Research Appraisals
Evidence-based critical appraisals of the latest medical research, systematically evaluated using Oxford CEBM methodology.
Showing 10 appraisals
Telemedicine journal and e-health : the official journal of the American Telemedicine Association
Application of Telehealth and Artificial Intelligence in Military Health Care: A Promising Combination for the Future
BACKGROUND: Military and peace-support operations increasingly depend on medical capability delivered under difficult circumstances: distance, limited number of specialists, disrupted connectivity, and mass-casualty risk. Consequently, military health care systems operate during missions in uniquely constrained and high-risk environments, ranging from remote bases and naval platforms to active combat zones and humanitarian missions. These mission contexts demand rapid, reliable, and scalable medical solutions that can function despite limited personnel, infrastructure, and connectivity. METHOD: By reviewing existing literature and considering several different programs for military health care using telehealth and artificial intelligence (AI), the key performance indicators are explored to evaluate the synergy of telehealth and AI, following its implementation. RESULTS: Telehealth has become an increasingly important component of modern health care and holds the promise of increasing access to (special) health care without moving the patient but the information. Telehealth also enables continuity of care on missions and has already demonstrated its value in extending medical expertise across distance, while AI is evolving rapidly as a powerful enabler of decision support, automation, and predictive analytics in the medical field. As AI capabilities mature, several medical specialties may benefit, particularly in medical imaging, through faster triage, more consistent interpretation, and better prioritization of scarce specialist time. It also contributes to "decision support "while making proposals based on big data, machine learning and AI (e.g., in a Trauma registry). Telehealth provides the communication backbone that preserves these interactions and enables safe use of AI-enabled support in dispersed operations. CONCLUSIONS: The convergence of telehealth and AI in military health care will lead to a strategic capability with increased efficiency and enhance readiness, resilience, access to medical care, and quality of care for military personnel, including faster and more accurate diagnoses and better patient monitoring. Both technologies (AI and telehealth) are expected to continue to advance and play an even larger role in optimizing health care in the military.
3 Aug 2026
Read appraisal →Telemedicine journal and e-health : the official journal of the American Telemedicine Association
Application of Telemedicine for Mission Support-Importance of a Cost-Benefit Analysis
BACKGROUND: Digital health is more relevant now than ever before, and interventions have a clear potential to improve the quality of care while reducing health care costs. Telemedicine has emerged as a transformative approach to health care delivery, particularly accelerated by the COVID-19 pandemic. In mission environments, telemedicine increasingly supports the management of acute injuries, chronic conditions, predeployment screening, and follow-up assessments, often using low-bandwidth store-and-forward modalities. METHOD: By reviewing existing literature and considering several different (heterogeneous) programs for "telemedicine for mission support," the key performance indicators are explored to evaluate telemedicine in missions, following its implementation. Both acute and chronic care use cases, as well as operational, clinical, and technical determinants of feasibility, were considered. RESULTS: This article presents the clinical, operational, and economic benefits of "telemedicine in missions" and the metrics for a comprehensive cost-effectiveness analysis or cost-benefit analysis, considering its economic and clinical impacts. CONCLUSIONS: Telemedicine in missions shows considerable differences from other telemedicine applications depending on the actors and the resulting circumstances. Considering the heterogeneity of the metrics provided, even within the field of "telemedicine in missions," the analyses have to be conducted in accordance with the encountered conditions. Nevertheless, a set of metrics can be applied to nearly all use cases across the different applications and actors. A mission-adaptable minimum data set is proposed to support standardized evaluation across diverse operational contexts.
3 July 2026
Read appraisal →Journal of special operations medicine : a peer reviewed journal for SOF medical professionals
Telemedicine Consultation: Lessons Learned from the Pararescue Experience
BACKGROUND: Telemedicine is a critical military medicine capability in austere, remote, and denied environments where prolonged casualty care and knowledge gaps exist. Despite significant military investment in telemedicine, the literature lacks detailed lessons from real-world cases. METHODS: U.S. Air Force Pararescue missions between 1 January 2010 and 31 December 2020 that included telemedicine consultation were reviewed. Participating flight surgeons (FS) and Pararescuemen (PJ) were interviewed, and available after-action reports were analyzed. Mission parameters, outcomes, and technical or human factors affecting communication were evaluated. RESULTS: Across 13 telemedicine consultations, the 28 patients experienced: cave entrapment (13), trauma (7), burns (4), and illness (4). Consultations were from PJ to FS (11), U.S. Coast Guard to FS (1), and FS to neurosurgery (1). Secondary consultations (7) were from FS to dental (1), dermatology, burn/critical care, orthopedics (2), pediatric anesthesiology, and thoracic surgery specialists. Missions used voice over mobile or satellite phone, text, and email. Recommendations commonly involved medication selection (6), advisement against mission launch (3), and burn care (2). Consultation effectiveness was impacted by unclear directions (3) and degraded communications (2). CONCLUSION: Telemedicine is valuable to PJs during complicated cases and rarely performed procedures, but cannot replace pre-deployment medical exposure and training. Rehearsals may optimize telemedicine, and training should focus on synchronizing a shared mental model of the patient using well-understood patient report and evaluation tools (ATMIST and MARCH PAWS). Telemedicine may reduce human error, give medics the confidence to take action, and limit the psychological impact of difficult care decisions.
29 June 2026
Read appraisal →Journal of special operations medicine : a peer reviewed journal for SOF medical professionals
Prediction Factors Associated with Success in Military Special Operations Courses: A Systematic Review
BACKGROUND: We investigated factors associated with military personnel success in Special Operations courses (course pass or fail). METHODS: A systematic search was conducted across eight databases using the keywords "Special Operations" and "attrition." Sample size and profile data, course characteristics, predictive factors, follow-up, and results were extracted from the studies. We compared the means of the variables associated with success between the groups that completed and did not complete the courses. A meta-analysis was conducted for factors assessed by two or more studies, pooling standardized or weighted mean differences using fixedor random-effects models. RESULTS: A total of 23 studies were included. They were published between 1990 and 2022, included samples from 10 nations, lasted between 5 days and 12 months, and ranged from 11 to 1,138 individuals. VO2max, pull-ups, push-ups, and marching performance showed consistent positive associations with course success, while body fat percentage and sit-up performance did not. Certainty of evidence was rated as low to very low using the Grading of Recommendations Assessment, Development, and Evaluation. CONCLUSION: The factors that increased the probability of success in Special Operations courses were character strengths, recidivism in the course, anthropometric data, performance on physical assessment tests, psychological dissociation, psychosocial resources, blood markers, smoking/alcohol consumption, personality, and psychological strength. These findings support the inclusion of aerobic capacity, muscular endurance, and psychological resilience in early screening and preparatory selection processes.
29 June 2026
Read appraisal →European journal of trauma and emergency surgery : official publication of the European Trauma Society
Pattern of blast injuries. A systematic review: Part 2 - Landmines, unexploded ordnance and terrorism.
PURPOSE: This systematic review analyzes the patterns and distribution of blast injuries from landmine explosions, UXOs and terror attacks including suicide bombing, in civilians and military personnel. METHODS: A search was conducted in two databases on 26. March 2025 for observational studies reporting blast injuries in civilian and military populations of all ages. Studies were clustered by explosion typ. A narrative data synthesis was performed. The JBI tool for case series was used. PROSPERO: CRD42023391736. RESULTS: 126 studies were included in the overall systematic review. 45 studies on terror & suicide bombings and 12 studies on landmines & UXOs are analyzed in the present paper. Studies on landmines from 1980 to 2006 included 13,270 individuals (age: 24.0 years (Range 8.2 years - 32.2 years); mainly male (88.9%)) in post-conflict low- and middle-income countries. Lower extremity injuries including amputations were most frequent, followed by eye injuries. Studies on terrorist attacks with a total of 12,518 mainly civilian victims (average age: 33,1 years; 61.6% males) reported on incidents in post-conflict regions and high-income cities mainly from the early 2000s. The injury pattern was multidimensional, with extremity injuries most frequent (28%-30%), including fractures, lacerations, and traumatic amputations (18%-20%). CONCLUSION: This Systematic Review Part 2 on landmines and terror attacks found that extremity injuries, including traumatic amputations, are the most frequent and dominate injury. However, the injury pattern varies depending on the explosion mechanism. Landmines primarily cause lower extremity injuries, as well as eye injuries. Terror and suicide explosions exhibit multidimensional injury pattern depending on the distance and location of the explosion.
19 June 2026
Read appraisal →BMJ military health
Risk and protective factors for suicide-related outcomes among serving military personnel: a systematic review of cohort studies
INTRODUCTION: Understanding risk and protective factors for suicide-related outcomes (suicidal ideation, attempts, and deaths) among military personnel is key to the development and design of suicide prevention initiatives. Current literature has predominantly focused on ex-serving or a combination of ex-personnel and serving-personnel. Therefore, factors that may be pertinent for serving personnel are less understood. This review aims to identify risk and protective factors for suicide-related outcomes comprising serving military personnel. METHODS: The review adhered to PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines and was registered on PROSPERO. A systematic literature search of academic databases on military personnel and suicide from 2004 was conducted. Two independent reviewers conducted study selection. Inclusion criteria included serving personnel, cohort study design, and suicide-related outcomes. Exclusion criteria were National Guard or reservists, and studies not in English. Data on study and participant characteristics, military-specific variables, and suicide-related outcomes were extracted. All studies were critically appraised. RESULTS: A total of 53 studies were included. Most studies were published in the past 10 years, comprised army personnel from the USA, and focused on suicide attempts. Overarching risk factor categories included adverse military experiences, deployment, repeated help seeking and support, junior rank, occupation and time in service and vulnerability factors within the military context. Since many of these risk factors are inherent to military service, they may potentially be considered non-modifiable. Despite a limited number of studies on protective factors, several studies found that unit cohesion reduced the likelihood of suicidal ideation and suicide attempts. CONCLUSIONS: Suicide prevention strategies within the military may be enhanced by targeting risk factors that are potentially modifiable. Less modifiable risk factors could potentially be targeted through improved personnel management practices, particularly in preparation for and after deployment among first-year personnel. Longitudinal research programmes that identify and examine risk and protective factors for serving military personnel are needed. PROSPERO REGISTRATION NUMBER: CRD42024558183.
22 May 2026
Read appraisal →JMIR formative research
Detection of Posttraumatic Stress Disorder With Rest-Activity Data: Machine Learning Approach Using Wearable and Self-Report Data
BACKGROUND: Growing evidence suggests that disruptions in rest-activity rhythms may serve as relevant markers of posttraumatic stress disorder (PTSD). Despite the emergence of machine learning methods applied to actigraphy and self-report data, few studies have used these approaches to identify individuals with clinically diagnosed PTSD. Prior work has focused on predicting probable PTSD based on self-report measures, yet discrepancies exist between clinical diagnoses and probable PTSD derived from self-reports. OBJECTIVE: This study explored whether wrist actigraphy and sleep logs could be used to accurately predict clinician-rated PTSD diagnosis and probable diagnosis of PTSD based on established self-report cutoffs (PTSD Checklist for Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition [PCL-5] ≥31 and ≥38) among trauma-exposed service members and veterans. We also explored which features were most strongly predictive of each outcome and whether models were able to predict PTSD diagnosis even when accounting for other mental health disorders. METHODS: Wrist actigraphy data and daily sleep logs were collected over 1 week from trauma-exposed male service members and veterans (N=36; mean age 41, SD 5.3 y). Candidate features were identified using univariate feature selection. Extreme gradient boosting models were trained using leave-one-subject-out cross-validation to predict the diagnosis of PTSD and probable diagnosis of PTSD based on 2 self-report cutoffs (PCL-5≥31 and ≥38). Performance metrics were then calculated at the person level. Linear regression was used to assess the discriminant validity of model-predicted scores and each PTSD outcome specifically, relative to other mental health diagnoses. RESULTS: Machine learning models predicting PTSD diagnosis and probable PTSD based on the PCL-5≥31 threshold demonstrated satisfactory performance in this sample. The diagnosis model achieved an area under the curve (AUC) of 0.83 (95% CI 0.61-1.00), with high accuracy (88%) and specificity (96%) and moderate sensitivity (63%). The PCL-5≥31 model yielded comparable performance (AUC=0.84, 95% CI 0.71-0.98) with balanced sensitivity (73%) and specificity (82%). For both models, a combination of subjective and objective features was the most impactful. These models were able to predict PTSD even when accounting for non-PTSD mental health diagnoses, as model-predicted scores were significantly associated with 2 outcomes: clinician-rated PTSD (B=0.19; P=.002) and probable PTSD based on a PCL-5≥31 cutoff (B=0.24; P=.003). In contrast, the model predicting probable PTSD based on the PCL-5≥38 threshold performed poorly (AUC=0.47, 95% CI 0.24-0.69), with a nonsignificant relationship between model-predicted scores and the outcome (B<0.01; P=.89). CONCLUSIONS: Both subjective and objective rest-activity features may improve the prediction of PTSD. Further research is needed to validate these findings and explore the use of integrating wearable sensor data and subjective information to support PTSD assessment.
20 May 2026
Read appraisal →Sleep
Improving sailor's amount and efficiency of sleep in two-section watchkeeping schedules: A cluster randomized trial study
STUDY OBJECTIVES: The present study aimed at comparing sailors' amount and efficiency of sleep in two two-section watchkeeping schedules, i.e. the traditional 6/6 and the 7-5-5-7. Intention for the latter schedule was to align the major sleep episodes with biologically driven nocturnal sleep patterns. METHODS: Using a parallel crossover design with cluster randomized trials, forty-eight crew members from two vessels of the German Navy participated in a field trial with two 1-week underway periods varying the watchkeeping schedule in randomized order. Sleep minutes and sleep efficiency were assessed on the participant level using wrist-worn actigraphs and analyzed for sleep episodes occurring during the day (i.e. between 10:00 am and 10:00 pm) and during the night (i.e. between 10:00 pm and 10:00 am). RESULTS: Nighttime sleep duration was 14 min longer and with 10% higher sleep efficiency in the 7-5-5-7 schedule compared to the 6/6. In contrast, daytime sleep duration was 40 min longer in the 6/6 with no statistically significant differences in sleep efficiency between the two watchkeeping schedules. CONCLUSIONS: Our results suggest that the amount and efficiency of nighttime sleep can be enhanced with the 7-5-5-7. Hence, even in shift schedules with restricted periods for rest, recuperation can be improved by more closely aligning watchkeeping schedules to the innate human diurnal circadian cycles. Statement of Significance The size of ships and the associated limitations on the size of their crews make two-section watchkeeping schedules common in civil and military maritime settings. Such watchkeeping schedules-in which the 24-h day must be shared between two watches-limit time available for rest and recuperation. The present study shows that even in this context, slight modifications in two-section watchkeeping schedules lead to more and better nighttime sleep because the circadian fluctuations of sleep and performance are considered. Our research findings have high practical significance for all industries with shift workers and demonstrate how the negative effects of watchkeeping schedules can be reduced if they are adapted to better align with innate human circadian rhythms.
17 Apr 2026
Read appraisal →Journal of special operations medicine : a peer reviewed journal for SOF medical professionals
AI-Assisted Lung Sliding Detection in Point-of-Care Ultrasound by Marine Corps Corpsmen: A Multi-Reader Study
BACKGROUND: Artificial intelligence (AI) has the potential to address training limitations and inter-operator variability that constrain the use of lung ultrasound (LUS) in austere and prehospital settings. This pilot study evaluated whether AI-based decision support could improve the diagnostic accuracy and confidence of United States Marine Corps Corpsmen in identifying absent lung sliding, a key indicator of pneumothorax, during LUS interpretation. METHODS: This pilot-prospective multi-reader, multi-case study involved five military medics, all novices in point-of-care ultrasound, each interpreting 50 de-identified LUS video clips twice, once without AI assistance (control) and once with AI assistance (ATLAS, Deep Breathe Inc., London, Canada), in randomized order with at least a 2-hour washout between sessions. Expert consensus served as a reference standard. Diagnostic performance was assessed using area under the receiver operating characteristic curve (AUROC), sensitivity, specificity, and accuracy. Differences were analyzed using the Random-Reader Random-Case method. Per-clip reader confidence ratings were compared using the Stuart-Maxwell test. RESULTS: AI assistance significantly improved diagnostic performance across all measured outcomes. The mean AUROC increased from 0.72 (SD 0.16) without AI to 0.93 (SD 0.04) with AI (P=.03). Sensitivity rose from 0.63 (SD 0.14) to 0.90 (SD 0.09), specificity from 0.70 (SD 0.15) to 0.86 (SD 0.10), and overall accuracy from 0.67 (SD 0.10) to 0.88 (0.06) (McNemar's test, P<.001). Reader confidence also improved, with high-confidence ratings nearly doubling from 20% to 37%, and low-confidence ratings decreasing from 38% to 33%. These distributional changes were statistically significant (Stuart-Maxwell χ², P<.001). CONCLUSION: AI support markedly improved the diagnostic accuracy and confidence of novice LUS interpretation for detecting absent lung sliding. These findings suggest that real-time AI-based decision support may help improve access to high-quality LUS in military and other resource-limited care settings.
5 Apr 2026
Read appraisal →Journal of special operations medicine : a peer reviewed journal for SOF medical professionals
Combat-Related Orthopedic Trauma in the Russo-Ukrainian War: A Systematic Review
INTRODUCTION: The Russo-Ukrainian conflict has produced large numbers of military and civilian casualties, with orthopedic and musculoskeletal trauma representing a major proportion of combat injuries. Explosions, gunshots, and blast mechanisms frequently generate complex wounds that demand specialized surgical and rehabilitative management. This review summarizes injury types, mechanisms, severity, clinical responses, and gaps in current knowledge. METHODS: Following PRISMA guidelines, a comprehensive search of PubMed, Scopus, Web of Science, and MEDLINE via WoS was conducted in February 2025. Eligible studies published from 2014 to 2024 included case reports, case series, cohort studies, and observational research describing orthopedic injuries in military or civilian populations affected by the conflict. Two reviewers independently screened studies, performed quality assessments using Joanna Briggs Institute tools and STROBE criteria, and synthesized data qualitatively with descriptive statistics when available. RESULTS: Thirty-one studies were included, primarily case reports and retrospective analyses from Ukrainian military hospitals and frontline facilities. Explosive and ballistic trauma produced high-energy fractures, traumatic amputations, severe soft-tissue loss, and neurovascular damage. Management strategies included external and internal fixation, bone grafting, microsurgical reconstruction, distraction osteogenesis, and the progressive use of 3D-printed implants to support limb salvage. Rehabilitation, including pain control, physiotherapy, and prosthetic training, was essential for functional recovery. Long-term complications included neuromas, phantom pain, stump morbidity, and psychological trauma. Telemedicine enabled remote consultation and continuity of care under resource-limited conditions. CONCLUSIONS: Combat-related orthopedic injuries in this conflict require advanced surgical techniques, coordinated multidisciplinary support, and prolonged rehabilitation. Expanded data collection, standardized reporting, and long-term follow-up are essential to improve functional outcomes and reintegration.
4 Apr 2026
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