Crowdsourced health studies

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David Lee Scher, MD, FACC, FHRS Digitalhealthconsultants.com

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Transcript of Crowdsourced health studies

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Crowd Sourced Health Care Studies: Implications for Pharma

David Lee Scher, MD, FACC, FHRSDigitalhealthconsultants.com

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“The most valuable commodity that I know of is information”. –Gordon Gekko

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Definition

• “The practice of obtaining participants, services, ideas, or content by soliciting contributions from a large group of people, especially via the Internet.”

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Crowdsourced Health Studies

• Convergence of three phenomena:–Citizen science–Crowdsourcing–Health 2.0

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Areas of Research

• Drug response • Disease research• User experience in crowdsourced studies• Genetic association

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Why Crowdsourced Studies? Critique of Traditional Studies

• Selection bias• Limited geographies• Surrogate end points• Short-term follow-up• Few comparative studies• COIs

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Advantages of Crowdsourced Studies

• Shortened study time.• Facilitate recruitment of patients with rare

diseases over widely dispersed areas.• Easy availability of control patients.• Lower cost.• Patient engagement (peer group interaction).

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Critique of Crowdsourced Health Studies

• Lack of verification of disease presence, intervention, or reported data accuracy.

• ? Capacity of patients to report.• One study: data as good or better than

traditional samples*• Study design: protocol, bias, funding• Regulation and oversight (IRB, consent forms)

*Behrend TS, Sharek DJ, Meade AW, Wiebe EN. The viability of crowdsourcing for survey research. Behav Res Methods 2011;43(3):800-813.

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Crowdsourced Health Care Studies: Classification

• Researcher-organized studies

• Participant-organized studies

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Researcher-Organized Studies

• PatientsLikeMe–Self-reported data–Survey questionnaires

–23andME– Genotyping data– Survey questionnaires

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PatientsLikeMe

• 125,000 members• 1000+ condition communities• 25 published peer review journal articles

23and Me• >100,000 subscribers

Open innovation: • Harvard’s InnoCentive Program.

– NIH-funded study of type I DM. – Question divorced from answers.

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PatientsLikeMe: ALS Lithium StudyAccelerated clinical discovery using self-reported patient data collected online and a patient-matching algorithm. Wicks P, Vaughan TE, Massagli MP, Heywood J. Nature Biotechnology 29, 411–414 (2011) doi:10.1038/nbt.1837

• Study of effect of Lithium on progression of ALS.

• Study drug had no positive effect on disease.• Landmark trial of crowdsourcing technique.

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Participant-Organized Studies

• Genomics: Genomera, DIY– Genotyping data– Blood test results– Self-reported data– Survey Questionnaires

• Self-tracking:Quantified Self, Curetogether– Self-tracking data (sensors)– Self reporting data

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Self-Tracking: Curetogether.com

• Symptoms• Treatments

–Attempted–Efficacy–Adverse events/side effects

• Perceived precipitants or causes of disease

• Comments, observations

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Crowdsourced Health Studies: Applications to Pharma

• Post-market efficacy and AE surveillance• Comparative studies• Genomic-phenotype efficacy/safety

studies• Medication adherence studies• Marketing efficacy studies

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Crowdsourced Health Studies: Applications to Pharma

• Improve image of Pharma• Increased patient engagement->

increased adherence• Source of marketing data• Discover genetic/geographic variances in

response to meds• Facilitate personalized medicine

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“If you ask me a question I don’t know, I’m not going to answer.”

------Yogi Berra