Conducting a large, multi-site survey about patients' views on broad consent: challenges and solutions

Ethical frameworks of informed consent in the age of pediatric precision medicine

Precision medicine is an emergent medical paradigm that uses information technology to inform the use of targeted therapies and treatments. One of the first steps of precision medicine involves acquiring the patient's informed consent to protect their rights to autonomous medical decision-making. In pediatrics, there exists mixed recommendations and guidelines of consent-related practices designed to safeguard pediatric patient interests while protecting their autonomy. Here, we provide a high-level, clinical primer of (1) ethical informed consent frameworks widely used in clinical practice and (2) promising modern adaptations to improve informed consent practices in pediatric precision medicine. Given the rapid scientific advances and adoption of precision medicine, we highlight the dual need to both consider the clinical implementation of consent in pediatric precision medicine workflows as well as build rapport with pediatric patients and their substitute decision-makers working alongside interdisciplinary health teams.

Studying the impact of translational genomic research: Lessons from eMERGE

Two major goals of the Electronic Medical Record and Genomics (eMERGE) Network are to learn how best to return research results to patient/participants and the clinicians who care for them and also to assess the impact of placing these results in clinical care. Yet since its inception, the Network has confronted a host of challenges in achieving these goals, many of which had ethical, legal, or social implications (ELSIs) that required consideration. Here, we share impediments we encountered in recruiting participants, returning results, and assessing their impact, all of which affected our ability to achieve the goals of eMERGE, as well as the steps we took to attempt to address these obstacles. We divide the domains in which we experienced challenges into four broad categories: (1) study design, including recruitment of more diverse groups; (2) consent; (3) returning results to participants and their health care providers (HCPs); and (4) assessment of follow-up care of participants and measuring the impact of research on participants and their families. Since most phases of eMERGE have included children as well as adults, we also address the particular ELSI posed by including pediatric populations in this research. We make specific suggestions for improving translational genomic research to ensure that future projects can effectively return results and assess their impact on patient/participants and providers if the goals of genomic-informed medicine are to be achieved.

Survey design and analysis considerations when utilizing misclassified sampling strata

BACKGROUND

A large multi-center survey was conducted to understand patients' perspectives on biobank study participation with particular focus on racial and ethnic minorities. In order to enrich the study sample with racial and ethnic minorities, disproportionate stratified sampling was implemented with strata defined by electronic health records (EHR) that are known to be inaccurate. We investigate the effect of sampling strata misclassification in complex survey design.

METHODS

Under non-differential and differential misclassification in the sampling strata, we compare the validity and precision of three simple and common analysis approaches for settings in which the primary exposure is used to define the sampling strata. We also compare the precision gains/losses observed from using a disproportionate stratified sampling scheme compared to using a simple random sample under varying degrees of strata misclassification.

RESULTS

Disproportionate stratified sampling can result in more efficient parameter estimates of the rare subgroups (race/ethnic minorities) in the sampling strata compared to simple random sampling. When sampling strata misclassification is non-differential with respect to the outcome, a design-agnostic analysis was preferred over model-based and design-based analyses. All methods yielded unbiased parameter estimates but standard error estimates were lowest from the design-agnostic analysis. However, when misclassification is differential, only the design-based method produced valid parameter estimates of the variables included in the sampling strata.

CONCLUSIONS

In complex survey design, when the interest is in making inference on rare subgroups, we recommend implementing disproportionate stratified sampling over simple random sampling even if the sampling strata are misclassified. If the misclassification is non-differential, we recommend a design-agnostic analysis. However, if the misclassification is differential, we recommend using design-based analyses.

Bio-behavioural research in a rare disease population: a doctoral student's experience

BACKGROUND

Novice researchers who aspire to contribute to the body of knowledge concerning rare diseases face unique challenges in developing and conducting studies. These include unknown effect sizes in previous research, limitations in recruitment and enrolment, and managing data from a multi-site sample.

AIM

To describe the challenges in researching rare diseases and possible solutions using a doctoral student exemplar from a cross-sectional correlational study of fatigue.

DISCUSSION

The authors discuss the lessons learned from the study, including the challenges in recruitment, communication, collecting biological data and managing data in general. They posit possible solutions, including improving multi-site coordination, feasible methods for exploring sleep and stress, and measures to prevent equipment and data loss.

CONCLUSION

Rare populations, such as young survivors of childhood brain tumours, deserve a voice in building the body of knowledge needed for more precise, personalised healthcare. It is possible with foresight for the novice researcher to make such a contribution.

IMPLICATIONS FOR PRACTICE

Improved knowledge and assessment of symptoms during childhood will improve the detection of health risk factors and enable earlier intervention.

Research participant understanding and engagement in an institutional, self-consent biobank model

The number of institutional and governmental biobanks and the target enrollment sizes of modern biobanks are increasing, affording more opportunities for the public to participate in biobanking efforts. In parallel with these expansions are pressures to increase the efficiency of obtaining informed consent using shorter consent forms that cover a broader scope of research and increasingly include provisions for return of research or clinical genetic test results to participants. Given these changes, how well these participants understand genetics, their level of understanding of what they are consenting to, and their wishes to engage longitudinally and receive biobank results are not well understood. We surveyed participants in a large, medical system-based biobank who had enrolled through a two-page, self-consent process about their baseline knowledge of genetics, understanding and recall of the consent process, wishes for future contact and engagement, and level of interest in receiving clinical genetic testing results. A total of 856 consented persons participated in the survey (67% women; 67% white). Participants' general reported genetics knowledge was relatively high (mean 11.60 of 15 questions answered correctly) as was recall of key elements from the two-page consent form. Overall participant enthusiasm for future contact by the biobank and for receiving clinical genetic testing results was high. The use of a two-page, self-consent process in a large, institutional biobank resulted in high levels of consent recall and enthusiasm for future ongoing engagement and receipt of genetic testing results by participants.

Is Real-Time ELSI Realistic?

Background: A growing literature has raised-skeptically-the question of whether cutting-edge scientific research can identify and address broader ethical and policy considerations in real time. In genomics, the question is: Can ELSI contribute to genomics in real time, or will it be relegated to its historical role of after-the-fact outsider critique? We address this question against the background of a genomic screening project where we participated as embedded, real-time ELSI researchers and observers, from its initial design through its conclusion.Methods: As part of the ELSI study design, the project included an ongoing reflexive ethnography in which the authors studied the process of its design and implementation. The authors were true participant observers, serving as members of various task-oriented groups while recording meetings and other events for ongoing qualitative analysis. We also conducted and analyzed interviews of multiple participants at the conclusion of the project.Results: Our real-time ELSI initiative had a mixed record of successes and challenges. If we define success as ELSI researchers having had an opportunity to participate fully in the project and to make the ELSI perspective heard, then our assessment is largely positive. If, however, we define successes as instances where real-time ELSI contributions changed the direction of the genomic or public health aspects of the GeneScreen project or, after careful deliberation, confirmed the appropriateness of the status quo, then we can identify only a few examples. While we had a seat at the table, we were, for the most part, tolerated guests.Conclusions: We conclude that there are significant barriers to real-time ELSI influence. The difficulty does not reside in any intended exclusion of an ELSI perspective, but in factors endemic to genomic research, including knowledge disparities, epistemological biases, and the pressures of time and money.

Enrichment sampling for a multi-site patient survey using electronic health records and census data

Objective

We describe a stratified sampling design that combines electronic health records (EHRs) and United States Census (USC) data to construct the sampling frame and an algorithm to enrich the sample with individuals belonging to rarer strata.

Materials and Methods

This design was developed for a multi-site survey that sought to examine patient concerns about and barriers to participating in research studies, especially among under-studied populations (eg, minorities, low educational attainment). We defined sampling strata by cross-tabulating several socio-demographic variables obtained from EHR and augmented with census-block-level USC data. We oversampled rarer and historically underrepresented subpopulations.

Results

The sampling strategy, which included USC-supplemented EHR data, led to a far more diverse sample than would have been expected under random sampling (eg, 3-, 8-, 7-, and 12-fold increase in African Americans, Asians, Hispanics and those with less than a high school degree, respectively). We observed that our EHR data tended to misclassify minority races more often than majority races, and that non-majority races, Latino ethnicity, younger adult age, lower education, and urban/suburban living were each associated with lower response rates to the mailed surveys.

Discussion

We observed substantial enrichment from rarer subpopulations. The magnitude of the enrichment depends on the accuracy of the variables that define the sampling strata and the overall response rate.

Conclusion

EHR and USC data may be used to define sampling strata that in turn may be used to enrich the final study sample. This design may be of particular interest for studies of rarer and understudied populations.

Parents' attitudes toward consent and data sharing in biobanks: A multisite experimental survey

BACKGROUND

The factors influencing parents' willingness to enroll their children in biobanks are poorly understood. This study sought to assess parents' willingness to enroll their children, and their perceived benefits, concerns, and information needs under different consent and data-sharing scenarios, and to identify factors associated with willingness.

METHODS

This large, experimental survey of patients at the 11 eMERGE Network sites used a disproportionate stratified sampling scheme to enrich the sample with historically underrepresented groups. Participants were randomized to receive one of three consent and data-sharing scenarios.

RESULTS

In total, 90,000 surveys were mailed and 13,000 individuals responded (15.8% response rate). 5737 respondents were parents of minor children. Overall, 55% (95% confidence interval 50-59%) of parents were willing to enroll their youngest minor child in a hypothetical biobank; willingness did not differ between consent and data-sharing scenarios. Lower educational attainment, higher religiosity, lower trust, worries about privacy, and attitudes about benefits, concerns, and information needs were independently associated with less willingness to allow their child to participate. Of parents who were willing to participate themselves, 25% were not willing to allow their child to participate. Being willing to participate but not willing to allow one's child to participate was independently associated with multiple factors, including race, lower educational attainment, lower annual household income, public health care insurance, and higher religiosity.

CONCLUSIONS

Fifty-five percent of parents were willing to allow their youngest minor child to participate in a hypothetical biobank. Building trust, protecting privacy, and addressing attitudes may increase enrollment and diversity in pediatric biobanks.

Public Attitudes toward Consent and Data Sharing in Biobank Research: A Large Multi-site Experimental Survey in the US

Individuals participating in biobanks and other large research projects are increasingly asked to provide broad consent for open-ended research use and widespread sharing of their biosamples and data. We assessed willingness to participate in a biobank using different consent and data sharing models, hypothesizing that willingness would be higher under more restrictive scenarios. Perceived benefits, concerns, and information needs were also assessed. In this experimental survey, individuals from 11 US healthcare systems in the Electronic Medical Records and Genomics (eMERGE) Network were randomly allocated to one of three hypothetical scenarios: tiered consent and controlled data sharing; broad consent and controlled data sharing; or broad consent and open data sharing. Of 82,328 eligible individuals, exactly 13,000 (15.8%) completed the survey. Overall, 66% (95% CI: 63%-69%) of population-weighted respondents stated they would be willing to participate in a biobank; willingness and attitudes did not differ between respondents in the three scenarios. Willingness to participate was associated with self-identified white race, higher educational attainment, lower religiosity, perceiving more research benefits, fewer concerns, and fewer information needs. Most (86%, CI: 84%-87%) participants would want to know what would happen if a researcher misused their health information; fewer (51%, CI: 47%-55%) would worry about their privacy. The concern that the use of broad consent and open data sharing could adversely affect participant recruitment is not supported by these findings. Addressing potential participants' concerns and information needs and building trust and relationships with communities may increase acceptance of broad consent and wide data sharing in biobank research.