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Method Article
Revised

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

[version 2; peer review: 2 approved, 1 approved with reservations]
PUBLISHED 03 Apr 2025
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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.

Keywords

Implementation Science, Consensus, Delphi, Military, Sports Medicine, Military Medicine, Wounds and Injuries, Investigative Techniques

Revised Amendments from Version 1

This revision includes minor issues recommended by the reviewers, to include some minor grammatical issues and then primarily related to further clarification of certain aspects of the approach, which included:
- Clarifying who the civilian practitioners were
- Explaining what a knowledge user consisted of
- Description of asynchronous meetings

See the authors' detailed response to the review by Chris M. Edwards
See the authors' detailed response to the review by Kenton R Kaufman
See the authors' detailed response to the review by Oliver O'Sullivan

Introduction

Collection, surveillance, and reporting of injury data is an important and ubiquitous aspect of musculoskeletal (MSK) care within systems seeking to evaluate and improve injury prevention and care models. This is particularly true across military performance and medical settings.13 Often the data are inadequately powered (individual clinics or small sample sizes), requiring merging of data to properly compare patient subgroups, generalize results across different populations, and potentially answer clinically important questions.4,5 However, merging of these data is often hampered by high heterogeneity in data elements, outcomes, and definitions.1 Thus, there have been many recommendations to standardize data collection elements and practices to improve harmonization of data within a specific discipline or setting.57

Data collection procedures are highly variable across and even within military organizations world-wide, without a universal standard operating procedure.1 For example, in a systematic review assessing musculoskeletal injury (MSKI) risk factors in military populations, high variability in exposure, outcome, and predictor collection and reporting from 170 studies limited the ability to effectively compare risk factors and injury risk across service member groups.1 In a scoping review of 132 articles investigating military MSKI mitigation programs, heterogeneity in data and outcomes hindered the ability to calculate service member injury burden.8 This variability in the collection and reporting of data elements may prevent clinicians, military leaders, and researchers from answering pertinent operational and clinical questions.

One method to improve consistency of standardized data collection and reporting across studies is through the development of a recommended list of core minimum data elements that everyone should collect and report.5,7 Consensus for core minimum data elements has occurred across biomedicine fields (e.g. geriatrics,7 pediatrics5) and for specific conditions (e.g. traumatic injuries,9 osteoarthritis,10 pain6). A common list of standardized data elements enables a systematic approach to data collection and focused analysis, allowing the specific study question to be addressed, but also facilitating aggregation and meta-analysis across studies.4 This standardized practice ultimately leads to greater potential for increased cohort size and ultimately inference power.4

Recently a group of knowledge users (person who contributed to knowledge creation and have input equal to the scientific community) consisting of clinicians, researchers, policymakers and leaders in military settings world-wide collaborated to identify/recommend the minimum elements for collection and reporting in any study assessing MSKI in military populations. The project followed a Delphi consensus methodology to engage many relevant stakeholders world-wide. This paper summarizes the details and methodology used to develop the Minimum Data Elements for surveillance and Reporting of Musculoskeletal Injuries in the MILitary (ROMMIL) statement.

Methods

Process

The ROMMIL project was informed by the guidance for developers of health research guidelines.11 Consensus reporting was informed by the ACcurate COnsensus Reporting Document (ACCORD) reporting guidelines.12 Further methods and details, and respective protocols are available on Open Science Framework (https://osf.io/2wqbr/). Figure 1 displays the consensus process. This project adhered to all ethical principles of the Declaration of Helsinki. It was determined to not be human subjects research by the Institutional Review Board at Wake Forest University, School of Medicine (# IRB00115873), and therefore formal consent was not necessary. All participants were made aware that the data and collected information would be used to formulate a consensus statement, with the intent to publish the results, and all participants were invited to participate in the full process as authors.

428d9de9-98b3-4736-bd5b-5206d522d33f_figure1.gif

Figure 1. Consensus process.

Strategy

A core group of six members (GB, NA, JF, SdlM, BF, DR) identified the need for a standardized list of minimum core data elements for collection and reporting when conducting MSKI research. They pursued a balance in expertise across clinical and research disciplines, countries, and military branches while conducting a literature synthesis via scoping review, knowledge user survey, Delphi study and consensus meeting to achieve the ROMMIL consensus statement.

Bias Reduction

Measures to reduce bias included having steering group members not being able participate in the small group conversations and only contribute to the full group discussions during the consensus meetings when invited. Steering group members were not allowed to initiate remarks. If invited to speak, steering group members were only allowed to provide clarification or guidance when appropriate. An independent experienced external moderator lead all group discussions to reduce the risk of dominant personalities and also reduce steering group bias. Finally, all meetings were open for in person, video, and viewing at a later date, with an open period to comment, to allow for inclusion of voices that could not make the meetings.

Stage 1: Literature synthesis

A scoping review was performed to (1) identify barriers to and facilitators of military MSKI prevention programs, (2) identify relevant knowledge/information gaps and (3) establish future research priorities. This scoping review has been published separately.8 Databases included MEDLINE and the Defense Technical Information Center (DTIC). The results from the scoping review were merged with recommendations provided by the entire author group. The group created a preliminary list of all possible data elements and principles, based on the results of the scoping review. A knowledge user meeting, consisting of 45 participants, was then convened to further evaluate the list, which then received final approval by the steering committee (GB, NA, JF, SdlM, BF, DR).

Stage 2: Survey

The authors recruited a cross-sectional convenience sample the Total Force Fitness MSK Health conference attendees, then used a snowball recruitment method to gather knowledge user feedback concerning military MSKI mitigation program barriers and facilitators. The detailed results from this survey were reported elsewhere.13 The reported barriers and facilitators were used to help guide the framework questions for the consensus exercise.

Knowledge user involvement (Patient and public involvement)

Knowledge users (including former and current military service members, civil practitioners that work in military health networks, and international subject matter experts having experience with policy, execution, or clinical investigation of MSKI mitigation programs, MSKI diagnoses, and military MSKI risk factors) were included in the development of the research question. A working group evolved from a sample of the knowledge users after the initial meetings. Knowledge users sought to improve the overarching question while accounting for research implications and facilitate knowledge translations. The knowledge user group included active-duty service members, veterans, military leaders, medical professionals that work in military settings (both military and civilian, that include athletic trainers, physical therapists, and physicians), scientists that work in military settings, and exercise physiologists from the United Kingdom and United States.

Delphi study

Study design

A sequential three round Delphi survey was performed. An asynchronous knowledge user meeting was performed to explore level of agreement among subject matter experts.

Recruitment

Experts were identified through the closeness continuum.13 The closeness continuum identifies inclusive experts with subjective, mandated, and objective closeness to the topic of interest.13,14 Military service members having sustained MSKI across their careers had subjective closeness. Clinicians treating service members for MSKI had mandated closeness. Researchers and scientific experts investigating military MSKI had objective closeness.

Recruitment entailed an email identifying an individual as a military MSKI expert and requesting that they participate in a Delphi consensus project, via a series of planned meetings. A follow-up email with an encrypted link was sent to those who wanted to participate, in order to answer a series of questions concerning injury surveillance and reporting in military settings (see extended data).15 Participants were told that their answers would help inform the consensus project, and that all responses would remain anonymous.

Delphi rounds and scoring

Participants scored each question on a Likert scale of 1-5 for each round. Each question followed one of two formats shown in Table 1.

Table 1. Likert survey question format.

Please refer to the scale below to rate how important you think each data point is to include in military musculoskeletal injury research:
No importance
Minimal importance
Some importance
Strong importance
Extreme importance
Please refer to the scale below to rate how important you think each injury classification system or metric is to define military musculoskeletal injury:
Extremely inappropriate
Somewhat inappropriate
Neither appropriate nor inappropriate
Somewhat appropriate
Extremely appropriate

Following round 1, a synchronous knowledge user virtual meeting was held to discuss outlying scores, express and document disagreement or dissent concerning any statement, and propose alterations to variables and/or verbiage.

In round 2, participants had access to their previous scoring for each question. Changes in scoring were documented. A third round of scoring was unnecessary if the knowledge user group reached consensus on a given question during the second round.

Consensus criteria are defined a priori ( Table 2).

Table 2. Criteria for consensus for inclusion, consensus for exclusion, and non-consensus.

CriteriaDefinitionImplication
Threshold for consensus that variable should be included in a minimum data set for musculoskeletal injury in military populations (Consensus for inclusion).≥ 80% of participants assign a score of ≥ 4 OR Median score of ≥4 in two consecutive rounds.Variable does not proceed to the next round.
Threshold for consensus that variable should not be included in a minimum data set for musculoskeletal injury in military populations (Consensus for exclusion).≥ 50% of participants assign a score of ≤ 2 OR Median score of ≤2 in two consecutive rounds.Variable does not proceed to the next round.
Threshold for non-consensus. Median score of 3 in two consecutive rounds OR Median score decreases by ≥ 1 point in a round compared to the previous round.Variable does not proceed to the next round, consensus for exclusion.
Median score increases by ≥ 1 point in a round compared to the previous round.Variable proceeds to the next round.

Statistical analyses

Missing data were assessed prior to analyses. A complete case analysis was performed for the Delphi study. Participant data were reported as mean (standard deviation) for continuous data and count (%) for nominal and ordinal data. All analyses were performed in R 4.2.1 (R Core Team (2023). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/). The dplyr package was used for cleaning and analyses, and the ggplot2 package was used for data visualization. The raw data available from each round are available in an open-source repository.16

Stage 3: Consensus meeting

After completing the Delphi rounds, a final consensus meeting was held on 13 September 2023 at the International Congress on Soldier’s Physical Performance, in London, United Kingdom. All participants were invited to attend. The meeting was recorded for people who could not join the meeting in person to view at a later date. The purpose of the meeting was to (1) discuss the literature synthesis, survey, and Delphi survey results and (2) obtain advisory input on the final set of recommended minimum data elements for MSKI research in military settings. Fifty international participants (including military MSKI knowledge users, clinicians, and research experts) were present. The meeting was facilitated by the ROMMIL steering committee (GB, NA, JF, SdlM, BF, DR). Participants discussed and sought to achieve consensus on each data element during the meeting.

Stage 4: Consensus revision

After the consensus meeting, the steering committee (GB, NA, JF, SdlM, BF, DR) reviewed the results and revised the consensus statement based on pertinent feedback. The format and wording of each data element were reviewed and agreed upon, taking into consideration the survey, Delphi study, and consensus meeting results and discussions.

A 6-week open comment period was held for anyone to comment on the document. The electronic link was made available through the Musculoskeletal Injury Rehabilitation Research for Operational Readiness (MIRROR) website (https://mirrorusuhs.org/) and emailed to individuals who had participated in preliminary meetings and activities.

The draft consensus was then circulated again among consensus participants to (1) confirm accurate representation of the group consensus or (2) determine if further clarification was needed.

Results

Ninety-five, 65 and 42 respondents participated in the first, second and third rounds of the Delphi, respectively ( Table 3). The process used a Delphi methodology, which is an acceptable and preferred method for validating consensus experiments.16,17

Table 3. Delphi participant descriptive statistics.

VariableRound one participants (n = 95)Round two participants (n = 65) Round three participants (n = 45)
Primary Role
Administrative Leadership10 (11%)4 (6%)4 (9%)
Clinician/Practitioner25 (26%)23 (35%)11 (24%)
Command/Leadership5 (5%)1 (2%)3 (7%)
Implementing Human Performance Programs4 (4%)3 (5%)4 (9%)
Implementing Injury Prevention Programs9 (9%)8 (12%)3 (7%)
Researcher41 (43%)24 (37%)20 (44%)
Secondary Role
Administrative Leadership11 (12%)6 (9%)3 (7%)
Clinician/Practitioner23 (24%)13 (20%)12 (28%)
Command/Leadership3 (3%)2 (3%)2 (4%)
Implementing Human Performance Programs10 (11%)9 (14%)7 (16%)
Implementing Injury Prevention Programs20 (21%)18 (28%)7 (16%)
Physical Training Instructor3 (3%)1 (2%)0 (0%)
Researcher13 (14%)8 (12%)7 (16%)
Country
Australia14 (15%)
Belgium2 (2%)
Canada7 (7%)
New Zealand2 (2%)
United Kingdom23 (24%)
United States47 (49%)

* Blank cells denote information was not disclosed

Round one

Eleven data elements reached consensus after round one ( Table 4). Twenty-six data elements did not reach consensus after round one ( Table 5); 66 data elements were excluded after round one ( Table 6).

Table 4. Data elements with consensus after round one.

Data elementMedian score (IQR) Agree percent
Unique Individual Identifier (i.e., ID)5 (1)81%
Age5 (1)92%
Sex5 (1)96%
Service Member is in Initial Military Training5 (1)96%
Body Part/Region5 (1)97%
Mechanism of Injury5 (1)90%
Presentation (i.e., sudden or gradual)5 (1)94%
Activity during injury5 (1)90%
Overuse Injuries5 (1)99%
Acute Injuries5 (1)99%
Traumatic Injuries5 (1)99%

Table 5. Data elements with no consensus after round one.

Data elementMedian score (IQR) Percent agree
Height467%
Weight479%
Military Branch (e.g., Army, Navy, Air Force)464%
Position, Duty or Occupational Specialty476%
Years Working in the Military464%
Terms of Service458%
Previous Orthopaedic Surgery473%
Body Part and/or Joint of Previous Orthopaedic Surgery474%
How Long Ago Was Previous Orthopaedic Surgery473%
What Type of Injury Was Past Injury (location, etc.)478%
How Long Ago Was Previous Musculoskeletal Injury472%
Percent Perceived Return to Function Following Previous Musculoskeletal Injury469%
Tobacco Products Consumption473%
Service Member is Attending Formal Military Training Course469%
Service Member is in Special Operations479%
Individual Exposure476%
Exposure in Hours452%
Exposure in Days466%
Clinical Diagnosis of the Injury471%
Days from Injury to Seeking Medical Care464%
Days from Injury to Physical Therapy for Injury459%
Duty Time Lost in Days from Injury4.578%

Table 6. Data elements excluded after round 1.

Data elementMedian score (IQR) Percent agree
Waist Circumference2 (1)13%
Hip to Waist Ratio2 (1)6%
Body Fat Percentage2.5 (1)16%
Body Mass Index2 (1)7%
Race/Ethnicity2 (1)10%
Marital Status1 (1)6%
Physical Fitness Test Exemptions (e.g., “can do everything except running”)2.5 (1)24%
Previous Sport/Exercise Experience2.5 (1)18%
Historical Physical Fitness Test Scores2.5 (1)14%
Aerobic Fitness2.5 (1)27%
Rank2 (1)10%
Officer versus Ordinary Rank (i.e., Enlisted)2 (1)17%
Highest Level of Education Achieved2 (1)2%
Base or Post (i.e., where currently stationed)2 (1)9%
Unit2 (1)14%
Deployment History2 (1)15%
Number of Deployments2 (1)6%
Length of Most Recent Redeployment (months)2 (1)5%
Time Since Last Deployment (months/years)2 (2)6%
Menstrual Cycle/Amenorrhea2.5 (1)16%
Use of Oral Contraceptives2.5 (1)8%
Number of Pregnancies2 (1)8%
Number of Live Births2 (2)7%
Live Birth Complications History2 (2)5%
Time Since Last Live Birth2 (1)10%
Previous Time Loss from Injury (i.e., on profile, limited duty, light duty) Occurrences2.5 (1)32%
Previous Number of Days of Time Loss from Injury (i.e., on profile, limited duty, light duty)2.5 (1)33%
Treatment Interventions Used for Past Injury2.5 (1)17%
How Many Months Since Individual Passed Service Required Physical Fitness Test2.5 (1)16%
Joint Hypermobility2 (1)3%
Previously Seen a Mental Health Provider for a Mental Health/Behavioral Health Condition (and how long ago)2.5 (1)13%
Diagnosed Previous Sleep Disorders2 (1)9%
Previous History of Relative Energy Deficiency (RED-S)2.5 (1)15%
Previous History of Female Athlete Triad2.5 (1)19%
Self-Perceived Health2 (1)16%
Self-Perceived Fitness2 (1)16%
Recreational Physical Activity (e.g., per day, per week)2.5 (1)23%
Nutrition Habits2.5 (1)21%
Alcohol Consumption2.5 (1)16%
Contact and Collision Sport Involvement (and how long ago)?2 (1)13%
Childcare Responsibilities2 (1)6%
Social Support2 (1)13%
Emotional Stress2.5 (1)19%
Hours of Sleep2.5 (2)31%
Quality of Sleep2.5 (1)22%
Unit/Platoon Exposure2.5 (1)19%
Exposure in Minutes2 (2)6%
Number of Times/Activities Occurrences2.5 (1)22%
Work (exercise) Intensity2.5 (1)25%
Time Spent in Specific Activities of Varied Intensity2.5 (1)16%
Cumulative Loading Over Military Career2.5 (1)23%
Cumulative Loading Over Specified Period of Time (e.g., training exercise; deployment period)2.5 (1)31%
Laterality of Injury2.5 (1)20%
Amount of Pain from Injury2 (1)11%
Days from Initial Complaint Until Injury Became Time-Loss 2.5 (1)13%
Time of Injury2 (1)11%
SNOMED CT Coding System2 (1)5%
Tissue2.5 (2)32%
Care-Seeking Injury2.5 (2)31%
Time Since They Previously Had That Injury If Prior History (months/years)2.5 (1)28%

Round two

In round two, 16 more data elements reached consensus ( Table 7); four data elements were combined with data elements that had already reached consensus ( Table 8). Six data elements did not reach consensus after round two ( Table 9).

Table 7. Included data elements after round two.

Data elementMedian score (IQR) Percent agree
Height4 (1)66%
Weight4 (2)74%
Military Branch4 (1)57%
Position Duty or Occupational Specialty4 (2)72%
Previous Orthopaedic Surgery4 (2)66%
Previous Musculoskeletal Injury4 (2)82%
Time Since Previous Musculoskeletal Injury4 (2)57%
Military Role (Combat, Support, Special Operations)4 (1)69%
Exposure in Days4 (1)60%
Clinical Diagnosis of Injury4 (1)77%
Days from Injury to Seeking Medical Care4 (1)52%
Duty Time Lost in Days from Injury4 (1)75%
Type of Injury (Primary, Subsequent, Recurrent, or Exacerbation Injury)4 (1)79%
Time Loss of Injury in Days4 (1)75%
Prior History of that Specific Injury4 (1)71%
Date of Injury4 (1)54%

Table 8. Data elements combined with other elements (already with consensus) after round two.

Data elementMedian score (IQR)Percent agreeCombined with
Terms of Service3 (2)43%Military Role
Exposure in Hours3 (2)48%Exposure in Days
Days from Injury to Physical Therapy3 (1)42%Days to Seeking Medical Attention
Surveillance Days Until Injury3 (2)45%Days Until Injury

Table 9. No consensus after round two.

Data elementMedian score (IQR) Percent agree
Tobacco or Nicotine Use3 (1)45%
Terrain Where Injury Occurred3 (1)39%
Equipment Worn at the Time of Injury3 (1)40%
Years Working in Military3 (2)45%
Setting of training3 (1)46%
Formal Military Course3 (1)46%

Round three

Two more data elements reached consensus in round three. The other three data elements did not reach consensus ( Table 10).

Table 10. Round three.

Data elementMedian score (IQR) Percent agree
Tobacco or Nicotine Use4 (3)26%
Terrain Where Injury Occurred3 (1)22%
Equipment Worn at the Time of Injury3 (1)24%
Years Working in Military3 (2)21%
Setting of training4 (2)33%

Discussion

An integrated and scalable process for collecting and reporting MSKI data is necessary to successfully evaluate MSKI interventions in military populations. The methodology, supporting results, and decisions made during the ROMMIL development are provided in this report. The process included a literature synthesis, knowledge user survey, Delphi study, consensus meeting, and electronic consensus open meeting for further review. This process incorporated a broad range of supporting literature, relevant data, and direct input from knowledge users having wide-ranging MSKI-related experiences and expertise.

The steering committee included members with wide-ranging viewpoints and areas of expertise; military MSKI surveillance and research occur world-wide, encompassing varying levels of institutional support, environments, and cultures. Multiple knowledge user meetings were held across the research process. The closeness continuum,13 identifying different types of experts, was used to inform and identify knowledge users for inclusion in the consensus process. The ROMMIL consensus statement was presented in person, on an open science platform, and through an open, freely accessible electronic link to mitigate or eliminate travel or institutional support barriers. Feedback was received through multiple interfaces, allowing for comprehensive input. Forms of feedback included verbal, free text, and quantitative scores, increasing the depth and richness of feedback.

Potential limitations

While international input was emphasized, most knowledge user feedback came from participants living in English speaking countries (i.e. North America, Europe, former British Commonwealth countries), with the steering committee living in the United States and the United Kingdom. Military organizations with differing levels of institutional support may have differing (1) MSKI-related needs and (2) abilities to collect and report specific data elements. Further enquiry is needed to evaluate the ROMMIL checklist in these military populations. Only one conference was attended to help inform the original data elements list, as knowledge users from different backgrounds could attend other conferences across the globe, there may be selection bias limitations in the original proposed elements list. There was attrition in the Delphi survey, potentially decreasing the strength of recommendations.

The ROMMIL steering committee screened data elements throughout the process, ensuring a manageable and feasible number of data elements was included for collection and reporting. Continual screening was necessary, given the wide-ranging (1) body of MSKI-related literature, (2) knowledge user suggestions, and (3) responses from the knowledge user survey and Delphi study. The steering committee might have selected data elements that differed from individual knowledge users’ selections. To mitigate this potential bias, the steering committee conducted multiple knowledge user meetings and encouraged maximal input/feedback from all members throughout the process. The primary report summarizing the ROMMIL consensus checklist for minimum data elements to collect and report when conducting injury surveillance research will be published separately.

Conclusions

Achieving consensus with knowledge users representing global-wide military organizations is challenging. This paper details the methodology established to reach consensus, while enabling all participants to provide input (including dissenting opinions). The ROMMIL consensus provides a core minimum data elements checklist for military MSKI scientists to improve data harmonization and scalability efforts. These methods can be used as a resource to assist future consensus endeavors in similar populations.

Ethics and consent

This project was determined to not be human subjects research by the Institutional Review Board at Wake Forest University, School of Medicine (# IRB00115873, determination made 1 July 2024). Individuals consented to be involved by participating in the meetings and voting process, a determination that was approved by the Institutional Review Board. All participants were made aware up front that the results and conclusions would be summarized into a consensus statement that would be published and shared with the greater scientific community. Data were anonymous and not linked to individual participants.

Disclaimer

The view(s) expressed herein are those of the author(s) and do not necessarily reflect the official policy or position of the Uniformed Services University, the US Defense Health Agency, the US Department of Defense, the U.K. Department of Defense, nor the U.S. or U.K. Governments.

Author information

The following authors are military service members (either past or present): JJF, BRH, JMM, DST, JMT, EW, SW, DVT, JJV, RBW, DIR.

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Bullock GS, Fallowfield JL, de la Motte SJ et al. Methodology used to develop the minimum common data elements for surveillance and Reporting of Musculoskeletal Injuries in the MILitary (ROMMIL) statement [version 2; peer review: 2 approved, 1 approved with reservations]. F1000Research 2025, 13:1044 (https://doi.org/10.12688/f1000research.152514.2)
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Reviewer Report 16 Apr 2025
Oliver O'Sullivan, University of Nottingham, Nottingham, England, UK 
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Dear authors, thank you for taking on board all the recommendations from the peer reviewers. I think the manuscript reads well, is clear and has an important message - as far as I am concerned, it is ready. Best wishes ... Continue reading
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O'Sullivan O. Reviewer Report For: Methodology used to develop the minimum common data elements for surveillance and Reporting of Musculoskeletal Injuries in the MILitary (ROMMIL) statement [version 2; peer review: 2 approved, 1 approved with reservations]. F1000Research 2025, 13:1044 (https://doi.org/10.5256/f1000research.179630.r375434)
NOTE: it is important to ensure the information in square brackets after the title is included in all citations of this article.
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Reviewer Report 05 Dec 2024
Kenton R Kaufman, Mayo Clinic, Rochester, USA 
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Abstract: 
  • Please define a “mixed knowledge user”.
  • Please describe how the “asynchronous mixed knowledge user meeting” was conducted, or is this a typographical error?  Please see comment in Methods section below.
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Kaufman KR. Reviewer Report For: Methodology used to develop the minimum common data elements for surveillance and Reporting of Musculoskeletal Injuries in the MILitary (ROMMIL) statement [version 2; peer review: 2 approved, 1 approved with reservations]. F1000Research 2025, 13:1044 (https://doi.org/10.5256/f1000research.167283.r339134)
NOTE: it is important to ensure the information in square brackets after the title is included in all citations of this article.
  • Author Response 03 Apr 2025
    Daniel Rhon, Department of Rehabilitation Medicine, Brooke Army Medical Center, Fort Sam Houston, USA
    03 Apr 2025
    Author Response
    Thank you Dr. Kaufman for your valuable time and interest for reviewing this work and for the detailed feedback and recommendations for improving this manuscript. They are greatly appreciated. For ... Continue reading
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  • Author Response 03 Apr 2025
    Daniel Rhon, Department of Rehabilitation Medicine, Brooke Army Medical Center, Fort Sam Houston, USA
    03 Apr 2025
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    Thank you Dr. Kaufman for your valuable time and interest for reviewing this work and for the detailed feedback and recommendations for improving this manuscript. They are greatly appreciated. For ... Continue reading
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Reviewer Report 27 Nov 2024
Chris M. Edwards, University of Sherbrooke, Sherbrooke, Québec, Canada 
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VIEWS 12
Thank you to the authors for their tremendous effort in addressing MSKI in military populations. The methods described for the development of the Minimum Data Elements for surveillance and Reporting of Musculoskeletal Injuries in the MILitary (ROMMIL) statement will be ... Continue reading
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Edwards CM. Reviewer Report For: Methodology used to develop the minimum common data elements for surveillance and Reporting of Musculoskeletal Injuries in the MILitary (ROMMIL) statement [version 2; peer review: 2 approved, 1 approved with reservations]. F1000Research 2025, 13:1044 (https://doi.org/10.5256/f1000research.167283.r339129)
NOTE: it is important to ensure the information in square brackets after the title is included in all citations of this article.
  • Author Response 20 Mar 2025
    Daniel Rhon, Department of Rehabilitation Medicine, Brooke Army Medical Center, Fort Sam Houston, USA
    20 Mar 2025
    Author Response
    Thank you Dr. Edwards for your valuable time and interest for reviewing this work and for the detailed feedback and recommendations for improving this manuscript. They are greatly appreciated. For ... Continue reading
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  • Author Response 20 Mar 2025
    Daniel Rhon, Department of Rehabilitation Medicine, Brooke Army Medical Center, Fort Sam Houston, USA
    20 Mar 2025
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    Thank you Dr. Edwards for your valuable time and interest for reviewing this work and for the detailed feedback and recommendations for improving this manuscript. They are greatly appreciated. For ... Continue reading
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Reviewer Report 04 Oct 2024
Oliver O'Sullivan, University of Nottingham, Nottingham, England, UK 
Approved with Reservations
VIEWS 13
Dear Colleagues,

Thank you for asking me to review Methodology used to develop the minimum common data elements for surveillance and Reporting of Musculoskeletal Injuries in the MILitary (ROMMIL) statement, which is a description of methodological approach taken ... Continue reading
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HOW TO CITE THIS REPORT
O'Sullivan O. Reviewer Report For: Methodology used to develop the minimum common data elements for surveillance and Reporting of Musculoskeletal Injuries in the MILitary (ROMMIL) statement [version 2; peer review: 2 approved, 1 approved with reservations]. F1000Research 2025, 13:1044 (https://doi.org/10.5256/f1000research.167283.r323555)
NOTE: it is important to ensure the information in square brackets after the title is included in all citations of this article.
  • Author Response 21 Mar 2025
    Daniel Rhon, Department of Rehabilitation Medicine, Brooke Army Medical Center, Fort Sam Houston, USA
    21 Mar 2025
    Author Response
    Thank you Dr. O’Sullivan for your valuable time and interest for reviewing this work and for the detailed feedback and recommendations for improving this manuscript. They are greatly appreciated. For ... Continue reading
COMMENTS ON THIS REPORT
  • Author Response 21 Mar 2025
    Daniel Rhon, Department of Rehabilitation Medicine, Brooke Army Medical Center, Fort Sam Houston, USA
    21 Mar 2025
    Author Response
    Thank you Dr. O’Sullivan for your valuable time and interest for reviewing this work and for the detailed feedback and recommendations for improving this manuscript. They are greatly appreciated. For ... Continue reading

Comments on this article Comments (0)

Version 2
VERSION 2 PUBLISHED 11 Sep 2024
Comment
Alongside their report, reviewers assign a status to the article:
Approved - the paper is scientifically sound in its current form and only minor, if any, improvements are suggested
Approved with reservations - A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit.
Not approved - fundamental flaws in the paper seriously undermine the findings and conclusions
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