13 MEMBERS OF THE COMMUNITY CONTRIBUTED $76 TO MAKE THIS ARTICLE OPEN ACCESS FOR EVERYONE! THANK YOU
Background: Trauma is a leading cause of morbidity and mortality worldwide, with low- and middle-income countries bearing a disproportionate burden of orthopedic trauma. In Sub-Saharan Africa, limited resources and systemic challenges often delay surgical care. This review maps existing evidence on treatment timelines and factors contributing to these delays.
Purpose: To synthesize literature on orthopedic trauma care timelines in Sub-Saharan Africa, identify barriers to timely surgery, and highlight research gaps to inform strategies for improving patient outcomes.
Methods: This scoping review was conducted in accordance with the PRISMA-ScR guidelines and the Arksey and O’Malley framework. A comprehensive literature search was performed across PubMed, Cochrane Library, Web of Science, African Index Medicus, and Global Health databases for English-language studies published between January 2010 and January 2025. Studies were included if they involved patients undergoing orthopedic trauma surgeries in Sub-Saharan Africa and reported time to-surgery data. Two independent reviewers screened studies and conducted data extraction. Descriptive and thematic analyses were used to summarize findings and identify barriers to timely surgical care.
Results: 44 studies met inclusion criteria, representing 8,116 patients with 8,132 injuries across 17 Sub-Saharan African countries. Most participants were male (66.1%) with a mean age of 34.9 ± 13.2 years. Road traffic accidents were the most common mechanism of injury, followed by falls, assaults, and gunshot wounds. Femoral and tibial fractures predominated, with surgical management most commonly involving open reduction and internal fixation, intramedullary nailing, plating, and external fixation. Time to treatment varied: many studies reported that patients were admitted within 24 hours of their injury, but surgery was frequently delayed for days to weeks. Several causes of surgical delays were identified: 23 studies reported financial cost barriers, 21 studies reported lack of surgical equipment, and 19 studies reported limited operating room availability, with additional studies reporting inadequate personnel, imaging deficiencies, poor pre-hospital care, and transportation challenges.
Conclusion: Orthopedic trauma in Sub-Saharan Africa is characterized by a disproportionate burden of road traffic injuries, high prevalence of long-bone and spinal fractures, and systemic delays in accessing surgical care. The overwhelming variability in time to admission and definitive intervention reflects systemic gaps in trauma infrastructure, compounded by financial barriers, limited surgical capacity, and shortages of surgical equipment. Collectively, these findings highlight both the urgent clinical needs of trauma patients and the systemic health challenges that perpetuate poor outcomes in Sub-Saharan Africa. Addressing these barriers through targeted investments in surgical workforce development, infrastructure expansion, and affordable access to essential implants and imaging is critical to advancing trauma care and reducing the morbidity and mortality associated with musculoskeletal injuries in this region.
Trauma is a leading cause of morbidity and mortality worldwide and disproportionately burdens low- and middle-income countries (LMICs) [1]. Sub-Saharan Africa (SSA) faces an escalating trauma epidemic, with the incidence of mortality following traumatic injuries surpassing that of HIV/AIDS, malaria, and tuberculosis combined. Orthopedic trauma constitutes a significant portion of this burden, often resulting in severe disabilities that hinder economic productivity and quality of life. Despite accounting for only half of the world’s vehicles, LMICs experience 90% of global road traffic deaths, contributing significantly to the rising orthopedic trauma caseload [2]. However, limited capacity for timely and effective orthopedic trauma care continues to drive preventable complications, lasting disability, and premature mortality.
One of the critical challenges in orthopedic trauma management in SSA is the delay in surgical treatment. These delays stem from systemic barriers, including a shortage of orthopedic surgeons, inadequate trauma facilities, and disparities between urban and rural healthcare infrastructure [3]. The World Health Organization has identified a severe global shortage of surgical providers, with the gap being particularly pronounced in LMICs [4]. In SSA, prolonged waiting times for definitive orthopedic trauma care are driven by insufficient operating rooms and ICU spaces, a limited number of trained surgical providers, and restricted access to orthopedic equipment. These challenges result in significant delays in surgical intervention, leading to increased complications and poor patient outcomes. Delays in receiving surgical care were found to be the largest contributor to preventable trauma deaths (59%), underscoring the urgent need for systemic improvements [5].
The consequences of delayed orthopedic trauma surgery extend beyond immediate health outcomes. Poorly managed trauma can lead to permanent deformities, functional impairments, and psychosocial challenges that diminish patients’ quality of life and economic productivity [4]. Furthermore, the absence of standardized trauma registries in much of SSA has made it difficult to systematically assess time from injury to definitive treatment, highlighting a significant gap in data-driven policy-making [5]. Tackling the trauma epidemic in SSA demands a comprehensive approach that targets both systemic and structural barriers to timely and effective care.
This scoping review aims to investigate the current landscape of timely orthopedic trauma surgery in SSA, exploring the contributing factors and their broader implications. By synthesizing existing evidence, this review seeks to inform future strategies to improve surgical efficiency, optimize trauma care delivery, and ultimately reduce the burden of preventable disability and death in the region.
Literature Search
This scoping review follows the guidelines in accordance with the PRISMA statement (extension for Scoping Review) and follows the framework established in Arksey and O’Malley [6, 7]. A preliminary literature search investigating time to orthopedic trauma surgeries in Sub-Saharan African populations informed the decision to conduct a scoping review as the most appropriate approach to map existing evidence, identify key themes, and highlight areas requiring further investigation. A protocol was created and a comprehensive search in the PubMed, Cochrane, Web of Science, African Index Medicus, and Global Health Journal databases was conducted for English-language studies that involve orthopedic trauma surgeries in Sub-Saharan Africa. The search terms used in this search are listed in Table 1.
Study Eligibility criteria
Inclusion criteria consisted of studies containing patients who underwent orthopedic trauma surgeries, reported “time to surgery” outcomes and were conducted in Sub-Saharan Africa. All eligible papers were published in the English language between January 2010 and January 2025 and comprised of level evidence I-IV. Animal studies, studies without surgical intervention, and studies published before 2010 were excluded. Time-to-surgery outcomes were extracted when a surgical intervention was performed and when studies reported intervals including time from injury to admission, time from admission to surgical intervention, or time from injury to surgical intervention.
Orthopedic trauma is defined as any injury caused by some external force, such as a severe fall, a serious accident, or even a violent attack [8]. Orthopedic injuries are defined as injuries to anatomical structures of the musculoskeletal system, including bones, cartilage, joints, ligaments, muscles, and tendons. Common injuries include but are not limited to bone fractures, ligament tears, tendon tears, and joint dislocations. Given the overlap between orthopedic trauma and neurotrauma, spine cases were included if they involved vertebral fractures, spinal stabilization, or procedures performed by orthopedic surgeons. Cases with primary spinal cord injury or isolated neurosurgical decompressions without bony fixation were excluded unless orthopedic intervention was documented. Additionally, complex trauma cases, such as high-energy injuries with both orthopedic and neurological involvement were considered if orthopedic stabilization was a primary component of surgical management.
Study Selection and Data Extraction
Following the database search, two independent reviewers (L.F. and M.L.) screened the titles of all retrieved articles using the pre-established inclusion and exclusion criteria. Articles that passed title screening underwent abstract screening, followed by full-text review. After each stage, the reviewers compared their lists of included and excluded articles. Conflicts were resolved through independent re-review and discussion. In studies that reported on non-SSA countries, only data pertaining to SSA patients were reported.
Final data extraction was performed independently by multiple team members (L.F. and M.L.) using a standardized Excel spreadsheet stored on a secure server. Extracted data included study characteristics, population demographics, type and timing of surgical intervention, and reported outcomes. Time data were pooled and subsequently categorized based on the natural intervals that emerged within the dataset. Barriers to timely surgery were extracted from the results and discussion sections of each included study, based solely on factors reported as inherent to that study. All data used in this study was secondary data and do not represent direct policy prescriptions for any individual country or institution. Collaboration with local partners was explored to ensure contextual relevance and cultural sensitivity in interpreting the findings. Descriptive statistics were used to summarize study characteristics, and qualitative synthesis was performed to identify recurring themes, patterns of delay, and contributing factors affecting access to timely orthopedic trauma care.
A total of 1,149 studies were identified and screened in the initial search (Figure 1). Forty-four studies (3.8%) met the inclusion criteria and were analyzed in this review (Table 2). Two Level I studies, 17 Level II studies, 12 Level III studies, and 13 Level IV studies were included. Three studies were comparative in design, while 41 were non-comparative.
Study Demographics
A total of 8,116 patients, of whom 5,361 identified as male and 2,706 identified as female, and 8,132 injuries were included across the studies; one study did not report sex distribution. The age of participants ranged from 5.2 to 75.8 years, with a mean age of 34.9 ± 13.2 years. Seventeen countries across SSA were represented in this review (Table 3, Figure 2), with the number of studies per country ranging from 1 to 11. Twenty-six studies reported on East Africa, 10 studies reported on West Africa, 5 studies reported on Southern Africa and 3 studies reported on Central Africa. Two studies included participants from multiple countries. The highest representation was from Tanzania (11 studies), followed by Ethiopia (8 studies), and Uganda (5 studies).
Mechanism of Injury
Of the 44 included studies, 36 studies (5,056 patients) reported mechanisms of injury, while the remaining 8 studies (3,060 patients) did not (Figure 3). Road traffic accidents were the most common mechanism, reported in 31 studies (3,312 patients), and included motorcycle accidents (12 studies), pedestrian injuries (11 studies), and general motor vehicle accidents (12 studies). Falls were reported in 23 studies, with 122 patients falling from height and 711 patients falling from standing height. Other mechanisms included gunshot injuries (337 patients), assaults (427 patients), sports injuries (84 patients), military-related injuries (8 patients), and work-related trauma (55 patients). Crush injuries, lacerations, burns, animal-related trauma, and electrical injuries were also reported but were less common than the previously mentioned mechanisms of injury.
Orthopedic Trauma Injury & Surgical Intervention
Femoral and tibial fractures were the most frequently reported injuries. Femoral fractures were described in 19 studies, including femoral shaft fractures (7 studies), proximal femur fractures (4 studies), and unspecified femoral fractures (3 studies). Tibial fractures were reported in 17 studies, comprising tibial shaft fractures (8 studies), distal tibial fractures (2 studies), proximal tibial fractures (1 study), and unspecified tibial fractures (3 studies). Spinal injuries were described in 7 studies, including cervical (6 studies), thoracic (5 studies), and lumbar (5 studies) regions. Less frequently reported injuries included knee ligamentous injuries (1 study) and supracondylar humeral fractures (1 study). Eight studies reported musculoskeletal fractures, dislocations, or other injuries without further specification.
Surgical management was reported across multiple studies, with open reduction and internal fixation (ORIF) being the most frequently described intervention (31 studies). Intramedullary nailing was reported in 23 studies, plating and screw fixation in 10 studies, and external fixation in 12 studies. Less commonly reported procedures included percutaneous pinning with K-wires (2 studies), ligamentous repair (1 study), tendon repair (2 studies), hemiarthroplasty (3 studies), amputation (3 studies), and skeletal traction (3 studies). Spinal procedures, including laminectomy, fusion, and discectomy with fusion, were reported in 11 studies. Notably, 8 studies reported surgical interventions without specifying the procedure.
Time to Surgical Intervention
Time to treatment was inconsistently reported across studies, with intervals measured from injury to admission, admission to surgery, or injury to surgery (Table 4). Of the included studies, 22 reported injury-to-admission times, 24 reported admission-to-surgery times, and 25 reported injury-to-surgery times. Four studies reported at all three intervals, while 14 studies reported both injury-to-admission and admission-to-surgery times. Eleven studies reported patient populations with multiple time intervals, including 5 for injury-to-admission, 5 for admission-to-surgery, and 1 for injury-to-surgery. Across studies, injury-to-admission intervals were frequently within 24 hours of the injury. In contrast, time from admission to surgery was highly variable, with most patients receiving operative management several days to weeks after injury.
Time from Injury to Admission
Twenty-two studies reporting time from injury to admission, however 5 studies presented multiple time intervals that could not be isolated (Table 4). In the remaining 17 studies, 10 (58.8%) reported that most patients were admitted within 24 hours of injury. A cluster of 5 studies described delays of 48 to 72 hours, indicating that access to hospital care is not always immediate, while prolonged delays beyond 3 days were rarely reported (1 study).
Time from Admission to Surgery
Of the 24 studies reporting time from admission to surgery, 5 presented multiple time intervals that could not be isolated (Table 4). Among the remaining 19 studies, 8 reported early surgical intervention within 24 hours of admission across the 7 days to 1 month, and 1 at >1-month post-admission.
Time from Injury to Surgery
Twenty-five studies reporting time from injury to surgery, with only 1 study reporting multiple time intervals that could not be isolated (Table 4). Of the remaining 24 studies, only a few studies (3/24; 12.5%) reported that most patients underwent surgery within 24 hours of injury. Two studies reported surgery at 48-72 hours, while 16 studies (66.7%) reported delays of more than 7 days to 1 month and 3 studies (12.5%) reported delays exceeding 1 month.
Barriers to Treatment
Multiple studies identified barriers contributing to delays in surgical intervention (Figure 4). The most frequently reported barriers were financial costs (23 studies), lack of surgical equipment (21 studies), and limited operating room availability (19 studies). Other commonly reported barriers included limited numbers of operative personnel (14 studies), too few surgeons to meet workload demands (13 studies), lack of imaging equipment (12 studies), suboptimal pre-hospital medical services (11 studies), and lack of hospital resources (10 studies).
Specific imaging deficiencies included shortages of fluoroscopy units (4 studies), X-ray machines (3 studies), and insufficient numbers of trained imaging personnel (1 study). Transportation limitations were reported in 12 studies, often related to long distances to hospitals. Delays associated with traditional bone-setter treatment were reported in 5 studies. Among studies reporting financial barriers, issues included inability to pay for initial treatment (3 studies), inability to pay for implants (1 study), and insurance-related challenges (3 studies). Less commonly reported barriers included ineffective ambulance systems (8 studies), incomplete or inefficient patient chart systems (3 studies), and other isolated factors such as conflict-related disruptions (1 study).
| Number of Studies | Country |
| 11 | Tanzania |
| 3 | Nigeria |
| 3 | Ghana |
| 8 | Ethiopia |
| 3 | South Africa |
| 5 | Uganda |
| 2 | Cameroon |
| 2 | Senegal |
| 1 | Kenya |
| 1 | Malawi |
| 1 | Togo |
| 1 | Burkina Faso |
| 1 | Rwanda |
| 1 | Chad |
| 1 | Sudan |
| 1 | Zimbabwe |
| 1 | Cote d'Ivoire |
| First Author | Year | Time to Treatment Reported | Time from Injury to Admission | Time from Admission to Surgery | Time from Injury to Surgery |
| P. D. Albright | 2020 | Injury to Admission; Admission to Surgery; Injury to Surgery | 12 ± 27 Hours (Mean) | 6 ± 5 Hours (Mean) | 18 ± 32 Hours (Mean) |
| S. A. Arojuraye | 2024 | Injury to Surgery | x | x | 7 Months (Mean); 3-28 Months (Range) |
| P. K. Baidoo | 2021 | Injury to Admission; Admission to Surgery | **Less than 24 Hours (71, 70.3%); 24 Hours to 72 Hours (12, 1.9%); 4 Days to 14 Days (18, 17.8%) | x | **Less than 24 Hours (33, 32.7%); 24 Hours to 72 Hours (11, 10.9%); 4 Days to 14 Days (57, 56.4%) |
| P. K. Baidoo | 2021 | Injury to Surgery | x | x | 16.4 ± 16.2 Days (Mean) |
| T. Birlie | 2023 | Injury to Surgery | x | x | 9.83 ± 12.15 Days (Mean) |
| P. L. Chalya | 2016 | Admission to Surgery | x | 6 Hours (Median), 2-8 Hours (IQR); 1-12 Hours (Range) | x |
| S. S. Dela | 2022 | Injury to Admission; Admission to Surgery | Public Hospital: 15.4 Hours (Median), 5.8-32.9 Hours (IQR); Private Hospital: 21 Hours (Median), 3.36-14.1 Hours (IQR) | Total Cohort: 88.2 Hours (Median), 40.3-174 Hours (IQR); Public Hospital: 130 hours (Median), 62.9-212 Hours (IQR); Private Hospital: 45.4 Hours (Median), 24.0-75.5 Hours (IQR) | x |
| A. Doorgakant | 2012 | Admission to Surgery | x | 2.3 Days (Mean) | x |
| M. Dworkin | 2020 | Injury to Admission; Admission to Surgery; Injury to Surgery | 1.6 Days (Median), 0.8-11.9 Days (IQR) | 2.25 Days (Median), 1.0-5.4 Days (IQR) | 7.3 Days (Median), 3.7-49.0 Days (IQR) |
| L. Fonkoue | 2023 | Injury to Admission; Injury to Surgery | 2.5 ± 3.6 Hours (Mean), 15 Minutes-24 Hours (Range) | x | 63.1 ± 71.7 Hours (Mean), 4-420 Hours (Range) |
| S. Hailu | 2020 | Injury to Admission; Admission to Surgery | **< 2 hours (46, 15.3%), 2-8 hours (64, 21.3%), 9-24 hours (83, 27.6%), 25-72 hours (65, 21.6%), 3-7 days (8.3%), 7< (18, 6%) | **< 24 Hours (87, 32.5%); 24-48 Hours (141, 52.6%); 48 Hours < (40,14.9%) | x |
| J. T. Holler | 2022 | Injury to Admission; Admission to Surgery | 7.3 Hours (Mean) with an inter facility referral; 5.3 Hours (Mean) with Direct Presentation | Delay to surgery of greater than12 hours after admission occurred in approximately 10% of patients (24pts) | x |
| J. T. Holler | 2020 | Injury to Admission; Admission to Surgery | **24 Hour Delay (1 Patient) | **10.9 ± 4.6 hours (Mean); <6 hours (2 Patients), 6-24 Hours (5 Patients) | x |
| A. O. Ifesanya | 2012 | Injury to Surgery | x | x | 11.1 ± 13.4 Days (Mean), 1-75 Days (Range) |
| D. K. Kisitu | 2022 | Admission to Surgery | x | All Patients were treated within 24 Hours of Hospital Presentation | x |
| A. N. Komlatsè | 2014 | Injury to Surgery | x | x | 21 Days (Mean), 14-51 Days (Range) |
| E. J. Kramer | 2016 | Injury to Surgery | x | x | 19.6 ± 17.1 Days; 3-80 Days (Range) |
| A. Leidinger | 2019 | Injury to Surgery | x | x | 33.2 Days (Mean); 36 Days for Patients with Incomplete Injuries; 30 Days for Patients with Complete Injuries |
| A. Leidinger | 2023 | Injury to Admission; Admission to Surgery | 2 Days (Median), 1-6 Days (IQR) | 22 Days (Median), 13-39 Days (IQR) | x |
| B. T Haonga | 2020 | Injury to Admission; Admission to Surgery | 7.9 ± 5.0 Hours (Mean) | 6.0 ± 5.5 Hours (Mean) | x |
| J. Magogo | 2021 | Injury to Admission; Admission to Surgery | 2 Days (Median), 0-29 Days (Range) | 23 Days (Median), 0-81 Days (Range) | x |
| P. Makobore | 2015 | Injury to Admission; Admission to Surgery | 10 Hours (Mean), 30 Minutes-100 Hours (Range) | **24 Hours (3, 2%) | x |
| L. Mathieu | 2014 | Injury to Admission; Admission to Surgery | ** 3 months (4 Patients) | 83 ± 127 Days (Mean), 1–545 Days (Range) | x |
| L. Mathieu | 2021 | Injury to Surgery | x | x | 11.1 ± 5 Hours (Mean Time to Debridement); 27 ± 11 Days (Mean Time to Flap Coverage) |
| H. Mohammed Hassan Elbahri | 2024 | Injury to Surgery | x | x | 8 ±15 Days (Mean) |
| D. Newton | 2011 | Injury to Admission; Admission to Surgery | 9 Hours (Median), 4-27 Hours (IQR); 1-720 Hours (Range) | 5.5 Days (Median); 0-24 Days (Range) | x |
| N. N. O'Hara | 2018 | Injury to Surgery | x | x | 18 Days (Median), 5.5-34.5 Days (IQR); 56% Received Surgical Treatment |
| N. N. O'Hara | 2019 | Injury to Admission; Injury to Surgery | 3 Days (Median), 0-67 (IQR) | x | 10 Days (Median), 5.5-34.5 (IQR) |
| D. O. Odatuwa-Omagbemi | 2020 | Injury to Admission; Injury to Surgery | 2.8 ± 2.3 Days (Mean); 1–10 Days (Range) | x | 7.6 ± 4.3 Days (Mean) |
| P. Sekimpi | 2011 | Admission to Surgery | x | 13.2 Days (Mean), 0-33 Days (Range) | x |
| P. C. Shu | 2023 | Injury to Admission; Injury to Surgery | x | 120 Hours (Median), 66-192 Hours (IQR) | 188 Hours (Median), 144-347 Hours (IQR) |
| C. Sibindi | 2021 | Injury to Surgery | x | x | 22 ± 20.5 Days (Mean) |
| D. B. Sonshine | 2013 | Injury to Admission; Admission to Surgery | 0 Days (Median) | 5 Days (Median) | x |
| K. R. Stephens | 2015 | Injury to Surgery | x | x | 4.1 ± 5 Days (Mean), 0-27 Days (Range) |
| M. Tall | 2012 | Injury to Surgery | x | x | 8 Months (Mean), 4-14 Months (Range) |
| T. Tena | 2024 | Injury to Surgery | x | x | 19.2 Days (Mean) for the PFNA Group; 22.5 Days (Mean) for the DCS Group |
| C. B. Tesso | 2024 | Injury to Admission; Admission to Surgery; Injury to Surgery | 22.11 Hours (Mean), 1-408 Hours (Range); 3 days (5, 2.1%) | **3 days (12, 5.1%) | 48.84 ± 66.45 Hours (Mean); 7-528 Hours (Range) |
| C. B. Tesso | 2023 | Injury to Surgery | x | x | 8.16 ± 11.7 Days (Mean), 0-42 Days (Range) |
| L. Tilahun | 2024 | Admission to Surgery | x | **Less than 24 Hours (228, 69.3%); Between 25-48 Hours (82, 24.92%); After 48 Hours (19, 5.78%) | x |
| Y. A. Tsegaye | 2024 | Injury to Admission; Admission to Surgery | **Less than 24 Hours (29, 48.3%); After 24 Hours and within the 1st Week (21, 35%); Between the 1st and 2nd week (10, 16.7%) | Within the 1st week (42, 70%); Between the 1st and 2nd week (17, 28%) | x |
| K. van Rensburg | 2025 | Injury to Admission; Admission to Surgery; Injury to Surgery | 478 Minutes (Median) | 368 Minutes (Median) | 838 Minutes (Median); 47 (73.4%) patients had a delay from time of injury to time of surgery of more than 6 hours |
| F. Waterkeyn | 2023 | Injury to Admission; Admission to Surgery | 2.97 Days (Mean) | 28 Days (Mean) | x |
| J. B. Yaokreh | 2021 | Injury to Surgery | x | x | 9.6 ± 5.81 Days (Mean); 1-20 Days (Range) |
| S. L. Zuckerman | 2021 | Injury to Admission; Admission to Surgery | 2.0 Days (Median), 1-5 Days (IQR) | 16 Days (Median), 0-74 Days (IQR) | x |
This scoping review analyzed 44 studies, encompassing 8,116 patients with 8,132 orthopedic injuries across 17 SSA countries. East Africa was the most represented region, including Tanzania, Ethiopia, and Uganda. Most patients represented in this review were male and under 40 years old, reflecting the continent’s young labor force and those most engaged in high-risk occupations [9, 10, 11]. Disability is a major consequence of orthopedic injuries in SSA, with 61% of patients in one study reporting persistent functional limitations one year after injury and only 59% of these patients returning to work [12]. These long-term impairments carry profound social and economic consequences, often limiting individuals’ ability to work, provide for their families, and fulfill caregiving responsibilities. Beyond physical limitations, patients experience psychological and social burdens, including stress, isolation, and reduced participation in community life [13]. Rapid urbanization, chaotic industrialization, and the expansion of domestic markets further increase exposure to injury and place strain on an already overburdened healthcare system [5, 14, 15]. This demand, combined with gaps in care, fuels a cycle where injuries overwhelm health systems, leading to disability that reinforces social and economic burdens on patients and healthcare providers.
Road traffic accidents (RTAs) were the most frequently reported mechanism of orthopedic trauma, reported in 31 studies and encompassing 3,312 patients. While global road traffic deaths declined by 5% in 2021, nearly 250,000 individuals in SSA lost their lives in road traffic crashes with another 42 million individuals experiencing some type of musculoskeletal injury this year alone [16]. Rapid motorization without corresponding improvements in infrastructure, enforcement, or emergency care has fueled a disproportionate burden of transport-related trauma [17]. In this study, the predominance of femoral shaft and tibial shaft fractures aligns with the high rates of road traffic collisions in Sub-Saharan Africa, while the frequent involvement of the spine reflects the devastating consequences of both vehicular trauma and falls in unsafe labor settings. Falls represented the second most common etiology, with 833 patients affected, reflecting occupational hazards and unsafe labor practices [18]. Of workers in Ethiopia who sustained a spine injury at work, 80.7% were performing unsupervised labor and 85.3% had never received safety training prior to starting work [19]. Violence-related mechanisms, including 337 gunshot injuries and 427 assault-related injuries, highlight the impact of sociopolitical instability, communal clashes, and military conflicts, often compounded by the absence of prehospital emergency services [20, 21]. Reducing these injuries will require decisive action to strengthen road safety, enforce traffic laws, improve workplace protections, expand emergency care, and combat violence at the community level.
The interval from injury to hospital admission is a critical determinant of trauma outcomes and provides a window into the strengths and weaknesses of health systems, highlighting where targeted improvements are needed. While many patients, particularly in urban areas, are able to access care within 24 hours, this does not reflect the challenges faced in rural or underserved regions. A substantial subset of patients experience delays of 48 to 72 hours or longer, with rare cases extending beyond a week, underscoring systemic and infrastructural barriers rather than the clinical severity of their injuries. Limited prehospital services, overburdened ambulance networks, poor road infrastructure, and long travel distances are recurring constraints, leaving many patients dependent on informal transport that prolongs access to timely treatment [5, 22, 23]. Rural patients face particularly stark disadvantages, with longer travel times, scarce surgical capacity, and higher mortality compared to their urban counterparts, while urban centers are often strained by overwhelming patient loads and restricted operating theater availability, making it difficult for providers to provide timely interventions [24, 25]. Cultural practices further exacerbate these challenges: traditional bonesetters frequently serve as the first point of care, delaying definitive hospital treatment until complications emerge [26, 27, 28, 29]. Patients may cycle through multiple providers, often due to failed interventions, before reaching a tertiary facility for treatment [26, 27, 28, 29]. Time to admission is not just a measure of delay but a marker of equity, shaped by transport, emergency capacity, cultural practices, and health system priorities. Reducing these delays depends on stronger trauma networks, expanded rural surgical services, and greater trust in biomedical care; without these changes, preventable morbidity, mortality, and disability will persist in other low- to middle-income countries around the world.
Surgical delays in Sub-Saharan Africa stem from structural deficits that extend far beyond individual hospital inefficiencies. While some patients underwent surgery within 24 hours, far more experienced multi-day or multi-week delays. Financial obstacles were the most persistent, encompassing treatment costs, implants, and insurance challenges, effectively stratifying access by socioeconomic status. Evidence from Uganda supports this finding, where social capital rather than clinical severity presents as a strong predictor of surgery, illustrating how inequities outside the hospital walls directly determine treatment outcomes [30, 31]. Parallel to these financial barriers are severe shortages in personnel and infrastructure limitations, including limited operating rooms, equipment, imaging, and trained staff, which force clinicians to ration care by feasibility rather than need [31, 32]. Young et al. highlight the Malawian experience, where a rapidly rising femoral fracture burden and stagnant operative capacity illustrate the widening mismatch between demand and available resources [33]. Left unaddressed, this mismatch results in preventable disability and long-term morbidity from otherwise treatable injuries [5, 34, 35]. The absence of modern surgical equipment further constrains treatment options, as intramedullary nailing or external fixation for fracture fixation often cannot be performed, leaving clinicians reliant on conservative management [36]. Sustainable progress will require large-scale investments in training and infrastructure, as well as development of context-specific models of care that adapt to resource scarcity and case volumes that exceed an institution’s capacity.
Barriers to timely surgical intervention in Sub-Saharan Africa have a profound impact on patient outcomes, contributing to prolonged suffering, higher complication rates, and increased disability [5]. Financial constraints, limited availability of surgical equipment, and insufficient operating rooms are among the most frequently reported obstacles, while shortages of trained personnel, imaging resources, and pre-hospital services further exacerbate delays in care [37]. Addressing these challenges requires a multifaceted approach. Financial barriers can be mitigated through insurance reform, subsidies, or cost-sharing initiatives. Shortages in equipment and workforce can be alleviated through targeted training programs and policies that encourage retention of skilled personnel [38]. Systemic inefficiencies, including inadequate health information systems and transportation limitations, demand strategic investment in infrastructure. A critical limitation to progress, however, is the lack of research on trauma care outcomes, particularly regarding long-term functional recovery, which restricts evidence-based policymaking [12, 39]. Increasing awareness of these barriers is an essential first step. Shining a light on these challenges can drive research, inform policy decisions, and mobilize stakeholders toward sustainable improvements in trauma care.
Limitations
Some factors limit the interpretation of this review. Restricting the search to English-language publications likely excluded studies in different languages localized to SSA, narrowing regional representation in the scope of this review. The heterogeneity of the included studies made direct comparisons between SSA nations challenging. Key variables, including time to admission, time to surgery, and the definition of orthopedic trauma, were inconsistently reported, complicating comparisons and synthesis of generalizable conclusions regarding treatment timelines. Selection bias is likely, as patients treated exclusively by traditional healers or who never reached hospital care were not captured, underestimating delays and barriers. The evidence base was heavily weighted toward East Africa, leaving Central and Southern Africa underrepresented. Another limitation is the substantial heterogeneity in how “orthopedic trauma” is defined across studies, with some including broad musculoskeletal injuries, which complicates the interpretation of pooled injury-type data. Finally, while the scoping review design effectively maps fragmented literature, it does not support meta-analysis or causal inference, highlighting the need for more rigorous, regionally diverse research.
Orthopedic trauma in Sub-Saharan Africa is characterized by a disproportionate burden of road traffic injuries, high prevalence of long-bone and spinal fractures, and persistent delays in access to surgical care. The overwhelming variability in time to admission and definitive intervention reflects systemic gaps in trauma infrastructure, compounded by financial barriers, limited surgical capacity, and shortages of essential equipment. Collectively, these findings illustrate not only the urgent clinical needs of trauma patients but also the broader health system challenges that perpetuate poor outcomes in Sub-Saharan Africa. Addressing these barriers through targeted investments in surgical workforce development, infrastructure expansion, and affordable access to essential implants and imaging is critical to advancing trauma care and reducing the morbidity and mortality associated with musculoskeletal injuries in this region.
REFERENCES1. Rossiter N. D. (2022). "Trauma-the forgotten pandemic?". International orthopaedics, 46(1), 3–11. https://doi.org/10.1007/s00264-021-05213-z [crossref]2. Martin Jr., C., Jeker, R., & Harrison, J. (n.d.). The neglected burden of death and disability from injuries in low-income countries. AO Alliance, www.ao-alliance.org3. Bentounsi Z, Sheik-Ali S, Drury G, et al. Surgical care in district hospitals in sub-Saharan Africa: a scoping review. BMJ Open 2021;11:e042862. doi: 10.1136/bmjopen-2020-042862 [crossref]4. Turner, James & Duffy, Sean. (2021). Orthopaedic and trauma care in low-resource settings: the burden and its challenges. International Orthopaedics. 46. doi: 10.1007/s00264-021-05236-65. Alayande, B., Chu, K.M., Jumbam, D.T. et al. Disparities in Access to Trauma Care in Sub-Saharan Africa: a Narrative Review. Curr Trauma Rep 8, 66–94 (2022). https://doi.org/10.1007/s40719-022-00229-1 [crossref]6. Arksey, H., & O’Malley, L. (2005). Scoping studies: towards a methodological framework. International Journal of Social Research Methodology, 8(1), 19–32. https://doi.org/10.1080/1364557032000119616 [crossref]7. Tricco, A.C.; Lillie, E.; Zarin, W.; O’Brien, K.K.; Colquhoun, H.; Levac, D.; Moher, D.; Peters, M.D.J.; Horsley, T.; Weeks, L.; et al. PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and Explanation. Ann. Intern. Med. 2018, 169, 467–473. doi:10.7326/M18-0850 [crossref]8. Mount Sinai Health System. (n.d.). Orthopedic trauma. Mount Sinai. https://www.mountsinai.org/care/orthopedics/services/orthopedic-trauma9. Hardaker, W. M., Jusabani, M., Massawe, H., Pallangyo, A., Temu, R., Masenga, G., Fessehaie, N., Numfor, A., Winterton, M., Premkumar, A., & Sheth, N. P. (2022). The burden of orthopaedic disease presenting to a tertiary referral center in Moshi, Tanzania: a cross-sectional study. The Pan African medical journal, 42, 96. https://doi.org/10.11604/pamj.2022.42.96.30004 [crossref]10. Omondi M. P. (2024). Epidemiology of orthopedic injuries among inpatients admitted at a tertiary teaching and referral hospital in Kenya: a retrospective cross-sectional study. BMC musculoskeletal disorders, 25(1), 670. https://doi.org/10.1186/s12891-024-07793-4 [crossref]11. World Bank. (2025). Rural population (% of total population)- Sub-Saharan Africa. The World Bank. Retrieved September 7, 2025, from https://data.worldbank.org/indicator/SP.RUR.TOTL.ZS?locations=ZG12. Kassa, S., & Laytin, A. D. (2024). Long-term disability after trauma in Ethiopia: shedding light on a hidden epidemic. Trauma surgery & acute care open, 9(1), e001473. https://doi.org/10.1136/tsaco-2024-001473 [crossref]13. Sikweyiya, Y., Stern, E., Hanass-Hancock, J. et al. Intersections between disability, masculinities, and violence: experiences and insights from men with physical disabilities from three African countries. BMC Public Health 22, 705 (2022). https://doi.org/10.1186/s12889-022-13137-5 [crossref]14. Oke, G. (2025). Interdisciplinary cross-sectoral strategies to mitigate health workforce migration in Africa. Journal of Medicine, Surgery, and Public Health, 5, 100179. https://doi.org/10.1016/j.glmedi.2025.100179 [crossref]15. Saghir, J., & Santoro, J. (2018, April 12). Urbanization in Sub-Saharan Africa. Center for Strategic and International Studies. https://www.csis.org/analysis/urbanization-sub-saharan-africa16. World Health Organization Regional Office for Africa. (2024, July 16). Road traffic deaths rise in the African region, but down globally, WHO report. https://www.afro.who.int/news/road-traffic-deaths-rise-african-region-down-globally-who-report17. Adeloye, D., Thompson, J. Y., Akanbi, M. A., Azuh, D., Samuel, V., Omoregbe, N., & Ayo, C. K. (2016). The burden of road traffic crashes, injuries and deaths in Africa: a systematic review and meta-analysis. Bulletin of the World Health Organization, 94(7), 510–521A. https://doi.org/10.2471/BLT.15.163121 [crossref]18. Ahasan, M. R., & Partanen, T. (2001). Occupational health and safety in the least developed countries–a simple case of neglect. Journal of epidemiology, 11(2), 74–80. https://doi.org/10.2188/jea.11.74 [crossref]19. Berhanu, F., Gebrehiwot, M. & Gizaw, Z. Workplace injury and associated factors among construction workers in Gondar town, Northwest Ethiopia. BMC Musculoskelet Disord 20, 523 (2019). https://doi.org/10.1186/s12891-019-2917-1 [crossref]20. Iloh Phd, Gabriel & Chuku, Abali & Ofoedu, John & Ugwele, OgbonnaHyginus & Onyekwere, James & Amadi, Agwu. (2013). The emerging trend in the epidemiology of gunshot injuries in the emergency department of a Nigerian tertiary hospital in a State without formal prehospital emergency medical services. Annals of Tropical Medicine and Public Health. 6. 435-440. 10.4103/1755-6783.127794.21. Martin, C., Thiart, G., McCollum, G., Roche, S., & Maqungo, S. (2017). The burden of gunshot injuries on orthopaedic healthcare resources in South Africa. South African medical journal = Suid-Afrikaanse tydskrif vir geneeskunde, 107(7), 626–630. https://doi.org/10.7196/SAMJ.2017.v107i7.12257 [crossref]22. Alruwaili, A., & Alanazy, A. R. M. (2022). Prehospital Time Interval for Urban and Rural Emergency Medical Services: A Systematic Literature Review. Healthcare (Basel, Switzerland), 10(12), 2391. https://doi.org/10.3390/healthcare10122391.https://doi.org/https://www.emjema.org/index.php/EMJ/article/view/180623. Kannan, V. C., Tenner, A., Sawe, H. R., Osiro, M., Kyobe, T., Nahayo, E., Rasamimanana, N. G., Kivlehan, S., & Moresky, R. (2020). Emergency care systems in Africa: A focus on quality. African journal of emergency medicine : Revue africaine de la medecine d'urgence, 10(Suppl 1), S65–S72. https://doi.org/10.1016/j.afjem.2020.04.010 [crossref]24. Lee, B., Kong, V., Cheung, C., Rajaretnam, N., Bruce, J., Manchev, V., Mills, R., & Clarke, D. (2023). The association between rural or urban setting and outcomes in geriatric trauma patients in South Africa: a retrospective cohort study. Surgery in practice and science, 14, 100184. https://doi.org/10.1016/j.sipas.2023.100184 [crossref]25. Ponce, J., Okano, J.T., Low, A. et al. Extreme geographic misalignment of healthcare resources and HIV treatment deserts in Malawi. Nat Med 31, 1474–1483 (2025). https://doi.org/10.1038/s41591-025-03561-6 [crossref]26. Baidoo, P. K., Kumah-Ametepey, R., Segbefia, M., & Buunaaim, A. D. B. (2021). Treatment and outcomes of pediatric supracondylar humeral fractures in Korle Bu Teaching Hospital. OTA Int, 4(2), e124. https://doi.org/10.1097/oi9.0000000000000124 [crossref]27. Long, C., Tagang, E. T. N., Popat, R. A., Lawong, E. K., Brown, J. A., & Wren, S. M. (2015). Factors associated with delays to surgical presentation in North-West Cameroon. Surgery, 158(3), 756–763. https://doi.org/10.1016/j.surg.2015.04.016 [crossref]28. Odatuwa-Omagbemi, D. O., Adiki, T. O., Elachi, C. I., & Bafor, A. (2018). Complications of traditional bone setters (TBS) treatment of musculoskeletal injuries: experience in a private setting in Warri, South-South Nigeria. The Pan African medical journal, 30, 189. https://doi.org/10.11604/pamj.2018.30.189.15730 [crossref]29. Seid, M. A., Walelgn, B., Kibret Sendekie, A., Walle, G. T., Geremew, M. A., Sahlu, M. H., Mekonen, S. A., & Abate, B. B. (2025). Utilization and associated factors of traditional bone setting service among patients with musculoskeletal injuries in Northeast Ethiopia. Frontiers in rehabilitation sciences, 6, 1484403. https://doi.org/10.3389/fresc.2025.1484403 [crossref]30. Minehara, H., Maruo, A., Amadei, R., Contini, A., Braile, A., Kelly, M., Jenner, L., Schemitsch, G. W., Schemitsch, E. H., & Miclau, T., 3rd (2023). Open fractures: Current treatment perspective. OTA international : the open access journal of orthopaedic trauma, 6(3 Suppl), e240. https://doi.org/10.1097/OI9.0000000000000240 [crossref]31. Stephens, T., Mezei, A., O’Hara, N.N. et al. When Surgical Resources are Severely Constrained, Who Receives Care? Determinants of Access to Orthopaedic Trauma Surgery in Uganda. World J Surg 41, 1415–1419 (2017). https://doi-org.kumc.idm.oclc.org/10.1007/s00268-017-3874-132. Dela, S. S., Paruk, F., Conradie, M., Jordaan, J. D., Kalla, A. A., Lukhele, M., & Cassim, B. (2022). Access to care for low trauma hip fractures in South Africa. Arch Osteoporos, 17(1), 15. https://doi.org/10.1007/s11657-022-01057-1 [crossref]33. Young, S., Banza, L., Munthali, B. S., Manda, K. G., Gallaher, J., & Charles, A. (2016). The impact of the increasing burden of trauma in Malawi on orthopedic trauma service priorities at Kamuzu Central Hospital. Acta orthopaedica, 87(6), 632–636. https://doi.org/10.1080/17453674.2016.1228413.https://link.springer.com/article/10.1007%2Fs00268-016-3496-z34. Cannata, G., Douryang, M., Ljoka, C., Giordani, L., Monticone, M., & Foti, C. (2022). The Burden of Disability in Africa and Cameroon: A Call for Optimizing the Education in Physical and Rehabilitation Medicine. Frontiers in rehabilitation sciences, 3, 873362. https://doi.org/10.3389/fresc.2022.873362.https://doi.org/10.1016/j.sipas.2023.10018435. Dixon, J., de Vries, S., Fleischer, C., Bhaumik, S., Dymond, C., et al. (2024). Preventable trauma deaths in the Western Cape of South Africa: A consensus-based panel review. PLOS Global Public Health, 4(5), e0003122. https://doi.org/10.1371/journal.pgph.0003122 [crossref]36. Pedrini, G., Cardi, M., Landini, A., & Strada, G. (2011). Management of severe open ankle-foot trauma by a simple external fixation technique: an alternative during war and in resource-poor and low-technology environments. Journal of orthopaedic trauma, 25(3), 180–187. https://doi.org/10.1097/BOT.0b013e3181d4be0f.https://doi.org/10.3171/2022.11.Spine2276337. Alkhawashki, H.M.I. Challenges of orthopaedics and trauma care in the Africa, Near and Middle East region. International Orthopaedics (SICOT) 47, 2897–2899 (2023). https://doi.org/10.1007/s00264-023-06030-2 [crossref]38. Osebo, C., Razek, T., Munthali, V., & Boniface, R. (2025). Evaluating the availability, effectiveness, and impact of primary trauma care training in Sub-Saharan Africa: A comprehensive review. African Journal of Emergency Medicine. https://doi.org/10.1016/j.afjem.2025.03.003 [crossref]39. Blackman B, Barnett S, Premkumar A, Sheth NP (2024) Orthopaedic and trauma research in Tanzania: A scoping review. PLoS ONE 19(6): e0304218. https://doi.org/10.1371/journal.pone.0304218, [crossref]40. Albright, P. D., Ali, S. H., Jackson, H., Haonga, B. T., Eliezer, E. N., Morshed, S., & Shearer, D. W. (2020). Delays to Surgery and Coronal Malalignment Are Associated with Reoperation after Open Tibia Fractures in Tanzania. Clinical orthopaedics and related research, 478(8), 1825‐1835. https://doi.org/10.1097/CORR.0000000000001279 [crossref]41. Arojuraye, S. A., Alabi, I. A., & Mustapha, I. U. (2024). Outcome of percutaneous reconstruction of chronic lateral collateral ligament rupture. Chin J Traumatol, 27(1), 58-62. https://doi.org/10.1016/j.cjtee.2023.09.004 [crossref]42. Baidoo, P. K., Odei, J. B., Ansu, V., Segbefia, M., & Holdbrook-Smith, H. (2021). Predictors of hip fracture mortality in Ghana: a single-center prospective study. Arch Osteoporos, 16(1), 35. https://doi.org/10.1007/s11657-021-00883-z [crossref]43. Birlie, T., Biresaw, B., Yadeta, E., Getachew, T., Debella, A., & Eyeberu, A. (2023). Knee Pain After Retrograde Intramedullary Nailing with Surgical Implant Generation Network of Femur Shaft Fractures at Public Hospitals in Bahir Dar City, Ethiopia: Analysis of 6-Months Follow-Up Results. Orthop Res Rev, 15, 59-68. https://doi.org/10.2147/orr.S406176 [crossref]44. Chalya, P. L., Hauli, K. A., Kayange, N. M., Mweteni, W., Kapessa, A., & Ngallaba, S. E. (2016). Trauma admissions among street children at a tertiary care hospital in north-western Tanzania: a neglected public health problem. Tanzania Journal of Health Research, 18(3). https://doi.org/https://www.ajol.info/index.php/thrb/article/view/107748/13252845. Doorgakant, A., & Mkandawire, N. C. (2012). The management of isolated closed femoral shaft fractures in a district hospital in Malawi. Tropical Doctor, 42(1), 8-12. https://doi.org/10.1258/td.2011.110211 https://td.rsmjournals.com/content/42/1/8.abstract46. Dworkin, M., Cyuzuzo, T., Hategekimana, J. D., Katabogama, J., Ntirenganya, F., & Rickard, J. (2020). Barriers to Surgical Care at a Tertiary Hospital in Kigali, Rwanda. J Surg Res, 250, 148-155. https://doi.org/10.1016/j.jss.2019.12.045 [crossref]47. Fonkoue, L., Tissingh, E. K., Muluem, O. K., Kong, D., Ngongang, O., Tambekou, U., Handy, D., Cornu, O., & McNally, M. (2023). Predictive factors for fracture-related infection in open tibial fractures in a Sub-Saharan African setting. Injury, 54(7), 110816. https://doi.org/10.1016/j.injury.2023.05.047 [crossref]48. Hailu, S., & Gebreyohanes, M. (2020). Prevalence of delayed presentation of open long bone fracture patients at two Ethiopian tertiary hospitals. Ethiopian Medical Journal, 58, 200-204. https://doi.org/https://www.emjema.org/index.php/EMJ/article/view/180649. Holler, J. T., Cortez, A., Challa, S., Eliezer, E., Hoanga, B., Morshed, S., & Shearer, D. W. (2022). Risk Factors for Delayed Hospital Admission and Surgical Treatment of Open Tibial Fractures in Tanzania. J Bone Joint Surg Am, 104(8), 716-722. https://doi.org/10.2106/jbjs.21.00727 [crossref]50. Holler, J. T., MacKechnie, M. C., Albright, P. D., Morshed, S., Shearer, D. W., & Terry, M. J. (2020). The Impact of Inadequate Soft-tissue Coverage following Severe Open Tibia Fractures in Tanzania. Plast Reconstr Surg Glob Open, 8(12), e3272. https://doi.org/10.1097/gox.0000000000003272 [crossref]51. Ifesanya, A. O., & Alonge, T. O. (2012). Operative stabilization of open long bone fractures: A tropical tertiary hospital experience. Niger Med J, 53(1), 16-20. https://doi.org/10.4103/0300-1652.99825 [crossref]52. Kisitu, D. K., O'Hara, N. N., Slobogean, G. P., Howe, A. L., Blachut, P. A., O'Brien, P. J., & Stockton, D. J. (2022). Unreamed Intramedullary Nailing Versus External Fixation for the Treatment of Open Tibial Shaft Fractures in Uganda: a Randomized Clinical Trial. Journal of orthopaedic trauma, 36(9), 349‐357. https://doi.org/10.1097/BOT.0000000000002362 [crossref]53. Komlatsè, A. N., Azanledji, B. M., Abossisso, S. K., Anani, M. A., Komla, G., & Hubert, T. (2014). Elastic stable intramedullary nailing of femoral shaft fractures in children: particularities and results at Sylvanus Olympio Teaching Hospital of Lomé, Togo. Afr J Paediatr Surg, 11(1), 8-11. https://doi.org/10.4103/0189-6725.129202 [crossref]54. Kramer, E. J., Shearer, D. W., Marseille, E., Haonga, B., Ngahyoma, J., Eliezer, E., & Morshed, S. (2016). The cost of intramedullary nailing for femoral shaft fractures in Dar es Salaam, Tanzania. World Journal of Surgery, 40(9), 2098-2108. https://doi.org/10.1007/s00268-016-3496-z https://link.springer.com/article/10.1007%2Fs00268-016-3496-z55. Leidinger, A., Kim, E. E., Navarro-Ramirez, R., Rutabasibwa, N., Msuya, S. R., Askin, G., Greving, R., Shabani, H. K., & Härtl, R. (2019). Spinal trauma in Tanzania: current management and outcomes. J Neurosurg Spine, 31(1), 103-111. https://doi.org/10.3171/2018.12.Spine18635 [crossref]56. Leidinger, A., Zuckerman, S. L., Feng, Y., He, Y., Chen, X., Cheserem, B., Gerber, L. M., Lessing, N. L., Shabani, H. K., Härtl, R., & Mangat, H. S. (2023). Predictors of spinal trauma care and outcomes in a resource-constrained environment: a decision tree analysis of spinal trauma surgery and outcomes in Tanzania. J Neurosurg Spine, 38(4), 503-511. https://doi.org/10.3171/2022.11.Spine22763 [crossref]57. Haonga, Billy T. MD; Liu, Max AB; Albright, Patrick MS; Challa, Sravya T. BS; Ali, Syed H. BS; Lazar, Ann A. PhD; Eliezer, Edmund N. MD; Shearer, David W. MD; Morshed, Saam MD, MPH, PhD. Intramedullary Nailing Versus External Fixation in the Treatment of Open Tibial Fractures in Tanzania: Results of a Randomized Clinical Trial. The Journal of Bone and Joint Surgery 102(10):p 896-905, May 20, 2020. DOI: 10.2106/JBJS.19.00563 [crossref]58. Magogo, J., Lazaro, A., Mango, M., Zuckerman, S. L., Leidinger, A., Msuya, S., Rutabasibwa, N., Shabani, H. K., & Härtl, R. (2021). Operative Treatment of Traumatic Spinal Injuries in Tanzania: Surgical Management, Neurologic Outcomes, and Time to Surgery. Global Spine J, 11(1), 89-98. https://doi.org/10.1177/2192568219894956 [crossref]59. Makobore, P., Galukande, M., Kalanzi, E., & Kijjambu, S. C. (2015). The burden of hand injuries at a tertiary hospital in sub-Saharan Africa. Emergency Medicine International, 2015, Article ID 838572. https://doi.org/https://www.hindawi.com/journals/emi/2015/838572/60. Mathieu, L., Mottier, F., Bertani, A., Danis, J., Rongiéras, F., & Chauvin, F. (2014). Management of neglected open extremity fractures in low-resource settings: Experience of the French Army Medical Service in Chad. Orthop Traumatol Surg Res, 100(7), 815-820. https://doi.org/10.1016/j.otsr.2014.06.017 [crossref]61. Mathieu, L., Potier, L., Ndiaye, R., Mbaye, E., Sene, M., Faye, M., & Niang, C. D. (2021). Management of Gustilo type IIIB open tibial shaft fractures with limited resources: experience from an African trauma center. Eur J Trauma Emerg Surg, 47(1), 217-223. https://doi.org/10.1007/s00068-019-01223-0 [crossref]62. Mohammed Hassan Elbahri, H., Ali Aydrouce Ahmed, M., Omer Elgaili Yousif, Y., & Mohammed Ali Abd-Elmaged, H. (2024). Quality of Life After Proximal Femoral Fractures Treated With Gamma Nail in Sudan. Cureus, 16(3), e55702. https://doi.org/10.7759/cureus.55702 [crossref]63. Newton, D., England, M., Doll, H., & Gardner, B. P. (2011). The case for early treatment of dislocations of the cervical spine with cord involvement sustained playing rugby. J Bone Joint Surg Br, 93(12), 1646-1652. https://doi.org/10.1302/0301-620x.93b12.27048 [crossref]64. O'Hara, N. N., Mugarura, R., Potter, J., Stephens, T., Rehavi, M. M., Francois, P., Blachut, P. A., O'Brien, P. J., Mezei, A., Beyeza, T., & Slobogean, G. P. (2018). The Socioeconomic Implications of Isolated Tibial and Femoral Fractures from Road Traffic Injuries in Uganda. J Bone Joint Surg Am, 100(7), e43. https://doi.org/10.2106/jbjs.17.00439 [crossref]65. O'Hara, N. N., Odull, E., Potter, J., & Kajja, I. (2019). The willingness of orthopaedic trauma patients in Uganda to accept financial loans following injury. OTA Int, 2(4), e028. https://doi.org/10.1097/oi9.0000000000000028 [crossref]66. Odatuwa-Omagbemi, D. O. (2020). Open intramedullary nailing using 'Greens Instrumentation' in the treatment of femoral and tibial shaft fractures: a 5 years review of cases in a private health facility in the Niger Delta region of Nigeria. Journal of Medicine in the Tropics, 22(2), 115-121. https://doi.org/10.4103/jomt.jomt_7_20 [crossref]67. Sekimpi, P., Okike, K., Zirkle, L., & Jawa, A. (2011). Femoral fracture fixation in developing countries: an evaluation of the Surgical Implant Generation Network (SIGN) intramedullary nail. J Bone Joint Surg Am, 93(19), 1811-1818. https://doi.org/10.2106/jbjs.J.01322 [crossref]68. Shu, P. C., Motah, M., Massi, D. G., Ngunyi, Y. L., Budzi, N. M., & Mefire, A. C. (2023). Thoracolumbar spine injury in Cameroon: etiology, management, and outcome. BMC Musculoskelet Disord, 24(1), 386. https://doi.org/10.1186/s12891-023-06481-z [crossref]69. Sibindi, C., Mushambwe, T., Mageza, A., & Socci, A. (2021). Population characteristics, outcomes, and centerwide insights of the Zimbabwe national experience with the SIGN intramedullary nail (2013-2020). International Orthopaedics, 46(1), 89-96. https://doi.org/10.1007/s00264-021-05167-2 https://link.springer.com/article/10.1007/s00264-021-05167-270. Sonshine, D. B., Shantz, J., Kumah-Ametepey, R., Coughlin, R. R., & Gosselin, R. A. (2013). The implementation of a pilot femur fracture registry at Komfo Anokye Teaching Hospital: an analysis of data quality and barriers to collaborative capacity-building. World J Surg, 37(7), 1506-1512. https://doi.org/10.1007/s00268-012-1726-6 [crossref]71. Stephens, K. R., Shahab, F., Galat, D., Anderson, D., Shahabuddin, Whiting, P. S., Lundy, D. W., & Zirkle, L. G. (2015). Management of Distal Tibial Metaphyseal Fractures With the SIGN Intramedullary Nail in 3 Developing Countries. J Orthop Trauma, 29(12), e469-475. https://doi.org/10.1097/bot.0000000000000396 [crossref]72. Tall, M., Ouedraogo, I., Nd Kasse, A., Tekpa, B. J., Bonkoungou, G., Belem, S., Toe, M. F., & Da, S. C. (2012). Femur malunion treated with open osteotomy and intramedullary nailing in developing countries. Orthop Traumatol Surg Res, 98(7), 784-787. https://doi.org/10.1016/j.otsr.2012.05.016 [crossref]73. Tena, T., Workineh, A., Yirga, M., & Wamisho, B. L. (2024). Comparison of radiological and clinical outcome of unstable intertrochanteric fracture treated with dynamic condylar screw and proximal femoral nail antirotation: a facility based retrospective study. Ethiopian Medical Journal, 62, 105-111. https://doi.org/https://www.emjema.org/index.php/EMJ/article/view/263574. Tesso, C. B., Mohammed, T., Teshome, B., Ayalew, K., & Kebede, S. (2024). Magnitude of infection and associated factors in open tibial fracture treated operatively, in Addis Ababa burn emergency and trauma center. Eur J Orthop Surg Traumatol, 35(1), 46. https://doi.org/10.1007/s00590-024-04149-5 [crossref]75. Tesso, C. B., Zirkle, L. G., Worku, A., Tilahun, G., Kebede, S., & Desta, T. (2023). Outcome of tibial shaft fractures treated with the SIGN FIN nail at Addis Ababa Emergency, Burn, and Trauma Hospital (AaEBT) Addis Ababa, Ethiopia. OTA Int, 6(1), e230. https://doi.org/10.1097/oi9.0000000000000230 [crossref]76. Tilahun, L., Zeleke, M., Desu, B., Dagnew, K., Nega, A., Birrie, E., Estifanos, N., Tegegne, A., & Feleke, A. (2024). Time to recovery and its predictors following traumatic injuries among injured victims in Dessie Comprehensive Specialized Hospital, North East of Ethiopia, 2022: a retrospective follow-up study. BMC Emerg Med, 24(1), 44. https://doi.org/10.1186/s12873-024-00960-9 [crossref]77. Tsegaye, Y. A., Tegegne, B. B., Ayehu, G. W., Amisalu, B. T., & Sulala, A. C. (2024). Prospective study on functional outcome of distal femur fracture treated by open reduction and internal fixation using distal femur locking plate in Tibebe Ghion Specialized Hospital, Bahirdar, North West Ethiopia. J Orthop Surg Res, 19(1), 582. https://doi.org/10.1186/s13018-024-05054-7 [crossref]78. van Rensburg, K., Steyn, W., Cassimjee, I., & Moeng, M. S. (2025). Outcomes of popliteal artery injuries in a level 1 trauma centre: a 6-year review. Eur J Trauma Emerg Surg, 51(1), 63. https://doi.org/10.1007/s00068-024-02691-9 [crossref]79. Waterkeyn, F., Ikwuegbuenyi, C. A., Sommer, F., Shayo, C., Shabani, H. K., & Härtl, R. (2023). Presentation, Management, and Outcomes of Traumatic Spinal Injuries Following Coconut Tree Fall in Tanzania: A Retrospective Study of 44 Cases. World Neurosurg, 175, e320-e325. https://doi.org/10.1016/j.wneu.2023.03.080 [crossref]80. Yaokreh, J. B., Sounkéré-Soro, M., Tembely, S., Kouamé, Y. G., Thomas, A. H., Odéhouri-Koudou, T. H., Kouamé, B. D., & Ouattara, O. (2021). Compared outcomes of femoral shaft fracture treatment in school-age children in Sub-Saharan Africa: Primary open reduction and intramedullary K-wire fixation versus traction followed by spica cast. Afr J Paediatr Surg, 18(2), 79-84. https://doi.org/10.4103/ajps.AJPS_35_20 [crossref]81. Zuckerman, S. L., Haghdel, A., Lessing, N. L., Carnevale, J., Cheserem, B., Lazaro, A., Leidinger, A., Rutabasibwa, N., Shabani, H. K., Mangat, H., & Härtl, R. (2021). Cervical Spine Trauma in East Africa: Presentation, Treatment, and Mortality. Int J Spine Surg, 15(5), 879-889. https://doi.org/10.14444/8113. [crossref]
| Search Strategy Category | Search Terms Used |
| Surgery | (“surgery”[mh] OR “surgery”[tiab] OR “operation”[mh] OR “operation”[tiab] OR “operative”[mh] OR “operative”[tiab] OR “surgical”[mh] OR “surgical”[tiab] OR “fixation”[mh] OR “fixation”[tiab] OR “arthroscopy”[mh] OR “arthroscopy”[tiab] OR “replacement”[mh] OR “replacement”[tiab] OR “reconstruction”[mh] OR “reconstruction”[tiab] OR “fusion”[mh] OR “fusion”[tiab] OR “osteotomy”[mh] OR “osteotomy”[tiab] OR “graft”[mh] OR “graft”[tiab] OR “debridement”[mh] OR “debridement”[tiab] OR “reduction”[mh] OR “reduction”[tiab] OR “repair”[mh] OR “repair”[tiab] OR “salvage”[mh] OR “salvage”[tiab] OR “resection”[mh] OR “resection”[tiab] OR “internal fixation”[mh] OR “internal fixation”[tiab] OR “external fixation”[mh] OR “external fixation”[tiab] OR “preservation”[mh] OR “preservation”[tiab]) |
| Orthopedic Anatomy | (“acetabular”[mh] OR “acetabular”[tiab] OR “ankle”[mh] OR “ankle”[tiab] OR “bone”[mh] OR “bone”[tiab] OR “muscle”[mh] OR “muscle”[tiab] OR “tendon”[mh] OR “tendon”[tiab] OR “cartilage”[mh] OR “cartilage”[tiab] OR “elbow”[mh] OR “elbow”[tiab] OR “joint”[mh] OR “joint”[tiab] OR “femoral”[mh] OR “femoral”[tiab] OR “fibula”[mh] OR “fibula”[tiab] OR “finger”[mh] OR “finger”[tiab] OR “foot”[mh] OR “foot”[tiab] OR “hand”[mh] OR “hand”[tiab] OR “hip”[mh] OR “hip”[tiab] OR “knee”[mh] OR “knee”[tiab] OR “ligament”[mh] OR “ligament”[tiab] OR “limb”[mh] OR “limb”[tiab] OR “trauma”[mh] OR “trauma”[tiab] OR “orthopedic”[mh] OR “orthopedic”[tiab] OR “shoulder”[mh] OR “shoulder”[tiab] OR “spine”[mh] OR “spine”[tiab] OR “spinal”[mh] OR “spinal”[tiab] OR “toe”[mh] OR “toe”[tiab] OR “vertebrae”[mh] OR “vertebrae”[tiab] OR “vertebral”[mh] OR “vertebral”[tiab] OR “wrist”[mh] OR “wrist”[tiab] OR “humerus”[mh] OR “humerus”[tiab] OR “radius”[mh] OR “radius”[tiab] OR “ulna”[mh] OR “ulna”[tiab] OR “clavicle”[mh] OR “clavicle”[tiab] OR “pelvis”[mh] OR “pelvis”[tiab] OR “scapula”[mh] OR “scapula”[tiab] OR “patella”[mh] OR “patella”[tiab] OR “metacarpal”[mh] OR “metacarpal”[tiab] OR “metatarsal”[mh] OR “metatarsal”[tiab] OR “phalanges”[mh] OR “phalanges”[tiab] OR “sternum”[mh] OR “sternum”[tiab] OR “sacrum”[mh] OR “sacrum”[tiab] OR “tibia”[mh] OR “tibia”[tiab] OR “femur”[mh] OR “femur”[tiab]) |
| Time to Surgery | (“time to surgery”[MH] OR “time”[MH] OR “timing”[MH] OR “timing of surgery”[MH] OR “surgical delay”[MH] OR “treatment delay”[MH] OR “timing to surgery”[MH] OR “time to treatment”[MH] OR “delayed intervention”[MH] OR OR “early intervention”[MH] OR “surgical timing”[MH] OR “time from injury”[MH] OR “preoperative delay”[MH] OR “waiting time”[MH] OR “surgical access”[MH] OR “hospital admission to surgery”[MH] OR “time from injury to operation”[MH] OR “delay in fracture fixation”[MH] OR “time to surgery”[TIAB] OR “time”[TIAB] OR “timing of surgery”[TIAB] OR “surgical delay”[TIAB] OR “treatment delay”[TIAB] OR “time to treatment”[TIAB] OR “delayed intervention”[TIAB] OR “early intervention”[TIAB] OR “surgical timing”[TIAB] OR “late surgery”[TIAB] OR “preoperative delay”[TIAB] OR “waiting time”[TIAB] OR “surgical access”[TIAB] OR “hospital admission to surgery”[TIAB] OR “time from injury to operation”[TIAB] OR “time to admission”[TIAB]) |
| Sub-Saharan Africa | (“Africa South of the Sahara” [mh] OR “Angola” [mh] OR “Benin” [mh] OR “Botswana” [mh] OR “Burkina Faso” [mh] OR “Burundi” [mh] OR “Cabo Verde” [mh] OR “Cameroon” [mh] OR “Central African Republic” [mh] OR “Chad” [mh] OR “Comoros” [mh] OR “Congo” [mh] OR “Cote d’Ivoire” [mh] OR “Democratic Republic of the Congo” [mh] OR “Djibouti” [mh] OR “Equatorial Guinea” [mh] OR “Eritrea” [mh] OR “Eswatini” [mh] OR “Ethiopia” [mh] OR “Gabon” [mh] OR “Gambia” [mh] OR “Ghana” [mh] OR “Guinea” [mh] OR “Guinea-Bissau” [mh] OR “Kenya” [mh] OR “Lesotho” [mh] OR “Liberia” [mh] OR “Madagascar” [mh] OR “Malawi” [mh] OR “Mali” [mh] OR “Mauritania” [mh] OR “Mozambique” [mh] OR “Namibia” [mh] OR “Niger” [mh] OR “Nigeria” [mh] OR “Rwanda” [mh] OR “Sao Tome and Principe” [mh] OR “Senegal” [mh] OR “Seychelles” [mh] OR “Sierra Leone” [mh] OR “Somalia” [mh] OR “South Africa” [mh] OR “South Sudan” [mh] OR “Sudan” [mh] OR “Tanzania” [mh] OR “Togo” [mh] OR “Uganda” [mh] OR “Zambia” [mh] OR “Zimbabwe” [mh] OR “Angola” [tiab] OR “Benin” [tiab] OR “Botswana” [tiab] OR “Bobo Dioulasso” [tiab] OR “Burkina Faso” [tiab] OR “Burundi” [tiab] OR “Cameroon” [tiab] OR “Cape Verde” [tiab] OR “Central African Republic” [tiab] OR “Chad” [tiab] OR “Comoros” [tiab] OR “Congo” [tiab] OR “Brazzaville” [tiab] OR “Cote d Ivoire” [tiab] OR “Djibouti” [tiab] OR “Equatorial Guinea” [tiab] OR “Eritrea” [tiab] OR “Ethiopia” [tiab] OR “Gabon” [tiab] OR “Gambia” [tiab] OR “Ghana” [tiab] OR “Guinea” [tiab] OR “Bissau” [tiab] OR “Kenya” [tiab] OR “Lesotho” [tiab] OR “Liberia” [tiab] OR “Madagascar” [tiab] OR “Malawi” [tiab] OR “Mali” [tiab] OR “Mauritania” [tiab] OR “Mauritius” [tiab] OR “Mozambique” [tiab] OR “Namibia” [tiab] OR “Niger” [tiab] OR “Nigeria” [tiab] OR “Rwanda” [tiab] OR “Sao Tome e Principe” [tiab] OR “Senegal” [tiab] OR “Seychelles” [tiab] OR “Sierra Leone” [tiab] OR “Somalia” [tiab] OR “South Africa” [tiab] OR “South Sudan” [tiab] OR “Sudan” [tiab] OR “Swaziland” [tiab] OR “Tanzania” [tiab] OR “Togo” [tiab] OR “Uganda” [tiab] OR “Zaire” [tiab] OR “Zambia” [tiab] OR “Zimbabwe” [tiab] OR “south sahara” [tiab:~2] OR “southern sahara” [tiab:~2] OR “east sahara” [tiab:~2] OR “eastern sahara” [tiab:~2] OR “west saraha” [tiab:~2] OR “western saraha” [tiab:~2] OR “sub saraha” [tiab:~2] OR “sub sarahan” [tiab:~2] OR “southern africa” [tiab:~2] OR “Abidjan” [tiab] OR “Abuja” [tiab] OR “Accra” [tiab] OR “Addis Ababa” [tiab] OR “Cape Town” [tiab] OR “Dar es Salaam” [tiab] OR “Durban” [tiab] OR “Harare” [tiab] OR “Johannesburg” [tiab] OR “Juba” [tiab] OR “Kampala” [tiab] OR “Kinshasa” [tiab] OR “Lagos” [tiab] OR “Luanda” [tiab] OR “Lusaka” [tiab] OR “Mogadishu” [tiab] OR “Nairobi” [tiab] OR “Pretoria” [tiab] OR “Windhoek” [tiab] OR “Dodoma” [tiab] OR “Maputo” [tiab] OR “Jinja” [tiab] OR “Nigerians” [tiab] OR “Angolans” [tiab] OR “Beninese” [tiab] OR “Botswanans” [tiab] OR “Burkinabé” [tiab] OR “Burundians” [tiab] OR “Cameroonians” [tiab] OR “Cape Verdeans” [tiab] OR “Central African Republic citizens” [tiab] OR “Chadians” [tiab] OR “Comorians” [tiab] OR “Congolese” [tiab] OR “Congo Brazzaville citizens” [tiab] OR “Ivorians” [tiab] OR “Djiboutians” [tiab] OR “Equatorial Guineans” [tiab] OR “Eritreans” [tiab] OR “Ethiopians” [tiab] OR “Gabonese” [tiab] OR “Gambians” [tiab] OR “Ghanaians” [tiab] OR “Guineans” [tiab] OR “Guinea-Bissauans” [tiab] OR “Kenyans” [tiab] OR “Lesotho citizens” [tiab] OR “Liberians” [tiab] OR “Madagascans” [tiab] OR “Malawians” [tiab] OR “Malians” [tiab] OR “Mauritanians” [tiab] OR “Mauritians” [tiab] OR “Mozambicans” [tiab] OR “Namibians” [tiab] OR “Nigeriens” [tiab] OR “Nigerians” [tiab] OR “Rwandans” [tiab] OR “São Tomé and Príncipe citizens” [tiab] OR “Senegalese” [tiab] OR “Seychellois” [tiab] OR “Sierra Leoneans” [tiab] OR “Somalians” [tiab] OR “South Africans” [tiab] OR “South Sudanese” [tiab] OR “Sudanese” [tiab] OR “Swazis” [tiab] OR “Tanzanians” [tiab] OR “Togolese” [tiab] OR “Ugandans” [tiab] OR “Zairians” [tiab] OR “Zambians” [tiab] OR “Zimbabweans” [tiab]) |
*Note that all Search Terms were adapted accordingly to accommodate for database preferred search language
| First Author | Year | Study Design | Country | Sample Size | Male | Female | Mean Age (Years) | Orthopedic Injury | Time to Treatment Reported |
| P. D. Albright [40] | 2020 | Prospective Cohort | Tanzania | 240 | 201 | 39 | 33 ± 11 | Open Diaphyseal Tibia Fractures | Injury to Admission; Admission to Surgery; Injury to Surgery |
| S. A. Arojuraye [41] | 2024 | Prospective and Interventional | Nigeria | 46 | 37 | 9 | 30.1 ± 5.9 | LCL Rupture | Injury to Surgery |
| P. K. Baidoo [26] | 2021 | Prospective Cohort | Ghana | 101 | 73 | 28 | 5.2 ± 2.3 | Pediatric Supracondylar Humeral Fractures | Injury to Admission; Admission to Surgery |
| P. K. Baidoo [42] | 2021 | Prospective Cohort | Ghana | 76 | 36 | 40 | 75.8 ± 12.01 | Proximal Femur fractures | Injury to Surgery |
| T. Birlie [43] | 2023 | Prospective Cross-sectional | Ethiopia | 110 | 87 | 23 | 31.74 ± 13.3 | Femur Shaft Fractures | Injury to Surgery |
| P. L. Chalya [44] | 2016 | Prospective Descriptive | Tanzania | 342 | 298 | 44 | 12 | Musculoskeletal injuries and Fractures/dislocations | Admission to Surgery |
| S. S. Dela [32] | 2022 | Prospective Observational | South Africa | 1996 | 650 | 1346 | 73 | Low Trauma Hip Fractures | Injury to Admission; Admission to Surgery |
| A. Doorgakant [45] | 2012 | Prospective Audit | Malawi | 20 | 13 | 7 | 34.5 | Isolated Closed Femoral Shaft Fractures | Admission to Surgery |
| M. Dworkin [46] | 2020 | Prospective Cohort | Rwanda | 49 | 0 | 0 | 33 | Multiple Musculoskeletal injuries and Fractures/Dislocations | Injury to Admission; Admission to Surgery; Injury to Surgery |
| L. Fonkoue [47] | 2023 | Retrospective Analysis | Cameroon | 105 | 61 | 44 | 37.9 ± 12.9 | Open Tibial Fractures | Injury to Admission; Injury to Surgery |
| S. Hailu [48] | 2020 | Prospective Observational | Ethiopia | 301 | 256 | 45 | 32 ± 14.23 | Open Long Bone Fractures | Injury to Admission; Admission to Surgery |
| J. T. Holler [49] | 2022 | Prospective Observational | Tanzania | 249 | 210 | 39 | 33 ± 11 | Open Diaphyseal Tibia Fractures | Injury to Admission; Admission to Surgery |
| J. T. Holler [50] | 2020 | Prospective Cohort | Tanzania | 7 | 3 | 4 | 36.1 ± 6.1 | Gustilo-Anderson Classification Type IIIB Open Tibial Shaft Fractures | Injury to Admission; Admission to Surgery |
| A. O. Ifesanya [27] | 2012 | Retrospective Analysis | Nigeria | 160 | 99 | 61 | 34.4 ±13.3 | Open Long Bone Fractures | Injury to Surgery |
| D. K. Kisitu [51] | 2022 | RCT | Uganda | 55 | 37 | 18 | 39 ± 12 | Gustilo-Anderson Type II and IIIA Open Tibial Shaft Fractures | Admission to Surgery |
| A. N. Komlatsè [53] | 2014 | Retrospective Analysis | Togo | 32 | 17 | 15 | 11 | Open Femoral Shaft Fractures | Injury to Surgery |
| E. J. Kramer [54] | 2016 | Prospective Observational | Tanzania | 46 | 38 | 8 | 32.4 | Femoral Shaft Fractures | Injury to Surgery |
| A. Leidinger [55] | 2019 | Retrospective Cohort | Tanzania | 180 | 149 | 31 | 35.7 ± 12 | Cervical, Thoracic, and Lumbar Spinal Injuries | Injury to Surgery |
| A. Leidinger [56] | 2023 | Retrospective Cohort | Tanzania | 284 | 238 | 46 | 34 | Cervical and Thoracolumbar Spinal Injuries | Injury to Admission; Admission to Surgery |
| B. T. Haonga [57] | 2020 | Randomized Control Trial | Tanzania | 221 | 189 | 32 | 32.9 ± 10.6 | Open Diaphyseal Tibia Fractures | Injury to Admission; Admission to Surgery |
| J. Magogo [58] | 2021 | Prospective Cross-sectional | Tanzania | 97 | 78 | 19 | 34.7 ± 11.7 | Cervical and Thoracic/Lumbar Spinal Injuries | Injury to Admission; Admission to Surgery |
| P. Makobore [59] | 2015 | Prospective Descriptive | Uganda | 138 | 115 | 23 | 26.7 s ±12.8 | Lacerations, Crushed Bones, Fractures, Tendon Injuries and Other | Injury to Admission; Admission to Surgery |
| L. Mathieu [60] | 2014 | Prospective Observational | Chad | 27 | 24 | 3 | 30 ± 18 | Neglected Open Extremity Fractures | Injury to Admission; Admission to Surgery |
| L. Mathieu [61] | 2021 | Retrospective Analysis | Senegal | 27 | 22 | 5 | 36 ± 15 | Gustilo Type IIIB Open Tibia Diaphyseal Fractures | Injury to Surgery |
| H. Mohammed Hassan Elbahri [62] | 2024 | Prospective Cross-sectional | Sudan | 37 | 15 | 22 | 66.7 ± 15.6 | Proximal Femoral Fractures | Injury to Surgery |
| D. Newton [63] | 2011 | Retrospective Cohort | South Africa | 57 | 57 | 0 | 22 s (Median) | Cervical Spine Injuries | Injury to Admission; Admission to Surgery |
| N. N. O’Hara [64] | 2018 | Prospective Observational | Uganda | 54 | 48 | 6 | 33.7 | Isolated Tibial or Femoral Fractures | Injury to Surgery |
| N. N. O’Hara [65] | 2019 | Prospective Cross-sectional | Uganda | 40 | 23 | 17 | 40 | Lower Extremity Fractures | Injury to Admission; Injury to Surgery |
| D. O. Odatuwa-Omagbemi [66] | 2020 | Retrospective Analysis | Nigeria | 20 | 13 | 7 | 42 ± 18 | Femoral and Tibial Fractures | Injury to Admission; Injury to Surgery |
| P. Sekimpi [67] | 2011 | Prospective Cohort | Uganda | 50 | 37 | 13 | 31 | Closed Femoral Shaft Fractures | Admission to Surgery |
| P. C. Shu [68] | 2023 | Retrospective Analysis | Cameroon | 70 | 56 | 14 | 37.59 ± 14.07 | Lumbar, Thoracic, and Thoracic and Lumbar Spinal Injuries | Injury to Admission; Injury to Surgery |
| C. Sibindi [69] | 2021 | Retrospective Analysis | Zimbabwe | 1764 | 1305 | 459 | 36.83 ± 15.13 | Lower Extremity Fractures | Injury to Surgery |
| D. B. Sonshine [70] | 2013 | Observational | Ghana | 96 | 51 | 45 | 35 | Femur Fractures | Injury to Admission; Admission to Surgery |
| K. R. Stephens [71] | 2015 | Retrospective case Series | Kenya, Ethiopia, Pakistan | 160 | 127 | 33 | 35.3 ±13.1 | Distal Tibial Metaphyseal Fractures | Injury to Surgery |
| M. Tall [72] | 2012 | Prospective Case Series | Senegal, Burkina Faso | 16 | 12 | 4 | 34.5 | Diaphyseal Femur Fractures | Injury to Surgery |
| T. Tena [73] | 2024 | Retrospective Observational | Ethiopia | 51 | 31 | 20 | 51.6 | Unstable Intertrochanteric Fractures | Injury to Surgery |
| C. B. Tesso [74] | 2024 | Retrospective Cross-Sectional | Ethiopia | 235 | 171 | 64 | 35.82 ± 14.26 | Open Tibial Fractures | Injury to Admission; Admission to Surgery; Injury to Surgery |
| C. B. Tesso [75] | 2023 | Retrospective case Series | Ethiopia | 14 | 11 | 3 | 32.44 ± 8.98 | Tibial Shaft Fractures | Injury to Surgery |
| L. Tilahun [76] | 2024 | Retrospective Cohort | Ethiopia | 329 | 283 | 46 | 32.89 ± 13.91 | Fractures, Sprain or Strains | Admission to Surgery |
| Y. A. Tsegaye [77] | 2024 | Prospective Cohort | Ethiopia | 60 | 56 | 4 | 27.5 | Distal Femur Fractures | Injury to Admission; Admission to Surgery |
| K. van Rensburg [78] | 2025 | Retrospective Analysis | South Africa | 64 | 52 | 12 | 31 | 64 popliteal Injuries with associated Fractures and Dislocations. | Injury to Admission; Admission to Surgery; Injury to Surgery |
| F. Waterkeyn [79] | 2023 | Retrospective Analysis | Tanzania | 44 | 44 | 0 | 34.3 ± 12.1 | Lumbar, Thoracic, Cervical, and Thoracolumbar Fractures | Injury to Admission; Admission to Surgery |
| J. B. Yaokreh [80] | 2021 | Retrospective Analysis | Cote de Ivoire | 21 | 16 | 5 | 11.2 ± 2.52 | Femoral Shaft Fractures | Injury to Surgery |
| S. L. Zuckerman [81] | 2021 | Retrospective Analysis | Tanzania | 25 | 22 | 3 | 35.6 ± 12.9 | Cervical Spine Injuries | Injury to Admission; Admission to Surgery |
The Journal of Global Surgery (ONE) is proud to transparently publish its financial model to determine the ethical publishing cost required to publish one peer reviewed article on the platform. This figure is determined by two principle calculations: the fixed running costs of the platform per article (for example annual web server fees, DOI registration), and the indivudalised stipend payments that each journal distributes to its volunteer staff to administrate, edit and review manuscripts. Each journal may set its own stipend value to the editors, peer reviewers and administrators that support the journal’s activities.
Ultimately, the final article price tag will be known as the community article processing fee (CAPC). Once the article is officially published, the CAPC price tag can be paid in full by anyone (for example the authors, an institution, a philanthropist), or the article fee can be community crowd funded, where any individual can contribute to the CAPC to reduce the price tag for everyone else. Anyone contributing as little as $0.10 will have instant early access to the article, ensuring that even if the article remains locked, anyone in the world will have the opportunity for instant, affordable access to the article. And of course, once the CAPC has been paid in full, the entire community will have open access to the article with no further costs.
|
PLATFORM COST PER ARTICLE1 |
ARTICLE STIPENDS2 |
COMMUNITY ARTICLE PROCESSING CHARGE |
||
$16 |
+ |
$60 |
= |
$76 |
| Description | Cost ($) |
| Stipend made to peer reviewer for one peer review Note: This is the amount in dollars paid to one peer reviewer, irrespective of whether article is accepted or rejected. *Assumption is that one article will have two independent peer reviews |
10 |
| Stipend made to editor per article undergoing active peer review Note: This is the amount in dollars paid to the editor, irrespective of whether article is accepted or rejected. |
10 |
| Stipend made for administration and type setting per accepted article Using our platform, the automated typesetting process is extremely efficient with instant publication options |
15 |
| Bitcoin Cash payment given to authors to allow them instant access to their own article. | 2 |
| Final journal specific running costs based on manuscript acceptance rate of 70%* *based on estimation |
60 |
Figures last updated: July 27, 2021 at 7:10 pm
Article creation cost: $76
Community payments to date: $76.00
Remaining payments for open access: $0.00
The following payments have been made to help pay for this article:
| User | Amount | Payment method | Date |
| Anonymous | $1.00 | Bitcoin Cash | December 16, 2025 at 6:34 am |
| emergent_reasons | $5.00 | Bitcoin Cash | December 16, 2025 at 10:23 am |
| Anonymous | $8.00 | Bitcoin Cash | December 16, 2025 at 10:31 am |
| Almaas_Dast | $5.00 | Bitcoin Cash | December 16, 2025 at 11:40 am |
| Anonymous | $30.00 | Bitcoin Cash | December 16, 2025 at 12:30 pm |
| The Bitcoin Cash Podcast | $5.00 | Bitcoin Cash | December 16, 2025 at 5:43 pm |
| Anonymous | $2.00 | Bitcoin Cash | December 17, 2025 at 1:35 am |
| @cashstamps | $5.00 | Bitcoin Cash | December 17, 2025 at 2:49 am |
| devperate | $3.00 | Bitcoin Cash | December 17, 2025 at 3:13 am |
| Anonymous | $0.10 | Bitcoin Cash | December 17, 2025 at 4:56 am |
| Omar | $5.00 | Bitcoin Cash | December 17, 2025 at 6:09 am |
| Anonymous | $5.00 | Bitcoin Cash | December 17, 2025 at 7:01 am |
| Anonymous | $1.90 | Bitcoin Cash | December 17, 2025 at 9:12 am |
Cite this article
Select the citation style to generate the format below.
Export citation (includes abstract)
Select the format you want to export the citation of this publication.
Number of full article views: 2223
Number of PDF views: 117