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The Promise and Pitfalls of Using Crowdsourcing in Research Prioritization for Back Pain: Cross-Sectional Surveys.

Matthew A BartekAnjali R TruittSierra Widmer-RodriguezJordan E TuiaZoya A BauerBryan A ComstockTodd C EdwardsSarah O LawrenceSarah E MonsellDonald L PatrickJeffrey G JarvikDanielle C Lavallee
Published in: Journal of medical Internet research (2017)
Crowdsourcing platforms such as MTurk support efforts to efficiently reach large groups of individuals to obtain input on research activities. In the context of back pain, a prevalent and easily understood condition, the rank list of those with back pain was highly correlated with that of those without back pain. However, subtle differences in the content and quality of free-text comments suggest supplemental efforts may be needed to augment the reach of crowdsourcing in obtaining perspectives from patients, especially from specific populations.
Keyphrases
  • cross sectional
  • end stage renal disease
  • quality improvement
  • ejection fraction
  • newly diagnosed
  • peritoneal dialysis
  • prognostic factors
  • big data
  • patient reported