World Journal of Surgery

, Volume 37, Issue 7, pp 1506–1512 | Cite as

The Implementation of a Pilot Femur Fracture Registry at Komfo Anokye Teaching Hospital: An Analysis of Data Quality and Barriers to Collaborative Capacity-Building

  • Daniel B. SonshineEmail author
  • Jesse Shantz
  • Raphael Kumah-Ametepey
  • R. Richard Coughlin
  • Richard A. Gosselin



Trauma registries are essential for injury surveillance and recognition of the burden of musculoskeletal injury in low- and middle-income countries (LMICs). The purpose of this study was to pilot a femur fracture registry at Komfo Anokye Teaching Hospital (KATH) to assess data quality and determine the barriers to research partnering in LMICs.


All patients admitted to KATH with a fracture of the femur, or Arbeitsgemeinschaft für Osteosynthesefragen (AO) class 31, 32, 33, were entered into a locally designed, electronic femur fracture database. Patients’ characteristics and data quality were assessed by using descriptive statistics. Orthopedic trauma research barriers and opportunities were identified from key informants at the research site and supporting site.


Ninety-six femur fracture patients were enrolled into the registry over a 5-week period. The majority of patients resided in the Ashanti region surrounding the hospital (78 %). Most participants were involved in a road traffic crash (58 %) and physiologically stable with a Cape Triage Score of yellow upon admission (84 %). AO class 32 femur fractures represented the majority of femur fractures (78 %). Median times from injury to admission, admission to surgery, and surgery to discharge were 0, 5, and 10 days, respectively. Data quality analysis showed that data collected at admission had higher rates of completion in the database relative to data collected at various follow-up time points.


Data and data quality analyses highlighted characteristics of femur fracture patients presenting to KATH as well as the technological, administrative support, and hospital systems-based challenges of longitudinal data collection in LMICs.


Femur Fracture Orthopedic Trauma Musculoskeletal Injury Trauma Registry Injury Surveillance 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



The authors thank the IGOT team, including Felicia Agbenorwu and Eric Anyimadu, for their help coordinating the study and collecting data at KATH as well as Peter Trafton, MD, for his study design guidance.


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Copyright information

© Société Internationale de Chirurgie 2012

Authors and Affiliations

  • Daniel B. Sonshine
    • 1
    • 2
    • 3
    Email author
  • Jesse Shantz
    • 1
    • 2
    • 3
  • Raphael Kumah-Ametepey
    • 3
    • 4
  • R. Richard Coughlin
    • 2
    • 3
  • Richard A. Gosselin
    • 2
    • 3
    • 5
  1. 1.Orthopaedic SurgeryUniversity of California, San FranciscoSan FranciscoUSA
  2. 2.Orthopaedic SurgeryOrthopaedic Trauma InstituteSan FranciscoUSA
  3. 3.Orthopaedic SurgeryInstitute for Global Orthopaedics and TraumatologySan FranciscoUSA
  4. 4.Accident and Emergency Directorate, Trauma and Orthopaedic Surgery, Komfo Anokye Teaching HospitalKumasiGhana
  5. 5.School of Public Health, University of California, BerkeleyBerkeleyUSA

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