From the Harvard Combined Orthopedic Residency Program, Boston, MA (Dr. Young); the Harvard College, Boston, MA (Ms. Chen, Ms. Choi, and Mr. Hayes); the Harvard Medical School, Boston, MA (Dr. Bain and Dr. May); the Countway Library of Medicine, Harvard Medical School, Boston, MA (Dr. Bain); and the Boston Children's Hospital, Boston, MA (Dr. May).
J Am Acad Orthop Surg Glob Res Rev. 2023 Feb 17;7. doi: 10.5435/JAAOSGlobal-D-22-00168. eCollection 2023 Feb 1.
Extensive research collaborations exist between high-income countries and low- and middle-income countries (LMICs), although prior work has raised concerns regarding equitable representation among LMIC authors. The goal of this bibliometric analysis was to characterize LMIC authorship among indexed orthopaedic journals and identify factors contributing to disparities in representation.
We identified all articles appearing in orthopaedic journals indexed in MEDLINE and Journal Citation Reports with a focus on LMICs or cohorts between 2009 and 2018. All articles describing research conducted in LMICs or research focused on applications to cohorts in LMIC(s) were included. Author affiliation, article characteristics, and impact factor were assessed for 1,573 articles. Logistic regression models created to identify predictors of LMIC authorship.
We identified few studies published in indexed journals focused exclusively on LICs. Funded studies were less likely to have LMIC last authors. Compared with articles published in lower impact factor journals, those in journals with a higher impact factor were less likely to have a LMIC first or last author. The greater the number of countries represented per study, the less likely it had a LMIC first or last author.
Our study highlights persistent disparities in authorship from LMICs in indexed orthopaedic journals.
高收入国家与中低收入国家(LMICs)之间存在广泛的研究合作,但先前的工作对 LMIC 作者在代表性方面的公平性表示担忧。本计量分析的目的是描述索引骨科期刊中 LMIC 作者的情况,并确定导致代表性差异的因素。
我们确定了 2009 年至 2018 年期间在 MEDLINE 和期刊引文报告中索引的所有关注 LMIC 或队列的骨科期刊中的文章。所有描述在 LMIC 中进行的研究或专注于应用于 LMIC 队列的研究的文章都被包括在内。评估了 1573 篇文章的作者隶属关系、文章特征和影响因子。创建逻辑回归模型以确定 LMIC 作者的预测因素。
我们发现很少有研究发表在专门关注LICs 的索引期刊上。有经费支持的研究中,来自 LMIC 的最后作者较少。与发表在影响因子较低的期刊的文章相比,发表在影响因子较高的期刊的文章中,来自 LMIC 的第一或最后作者的可能性较小。每篇研究涉及的国家数量越多,其第一或最后作者来自 LMIC 的可能性就越小。
我们的研究强调了在索引骨科期刊中,来自 LMIC 的作者仍然存在持续的差异。