Abstract 4139180: Navigating Trust and Preferences in Research Data Sharing: Addressing Racial Disparities for Inclusive Research Practices

Objective: Contemporary data sharing policies from the National Institutes of Health have expanded data sharing. Participants' perspectives are not well understood and could have an adverse impact on participation in cardiac research. We evaluated participants' preferences for health data, and strategies to enhance trust in data sharing practices. Methods: In March 2023, we conducted a nationally representative online survey with 610 US adults. We implemented a cross-sectional survey that assessed: (1) participant preferences about health data they are willing to share with external entities (e.g. health policy institutions, public health organizations, health technology companies, private foundations, etc), and (2) the impact on trust in research if participants could decide which external recipients (e.g, clinical symptom, biological, mental health, sexual health) receive the data. We used logistic regression models to assess sociodemographic variances in their willingness to share different types of data. Results: Among 610 participants, the mean age was 46 years (± 16; range 19-93) of which 50% were female, 77% identified as White and 7% identified as Hispanic/Latinx. Figure 1 shows the adjusted odds ratio (ORs) and 95% confidence intervals (95% CI) for willingness to share different data types with public health institutions and health technology companies by self-reported race. Black participants were significantly less likely to share most health data with public health organizations, including mental health (biological (OR: 0.562 [95% CI 0.342, 0.920]), clinical symptom (OR:0.455 [95% CI 0.275, 0.756]), and imaging data (OR:0.488 [95% CI 0.258, 0.714]) compared to White participants. Fewer racial differences were noted for sharing different types of data with health technology companies. Moreover, 63% of participants expressed that their trust in researchers would improve if given control over the data recipients (Figure 2). DISCUSSION: Participants exhibit reluctance to share specific types of personal research data, emphasizing strong preferences regarding external data access. This highlights the need for a critical reassessment of current data sharing policies to align with participant concerns. Conclusion: It is imperative for data sharing policies to integrate diverse patient viewpoints to mitigate the risk of distrust and a potential unintended consequence of lower participation among racial and ethnic minority participants in cardiac research.

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Publication Details

Journal
Circulation
Published
2024-11-12
DOI
https://doi.org/10.1161/circ.150.suppl_1.4139180
Primary Topic
Ethics in Clinical Research
Type
article
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article

Abstract 4139180: Navigating Trust and Preferences in Research Data Sharing: Addressing Racial Disparities for Inclusive Research Practices

Ruth Masterson Creber, Yihong Zhao, Sergio Rivera, Sarah Eslami
Circulation
Ethics in Clinical Research
article

Abstract 4139180: Navigating Trust and Preferences in Research Data Sharing: Addressing Racial Disparities for Inclusive Research Practices

Ruth Masterson Creber, Yihong Zhao, Sergio Rivera, Sarah Eslami
article en

Abstract

Objective: Contemporary data sharing policies from the National Institutes of Health have expanded data sharing. Participants' perspectives are not well understood and could have an adverse impact on participation in cardiac research. We evaluated participants' preferences for health data, and strategies to enhance trust in data sharing practices. Methods: In March 2023, we conducted a nationally representative online survey with 610 US adults. We implemented a cross-sectional survey that assessed: (1) participant preferences about health data they are willing to share with external entities (e.g. health policy institutions, public health organizations, health technology companies, private foundations, etc), and (2) the impact on trust in research if participants could decide which external recipients (e.g, clinical symptom, biological, mental health, sexual health) receive the data. We used logistic regression models to assess sociodemographic variances in their willingness to share different types of data. Results: Among 610 participants, the mean age was 46 years (± 16; range 19-93) of which 50% were female, 77% identified as White and 7% identified as Hispanic/Latinx. Figure 1 shows the adjusted odds ratio (ORs) and 95% confidence intervals (95% CI) for willingness to share different data types with public health institutions and health technology companies by self-reported race. Black participants were significantly less likely to share most health data with public health organizations, including mental health (biological (OR: 0.562 [95% CI 0.342, 0.920]), clinical symptom (OR:0.455 [95% CI 0.275, 0.756]), and imaging data (OR:0.488 [95% CI 0.258, 0.714]) compared to White participants. Fewer racial differences were noted for sharing different types of data with health technology companies. Moreover, 63% of participants expressed that their trust in researchers would improve if given control over the data recipients (Figure 2). DISCUSSION: Participants exhibit reluctance to share specific types of personal research data, emphasizing strong preferences regarding external data access. This highlights the need for a critical reassessment of current data sharing policies to align with participant concerns. Conclusion: It is imperative for data sharing policies to integrate diverse patient viewpoints to mitigate the risk of distrust and a potential unintended consequence of lower participation among racial and ethnic minority participants in cardiac research.

CirculationVol. 150(Suppl_1)
Columbia University (US)
Gender equality
Openalex Percentile: Top 69%
Ethics in Clinical Research
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