Literature DB >> 23039257

Harnessing the power of crowds: crowdsourcing as a novel research method for evaluation of acne treatments.

April W Armstrong1, Safia Cheeney, Julie Wu, Caitlin T Harskamp, Clayton W Schupp.   

Abstract

BACKGROUND: Crowdsourcing is a novel process of data collection that can provide insight into the effectiveness of acne treatments in real-world settings. Little is known regarding the feasibility of crowdsourcing as a means of collecting dermatology research data, the quality of collected data, and how the data compare to the published literature.
OBJECTIVE: The objective of this analysis is to compare acne data collected from a medical crowdsourcing site with high-quality controlled studies from peer-reviewed medical literature.
METHODS: Crowdsourced data was collected from 662 online acne patients. Online patients reported data in a Likert-type format to characterize their symptom severity (740 total responses) and their treatment outcomes (958 total responses). The crowdsourced data were compared with meta-analyses and reviews on acne treatment from August 20, 2010 to August 20, 2011.
RESULTS: We compared topical, oral systemic, alternative, phototherapy, and physical acne treatments of crowdsourced data to published literature. We focused on topical tretinoin due to the large number of online patient responses. While approximately 80% of tretinoin users observed clinical improvement after a 12-week treatment period in clinical trials, 46% of online users reported improvement in an unspecified time period. For most topical treatments, medication with high efficacy in clinical trials did not produce high effectiveness ratings based on the crowdsourced online data.
CONCLUSION: While limitations exist with the current methods of crowdsourced data collection, with standardization of data collection and use of validated instruments, crowdsourcing will provide an important and valuable platform for collecting high-volume patient data in real-world settings.

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Year:  2012        PMID: 23039257     DOI: 10.2165/11634040-000000000-00000

Source DB:  PubMed          Journal:  Am J Clin Dermatol        ISSN: 1175-0561            Impact factor:   7.403


  6 in total

1.  Treatment choices for depression: Young people's response to a traditional e-health versus a Health 2.0 website.

Authors:  Faye Scanlan; Anthony Jorm; Nicola Reavley; Denny Meyer; Sunil Bhar
Journal:  Digit Health       Date:  2017-01-01

2.  Citizen science to further precision medicine: from vision to implementation.

Authors:  Carolyn Petersen; Robin R Austin; Uba Backonja; Hugo Campos; Arlene E Chung; Eric B Hekler; Pei-Yun S Hsueh; Katherine K Kim; Anthony Pho; Liz Salmi; Anthony Solomonides; Rupa S Valdez
Journal:  JAMIA Open       Date:  2019-12-03

3.  Building a Citizen Pscientist: Advancing Patient-Centered Psoriasis Research by Empowering Patients as Contributors and Analysts.

Authors:  Isabelle M Sanchez; Lindsey Shankle; Marilyn T Wan; Ladan Afifi; Jashin J Wu; Frank Doris; Alisha Bridges; Marc Boas; Brian Lafoy; Sarah Truman; Ana-Maria Orbai; Junko Takeshita; Joel M Gelfand; April W Armstrong; Michael P Siegel; Wilson Liao
Journal:  Dermatol Ther (Heidelb)       Date:  2018-06-06

4.  Crowdsourcing for self-monitoring: Using the Traffic Light Diet and crowdsourcing to provide dietary feedback.

Authors:  Gabrielle M Turner-McGrievy; Sara Wilcox; Andrew T Kaczynski; Donna Spruijt-Metz; Brent E Hutto; Eric R Muth; Adam Hoover
Journal:  Digit Health       Date:  2016-07-12

5.  Crowdsourced Identification of Possible Allergy-Associated Factors: Automated Hypothesis Generation and Validation Using Crowdsourcing Services.

Authors:  Eiji Aramaki; Shuko Shikata; Satsuki Ayaya; Shin-Ichiro Kumagaya
Journal:  JMIR Res Protoc       Date:  2017-05-16

6.  Mapping of Crowdsourcing in Health: Systematic Review.

Authors:  Perrine Créquit; Ghizlène Mansouri; Mehdi Benchoufi; Alexandre Vivot; Philippe Ravaud
Journal:  J Med Internet Res       Date:  2018-05-15       Impact factor: 5.428

  6 in total

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