2012
DOI: 10.1007/s00268-012-1726-6
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The Implementation of a Pilot Femur Fracture Registry at Komfo Anokye Teaching Hospital: An Analysis of Data Quality and Barriers to Collaborative Capacity‐Building

Abstract: 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.

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Cited by 14 publications
(12 citation statements)
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“…If blood levels were tested this figure may be higher. This figure indicates that very strict legislations are needed to prevent the alcohol use during driving (10,11). 18% of the accidents are related to animal crossing the road in our study.…”
Section: Open Accessmentioning
confidence: 65%
“…If blood levels were tested this figure may be higher. This figure indicates that very strict legislations are needed to prevent the alcohol use during driving (10,11). 18% of the accidents are related to animal crossing the road in our study.…”
Section: Open Accessmentioning
confidence: 65%
“…Furthermore, our study covered a 26-month time period and included patients who arrived throughout the day. In comparison, other trauma registries conducted in LMICs often limited enrolment to brief periods of time [17] , [19] , [23] or did not provide a clear methodological outline of their enrolment process [24] . While prospective studies are generally viewed as superior to retrospective studies, prospective data collection in LMICs typically involves the hiring of a research assistant who may only be available for certain hours of the day, thereby missing patients who arrive on weekends or overnight, or requires clinical staff to complete additional forms.…”
Section: Discussionmentioning
confidence: 99%
“…However, for data fields related to treatment and discharge, collection rates dropped substantially (<50%); data fields related to outcome were not collected at all despite being present on the form. 37 In another study that examined the descriptive statistics of patient data collected by the Ugandan Trauma Registry, the percentage of missing data was consistently higher for all diagnostic and outcome-related fields compared with demographic or injury event-related fields. 36 In one extreme instance for this trauma registry, the field "surgical procedure performed" was recorded less than 32% of the time.…”
Section: Challengesmentioning
confidence: 97%