Bibliometric analysis of the scientific production on crowdsourcing in health

Abstract

Introduction: online collaborative decision-making processes in health have developed over time and surpass the academic field. The objective of the research is to analyze the scientific production on crowdsourcing in health during the period 2019 - 2023. Methods: the research was developed under the quantitative paradigm approach, from a retrospective - descriptive and bibliometric study. A systematic search was performed according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. Results: the search was conducted in the SCOPUS database and 289 research results on crowdsourcing in health in the selected period were identified. Of the 289 research studies analyzed, 60% are original articles. The area of knowledge that stands out the most is medicine with 159 research papers. A total of 162 journals were identified in which the research was published, the most cited being Translational Psychiatry with 364 citations. In addition, the institutions with the highest representation are The University of North Carolina at Chapel Hill and London School of Hygiene & Tropical Medicine with 23 and 17 researches respectively. The most relevant author is Tucker, J.D. with 17 publications. The country that published the most was the United States with 122 publications. Conclusions: It is concluded that crowdsourcing in health as an online collaborative process between institutions, specialists, patients or experts in the health sector allows solving research problems, based on tasks directed by the crowdsourcing administrator, has developed over time and surpasses the academic field.