Assessing the Success and Sustainability of Global Neurosurgery Collaborations: Systematic Review and Adaptation of the Framework for Assessment of InteRNational Surgical Success Criteria

Autor: Alvan-Emeka K. Ukachukwu, Andreas Seas, Zoey Petitt, Kathy Z. Dai, Nathan A. Shlobin, Adham M. Khalafallah, Dev N. Patel, Elena Rippeon, Megan von Isenburg, Michael M. Haglund, Anthony T. Fuller
Rok vydání: 2022
Předmět:
Zdroj: World Neurosurgery. 167:111-121
ISSN: 1878-8750
Popis: The high unmet neurosurgical burden in low- and middle-income countries has necessitated multiple global neurosurgical collaborations. We identified these collaborations and their peer-reviewed journal publications and evaluated them using a modified version of the Framework for Assessment of InteRNational Surgical Success (FAIRNeSS).A systematic literature review yielded 265 articles describing neurosurgery-focused collaborations. A subset of 101 papers from 17 collaborations were evaluated with the modified FAIRNeSS criteria. Analysis of trends was performed for both individual articles and collaborations.Most of the articles were general reviews (64), and most focused on clinical research (115). The leading collaboration focus was workforce and infrastructure development (45%). Composite FAIRNeSS scores ranged from 7/34 to 30/34. Average FAIRNeSS scores for individual articles ranged from 0.25 to 26.75, while collaboration-wide FAIRNeSS score averages ranged from 5.25 to 20.04. There was significant variability within each subset of FAIRNeSS indicators (P value0.001). Short-term goals had higher scores than medium- and long-term goals (P value0.001). Collaboration composite scores correlated with the number of papers published (RGlobal neurosurgery has no established metrics for evaluating collaborations; therefore, we adapted the FAIRNeSS criteria to do so. The criteria may not be well suited for measuring the success and sustainability of global neurosurgery collaborations, creating a need to develop a more applicable alternate set of metrics.
Databáze: OpenAIRE