Advantages and limitations of online communities of patients for research on health products
Abstract
The way patients and their caregivers share information on various online platforms about health topics and their own experiential knowledge presents new potential environments for research, particularly as concerns health products. The information provided individually and voluntarily by patients who are members of these online communities is a new resource for identifying and understanding precisely how health products are used, assessing their effectiveness, quantifying potential adverse effects in real-life situations, detecting subtle signs that are significant for experts in pharmacovigilance and addiction studies, and developing new assessment tools to help form new working hypotheses. How patients freely express their experiences and feelings and the reality of what they share also opens the way for societal research into health products, a field that is still under-explored. Well-established regulations govern research into health products, which uses resources and methodologies that have changed little over the years. However, the development of online communities of patients presents new possibilities in this field. The challenge we face today is defining their place among traditional research techniques. This place cannot be accepted by all stakeholders unless we first establish a firm understanding of the advantages, limitations, and constraints of these communities. The round table on this topic endeavoured to: explore these issues and develop a better understanding of the phenomenon and the different varieties of online communities and networks for patients; identify possible advantages, special features, and methodological, regulatory, and ethical limitations that researchers currently face; and finally, to put forward the first recommendations in this growing field of research.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
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?
The use of patient platforms limits the researcher's ability to include individuals who do not have access to the online tool and thus may lead to a potential recruitment bias.
“The use of patient platforms, however, limits the researcher’s ability to include individuals who do not have access to the online tool and thus may lead to a potential recruitment bias [24].”
Cites
Attai, D. J., Cowher, M. S., Al-Hamadani, M., Schoger, J. M., Staley, A. C., & Landercasper, J. (2015) · Journal of Medical Internet Research · doi:10.2196/jmir.4721 · Cited by 357 · see citing works
Digital Drug Safety Surveillance: Monitoring Pharmaceutical Products in Twitter
Freifeld, C. C., Brownstein, J. S., Menone, C. M., Bao, W., Filice, R. W., Kass‐Hout, T., & Dasgupta, N. (2014) · Drug Safety · doi:10.1007/s40264-014-0155-x · Cited by 267 · see citing works
Tran, V.-T., Harrington, M. A., Montori, V. M., Barnes, C., Wicks, P. J., & Ravaud, P. (2014) · BMC Medicine · doi:10.1186/1741-7015-12-109 · Cited by 266 · see citing works
The subjective experience of taking antipsychotic medication: a content analysis of Internet data
Moncrieff, J., Cohen, D., & Mason, J. (2009) · Acta Psychiatrica Scandinavica · doi:10.1111/j.1600-0447.2009.01356.x · Cited by 154 · see citing works
Drugs on the web; the Psychonaut 2002 EU project
Schifano, F., Deluca, P., Baldacchino, A., Peltoniemi, T., Scherbaum, N., Torrens, M., Farré, M., Flores, I., Rossi, M., Eastwood, D., et al. (2006) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2005.11.035 · Cited by 101 · see citing works
Social Media Listening for Routine Post-Marketing Safety Surveillance
Powell, G. E., Seifert, H., Reblin, T., Burstein, P. J., Blowers, J., Menius, J. A., Painter, J. L., Thomas, M. D., Pierce, C. E., Rodriguez, H. W., et al. (2016) · Drug Safety · doi:10.1007/s40264-015-0385-6 · Cited by 95 · see citing works
Patient-Reported Outcomes, Patient-Reported Information
Baldwin, M., Spong, A., Doward, L. C., & Gnanasakthy, A. (2011) · Patient · doi:10.2165/11585530-000000000-00000 · Cited by 49 · see citing works
Factors in Patient Empowerment: A Survey of an Online Patient Research Network
Chiauzzi, E. J., DasMahapatra, P., Cochin, E., Bunce, M. M., Khoury, R. R., & Dave, P. (2016) · Patient · doi:10.1007/s40271-016-0171-2 · Cited by 44 · see citing works
Pereira, S., Névéol, A., Kerdelhué, G., et al. (2008) · PubMed · Cited by 42 · see citing works
Wicks, P. J., Brandes, D. W., Park, J., Liakhovitski, D., Koudinova, T., & Sasané, R. (2015) · Interactive Journal of Medical Research · doi:10.2196/ijmr.3776 · Cited by 41 · see citing works
UMLF: a unified medical lexicon for French
Zweigenbaum, P., Baud, R. H., Burgun, A., et al. (2004) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2004.03.010 · Cited by 38 · see citing works
Taam, M. A., Rossard, C., Palosse-Cantaloube, L., Bouscaren, N., Roche, G., Pochard, L., Montastruc, F., Herxheimer, A., Montastruc, J., & Bagheri, H. (2013) · Journal of Clinical Pharmacy and Therapeutics · doi:10.1111/jcpt.12103 · Cited by 37 · see citing works
Self-citationRothman, M. L., Gnanaskathy, A., Wicks, P. J., & Papadopoulos, E. J. (2015) · Value in Health · doi:10.1016/j.jval.2014.10.001 · Cited by 37 · see citing works
de la Loge, C., Dimova, S., Mueller, K., Phillips, G., Durgin, T. L., Wicks, P. J., & Borghs, S. (2016) · Epilepsy & Behavior · doi:10.1016/j.yebeh.2016.07.035 · Cited by 35 · see citing works
McCarrier, K. P., Bull, S. A., Fleming, S., Simacek, K. F., Wicks, P. J., Cella, D. F., & Pierson, R. F. (2015) · Value in Health · doi:10.1016/j.jval.2015.10.013 · Cited by 25 · see citing works
Analysis of chats on French internet forums about drugs and pregnancy
Palosse-Cantaloube, L., Lacroix, I., Rousseau, V., et al. (2014) · Pharmacoepidemiology and Drug Safety · doi:10.1002/pds.3709 · Cited by 24 · see citing works
Meunier, B., Jourde‐Chiche, N., Mancini, J., Chekroun, M., Rétornaz, F., & Chiche, L. (2015) · Lupus · doi:10.1177/0961203315610644 · Cited by 20 · see citing works
Self-citationWhat Do Ovarian Cancer Patients Expect From Treatment?
Simacek, K. F., Raja, P., Chiauzzi, E. J., Eek, D., & Halling, K. (2016) · Cancer Nursing · doi:10.1097/ncc.0000000000000415 · Cited by 18 · see citing works
Partnering with patients using social media to develop a hypertension management instrument
Kear, T., Harrington, M. A., & Bhattacharya, A. (2015) · Journal of the American Society of Hypertension · doi:10.1016/j.jash.2015.07.006 · Cited by 14 · see citing works
Cyberpharmacovigilance: What is the usefulness of the social networks in pharmacovigilance?
Bagheri, H., Lacroix, I., Bondon‐Guitton, E., Damase‐Michel, C., & Montastruc, J. (2016) · Therapies · doi:10.1016/j.therap.2015.09.002 · Cited by 14 · see citing works
“Big data” and “open data”: What kind of access should researchers enjoy?
Châtellier, G., Varlet, V., Blachier, C., Beslay, N., Béhier, J., Braunstein, D., Caralp, M., Congard-Chassol, B., Diaz, I., Fournier, L. S., et al. (2016) · Therapies · doi:10.1016/j.therap.2016.01.005 · Cited by 13 · see citing works
Self-citationKheloufi, F., Default, A., Blin, O. J., & Micallef, J. (2016) · Therapies · doi:10.1016/j.therap.2016.10.004 · Cited by 13 · see citing works
Self-citation« Big data » et « open data » : quel accès pour la recherche ?
Châtellier, G., Varlet, V., Blachier, C., Beslay, N., Béhier, J., Braunstein, D., Caralp, M., Congard-Chassol, B., Diaz, I., Fournier, L. S., et al. (2016) · Therapies · doi:10.1016/j.therap.2016.01.004 · Cited by 11 · see citing works
Self-citationBlin, R. (2016) · HAL (Le Centre pour la Communication Scientifique Directe) · Cited by 2 · see citing works
(1983) · Drug Information Journal · doi:10.1177/009286158301700211 · Cited by 1 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Roborel de Climens, A., Pain, E., Boss, A., & Shaunik, A. (2020) · Diabetes Therapy · doi:10.1007/s13300-020-00843-9 · Cited by 38 · see citing works
- Authors
- Ravoire, S., Lang, M., Perrin, E., Audry, A., Bilbault, P., Chekroun, M., Demerville, L., Escudier, T., Guéroult-Accolas, L., Guillot, C., Malbezin, M., Maugendre, P., Micallef, J., Molimard, M., Montastruc, F., Pierron, E., Reichardt, L., & Thiessard, F.
- Affiliations
- Medtronic (France) (FR)
- Boehringer Ingelheim (France) (FR)
- Assistance Publique – Hôpitaux de Paris (FR)
- Hospices Civils de Lyon (FR)
- Sanofi (France) (FR)
- Hôpital de la Timone (FR)
- Centre Hospitalier Universitaire de Toulouse (FR)
- Université de Bordeaux (FR)
- Corresponding author
- Ravoire, Sophie
- Venue
- Therapies
- Publisher
- Elsevier BV
- Published
- 2017-02
- Volume
- 72
- Issue
- 1
- Pages
- 135-143
- ISSN
- 0040-5957 (ISSN-L)
- OpenAlex
- W2570465947
- Cited by
- 31
- References
- 25
- Citations by year
- 2025: 2 · 2024: 3 · 2023: 3 · 2022: 3 · 2021: 8 · 2020: 5 · 2019: 4 · 2018: 2 · 2017: 1
- FWCI
- 5.30
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Therapies (publishedVersion)
- PubMed (publishedVersion)
- HAL AMU (submittedVersion)
- Topics
- Health Sciences › Health Professions › General Health Professions › Health Literacy and Information Accessibility
- Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Toxicology › Pharmacovigilance and Adverse Drug Reactions
- Social Sciences › Health › Social Media in Health Education
- Keywords
- health products, patient experience, pharmacovigilance, adverse effects, real-world evidence, research ethics, regulatory challenges, patient networks, research methodology, health product regulation
- MeSH terms
- Humans, Social Support, Internet, Consumer Health Information, Social Media
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