Methodology used to develop the minimum common data elements for surveillance and Reporting of Musculoskeletal Injuries in the MILitary (ROMMIL) statement.

Q2 Pharmacology, Toxicology and Pharmaceutics
F1000Research Pub Date : 2025-04-03 eCollection Date: 2024-01-01 DOI:10.12688/f1000research.152514.1
Garrett S Bullock, Joanne L Fallowfield, Sarah J de la Motte, Nigel Arden, Ben Fisher, Adam Dooley, Neil Forrest, John J Fraser, Alysia Gourlay, Ben R Hando, Katherine Harrison, Debra Hayhurst, Joseph M Molloy, Phillip M Newman, Eric Robitaille, Deydre S Teyhen, Jeffrey M Tiede, Emma Williams, Sandra Williams, Damien Van Tiggelen, Joshua J Van Wyngaarden, Richard B Westrick, Carolyn A Emery, Gary S Collins, Daniel I Rhon
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引用次数: 0

Abstract

Background: The objective was to summarize the methodology used to develop the international minimum data elements for surveillance and Reporting of Musculoskeletal Injuries in the MILitary (ROMMIL) statement. This is a recommended list of elements to be collected and reported when conducting injury surveillance research in military settings.

Methods: A Delphi methodology was employed to reach consensus. Preliminary steps included conducting a literature review and surveying a convenience sample of military stakeholders to 1) identify barriers and facilitators of military musculoskeletal injury (MSKI) prevention programs, 2) identify relevant knowledge gaps, and 3) establish future research priorities. A sequential three-round Delphi consensus survey followed, including relevant stakeholders from militaries around the world, using results to conduct an asynchronous knowledge user meeting (mixture of in-person and live video conference and recording) to explore the level of agreement among subject matter experts. Knowledge users, including former and current military service members, civilian practitioners working in military health networks, and international subject matter experts having experience with policy, execution, or clinical investigation of MSKI mitigation programs, MSKI diagnoses, and MSKI risk factors in military settings. For each round, participants scored questions on a Likert scale of 1-5. Scores ranged from No Importance (1) to Strong Importance (5).

Results: Literature review and surveys helped inform the scope of potential variables. Three rounds were necessary to reach minimum consensus. Ninety-five, 65, and 42 respondents participated in the first, second and third rounds, respectively.

Conclusions: Achieving consensus across relevant knowledge users representing military organizations globally can be challenging. This paper details the methodology employed to reach consensus for a core minimum data elements checklist for conducting MSKI research in military settings and improve data harmonization and scalability efforts. These methods can be used as a resource to assist in future consensus endeavors of similar nature.

用于制定军队肌肉骨骼损伤监测和报告(romil)声明的最小通用数据元素的方法。
背景:目的是总结用于在军事环境中进行损伤监测研究时就应收集和报告的建议最低数据要素达成共识的方法。本文总结了用于制定国际军事肌肉骨骼损伤监测和报告最低数据要素(romil)声明的方法。方法:采用德尔菲法对最小报告要素达成共识。初步步骤包括进行文献综述和调查军事利益相关者的方便样本,以1)确定军事肌肉骨骼损伤(MSKI)预防计划的障碍和促进因素,2)确定相关知识/信息差距,3)确定未来的研究重点。然后,该团队领导了一个连续的三轮德尔菲共识调查,包括来自世界各地军队的相关利益相关者,然后进行了异步混合知识用户会议,以探讨主题专家之间的协议水平。知识使用者,包括退役和现役军人、公务员从业人员和具有军事环境中MSKI缓解计划、MSKI诊断和MSKI风险因素的政策、执行或临床调查经验的全球主题专家。在每一轮中,参与者按照1-5分的李克特量表对每个问题进行评分。得分范围从不重要(1)到非常重要(5)。结果:文献回顾和调查有助于了解投票的潜在变量的范围。需要三轮谈判才能达成最低限度的协商一致意见。分别有95名、65名和42名受访者参与了第一轮、第二轮和第三轮德尔菲共识。最终,形成了由一个数据原则和33个最小数据元素组成的共识建议。结论:在代表全球军事组织的利益攸关方之间达成共识可能具有挑战性。本文详细介绍了在军事环境中开展MSKI研究并改善数据协调和可扩展性工作的核心最小数据元素清单达成共识所采用的方法。这些方法可以作为一种资源来协助未来类似性质的一致共识努力。
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来源期刊
F1000Research
F1000Research Pharmacology, Toxicology and Pharmaceutics-Pharmacology, Toxicology and Pharmaceutics (all)
CiteScore
5.00
自引率
0.00%
发文量
1646
审稿时长
1 weeks
期刊介绍: F1000Research publishes articles and other research outputs reporting basic scientific, scholarly, translational and clinical research across the physical and life sciences, engineering, medicine, social sciences and humanities. F1000Research is a scholarly publication platform set up for the scientific, scholarly and medical research community; each article has at least one author who is a qualified researcher, scholar or clinician actively working in their speciality and who has made a key contribution to the article. Articles must be original (not duplications). All research is suitable irrespective of the perceived level of interest or novelty; we welcome confirmatory and negative results, as well as null studies. F1000Research publishes different type of research, including clinical trials, systematic reviews, software tools, method articles, and many others. Reviews and Opinion articles providing a balanced and comprehensive overview of the latest discoveries in a particular field, or presenting a personal perspective on recent developments, are also welcome. See the full list of article types we accept for more information.
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