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Crowdsourcing a Mixed Systematic Review on a Complex Topic and a Heterogeneous Population: Lessons Learned

Title: Crowdsourcing a Mixed Systematic Review on a Complex Topic and a Heterogeneous Population: Lessons Learned
Language: English
Authors: Bujold, Mathieu; Granikov, Vera; Sherif, Reem El; Pluye, Pierre
Source: Education for Information. 2018 34(4):293-300.
Availability: IOS Press. Nieuwe Hemweg 6B, Amsterdam, 1013 BG, The Netherlands. Tel: +31-20-688-3355; Fax: +31-20-687-0039; e-mail: info@iospress.nl; Web site: http://www.iospress.nl
Peer Reviewed: Y
Page Count: 8
Publication Date: 2018
Document Type: Journal Articles; Information Analyses
Descriptors: Literature Reviews; Cooperation; Patients; Needs; Decision Making; Methods; Selection
DOI: 10.3233/EFI-180222
ISSN: 0167-8329
Abstract: Systematic reviews (SR) typically focus on well-defined topics and homogeneous populations. In contrast, conducting a SR on patients with complex care needs (PCCN) presents two main challenges: a novel ill-defined topic and a heterogeneous population. This commentary summarizes the lessons learned from our experience using crowdsourcing to meet these challenges. PCCN often suffer from combinations of multiple issues (medical, interactional, sociocultural, psychological, related to healthcare services use), which can lead to difficult decision-making involving different stakeholders (themselves, caregivers, practitioners). The objective of our SR was to systematically assess decisional needs of PCCN reported in the literature. With the collaboration of librarians, we identified 8616 potentially relevant studies in five databases. A team of 20 crowdreviewers were trained and participated in the selection of 156 relevant studies, using specialised online software. The main benefit of crowdsourcing was the diversity of crowdreviewers' viewpoints which helped us establish an intersubjective knowledge classification of idiosyncratic concepts related to PCCN and their decisional needs. In line with other crowdsourced reviews, our experience confirms that crowdsourcing can be useful in SR with a large number of studies on ill-defined domains and with heterogeneous populations
Abstractor: As Provided
Number of References: 18
Entry Date: 2019
Accession Number: EJ1201204
Database: ERIC