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Predictors of Quality of Life, Economic Impact, and Loss to Follow-up After Open Tibial Shaft Fractures in Ghana

Abstract

Objectives: Open tibia fractures are associated with substantial morbidity and impact on quality of life. Despite increasing incidence in low-resource settings, most open tibia fracture research comes from high-resource settings. This study aimed to assess the impact of socioeconomic status on treatment modality and evaluate predictors of health-related quality of life following open tibia fractures in Ghana.

Design: A single-center prospective observational study was conducted in Kumasi, Ghana, from May 2020 to April 2022. Adults with open tibial shaft fractures presenting within 2 weeks of injury were eligible. Demographics, comorbidities, socioeconomic factors, and hospital course were collected at enrollment. Follow-up was scheduled at 8, 12, 26, and 52 weeks. A telephone survey assessing reasons for loss to follow-up was initiated on enrollment completion.

Results: A total of 180 patients were enrolled. Most patients were employed before injury (79.9%), had government insurance (67.2%), and were from rural areas (59.4%). Fracture classification was primarily Gustilo-Anderson type 3A (49.1%). No relationship between socioeconomic predictors and treatment modality was identified. The largest barriers to follow-up were preference for bonesetter treatment (63.1%), treatment cost (48.8%), and travel cost (29.8%). Of the lost to follow-up patients contacted, 67 (79.8%) reported receiving traditional bonesetter care. Reasons for seeking traditional bonesetter care included ease of access (83.6%), lower cost (77.6%), and familial influence (50.7%).

Conclusion: No association was identified between socioeconomic predictors and choice of treatment. Bonesetter treatment plays a substantial role in the care of open tibia fractures in Ghana, largely because of ease of access and lower cost.

Citing Articles

Difficulty in financing fracture care in south-western Nigeria: a prospective cohort study of predictors and recommendations for improvement.

Adesina S, Amole I, Adegoke A, Akinwumi A, Adefokun I, Odekhiran E BMC Public Health. 2024; 24(1):3462.

PMID: 39696258 PMC: 11657175. DOI: 10.1186/s12889-024-20991-y.

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