• Edward I Ham, Jeongyoon Kim, Ulrick Sidney Kanmounye, Jean Wilguens Lartigue, Saksham Gupta, Ignatius N Esene, and Kee B Park.
• Stony Brook School of Medicine, Stony Brook, New York, USA; Program in Global Surgery and Social Change, Harvard Medical School, Boston, Massachusetts, USA. Electronic address: edward.ham@stonybrookmedicine.edu.
• World Neurosurg. 2020 Nov 1; 143: e88-e105.

BackgroundResearch output on global neurosurgery (GNS) has exponentially increased in recent years. As research efforts increase, we must first analyze how the current body of GNS literature fits into the macroscopic schema of systems-based policies. The aim of this study was to identify and categorize GNS research based on health system domains.MethodsPubMed, CINAHL, and Embase were searched for GNS literature published from 1999 to 2019. Then, health system domains were defined and itemized based on publicly available documents from the Program in Global Surgery and Social Change. This items chart was subsequently used to categorize the GNS literature into health system domains.ResultsA total 63 articles were determined to focus on a health system domain. Of these articles, 6 focused on multiple domains, yielding an adjusted total of 70 articles. Overall, the most represented health system domain was service delivery (21 articles), followed by workforce (19), infrastructure (15), financing (12) and information management (3). A total of 30 low- and middle-income countries (LMICs) were represented across all articles. In addition, the first author was affiliated with an institution from a high-income country for 71.4% of the articles.ConclusionsThis review highlighted the pressing need for more research into information management in the context of GNS. In addition, health system-focused GNS literature represented only 20% of all LMICs (30/143). The trends in authorship should be noted, because many ethical (and practical) issues may arise if there is a disconnect in the objectives of the authors and the neurosurgeons in LMICs.Copyright © 2020 Elsevier Inc. All rights reserved.

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