| Literature DB >> 35434446 |
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Abstract
In low and middle-income countries (LMICs), individuals suffer from a disproportionately higher number of musculoskeletal (MSK) injuries compared with those living in a high-income setting. However, despite the higher burden of death and disability from MSK injuries in LMICs, there has been little policy, research, and funding invested in addressing this distinctly overlooked problem. Using a consensus-based approach, the aim of this study was to identify research priorities for clinical trials and research in MSK trauma care across sub-Saharan Africa.Entities:
Year: 2022 PMID: 35434446 PMCID: PMC9007213 DOI: 10.2106/JBJS.OA.21.00043
Source DB: PubMed Journal: JB JS Open Access ISSN: 2472-7245
Fig. 1Summary of the modified Delphi process.
Fig. 2Summary of results from the Delphi process.
Summary of the Demographics from Phase 1A Respondents*
| Country (N = 29) | Total | Job Role (N = 10) | Total | Subspecialty (N = 14) | Total | Sector (N = 6) | Total |
|---|---|---|---|---|---|---|---|
| Malawi | 19 | T&O consultant | 87 | General | 71 | Government | 77 |
| Ghana | 15 | Registrar/resident | 16 | Trauma | 27 | Government and private | 35 |
| Ethiopia | 14 | T&O fellow | 8 | Pediatrics | 14 | Mission/faith based | 13 |
| Cameroon | 8 | T&O clinical officer | 6 | Arthroplasty | 5 | Private | 5 |
| Togo | 8 | Medical officer | 4 | Knee | 3 | NGO | 1 |
| Zimbabwe | 8 | Junior T&O surgeon | 3 | Spine | 2 | OOCP | 1 |
| Kenya | 7 | Nurse | 3 | Limb reconstruction | 2 | ||
| Nigeria | 7 | Consultant general surgeon | 2 | Soft tissue (knee/sports) | 2 | ||
| Gambia | 6 | T&O technologist | 2 | Arthroplasty/sports | 1 | ||
| Ivory Coast | 4 | Did not specify | 1 | Foot and ankle | 1 | ||
| Rwanda | 4 | General surgery | 1 | ||||
| Tanzania | 4 | Hands | 1 | ||||
| Guinea | 3 | Orthopaedics | 1 | ||||
| DRC | 3 | Shoulder and elbow | 1 | ||||
| Uganda | 3 | ||||||
| Zambia | 3 | ||||||
| Chad | 2 | ||||||
| Mozambique | 2 | ||||||
| Sierra Leone | 2 | ||||||
| CAR | 1 | ||||||
| Gabon | 1 | ||||||
| Liberia | 1 | ||||||
| Mauritius | 1 | ||||||
| Namibia | 1 | ||||||
| Niger | 1 | ||||||
| Senegal | 1 | ||||||
| South Africa | 1 | ||||||
| South Sudan | 1 | ||||||
| Sudan | 1 | ||||||
| Total | 132 | 132 | 132 | 132 |
T&O = trauma & orthopaedics, DRC = Democratic Republic of the Congo, CAR = Central African Republic, NGO = nongovernmental organization, and OOCP = out of clinical practice.
Summary of the Demographics from Phase 2A Respondents*
| Country (N = 33) | Total | Job Role (N = 18) | Total | Subspecialty (N = 13) | Total | Sector (N = 7) | Total |
|---|---|---|---|---|---|---|---|
| Tanzania | 26 | T&O consultant | 76 | General | 77 | Government | 168 |
| Ethiopia | 23 | Registrar/resident | 53 | Trauma | 41 | Government and private | 20 |
| Malawi | 23 | General surgeon | 25 | General trauma | 26 | Private | 19 |
| Cameroon | 14 | Non-clinician | 14 | Not specified | 20 | Mission/faith-based | 16 |
| Nigeria | 12 | T&O fellow | 14 | General surgery | 17 | Academic | 1 |
| South Africa | 11 | General practitioners | 11 | Arthroplasty | 13 | Medical student | 1 |
| Togo | 11 | T&O doctor not in training | 7 | Pediatrics | 9 | NGO | 1 |
| Burundi | 10 | T&O surgical assistant | 6 | Soft tissue (knee/sports) | 8 | ||
| Ghana | 10 | Nurse | 4 | Limb reconstruction | 6 | ||
| Kenya | 10 | Consultant general surgeon | 4 | Hands | 3 | ||
| Gambia | 8 | Intern/house officer | 3 | Foot and ankle | 2 | ||
| Rwanda | 7 | Physiotherapist | 2 | Oncology | 2 | ||
| Zimbabwe | 7 | Nurse assistant | 2 | Spine | 2 | ||
| Benin | 6 | Anesthetist | 1 | ||||
| Ivory Coast | 6 | Assistant medical technician | 1 | ||||
| Zambia | 6 | General surgical assistant | 1 | ||||
| Gabon | 5 | Neurosurgeon | 1 | ||||
| Mozambique | 4 | T&O clinical officer | 1 | ||||
| DRC | 4 | ||||||
| Chad | 3 | ||||||
| Senegal | 3 | ||||||
| South Sudan | 3 | ||||||
| Burkina Faso | 2 | ||||||
| CAR | 2 | ||||||
| Guinea | 2 | ||||||
| Botswana | 1 | ||||||
| Libya | 1 | ||||||
| Mauritius | 1 | ||||||
| Namibia | 1 | ||||||
| Niger | 1 | ||||||
| Sierra Leone | 1 | ||||||
| Sudan | 1 | ||||||
| Uganda | 1 | ||||||
| Total | 226 | 226 | 226 | 226 |
Non-clinician = clinical officer, nurse practitioner, or bone setter; T&O = trauma & orthopaedics; DRC = Democratic Republic of the Congo; CAR = Central African Republic; and NGO = nongovernmental organization.
Summary of the Demographics from Phase 2B Respondents*
| Country (N = 30) | Total | Job Role (N = 18) | Total | Subspecialty (N = 12) | Total | Sector (N = 11) | Total |
|---|---|---|---|---|---|---|---|
| Ethiopia | 37 | T&O consultant | 140 | General | 143 | Government | 213 |
| Malawi | 34 | Registrar/resident | 71 | Trauma | 57 | Private and government | 42 |
| South Africa | 28 | Non-clinician | 28 | General trauma | 31 | Mission/faith-based | 24 |
| Nigeria | 21 | T&O fellow | 16 | Arthroplasty | 18 | Private | 20 |
| Ghana | 20 | T&O doctor not in training | 15 | General surgery | 18 | NGO | 3 |
| Kenya | 17 | General practitioner | 12 | Pediatrics | 15 | Para-public | 3 |
| Rwanda | 16 | Nurse | 9 | Limb reconstruction | 9 | Academic | 2 |
| Gambia | 14 | Intern/house officer | 6 | Soft tissue (knee/sports) | 8 | Other | 1 |
| Tanzania | 13 | Medical assistant | 2 | Foot and ankle | 4 | Foundation | 1 |
| Zimbabwe | 12 | T&O technician | 2 | Spine | 4 | Student | 1 |
| Libya | 10 | Physiotherapist | 2 | Hands | 3 | University | 1 |
| Togo | 10 | Consultant general surgeon | 2 | Shoulder and elbow | 1 | ||
| Zambia | 10 | Anesthesia technician | 1 | ||||
| Cameroon | 9 | O&G doctor | 1 | ||||
| Burundi | 8 | Neurosurgeon | 1 | ||||
| Burkina Faso | 6 | Researcher (non-clinical) | 1 | ||||
| Mozambique | 6 | Plastic surgeon | 1 | ||||
| Uganda | 6 | Public health officer | 1 | ||||
| DRC | 5 | ||||||
| Ivory Coast | 5 | ||||||
| Gabon | 5 | ||||||
| Benin | 4 | ||||||
| Guinea | 4 | ||||||
| South Sudan | 4 | ||||||
| Chad | 2 | ||||||
| Botswana | 1 | ||||||
| Niger | 1 | ||||||
| Senegal | 1 | ||||||
| Sierra Leone | 1 | ||||||
| Sudan | 1 | ||||||
| Total | 311 | 311 | 311 | 311 |
Non-clinician = clinical officer, nurse practitioner, or bone setter; T&O = trauma & orthopaedics; DRC = Democratic Republic of the Congo; O&G = obstetrics & gynecology; and NGO = nongovernmental organization.
Top 10 Priority Research Questions Focused on Clinical Effectiveness in Trauma Care
| Mean Score | Clinical Effectiveness in Musculoskeletal/Orthopaedic Trauma Care |
|---|---|
| 4.34 | Is surgical fixation more clinically and cost effective than nonoperative care in the management of femur shaft fractures in a resource limited setting? |
| 4.27 | What is the most appropriate treatment in a resource limited setting of the delayed presentation of the sequelae of childhood chronic osteomyelitis/septic arthritis of the hip? |
| 4.23 | What is the clinical and cost-effectiveness of training patients and/or caregivers in physiotherapy/rehabilitation protocols following traumatic injuries compared with no physiotherapy/rehabilitation? |
| 4.03 | Does an urgent surgical debridement decrease the infection rate in low velocity gunshot fractures compare with treating these fractures as closed fractures? |
| 3.98 | What is the clinical outcome of internal fixation versus external fixation for the definitive treatment of delayed presentation of open tibia fractures? |
| 3.97 | Following an open tibia fracture where no plastic surgery support is available, is vacuum-assisted wound therapy more clinically and cost-effective than simple dressing in definitive wound management with soft tissue loss? |
| 3.96 | What is the clinical and cost-effectiveness of amputation versus bone transport using an external fixator for the management of significant bone loss in the tibia in a resource-limited setting? |
| 3.95 | What is the clinical and cost-effectiveness of internal fixation versus primary fusion for the management of delayed (>2 months) presentation of unstable ankle fractures? |
| 3.94 | What is the clinical and cost-effectiveness of surgical fixation versus nonoperative care for the treatment of pelvic ring and acetabular injuries? |
| 3.87 | Is hemiarthroplasty/total hip replacement more clinically and cost-effective than nonoperative care in the management of intracapsular neck of femur fractures in elderly (>60 years) patients in a low-income setting? |
Top 10 Priority Research Questions Focused on Public Health and Trauma Care
| Mean Rank | Musculoskeletal/Orthopaedic Public Health Care |
|---|---|
| 4.53 | Do orthopaedic education and teaching courses improve orthopaedic care in a resource limited setting? |
| 4.51 | Which organisms are predominant causes of orthopaedic infections in sub-Saharan Africa and what antibiotics are best used to treat them? |
| 4.48 | What is the socioeconomical impact to the patient and health care system of a chronic osteomyelitis and its sequelae in Africa? |
| 4.44 | What are the most cost-effective preventative strategies to reduce avoidable mortality and morbidity from road traffic accidents in a low-income country? |
| 4.40 | What is the social economic cost to the patient and health care system of trauma in Africa? |
| 4.38 | What are the most common causes of orthopaedic trauma in Africa and are these preventable? |
| 3.93 | What are the prevalence and economic cost of hand injuries in Africa? |
| 3.92 | In Africa, what are the incidence and prevalence of venous thromboembolism and pulmonary embolism in adult orthopaedic patients who have lower limb trauma? |
| 3.83 | What is the ideal ratio of orthopaedic surgeons per head of population to manage the burden of trauma in low- and middle-income countries? |
| 3.74 | Can current functional and patient recorded outcome measures be translated into a low- or middle-income setting? |