clinic as patients struggle to address recurring issues (Bennett et al. 2019).

These characteristics of hEDS also can directly encumber a patient’s ability to self-advocate. The private, subjective nature of pain as a primary symptom of hEDS makes communication and validation of patient suffering particularly difficult (Halverson et al. 2022). Additionally, the gender of these patients and the frequency of their appearances in clinic together fuel interpersonal biases experienced by these patients as barriers to receiving appropriate care (Halverson et al. 2021). Patients may therefore feel the need for self-advocacy to be an additional burden.

To overcome these challenges, many patients with hEDS become well-versed both in the clinical management of their condition and in the science behind it (Cueto 2022). They often note – with some frustration – that they know more about hEDS than their clinicians (Halverson et al. 2021). Indeed, patients report that clinicians who are naïve to the physical limitations imposed by hEDS may recommend treatments that are ineffective or even harmful, such as overextending joints in physical therapy or receiving insufficient pain control (Halverson et al. 2021). Lack of knowledgeable physicians places an additional burden on patients to understand their disease. Moreover, such requirements have additional implications for equity, as patients with greater access to resources and knowledge for navigating the system will likely fare better overall than those without such resources.

In addition to the burdens of acquiring medical knowledge, patients must learn to communicate their knowledge to their clinicians in such way that their clinicians are able and willing to effectively engage them in treatment decision-making. However, this level of self-advocacy requires patients to be assertive in their interactions with healthcare providers, explaining their reasoning for potential disagreements in treatment plans and best interests (Brashers, Haas, and Neidig 1999). Some individuals and groups may find such demands burdensome or inappropriate, while others may feel some relief from decision fatigue by deferring to the “soft paternalism” of their clinicians (Binder and Lades 2015). Communicating knowledge about one’s condition can require careful negotiation of the existing social roles that are deeply imbedded in the practice of biomedicine, including underlying power differentials between patients and providers, as well as the linguistic or other behaviors a clinician may expect to accompany a patient’s legitimate health complaints (Dumit 2006; Werner and Malterud 2003). Indeed, despite a surge of interest in and scholarship on the benefits of patient engagement, shared decision-making, and patient-centered care (Barry and Edgman-Levitan 2012; Carman et al. 2013; Halley, Rendle, and Frosch 2013; Charles, Gafni, and Whelan 1997), patients – not only those with rare diseases – continue to report experiencing paternalistic attitudes from physicians and a fear of expressing disagreement in clinical encounters (Frosch et al. 2012). The stakes are arguably even higher for patients with rare diseases, as the lack of available, knowledgable providers may offer few alternatives should patient-provider relationships become strained.

Given the challenges inherent in negotiating these relationships, it is perhaps unsurprising that many patients with hEDS report experiencing a form of epistemic injustice, whereby their knowledge and input are unfairly rejected due to systematic biases embedded in the practice of medicine (Fricker 2017). Indeed, experiences of epistemic injustice in the form of disbelief and dismissal from clinicians are commonly reported among hEDS patients (Halverson et al. 2021). While some patients describe actively developing communication skills in order to be seen as a “credible patient,” unconscious biases related to the patient’s characteristics may shape these interactions in ways that the patient cannot control (Werner and Malterud 2003). For instance, studies suggest that clinicians may perceive patients who are female (Heise et al. 2019) and/or Black (Green et al. 2003) as less authoritative or credible than White, male patients. Many individuals with hEDS report that the cumulative burden of clinicians’ repeated “micro-invalidations” contribute to increasing reticence to be seen in clinic (Sue et al. 2007; Olkin 2017). In a study with hEDS patients currently under review, 85% of respondents reported avoiding healthcare providers at some point in their lives, and 68% reported avoiding mentioning their hEDS diagnosis with new providers, due to fears of stigma and bias associated with the condition (Halverson, Penwell, and Francomano Under Review).

Self-advocacy can therefore be interactionally powerful, psychologically burdensome, and directly detrimental to a patient’s health. It is necessary to understand the barriers individuals face in their clinical interactions in order to successfully promote just healthcare. Self-advocacy can be onerous for patients, but it is also often requisite under the current system of healthcare access. As such, the existing system inherently further disadvantages rare disease patients with lower health literacy, financial resources, and less assertive disposition to overcome these epistemic injustices.

Rare Disease Stakeholders – Opportunities to Address Equity

The examples above highlight some of the complex challenges in rare diseases at the intersection of advocacy and justice across the spectrum of research and clinical care. Though many of these challenges may have parallels in other disease areas, the examples above highlight the complexity of the intersectional challenges in this context. Further, the lack of therapies available for most rare diseases fuels an understandable sense of urgency among stakeholders (Halley 2021). However, this sense of urgency also may be used to justify deferring equity concerns to some indefinite time in the future, or to claim - despite evidence to the contrary - that advances in research or clinical care will simply trickle-down to all. Such ideas also imply – again inaccurately – that advancing research and advancing equity are inherently at odds.

Moving away from this perceived dichotomy and towards a more equitable approach to rare disease research and care will require concrete contributions from all stakeholders. Table 1 provides examples of opportunities to mitigate inequities by various stakeholders in rare disease research and clinical care. This list is far from exhaustive, but is intended to illustrate the multi-dimensional solutions that will be needed to mitigate the burdens of advocacy for individual patients and patient communities and the downstream consequences for equity.

Table 1.

Rare Disease Stakeholders - Opportunities to Address Equity

Stakeholders Opportunities to Address Equity
Government funding agencies  • Critically review funding allocations across rare diseases for potential inequities in allocation.
 • Invest in integrated approaches to research to understand variation in outcomes within and across rare diseases.
Federal and state policymakers  • Promote regulatory supports for rare disease therapy development and coverage for new therapeutics.
 • Review targeted variants and cut-off levels used in NBS for racially and ethnically diverse communities.
 • Invest in systemic supports for robust short- and long-term follow-up of positive NBS screening results.
Industry partners  • Focus philanthropic donations on diverse patient communities
 • Invest in financial support and navigation programs for patients
 • Engage with diverse patient partners at all stages of research
 • Consider value-based payment arrangements for high-cost drugs
Researchers  • Engage with diverse patient partners at all stages of research
 • Evaluate research protocols to reduce burden on patient participants
Healthcare systems  • Work with existing pediatric complex care providers to support families
 • Develop parallel navigation programs for adults with rare diseases
Healthcare providers  • Develop educational materials for community providers around rare diseases, implicit bias, and care needs
 • Adopt patient-centered models of care coordination and communication
Public and private payers  • Develop internal programs to improve care coordination and support navigation
 • Explore pilot programs to fund complex care and coordination for rare disease patients
Patient and family groups  • Actively seek to diversify representation, leadership and decision-making within disease groups
 • Consider the potential downstream benefits and drawbacks of various funding priorities for socioeconomically and phenotypically diverse members of the patient community

Government funding agencies could actively review their rare disease funding allocations with equity considerations in mind - an investment in equity at the stage of priority-setting for research will be essential to ensuring that resource allocation decisions are based on where the need is greatest, as opposed to where the voices are the loudest (Halley et al. 2022). Industry partners – and specifically those who are poised to reap significant financial benefits from the sale of advanced therapeutics – arguably have a duty of reciprocity to patient communities, and particularly to those most vulnerable to inequities. These stakeholders could consider making philanthropic donations to diverse patient communities, investing in internal patient navigation and/or financial resources for low-income patients and/or engagement with payers in innovative payment arrangements (Mytelka et al. 2020).

Researchers in both industry and academic settings should familiarize themselves with the ethical and empirical benefits of community-based research and intentionally engage a diverse range of patient stakeholders at all stages of the research process (Forsythe et al. 2019; Halley, Dixon-Salazar, and Wexler 2022). Healthcare systems, healthcare providers and payers could partner to develop care delivery interventions (drawing on models of existing successful programs (United Health Group 2022)) to provide greater support and guidance for rare disease patients and reduce the extent to which individuals must forge their own paths. In addition, as new, high cost therapies enter the market, payers will need to work closely with healthcare systems, industry partners, policymakers and patient communities to ensure that not only those who already have the best care also have access to these new therapies (Pearson, Schapiro, and Pearson 2022).

Patient communities also have a role to play in mitigating inequities. As researchers and bioethicists who work closely and personally identify with the rare disease community, we recognize that encouraging patient communities to engage consideration of equity may seem unfair in the face of existing challenges. Fortunately, there are increasingly resources available to support rare disease patient groups in thinking through equity concerns, including the newly formed Rare Disease Diversity Coalition (https://www.rarediseasediversity.org/) and resources within established umbrella organizations such as Global Genes (https://globalgenes.org/the-rare-health-equity-leadership-council/) and the National Organization for Rare Diseases https://rarediseases.org/diversity-equity-inclusion/). These organizations also offer valuable resources for individual patients and families who may be facing challenges at the intersection of rare disease and other socio-political biases that remain endemic to our healthcare system. Developing tools and strategies to support patient self-advocacy that directly address the intersectional challenges of rare disease and equity will be critical to improving patient outcomes and increasing healthcare provider awareness.

Conclusion

Rare disease advocacy is not inherently problematic. Indeed, self-advocacy is essential for rare disease patients navigating our current healthcare system, and public advocacy remains a primary method for advancing research available for rare disease patient groups. However, as a de facto system for access to research and clinical care, the demands of advocacy inherently disadvantage those who lack social capital and/or who face discrimination due to their race, gender, income, education or other characteristics. Addressing these inherent inequities will require active commitment by and collaboration among all stakeholders in rare disease research and clinical care.

Acknowledgements

MCH and CMEH both receive funding from the National Human Genome Research Institute, grant numbers K01HG011341 (MCH) and K01HG012408 (CMEH). HKT and MCH both receive funding from the National Institutes of Health Office of the Director, grant number U01HG010218, and HKT also receives funding from the National Center for Advancing Translational Sciences, grant number UL1TR003142. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

Footnotes

1

Here we use the term “non-White” instead of “European ancestry” to reflect the categories used in the cited materials.

References

  1. Appleby Julie. 2017a. “Drug Puts A $750,000 ‘Price Tag On Life.’” NPR, August 1, 2017, sec. Treatments. https://www.npr.org/sections/health-shots/2017/08/01/540100976/drug-puts-a-750-000-price-tag-on-life.
  2. –––. 2017b. “Drug Puts A $750,000 ‘Price Tag On Life.’” Kaiser Health News (blog). August 2, 2017. https://khn.org/news/drug-puts-a-750000-price-tag-on-life/.
  3. Arnold Georgianne L., Saavedra-Matiz Carlos A., Galvin-Parton Patricia A., Erbe Richard, Devincentis Ellen, Kronn David, Mofidi Shideh, et al. 2010. “Lack of Genotype-Phenotype Correlations and Outcome in MCAD Deficiency Diagnosed by Newborn Screening in New York State.” Molecular Genetics and Metabolism 99 (3): 263–68. 10.1016/j.ymgme.2009.10.188. [DOI] [PubMed] [Google Scholar]
  4. Avanceña Anton L. V., and Prosser Lisa A.. 2021. “Examining Equity Effects of Health Interventions in Cost-Effectiveness Analysis: A Systematic Review.” Value in Health 24 (1): 136–43. 10.1016/j.jval.2020.10.010. [DOI] [PubMed] [Google Scholar]
  5. Ballreich Jeromie, Ezebilo Ijeamaka, Banda Abdallah Khalifa Joshua Choe, and Anderson Gerard. 2022. “Coverage of Genetic Therapies for Spinal Muscular Atrophy across Fee-for-Service Medicaid Programs.” Journal of Managed Care & Specialty Pharmacy 28 (1): 39–47. 10.18553/jmcp.2022.28.1.39. [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Barry MJ, and Edgman-Levitan S. 2012. “Shared Decision Making--Pinnacle of Patient-Centered Care.” New England Journal of Medicine 366 (9): 780–81. 10.1056/NEJMp1109283. [DOI] [PubMed] [Google Scholar]
  7. Bennett Sarah E., Walsh Nicola, Moss Tim, and Palmer Shea. 2019. “The Lived Experience of Joint Hypermobility and Ehlers-Danlos Syndromes: A Systematic Review and Thematic Synthesis.” Physical Therapy Reviews 24 (1–2): 12–28. 10.1080/10833196.2019.1590674. [DOI] [Google Scholar]
  8. Berry Diane, Wellman Jennifer, Allen Jeremy, and Mayer Christina. 2022. “Assessing the State of Medicaid Coverage for Gene and Cell Therapies.” Molecular Therapy: The Journal of the American Society of Gene Therapy 30 (9): 2879–80. 10.1016/j.ymthe.2022.08.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Binder Martin, and Lades Leonhard K.. 2015. “Autonomy-Enhancing Paternalism.” Kyklos 68 (1): 3–27. 10.1111/kykl.12071. [DOI] [Google Scholar]
  10. Bogart Kathleen, Hemmesch Amanda, Barnes Erica, Blissenbach Thomas, Beisang Arthur, Engel Patti, Tolar Jakub, et al. 2022. “Healthcare Access, Satisfaction, and Health-Related Quality of Life among Children and Adults with Rare Diseases.” Orphanet Journal of Rare Diseases 17 (1): 196. 10.1186/s13023-022-02343-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  11. Bogart Kathleen, and Irvin Veronica. 2017. “Health-Related Quality of Life among Adults with Diverse Rare Disorders.” Orphanet Journal of Rare Diseases 12 (1): 177. 10.1186/s13023-017-0730-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. Brashers Dale E., Haas Stephen M., and Neidig Judith L.. 1999. “The Patient Self-Advocacy Scale: Measuring Patient Involvement in Health Care Decision-Making Interactions.” Health Communication 11 (2): 97–121. 10.1207/s15327027hc1102_1. [DOI] [PubMed] [Google Scholar]
  13. Brosco Jeffrey P., Grosse Scott D., and Ross Lainie Friedman. 2015. “Universal State Newborn Screening Programs Can Reduce Health Disparities.” JAMA Pediatrics 169 (1): 7–8. 10.1001/jamapediatrics.2014.2465. [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Burgart Alyssa M., Magnus David, Tabor Holly K., Erin Daksha-Talati Paquette Joel Frader, Glover Jaqueline J., Jackson Brian M., et al. 2018. “Ethical Challenges Confronted When Providing Nusinersen Treatment for Spinal Muscular Atrophy.” JAMA Pediatrics 172 (2): 188–92. 10.1001/jamapediatrics.2017.4409. [DOI] [PubMed] [Google Scholar]
  15. Carman Kristin L., Dardess Pam, Maurer Maureen, Sofaer Shoshanna, Adams Karen, Bechtel Christine, and Sweeney Jennifer. 2013. “Patient And Family Engagement: A Framework For Understanding The Elements And Developing Interventions And Policies.” Health Affairs 32 (2): 223–31. 10.1377/hlthaff.2012.1133. [DOI] [PubMed] [Google Scholar]
  16. Carroll Aaron E., and Downs Stephen M.. 2006. “Comprehensive Cost-Utility Analysis of Newborn Screening Strategies.” Pediatrics 117 (5 Pt 2): S287–295. 10.1542/peds.2005-2633H. [DOI] [PubMed] [Google Scholar]
  17. CDC. 2020. “National Diabetes Statistics Report, 2020.” Atlanta, GA: Centers for Disease Control and Prevention, U.S. Dept of Health and Human Services. [Google Scholar]
  18. –––. 2021. “United States Cancer Statistics.” Centers for Disease Control and Prevention. June 10, 2021. https://www.cdc.gov/cancer/uscs/index.htm. [Google Scholar]
  19. Chakradhar Shraddha. 2019. “‘Maisie’s Army’: How a Grassroots Group Is Mobilizing to Help Toddlers Access a Lifesaving Drug.” STAT News (blog). August 20, 2019. https://www.statnews.com/2019/08/20/maisies-army-zolgensma-access-spinal-muscular-atrophy/. [Google Scholar]
  20. Charles C, Gafni A, and Whelan T. 1997. “Shared Decision-Making in the Medical Encounter: What Does It Mean? (Or It Takes at Least Two to Tango).” Social Science & Medicine 44 (5): 681–92. http://www.ncbi.nlm.nih.gov/pubmed/9032835. [DOI] [PubMed] [Google Scholar]
  21. Chen Er, Dixon Stacy, Naik Rupali, Noone Josh M., Buchenberger J. Daniel, Whitmire Sarah M., Mills Rosalina, and Arnold William. 2021. “Early Experiences of Nusinersen for the Treatment of Spinal Muscular Atrophy: Results from a Large Survey of Patients and Caregivers.” Muscle & Nerve 63 (3): 311–19. 10.1002/mus.27116. [DOI] [PMC free article] [PubMed] [Google Scholar]
  22. Cookson Richard, Griffin Susan, Norheim Ole F., Culyer Anthony J., and Chalkidou Kalipso. 2021. “Distributional Cost-Effectiveness Analysis Comes of Age.” Value in Health 24 (1): 118–20. 10.1016/j.jval.2020.10.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  23. Coyle Doug, Isabelle Durand-Zaleski Jasmine Farrington, Garrison Louis, von der Schulenburg Johann-Matthias Graf, Greiner Wolfgang, Longworth Louise, et al. 2020. “HTA Methodology and Value Frameworks for Evaluation and Policy Making for Cell and Gene Therapies.” The European Journal of Health Economics 21 (9): 1421–37. 10.1007/s10198-020-01212-w. [DOI] [PubMed] [Google Scholar]
  24. Cueto Isabella. 2022. “Revenge of the Gaslit Patients: Now, as Scientists, They’re Tackling Ehlers-Danlos Syndromes.” STAT (blog). December 12, 2022. https://www.statnews.com/2022/12/12/ehlers-danlos-syndrome-patients-turned-researchers/. [Google Scholar]
  25. Ding Yao, Thompson John D., Kobrynski Lisa, Ojodu Jelili, Zarbalian Guisou, and Grosse Scott D.. 2016. “Cost-Effectiveness/Cost-Benefit Analysis of Newborn Screening for Severe Combined Immune Deficiency in Washington State.” The Journal of Pediatrics 172 (May): 127–35. 10.1016/j.jpeds.2016.01.029. [DOI] [PMC free article] [PubMed] [Google Scholar]
  26. Dumit Joseph. 2006. “Illnesses You Have to Fight to Get: Facts as Forces in Uncertain, Emergent Illnesses.” Social Science & Medicine (1982) 62 (3): 577–90. 10.1016/j.socscimed.2005.06.018. [DOI] [PubMed] [Google Scholar]
  27. Dunn Christina T., Skrypek Mary M., Powers Amy L. R., and Laguna Theresa A.. 2011. “The Need for Vigilance: The Case of a False-Negative Newborn Screen for Cystic Fibrosis.” Pediatrics 128 (2): e446–449. 10.1542/peds.2010-0286. [DOI] [PMC free article] [PubMed] [Google Scholar]
  28. Facher Lev. 2022. “‘I’m Going to Prove You Wrong’: How a D.C. Power Couple Used an ALS Diagnosis to Create a Political Juggernaut.” STAT (blog). January 11, 2022. https://www.statnews.com/2022/01/11/brian-wallach-sandra-abrevaya-als-advocacy/. [Google Scholar]
  29. Farooq Faheem, Mogayzel Peter J., Lanzkron Sophie, Haywood Carlton, and Strouse John J.. 2020. “Comparison of US Federal and Foundation Funding of Research for Sickle Cell Disease and Cystic Fibrosis and Factors Associated With Research Productivity.” JAMA Network Open 3 (3): e201737. 10.1001/jamanetworkopen.2020.1737. [DOI] [PubMed] [Google Scholar]
  30. Forsythe Laura P., Carman Kristin L., Szydlowski Victoria, Fayish Lauren, Davidson Laurie, Hickam David H., Hall Courtney, et al. 2019. “Patient Engagement In Research: Early Findings From The Patient-Centered Outcomes Research Institute.” Health Affairs (Project Hope) 38 (3): 359–67. 10.1377/hlthaff.2018.05067. [DOI] [PubMed] [Google Scholar]
  31. Fricker Miranda. 2017. “Evolving Concepts of Epistemic Injustice.” In The Routledge Handbook of Epistemic Injustice, edited by Kidd Ian James, Medina Jose, and Pohlhaus Gaile Jr, 53–60. Routledge Handbooks in Philosophy. New York: Routledge. [Google Scholar]
  32. Frosch Dominick L., May Suepattra G., Rendle Katharine A.S, Tietbohl Caroline, and Elwyn Glyn. 2012. “Authoritarian Physicians And Patients’ Fear Of Being Labeled ‘Difficult’ Among Key Obstacles To Shared Decision Making.” Health Affairs 31 (5): 1030–38. 10.1377/hlthaff.2011.0576. [DOI] [PubMed] [Google Scholar]
  33. Gaviglio Amy. 2021. “Exploring Equity Across the Newborn Screening System: From Discourse to Action.” In Association of Public Health Laboratories - Newborn Screening Virtual Symposium. Virtual Conference. https://www.aphl.org/conferences/proceedings/Pages/2021-Newborn-Screening-Virtual-Symposium.aspx. [Google Scholar]
  34. Global Genes. 2013. “Rare Disease Impact Report: Insights from Patients and the Medical Community.” Global Genes. https://globalgenes.org/wp-content/uploads/2013/04/ShireReport-1.pdf. [Google Scholar]
  35. Goldenberg Aaron J., Anne Marie Comeau Scott D. Grosse, Tanksley Susan, Prosser Lisa A., Ojodu Jelili, Botkin Jeffrey R., Kemper Alex R., and Green Nancy S.. 2016. “Evaluating Harms in the Assessment of Net Benefit: A Framework for Newborn Screening Condition Review.” Maternal and Child Health Journal 20 (3): 693–700. 10.1007/s10995-015-1869-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  36. Green Carmen R., Anderson Karen O., Baker Tamara A., Campbell Lisa C., Decker Sheila, Fillingim Roger B., Kaloukalani Donna A., et al. 2003. “The Unequal Burden of Pain: Confronting Racial and Ethnic Disparities in Pain.” Pain Medicine 4 (3): 277–94. 10.1046/j.1526-4637.2003.03034.x. [DOI] [PubMed] [Google Scholar]
  37. Grosse Scott D. 2015. “Showing Value in Newborn Screening: Challenges in Quantifying the Effectiveness and Cost-Effectiveness of Early Detection of Phenylketonuria and Cystic Fibrosis.” Healthcare (Basel, Switzerland) 3 (4): 1133–57. 10.3390/healthcare3041133. [DOI] [PMC free article] [PubMed] [Google Scholar]
  38. Guillem P, Cans C, Robert-Gnansia E, Aymé S, and Jouk PS. 2008. “Rare Diseases in Disabled Children: An Epidemiological Survey.” Archives of Disease in Childhood 93 (2): 115–18. 10.1136/adc.2006.104455. [DOI] [PubMed] [Google Scholar]
  39. Gunne Emer, Cliona McGarvey Karina Hamilton, Treacy Eileen, Lambert Deborah M., and Lynch Sally Ann. 2020. “A Retrospective Review of the Contribution of Rare Diseases to Paediatric Mortality in Ireland.” Orphanet Journal of Rare Diseases 15 (1): 311. 10.1186/s13023-020-01574-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  40. Haendel Melissa, Vasilevsky Nicole, Unni Deepak, Bologa Cristian, Harris Nomi, Rehm Heidi, Hamosh Ada, et al. 2020. “How Many Rare Diseases Are There?” Nature Reviews. Drug Discovery 19 (2): 77–78. 10.1038/d41573-019-00180-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  41. Hagan Teresa L., and Donovan Heidi S.. 2013. “Self-Advocacy and Cancer: A Concept Analysis.” Journal of Advanced Nursing 69 (10): 2348–59. 10.1111/jan.12084. [DOI] [PMC free article] [PubMed] [Google Scholar]
  42. Halley Meghan C. 2021. “From ‘Ought’ to ‘Is’: Surfacing Values in Patient and Family Advocacy in Rare Diseases.” The American Journal of Bioethics 21 (12): 1–3. 10.1080/15265161.2021.1996801. [DOI] [PMC free article] [PubMed] [Google Scholar]
  43. Halley Meghan C., Dixon-Salazar Tracy, and Wexler Anna. 2022. “Beyond ‘Ensuring Understanding’: Toward a Patient-Partnered Neuroethics of Brain Device Research.” AJOB Neuroscience 13 (4): 241–44. 10.1080/21507740.2022.2126550. [DOI] [PMC free article] [PubMed] [Google Scholar]
  44. Halley Meghan C., Rendle Katharine A. S., and Frosch Dominick L.. 2013. “A Conceptual Model of the Multiple Stages of Communication Necessary to Support Patient-Centered Care.” Journal of Comparative Effectiveness Research 2 (4): 421–33. 10.2217/cer.13.46. [DOI] [PubMed] [Google Scholar]
  45. Halley Meghan C., Hadley Stevens Smith Euan A. Ashley, Goldenberg Aaron J., and Tabor Holly K.. 2022. “A Call for an Integrated Approach to Improve Efficiency, Equity and Sustainability in Rare Disease Research in the United States.” Nature Genetics 54 (3): 219–22. 10.1038/s41588-022-01027-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
  46. Halverson Colin M E, Clayton Ellen W, Sierra Abigail Garcia, and Francomano Clair. 2021. “Patients with Ehlers-Danlos Syndrome on the Diagnostic Odyssey: Rethinking Complexity and Difficulty as a Hero’s Journey.” American Journal of Medical Genetics 187 (4): 416–24. 10.1002/ajmg.c.31935. [DOI] [PubMed] [Google Scholar]
  47. Halverson Colin M E, Kroenke Kurt, Penwell Heather L, and Francomano Clair A. 2022. “Evolving Attitudes Toward Numeric Pain Assessment Among Patients with Hypermobile Ehlers-Danlos Syndrome: A Qualitative Interview Study.” Pain Medicine, November, pnac167. 10.1093/pm/pnac167. [DOI] [PMC free article] [PubMed] [Google Scholar]
  48. Halverson Colin M. E., Penwell Heather L, and Francomano Clair A. Under Review. “Lasting Trauma from Difficult Clinical Encounters: Results from a Qualitative Interview Study on the Ehlers-Danlos Syndromes.” [DOI] [PMC free article] [PubMed] [Google Scholar]
  49. Heise Lori, Margaret E Greene Neisha Opper, Stavropoulou Maria, Harper Caroline, Nascimento Marcos, Zewdie Debrework, et al. 2019. “Gender Inequality and Restrictive Gender Norms: Framing the Challenges to Health.” The Lancet 393 (10189): 2440–54. 10.1016/S0140-6736(19)30652-X. [DOI] [PubMed] [Google Scholar]
  50. ICER. 2019. “A Look at Spinraza and Zolgensma for Spinal Muscular Atrophy.” Update. Institute for Clinical and Economic Review (ICER). ICER-REVIEW.ORG. [Google Scholar]
  51. Institute of Medicine. 2001. Crossing the Quality Chasm: A New Health System for the 21st Century. Washington, D.C: National Academy Press. http://www.iom.edu/Reports/2001/Crossing-the-Quality-Chasm-A-New-Health-System-for-the-21st-Century.aspx. [PubMed] [Google Scholar]
  52. Iyer Alexander A., Barzilay Julie R., and Tabor Holly K.. 2020. “Patient and Family Social Media Use Surrounding a Novel Treatment for a Rare Genetic Disease: A Qualitative Interview Study.” Genetics in Medicine, June. 10.1038/s41436-020-0890-6. [DOI] [PubMed] [Google Scholar]
  53. Lazarin Gabriel A., Haque Imran S., Nazareth Shivani, Iori Kevin, Patterson A. Scott, Jacobson Jessica L., Marshall John R., et al. 2013. “An Empirical Estimate of Carrier Frequencies for 400+ Causal Mendelian Variants: Results from an Ethnically Diverse Clinical Sample of 23,453 Individuals.” Genetics in Medicine 15 (3): 178–86. 10.1038/gim.2012.114. [DOI] [PMC free article] [PubMed] [Google Scholar]
  54. Lippe Charlotte von der, Diesen Plata S., and Feragen Kristin B.. 2017. “Living with a Rare Disorder: A Systematic Review of the Qualitative Literature.” Molecular Genetics & Genomic Medicine 5 (6): 758–73. 10.1002/mgg3.315. [DOI] [PMC free article] [PubMed] [Google Scholar]
  55. Margaretos Nikoletta M., Bawa Komal, Engmann Natalie J., and Chambers James D.. 2022. “Patients’ Access to Rare Neuromuscular Disease Therapies Varies across US Private Insurers.” Orphanet Journal of Rare Diseases 17 (1): 36. 10.1186/s13023-022-02182-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  56. Mytelka Daniel S., Cassidy William M., Kohn Donald B., and Trusheim Mark R.. 2020. “Managing Uncertainty In Drug Value: Outcomes-Based Contracting Supports Value-Based Pricing.” Health Affairs Blog (blog). January 30, 2020. 10.1377/hblog20200128.542919/full/. [DOI] [Google Scholar]
  57. NCATS. 2021a. “FAQs About Rare Diseases -Genetic and Rare Diseases Information Center (GARD).” National Center for Advancing Translational Sciences. January 26, 2021. https://rarediseases.info.nih.gov/diseases/pages/31/faqs-about-rare-diseases. [Google Scholar]
  58. –––. 2021b. “Hypermobile Ehlers Danlos Syndrome - Genetic and Rare Diseases Information Center (GARD).” National Center for Advancing Translational Sciences. November 8, 2021. https://rarediseases.info.nih.gov/diseases/2081/hypermobile-ehlers-danlos-syndrome. [Google Scholar]
  59. Wakap Nguengang, Stéphanie Deborah M. Lambert, Olry Annie, Rodwell Charlotte, Gueydan Charlotte, Lanneau Valérie, Murphy Daniel, Cam Yann Le, and Rath Ana. 2020. “Estimating Cumulative Point Prevalence of Rare Diseases: Analysis of the Orphanet Database.” European Journal of Human Genetics 28 (2): 165–73. 10.1038/s41431-019-0508-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  60. NINDS. 2019. “Spinal Muscular Atrophy Fact Sheet.” (National Institute of Neurological Disorders and Stroke. May 2019. https://www.ninds.nih.gov/spinal-muscular-atrophy-fact-sheet. [Google Scholar]
  61. Olkin Rhoda. 2017. Disability-Affirmative Therapy. New York: Oxford University Press. [Google Scholar]
  62. Pacione Michelle, Siskind Carly E., Day John W., and Tabor Holly K.. 2019. “Perspectives on Spinraza (Nusinersen) Treatment Study: Views of Individuals and Parents of Children Diagnosed with Spinal Muscular Atrophy.” Journal of Neuromuscular Diseases 6 (1): 119–31. 10.3233/JND-180330. [DOI] [PubMed] [Google Scholar]
  63. Patient Advocate Foundation. 2019. “Spinal Muscular Atrophy Health Equity Fund – Co-Pay Relief.” Copays.Org. 2019. https://copays.org/funds/spinal-muscular-atrophy-health-equity-fund/.
  64. Pearson Caroline, Schapiro Lindsey, and Pearson Steven D. 2022. “The next Generation of Rare Disease Drug Policy: Ensuring Both Innovation and Affordability.” Journal of Comparative Effectiveness Research 11 (14): 999–1010. 10.2217/cer-2022-0120. [DOI] [PubMed] [Google Scholar]
  65. Peng Gang, Tang Yishuo, Gandotra Neeru, Enns Gregory M., Cowan Tina M., Zhao Hongyu, and Scharfe Curt. 2020. “Ethnic Variability in Newborn Metabolic Screening Markers Associated with False-Positive Outcomes.” Journal of Inherited Metabolic Disease 43 (5): 934–43. 10.1002/jimd.12236. [DOI] [PMC free article] [PubMed] [Google Scholar]
  66. Perez-Stable Eliseo J., and Hooper Monica Webb. 2021. “Acknowledgment of the Legacy of Racism and Discrimination.” Ethnicity & Disease 31 (Suppl): 289–92. 10.18865/ed.31.S1.289. [DOI] [PMC free article] [PubMed] [Google Scholar]
  67. Pique Lynn, Graham Steve, Pearl Michelle, Kharrazi Martin, and Schrijver Iris. 2017. “Cystic Fibrosis Newborn Screening Programs: Implications of the CFTR Variant Spectrum in Nonwhite Patients.” Genetics in Medicine 19 (1): 36–44. 10.1038/gim.2016.48. [DOI] [PubMed] [Google Scholar]
  68. Rooks Ronica N., Wiltshire Jacqueline C., Elder Keith, BeLue Rhonda, and Gary Lisa C.. 2012. “Health Information Seeking and Use Outside of the Medical Encounter: Is It Associated with Race and Ethnicity?” Social Science & Medicine 74 (2): 176–84. 10.1016/j.socscimed.2011.09.040. [DOI] [PubMed] [Google Scholar]
  69. Society for Inherited Metabolic Disorders. 2014. “Identifying Abnormal Newborn Screens Requiring Immediate Notification of the Health Care Provider.” Society for Inherited Metabolic Disorders. chrome-extension://efaidnbmnnnibpcajpcglclefindmkaj/https://www.simd.org/Issues/SIMD%20NBS%20Critical%20Conditions%20policy%20statement.pdf. [Google Scholar]
  70. Sontag Marci K., Miller Joshua I., Sarah McKasson Ruthanne Sheller, Edelman Sari, Yusuf Careema, Singh Sikha, et al. 2020. “Newborn Screening Timeliness Quality Improvement Initiative: Impact of National Recommendations and Data Repository.” PloS One 15 (4): e0231050. 10.1371/journal.pone.0231050. [DOI] [PMC free article] [PubMed] [Google Scholar]
  71. Stein Rob. 2019. “At $2.1 Million, New Gene Therapy Is The Most Expensive Drug Ever.” NPR, May 24, 2019, sec. Health. https://www.npr.org/sections/health-shots/2019/05/24/725404168/at-2-125-million-new-gene-therapy-is-the-most-expensive-drug-ever.
  72. Sue Derald Wing, Bucceri Jennifer, Lin Annie I., Nadal Kevin L., and Torino Gina C.. 2007. “Racial Microaggressions and the Asian American Experience.” Cultural Diversity and Ethnic Minority Psychology 13 (1): 72–81. 10.1037/1099-9809.13.1.72. [DOI] [PubMed] [Google Scholar]
  73. Tarini Beth A., and Goldenberg Aaron J.. 2012. “Ethical Issues with Newborn Screening in the Genomics Era.” Annual Review of Genomics and Human Genetics 13: 381–93. 10.1146/annurev-genom-090711-163741. [DOI] [PMC free article] [PubMed] [Google Scholar]
  74. Therrell Bradford L. W, Harry Hannon, Gary Hoffman, Jelili Ojodu, and Philip M. Farrell. 2012. “Immunoreactive Trypsinogen (IRT) as a Biomarker for Cystic Fibrosis: Challenges in Newborn Dried Blood Spot Screening.” Molecular Genetics and Metabolism 106 (1): 1–6. 10.1016/j.ymgme.2012.02.013. [DOI] [PubMed] [Google Scholar]
  75. United Health Group. 2022. “Comprehensive Programming for Families of Children With Special Health Care Needs Improves Experiences While Lowering Costs.” 2022. August 1, 2022. https://www.unitedhealthgroup.com/newsroom/research-reports/posts/2022-07-uhg-special-needs-children-families-experience-improvement.html.
  76. U.S. Government Accountability Office. 2021. “Rare Diseases: Although Limited, Available Evidence Suggests Medical and Other Costs Can Be Substantial.” October 18, 2021. https://www.gao.gov/products/gao-22-104235.
  77. Wadman Meredith. 2016. “Updated: FDA Approves Drug That Rescues Babies with Fatal Neurodegenerative Disease.” Science, News: Health, December. 10.1126/science.aal0476. [DOI] [Google Scholar]
  78. Werner Anne, and Malterud Kirsti. 2003. “It Is Hard Work Behaving as a Credible Patient: Encounters between Women with Chronic Pain and Their Doctors.” Social Science & Medicine 57 (8): 1409–19. 10.1016/S0277-9536(02)00520-8 [DOI] [PubMed] [Google Scholar]
  79. Wiltshire Jacqueline, Cronin Kate, Sarto Gloria E., and Brown Roger. 2006. “Self-Advocacy during the Medical Encounter: Use of Health Information and Racial/Ethnic Differences.” Medical Care 44 (2): 100–109. https://www.jstor.org/stable/3768379. [DOI] [PubMed] [Google Scholar]

RESOURCES