The implementation of a pilot femur fracture registry at Komfo Anokye Teaching Hospital: an analysis of data quality and barriers to collaborative capacity-building
| Autor: | Jesse Alan Slade Shantz, Daniel B. Sonshine, Richard A. Gosselin, R. Richard Coughlin, Raphael Kumah-Ametepey |
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| Rok vydání: | 2012 |
| Předmět: |
Program evaluation
Adult Male medicine.medical_specialty Capacity Building Adolescent Databases Factual Quality Assurance Health Care media_common.quotation_subject Pilot Projects Injury surveillance Ghana Teaching hospital Young Adult Patient Admission Medicine Humans Quality (business) Registries Cooperative Behavior Child Hospitals Teaching Developing Countries media_common Aged Aged 80 and over Femur fracture business.industry Capacity building Infant Length of Stay Middle Aged medicine.disease Data quality Child Preschool Emergency medicine Musculoskeletal injury Surgery Female Medical emergency business Femoral Fractures Follow-Up Studies Program Evaluation |
| Zdroj: | World journal of surgery. 37(7) |
| ISSN: | 1432-2323 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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