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Abbas S, Chokotho L, Nyamulani N, Oliver VL. The burden of long bone fracture and health system response in Malawi: A scoping review. Injury 2024; 55:111243. [PMID: 38096746 DOI: 10.1016/j.injury.2023.111243] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Revised: 11/16/2023] [Accepted: 11/24/2023] [Indexed: 01/29/2024]
Abstract
OBJECTIVES Fractures pose serious health and socioeconomic consequences for individuals, their families, and societies more broadly. In many low-resource settings, case fatality and long-term sequelae after a fracture remain high due to individual- and system-level barriers affecting timely access to care. This scoping review explored the burden of fractures in Malawi using long bone fracture (LBF) as a case study by examining the epidemiology of these injuries, their consequences, and the accessibility of quality healthcare. Our aim is to not only describe the scale of the issue but to identify specific interventions that can help address the challenges faced in settings with limited resources and healthcare budgets. METHODS A scoping review methodology was adopted with a narrative synthesis of results. We searched five databases to identify relevant literature and applied the "Three Delays" model and the WHO's Building Blocks Framework to analyse findings on the accessibility of fracture care. RESULTS Fractures most often occurred among young males, with falls being the leading cause, constituting between 5 and 35 % of the total burden of injuries. Fractures were typically managed without surgery despite consistent local evidence showing surgical treatment was superior to conservative management in terms of length of hospital stay and bone healing. Poor functional, economic, and social outcomes were noted in fracture patients, especially after conservative treatment. A lack of trust in the health system, financial barriers, poor transport, and road infrastructure, and interfacility transfers were identified as barriers to care-seeking. Factors challenging the provision of appropriate care included governance issues, poor health infrastructure, financial constraints, and shortage of supplies and human resources. CONCLUSIONS To the best of our knowledge, this review represents the first comprehensive examination of the state of LBF and the health system's response in Malawi. The findings underscore the pressing need for a national trauma registry to accurately determine the actual burden of injuries and support a tailored approach to fracture care in Malawi. It is further evident that the health system in Malawi must be strengthen across all six building blocks to address obstacles to equitable access to high-quality fracture care.
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Affiliation(s)
- Shazra Abbas
- Nossal Institute for Global Health, Melbourne School of Population and Global Health, University of Melbourne, Australia.
| | - Linda Chokotho
- Malawi University of Science and Technology, Mikolongwe, Malawi
| | | | - Victoria L Oliver
- Nossal Institute for Global Health, Melbourne School of Population and Global Health, University of Melbourne, Australia
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Du WQ, Zhong X, Jiang RQ, Zong ZW, Jia YJ, Ye Z, Zhou XL. Animal model-based simulation training for three emergent and urgent operations of penetrating thoracic injuries. Chin J Traumatol 2023; 26:41-47. [PMID: 36008213 PMCID: PMC9912295 DOI: 10.1016/j.cjtee.2022.07.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Revised: 05/31/2022] [Accepted: 06/30/2022] [Indexed: 02/04/2023] Open
Abstract
PURPOSE To develop animal models of penetrating thoracic injuries and to observe the effects of the animal model-based training on improving the trainees' performance for emergent and urgent thoracic surgeries. METHODS With a homemade machine, animal models of lung injuries and penetrating heart injuries were produced in porcine and used for training of chest tube drainage, urgent sternotomy, and emergent thoracotomy. Coefficient of variation of abbreviated injury scale and blood loss was calculated to judge the reproducibility of animal models. Five operation teams from basic-level hospitals (group A) and five operation teams from level III hospitals (group B) were included to be trained and tested. Testing standards for the operations were established after thorough literature review, and expert questionnaires were employed to evaluate the scientificity and feasibility of the testing standards. Tests were carried out after the training. Pre- and post-training performances were compared. Post-training survey using 7-point Likert scale was taken to evaluate the feelings of the trainees to these training approaches. RESULTS Animal models of the three kinds of penetrating chest injuries were successfully established and the coefficient of variation of abbreviated injury scale and blood loss were all less than 25%. After literature review, testing standards were established, and expert questionnaire results showed that the scientific score was 7.30 ± 1.49, and the feasibility score was 7.50 ± 0.89. Post-training performance was significantly higher in both group A and group B than pre-training performance. Post-training survey showed that all the trainees felt confident in applying the operations and were generally agreed that the training procedure were very helpful in improving operation skills for thoracic penetrating injury. CONCLUSIONS Animal model-based simulation training established in the current study could improve the trainees' performance for emergent and urgent thoracic surgeries, especially of the surgical teams from basic-level hospitals.
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Affiliation(s)
- Wen-Qiong Du
- State Key Laboratory of Trauma, Burn and Combined Injury, Department for Combat Casualty Care Training, Training Base for Army Health Care, Army Medical University, Chongqing, 400037, China
| | - Xin Zhong
- State Key Laboratory of Trauma, Burn and Combined Injury, Department for Combat Casualty Care Training, Training Base for Army Health Care & Department of Orthopedics, Xinqiao Hospital, Army Medical University, Chongqing, 400037, China
| | - Ren-Qing Jiang
- State Key Laboratory of Trauma, Burn and Combined Injury, Department for Combat Casualty Care Training, Training Base for Army Health Care, Army Medical University, Chongqing, 400037, China
| | - Zhao-Wen Zong
- State Key Laboratory of Trauma, Burn and Combined Injury, Department for Combat Casualty Care Training, Training Base for Army Health Care & Department of Orthopedics, Xinqiao Hospital, Army Medical University, Chongqing, 400037, China.
| | - Yi-Jun Jia
- State Key Laboratory of Trauma, Burn and Combined Injury, Department for Combat Casualty Care Training, Training Base for Army Health Care, Army Medical University, Chongqing, 400037, China
| | - Zhao Ye
- State Key Laboratory of Trauma, Burn and Combined Injury, Department for Combat Casualty Care Training, Training Base for Army Health Care, Army Medical University, Chongqing, 400037, China
| | - Xiao-Lin Zhou
- State Key Laboratory of Trauma, Burn and Combined Injury, Department for Combat Casualty Care Training, Training Base for Army Health Care, Army Medical University, Chongqing, 400037, China
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Manning Smith R, Cambiano V, Colbourn T, Collins JH, Graham M, Jewell B, Li Lin I, Mangal TD, Manthalu G, Mfutso-Bengo J, Mnjowe E, Mohan S, Ng'ambi W, Phillips AN, Revill P, She B, Sundet M, Tamuri A, Twea PD, Hallet TB. Estimating the health burden of road traffic injuries in Malawi using an individual-based model. Inj Epidemiol 2022; 9:21. [PMID: 35821170 PMCID: PMC9275162 DOI: 10.1186/s40621-022-00386-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Accepted: 06/30/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Road traffic injuries are a significant cause of death and disability globally. However, in some countries the exact health burden caused by road traffic injuries is unknown. In Malawi, there is no central reporting mechanism for road traffic injuries and so the exact extent of the health burden caused by road traffic injuries is hard to determine. A limited number of models predict the incidence of mortality due to road traffic injury in Malawi. These estimates vary greatly, owing to differences in assumptions, and so the health burden caused on the population by road traffic injuries remains unclear. METHODS We use an individual-based model and combine an epidemiological model of road traffic injuries with a health seeking behaviour and health system model. We provide a detailed representation of road traffic injuries in Malawi, from the onset of the injury through to the final health outcome. We also investigate the effects of an assumption made by other models that multiple injuries do not contribute to health burden caused by road accidents. RESULTS Our model estimates an overall average incidence of mortality between 23.5 and 29.8 per 100,000 person years due to road traffic injuries and an average of 180,000 to 225,000 disability-adjusted life years (DALYs) per year between 2010 and 2020 in an estimated average population size of 1,364,000 over the 10-year period. Our estimated incidence of mortality falls within the range of other estimates currently available for Malawi, whereas our estimated number of DALYs is greater than the only other estimate available for Malawi, the GBD estimate predicting and average of 126,200 DALYs per year over the same time period. Our estimates, which account for multiple injuries, predict a 22-58% increase in overall health burden compared to the model ran as a single injury model. CONCLUSIONS Road traffic injuries are difficult to model with conventional modelling methods, owing to the numerous types of injuries that occur. Using an individual-based model framework, we can provide a detailed representation of road traffic injuries. Our results indicate a higher health burden caused by road traffic injuries than previously estimated.
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Affiliation(s)
| | | | - Tim Colbourn
- University College London, Gower Street, London, WC1E 6BT, UK
| | | | - Matthew Graham
- University College London, Gower Street, London, WC1E 6BT, UK
| | - Britta Jewell
- Imperial College London, South Kensington Campus, London, SW7 2AZ, UK
| | - Ines Li Lin
- University College London, Gower Street, London, WC1E 6BT, UK
| | - Tara D Mangal
- Imperial College London, South Kensington Campus, London, SW7 2AZ, UK
| | - Gerald Manthalu
- Ministry of Health and Population, P.O. Box 30377, Lilongwe 3, Malawi
| | - Joseph Mfutso-Bengo
- Kamuzu University of Health Sciences, Mahatma Gandhi, 52X8+782, Blantyre, Malawi
| | | | | | | | | | | | - Bingling She
- Imperial College London, South Kensington Campus, London, SW7 2AZ, UK
| | - Mads Sundet
- REMEDY-Center for treatment of Rheumatic and Musculoskeletal Diseases, Diakonhjemmet Hospital, Oslo, Norway
| | - Asif Tamuri
- University College London, Gower Street, London, WC1E 6BT, UK
| | - Pakwanja D Twea
- Ministry of Health and Population, P.O. Box 30377, Lilongwe 3, Malawi
| | - Timothy B Hallet
- Imperial College London, South Kensington Campus, London, SW7 2AZ, UK
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