Evidence is lacking for patient-reported effectiveness of treatments for most medical conditions and specifically for lower back pain. In this paper, we examined a consumer-based social network that collects patients’ treatment ratings as a potential source of evidence. Acknowledging the potential biases of this data set, we used propensity score matching and generalized linear regression to account for confounding variables. To evaluate validity, we compared results obtained by analyzing the patient reported data to results of evidence-based studies. Overall, there was agreement on the relationship between back pain and being obese. In addition, there was agreement about which treatments were effective or had no benefit. The patients’ ratings also point to new evidence that postural modification treatment is effective and that surgery is harmful to a large proportion of patients….(More)”.
Is Crowdsourcing Patient-Reported Outcomes the Future of Evidence-Based Medicine?
How to contribute:
Did you come across – or create – a compelling project/report/book/app at the leading edge of innovation in governance?
Share it with us at info@thelivinglib.org so that we can add it to the Collection!
About the Curator
Get the latest news right in you inbox
Subscribe to curated findings and actionable knowledge from The Living Library, delivered to your inbox every Friday
Related articles
crowdsourcing
AI-enhanced crowdsourcing for disaster management: strengthening community resilience through social media
Posted in October 12, 2025 by Stefaan Verhulst
citizen science, crowdsourcing
Bali Under Water: Communities Map Floods in Real Time to Guide Evacuations
Posted in September 18, 2025 by Stefaan Verhulst
crowdsourcing, PEOPLE
Mapping the Unmapped
Posted in July 7, 2025 by Stefaan Verhulst
