Willingness to Participate in a National Precision Medicine Cohort: Attitudes of Chronic Kidney Disease Patients at a Cleveland Public Hospital
Open accessAbstract
Multiple ongoing, government-funded national efforts longitudinally collect health data and biospecimens for precision medicine research with ascertainment strategies increasingly emphasizing underrepresented groups in biomedical research. We surveyed chronic kidney disease patients from an academic, public integrated tertiary care system in Cleveland, Ohio, to examine local attitudes toward participation in large-scale government-funded studies. Responses (n = 103) indicate the majority (71%) would participate in a hypothetical national precision medicine cohort and were willing to send biospecimens to a national repository and share de-identified data, but <50% of respondents were willing to install a phone app to track personal data. The majority of participants (62%) indicated that return of research results was very important, and the majority (54%) also wanted all of their research-collected health and genetic data returned. Response patterns did not differ by race/ethnicity. Overall, we found high willingness to participate among this Cleveland patient population already participating in a local genetic study. These data suggest that despite common perceptions, subjects from communities traditionally underrepresented in genetic research will participate and agree to store samples and health data in repositories. Furthermore, most participants want return of research results, which will require a plan to provide these data in a secure, accessible, and understandable manner.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Significantly fewer patients support the use of smartphone apps to track lifestyle, behavior or environmental influences.
“Significantly fewer patients support the use of smartphone apps to track lifestyle, behavior or environmental influences [72, 76, 77].”
From Patients’ and professionals’ views related to ethical issues in precision medicine: a mixed research synthesis (2021) · cites this paper as [72]
The Results report that 44.66% of surveyed chronic kidney disease patients were willing to install a phone app to track lifestyle, behaviors, and environmental exposures, compared with 71.29% willing to participate in a biorepository. The Discussion likewise describes about a 25-percentage-point gap. The paper does not report a statistical test establishing that this difference was significant; its significance tests concern responses stratified by race or sex. (LLM, conf=0.85)
Experimental — accuracy not yet measuredAmong patients there is also a high readiness to participate in trials and donate data or biospecimens.
“Among patients there is also a high readiness to participate in trials and donate data or biospecimens [62, 70, 72, 76, 77, 98, 99], but trust in professionals [98, 101], costs, receiving counseling about test results and privacy [101], as well as the donor’s religion and culture [98] seem to be important for the decision.”
From Patients’ and professionals’ views related to ethical issues in precision medicine: a mixed research synthesis (2021) · cites this paper as [72]
The Results report that 71.29% of surveyed chronic kidney disease patients were willing to participate in a national biorepository, and the Abstract says respondents were willing to send biospecimens and share de-identified data. The study assessed willingness to join a hypothetical research cohort, not willingness to participate in clinical trials. (LLM, conf=0.84)
Experimental — accuracy not yet measuredSeveral quantitative studies indicate that patients want to be fully informed about tests, the results and treatment options.
“Several quantitative studies indicate that patients want to be fully informed about tests [71], the results [51, 71, 72, 78] and treatment options [29].”
From Patients’ and professionals’ views related to ethical issues in precision medicine: a mixed research synthesis (2021) · cites this paper as [72]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Flesch, R. (1948) · Journal of Applied Psychology · doi:10.1037/h0057532 · Cited by 5,391 · see citing works
A New Initiative on Precision Medicine
Collins, F. S., & Varmus, H. (2015) · New England Journal of Medicine · doi:10.1056/nejmp1500523 · Cited by 5,202 · see citing works
Kincaid, J. P., Fishburne, Jr., Robert P., R., Richard L., C., & Brad, S. (1975) · doi:10.21236/ada006655 · Cited by 3,497 · see citing works
Million Veteran Program: A mega-biobank to study genetic influences on health and disease
Gaziano, J. M., Concato, J., Brophy, M., Fiore, L., Pyarajan, S., Breeling, J., Whitbourne, S., Deen, J., Shannon, C., Humphries, D., et al. (2016) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2015.09.016 · Cited by 1,055 · see citing works
Khoury, M. J., GWINN, M. L., Yoon, P. W., Dowling, N. F., Moore, C. A., & Bradley, L. (2007) · Genetics in Medicine · doi:10.1097/gim.0b013e31815699d0 · Cited by 708 · see citing works
Bustamante, C. D., Vega, F. M. D. L., & Burchard, E. G. (2011) · Nature · doi:10.1038/475163a · Cited by 594 · see citing works
Prioritizing diversity in human genomics research
Hindorff, L. A., Bonham, V. L., Brody, L. C., Ginoza, M. E. C., Hutter, C. M., Manolio, T. A., & Green, E. D. (2018) · Nature Reviews Genetics · doi:10.1038/nrg.2017.89 · Cited by 386 · see citing works
Public Expectations for Return of Results from Large-Cohort Genetic Research
Murphy, J., Scott, J. A., Kaufman, D., Geller, G., LeRoy, L., & Hudson, K. (2008) · The American Journal of Bioethics · doi:10.1080/15265160802513093 · Cited by 276 · see citing works
Sankar, P. L., & Parker, L. S. (2016) · Genetics in Medicine · doi:10.1038/gim.2016.183 · Cited by 276 · see citing works
Disclosing Individual Results of Clinical Research: Implications of Respect for Participants
Shalowitz, D. I., & Miller, F. G. (2005) · JAMA · doi:10.1001/jama.294.6.737 · Cited by 265 · see citing works
Shalowitz, D. I., & Miller, F. G. (2008) · PLoS Medicine · doi:10.1371/journal.pmed.0050091 · Cited by 261 · see citing works
Sanderson, S. C., Brothers, K. B., Mercaldo, N. D., Clayton, E. W., Antommaria, A. H. M., Aufox, S. A., Brilliant, M. H., Campos, D., Carrell, D., Connolly, J. J., et al. (2017) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2017.01.021 · Cited by 241 · see citing works
Subjects matter: a survey of public opinions about a large genetic cohort study
Kaufman, D., Murphy, J., Scott, J. A., & Hudson, K. (2008) · Genetics in Medicine · doi:10.1097/gim.0b013e31818bb3ab · Cited by 200 · see citing works
Consent for genetic research in a general population: The NHANES experience
McQuillan, G. M., Porter, K. S., Agelli, M., & Kington, R. S. (2003) · Genetics in Medicine · doi:10.1097/00125817-200301000-00006 · Cited by 149 · see citing works
Assessing the understanding of biobank participants
Ormond, K. E., Cirino, A. L., Helenowski, I., Chisholm, R. L., & Wolf, W. A. (2009) · American Journal of Medical Genetics Part A · doi:10.1002/ajmg.a.32635 · Cited by 128 · see citing works
Data analysis: Create a cloud commons
Stein, L. D., Knoppers, B. M., Campbell, P. J., Getz, G. A., & Korbel, J. O. (2015) · Nature · doi:10.1038/523149a · Cited by 110 · see citing works
Kaufman, D., Baker, R. G., Milner, L. C., Devaney, S. A., & Hudson, K. (2016) · PLoS ONE · doi:10.1371/journal.pone.0160461 · Cited by 99 · see citing works
McCarty, C. A., Nair, A., Austin, D. M., & Giampietro, P. F. (2007) · Public Health Genomics · doi:10.1159/000096274 · Cited by 87 · see citing works
McQuillan, G. M., Pan, Q., & Porter, K. S. (2006) · Genetics in Medicine · doi:10.1097/01.gim.0000223552.70393.08 · Cited by 77 · see citing works
Allen, N. L., Karlson, E. W., Malspeis, S., Lü, B., Seidman, C. E., & Lehmann, L. S. (2014) · Mayo Clinic Proceedings · doi:10.1016/j.mayocp.2014.03.015 · Cited by 61 · see citing works
Offering aggregate results to participants in genomic research: opportunities and challenges
Beskow, L. M., Burke, W., Fullerton, S. M., & Sharp, R. R. (2012) · Genetics in Medicine · doi:10.1038/gim.2011.62 · Cited by 60 · see citing works
Veterans' attitudes regarding a database for genomic research
Kaufman, D., Murphy, J., Erby, L. H., Hudson, K., & Scott, J. A. (2009) · Genetics in Medicine · doi:10.1097/gim.0b013e31819994f8 · Cited by 53 · see citing works
Somiari, S., & Somiari, R. I. (2015) · Advances in experimental medicine and biology · doi:10.1007/978-3-319-20579-3_2 · Cited by 49 · see citing works
Return of results in the genomic medicine projects of the eMERGE network
Kullo, I. J., Haddad, R. A., Prows, C. A., Holm, I. A., Sanderson, S. C., Garrison, N. A., Sharp, R. R., Smith, M. E., Kuivaniemi, H., Böttinger, E. P., et al. (2014) · Frontiers in Genetics · doi:10.3389/fgene.2014.00050 · Cited by 45 · see citing works
Fernandez, C. V., Ruccione, K. S., Wells, R. J., Long, J. B., Pelletier, W., Hooke, M. C., Pentz, R. D., Noll, R. B., Baker, J. N., O’Leary, M., et al. (2012) · Journal of Clinical Oncology · doi:10.1200/jco.2012.45.2086 · Cited by 36 · see citing works
Racial minority group interest in direct-to-consumer genetic testing: findings from the PGen study
the PGen Study Group, Landry, L. G., Nielsen, D. E., Carere, D. A., Roberts, J. S., & Green, R. C. (2017) · Journal of Community Genetics · doi:10.1007/s12687-017-0325-5 · Cited by 23 · see citing works
Return of individual genomic research results: what do consent forms tell participants?
Pereira, S., Robinson, J. O., & McGuire, A. L. (2016) · European Journal of Human Genetics · doi:10.1038/ejhg.2016.76 · Cited by 14 · see citing works
Consent for future genetic research: the NHANES experience in 2007-2008.
McQuillan, G. M., & Porter, K. S. (2011) · PubMed · Cited by 14 · see citing works
Perceptions regarding Genetic Testing in Populations at Risk for Nephropathy
Freedman, B. I., Fletcher, A. J., Sanghani, V. R., Spainhour, M. H., Graham, A. W., Russell, G. B., Bailey, J. N. C., Iltis, A. S., & King, N. M. P. (2013) · American Journal of Nephrology · doi:10.1159/000356244 · Cited by 14 · see citing works
Goldenberg, A. J., Marshall, P. A., & Sharp, R. R. (2013) · Personalized Medicine · doi:10.2217/pme.13.75 · Cited by 13 · see citing works
Self-citationHow Do Patients Respond to Genetic Testing for Age‐related Macular Degeneration?
McCarty, C. A., Fuchs, M., Lamb, A., & Conway, P. (2018) · Optometry and Vision Science · doi:10.1097/opx.0000000000001188 · Cited by 12 · see citing works
NIH's massive health study is off to a slowstart
Kaiser, J. (2017) · Science · doi:10.1126/science.357.6355.955 · Cited by 2 · see citing works
Flagged first, then by citations
2 of the 34 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Erdmann, A., Rehmann-Sutter, C., & Bozzaro, C. (2021) · BMC Medical Ethics · doi:10.1186/s12910-021-00682-8 · Cited by 86 · see citing works
Vears, D. F., Minion, J. T., Roberts, S. J., Cummings, J., Machirori, M., Blell, M. T., Budin‐Ljøsne, I., Cowley, L., Dyke, S. O. M., Gaff, C., et al. (2021) · PLoS ONE · doi:10.1371/journal.pone.0258646 · Cited by 75 · see citing works
Ahmed, L., Constantinidou, A., & Chatzittofis, A. (2023) · Frontiers in Medicine · doi:10.3389/fmed.2023.1215663 · Cited by 58 · see citing works
Trust and Trade-Offs in Sharing Data for Precision Medicine: A National Survey of Singapore
Lysaght, T., Ballantyne, A., Toh, H. J., Lau, A. W. T., Ong, S. A. K., Schaefer, G. O., Shiraishi, M., van den Boom, W., Xafis, V., & Tai, E. S. (2021) · Journal of Personalized Medicine · doi:10.3390/jpm11090921 · Cited by 30 · see citing works
Crawford, D. C., Bailey, J. N. C., & Briggs, F. B. S. (2019) · Human Genetics · doi:10.1007/s00439-019-02033-5 · Cited by 13 · see citing works
Self-citationCuccaro, M. L., Manrique, C. P., Quintero, M. A., Martinez, R., & McCauley, J. L. (2020) · Frontiers in Genetics · doi:10.3389/fgene.2020.00120 · Cited by 9 · see citing works
Views on Genomic Research Result Delivery Methods and Informed Consent: A Review
Vears, D. F., Minion, J. T., Roberts, S. J., Cummings, J., Machirori, M., & Murtagh, M. J. (2021) · Personalized Medicine · doi:10.2217/pme-2020-0139 · Cited by 8 · see citing works
Song, S., Ashton, M., Yoo, R. H., Lkhagvajav, Z., Wright, R. A., Mathews, D., & Taylor, C. O. (2024) · Journal of Medical Internet Research · doi:10.2196/51955 · Cited by 2 · see citing works
Crawford, D. C., Lin, J. P., Bailey, J. N. C., Kinzy, T. G., Sedor, J. R., O’Toole, J. F., & Bush, W. S. (2019) · Pacific Symposium on Biocomputing (PSB) · doi:10.1142/9789811215636_0051 · Cited by 2 · see citing works
Self-citationNephrologists’ Views on a Workflow for Returning Genetic Results to Research Participants
Weiss, R., Rasouly, H. M., Marasà, M., Fernández, H., Lin, F., & Sabatello, M. (2024) · Kidney International Reports · doi:10.1016/j.ekir.2024.08.026
Ecosystems-Centered Health and Care Innovation
(2025) · Frontiers research topics · doi:10.3389/978-2-8325-6081-5
Artificial intelligence and antiaging research
Arumugam, S., Muthuvel, R., Antony, B. S., Chandrasekaran, K., & Subbaraj, G. K. (2026) · Elsevier eBooks · doi:10.1016/b978-0-443-33159-6.00009-6
- Authors
- Cooke Bailey, J. N., Crawford, D. C., Goldenberg, A., Slaven, A., Pencak, J., Schachere, M., Bush, W. S., Sedor, J. R., & O’Toole, J. F.
- Affiliations
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH 44106, USA
- Case Western Reserve University (US)
- MetroHealth (US)
- Cleveland Clinic (US)
- ORCID
- Venue
- Journal of Personalized Medicine
- Publisher
- MDPI AG
- Published
- 2018-06-26
- Volume
- 8
- Issue
- 3
- Pages
- 21
- ISSN
- 2075-4426 (ISSN-L)
- PMC
- PMC6164471
- OpenAlex
- W2810285686
- Cited by
- 11
- References
- 34
- Citations by year
- 2026: 1 · 2024: 2 · 2023: 1 · 2021: 4 · 2020: 1 · 2019: 2
- FWCI
- 1.67
- Type
- journal article
- Language
- en
- Open access
- gold
- dx.doi.org
- Licence
- Locations
- Journal of Personalized Medicine (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Institutes of Health (KL2TR000440, DK097836, DK108329, DK083912, DK100846, DK114908)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Ethics in Clinical Research
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Ethics and bioethics in healthcare
- Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Health, Environment, Cognitive Aging
- Keywords
- chronic kidney disease, precision medicine, research participation, willingness to participate, biospecimen repository, return of research results, underrepresented groups, genetic research, mobile health apps, public hospital patients, race and ethnicity
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review