Crowdsourcing a mixed systematic review on a complex topic and a heterogeneous population: Lessons learned.

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Title: Crowdsourcing a mixed systematic review on a complex topic and a heterogeneous population: Lessons learned.
Authors: Bujold, Mathieu1, Sherif, Reem El1, Pluye, Pierre1, Granikov, Vera2
Source: Education for Information. 2018, Vol. 34 Issue 4, p293-300. 8p. 2 Charts.
Subject Terms: *Mixed ability grouping (Education), *Continuing education, *Adults, Crowdsourcing, Sociocultural factors, Systematic reviews
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. [ABSTRACT FROM AUTHOR]
Copyright of Education for Information is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
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  Data: Crowdsourcing a mixed systematic review on a complex topic and a heterogeneous population: Lessons learned.
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  Data: *<searchLink fieldCode="DE" term="%22Mixed+ability+grouping+%28Education%29%22">Mixed ability grouping (Education)</searchLink><br />*<searchLink fieldCode="DE" term="%22Continuing+education%22">Continuing education</searchLink><br />*<searchLink fieldCode="DE" term="%22Adults%22">Adults</searchLink><br /><searchLink fieldCode="DE" term="%22Crowdsourcing%22">Crowdsourcing</searchLink><br /><searchLink fieldCode="DE" term="%22Sociocultural+factors%22">Sociocultural factors</searchLink><br /><searchLink fieldCode="DE" term="%22Systematic+reviews%22">Systematic reviews</searchLink>
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  Data: 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. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Education for Information is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.3233/EFI-180222
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      – Code: eng
        Text: English
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      – SubjectFull: Mixed ability grouping (Education)
        Type: general
      – SubjectFull: Continuing education
        Type: general
      – SubjectFull: Adults
        Type: general
      – SubjectFull: Crowdsourcing
        Type: general
      – SubjectFull: Sociocultural factors
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      – SubjectFull: Systematic reviews
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      – TitleFull: Crowdsourcing a mixed systematic review on a complex topic and a heterogeneous population: Lessons learned.
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            NameFull: Pluye, Pierre
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              Text: 2018
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