Crowdsourcingã¢â‚¬â€harnessing the Masses to Advance Health and Medicine a Systematic Review

Review

. 2014 Jan;29(one):187-203.

doi: 10.1007/s11606-013-2536-8. Epub 2013 Jul 11.

Crowdsourcing--harnessing the masses to advance health and medicine, a systematic review

Affiliations

• PMID: 23843021
• PMCID: PMC3889976
• DOI: 10.1007/s11606-013-2536-viii

Complimentary PMC article

Review

Crowdsourcing--harnessing the masses to advance health and medicine, a systematic review

Benjamin L Ranard  et al. J Gen Intern Med. 2014 Jan .

Gratuitous PMC article

Abstract

Objective: Crowdsourcing inquiry allows investigators to engage thousands of people to provide either data or data assay. However, prior work has not documented the employ of crowdsourcing in health and medical enquiry. We sought to systematically review the literature to draw the telescopic of crowdsourcing in health inquiry and to create a taxonomy to characterize by uses of this methodology for health and medical research.

Data sources: PubMed, Embase, and CINAHL through March 2013.

Study eligibility criteria: Primary peer-reviewed literature that used crowdsourcing for health enquiry.

Report appraisal and synthesis methods: Two authors independently screened studies and abstracted information, including demographics of the oversupply engaged and approaches to crowdsourcing.

Results: 20-1 health-related studies utilizing crowdsourcing met eligibility criteria. 4 singled-out types of crowdsourcing tasks were identified: problem solving, data processing, surveillance/monitoring, and surveying. These studies collectively engaged a crowd of >136,395 people, yet few studies reported demographics of the oversupply. Only one (v %) reported age, sex, and race statistics, and vii (33 %) reported at least one of these descriptors. Most reports included information on crowdsourcing logistics such every bit the length of crowdsourcing (north = eighteen, 86 %) and time to consummate crowdsourcing task (north = 15, 71 %). All articles (n = 21, 100 %) reported employing some method for validating or improving the quality of data reported from the oversupply.

Limitations: Greyness literature not searched and only a sample of online survey articles included.

Conclusions and implications of central findings: Utilizing crowdsourcing tin meliorate the quality, toll, and speed of a research projection while engaging large segments of the public and creating novel scientific discipline. Standardized guidelines are needed on crowdsourcing metrics that should exist collected and reported to provide clarity and comparability in methods.

Figures

Effigy ane.

Results of the systematic literature search for health-related crowdsourcing studies. This effigy shows the results of the systematic literature search for primary peer-reviewed articles that used crowdsourcing for health research.

Effigy ii.

Crowdsourcing framework and categories.

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Source: https://pubmed.ncbi.nlm.nih.gov/23843021/

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