Characteristics, trend, and methodological quality of systematic reviews and meta-analyses in nuclear medicine

Hong, Jung Ui; Kim, Jun Ho; Lee, Kyung Hee; Lee, Minkyung; Hyun, In Young; Cho, Soon Gu; Kim, Yeo Ju; Lee, Ha Young; Kim, Ga Ram

doi:10.1097/md.0000000000015785

Cited by 2 publications

(4 citation statements)

References 44 publications

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“…In addition, examples from research contexts outside of team performance demonstrate that the most frequently studied variables in a meta-analysis could still produce a non-significant effect size (Hong et al , 2019). This study found that this previous finding does not apply to the current team performance literature.…”

Section: Discussionmentioning

confidence: 99%

“…It might be presumed that the most influential factors will also be those most frequently studied in existing research. However, Hong et al (2019) demonstrated that the most frequently studied factor in a meta-analysis could produce a non-significant effect size. The second research question is therefore presented as follows:…”

Section: Introductionmentioning

confidence: 99%

“…For instance, over the past few decades, several meta-analyses have been conducted on relationships between specific antecedents of team performance and overall team performance, e.g. communication (Hong et al , 2019), trust (Morrissette and Kisamore, 2020), conflict (Carsten, 2003), team diversity (Horwitz and Horwitz, 2007; Stahl et al , 2010; Bell et al , 2011), leadership behaviors (Burke et al , 2006), shared leadership (Wang et al , 2014), team training (Salas et al , 2008), cognitive ability (Devine and Philips, 2001) and personality (Peeters et al , 2006). However, few studies, such as Mesmer-Magnus and DeChurch (2009), compare the effects of multiple team performance process and outcome factors on overall team performance.…”

Section: Introductionmentioning

confidence: 99%

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Identifying the relative impact of process- and outcome-related team performance antecedents: a meta-analysis

Hindiyeh

Cross²

2022

TPM

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Purpose The purpose of this paper is to identify, through an exploratory meta-analysis, which process- and outcome-related antecedents have the strongest relationship to overall team performance. The secondary objective is to create an understanding of the extent to which relative research interest in each construct to date has aligned with its reported effects. Design/methodology/approach This study uses a random-effects meta-analysis on studies that have measured the relationship between at least one process or outcome factor and overall team performance. The number of studies, effect size and between-study variances are captured and analyzed for each process/outcome factor. Prior literature has explored relationships between various process/outcome factors and overall team performance. This study expands on previous literature by examining a comprehensive set of process/outcome factors and their relative impact on overall team performance. Findings A meta-analysis of 190 effect sizes extracted from 52 empirical studies over the past two decades (1999–2020) showed the specific process and outcome factors that most strongly contributed to overall team performance were efficiency, schedule and innovation. In addition, only a weak correlation was found between process and outcome factors’ relationships with overall team performance and how often they are studied in the research community. Originality/value This study contributes to the body of knowledge on team performance by examining prior research to identify the relevant impact of various process and outcome factors on overall team performance. In addition, this study also assesses the extent to which research interest in these factors has appeared to match their relative impact. Analyzing the relative impact of various process and outcome factors allows researchers and practitioners to better identify methods to create improvement in overall team performance. Based on the findings, prioritizing efficiency, schedule and innovation may promote overall team performance.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Identifying the relative impact of process- and outcome-related team performance antecedents: a meta-analysis

Hindiyeh

Cross²

2022

TPM

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“…Thus, bibliometric approaches that comprehensively analyse publication output can provide an additional and complementary source of information about research capacity. Several studies have evaluated the production of evidence synthesis in specific research areas (see [ 7 – 9 ] for some recent examples), but, to our knowledge, no work has comprehensively assessed production of evidence synthesis by geographic region or with a focus on LMICs. Moreover, little is known about the structure or nature of collaborations on evidence synthesis.…”

Section: Introductionmentioning

confidence: 99%

Collaboration on evidence synthesis in Africa: a network study of growing research capacity

Pan

Zhong

Young

et al. 2021

Health Res Policy Sys

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Background Evidence-based practice in medicine and social policy relies heavily on evidence synthesis. To translate evidence into practical guidelines for low- and middle-income countries, local expertise is essential. The objectives of this study are to assess the change in capacity for conducting evidence synthesis in Africa and to identify key African institutions for regional capacity-building. We take on a network perspective, considering that the position of an institution in the African evidence ecosystem is one constituent of its research capacity. Methods We systematically identified 3548 evidence synthesis publications between 2008 and 2019 with at least one author in Africa from the Web of Science Core Collection. These articles involved 3769 institutions. Longitudinal institution-level collaboration network data were constructed based on co-authorship information. We used social network analysis to examine the institutions’ connectivity and tendency for intra- and interregional collaboration. We also identified the degree- and betweenness-central African institutions and explored the structure and composition of their local network neighbourhoods. Results The number of African institutions involved in evidence synthesis has increased substantially over the last decade, from 31 in 2008 to 521 in 2019, and so has the number of evidence synthesis publications with authors in Africa. African institutions in the evidence ecosystem have also become more connected during this period. Although the amount of intercontinental collaboration continues to exceed that of regional collaboration, the tendency for African institutions to collaborate with partners in Africa is increasing. We identified seven institutions—in South Africa, Egypt and Uganda—as central to the collaboration networks between 2008 and 2019, all of whom showed a tendency to collaborate across sectors. Conclusion The development of more regionally based network-building initiatives would help to foster communities of practice and inter-institutional collaboration, strengthening regional research capacity. Moreover, the analysis in this study adds depth beyond a simple bibliometric analysis and illustrates that network analysis could provide a useful tool to evaluate the effectiveness of capacity-building strategies and programmes in the future.

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Characteristics, trend, and methodological quality of systematic reviews and meta-analyses in nuclear medicine

Abstract: Supplemental Digital Content is available in the text

Cited by 2 publications

References 44 publications

Identifying the relative impact of process- and outcome-related team performance antecedents: a meta-analysis

Identifying the relative impact of process- and outcome-related team performance antecedents: a meta-analysis

Collaboration on evidence synthesis in Africa: a network study of growing research capacity

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