Dissertations & Theses (Open Access)

Date of Award

12-2019

Degree Name

Master of Public Health (MPH)

Advisor(s)

Folefac Atem

Second Advisor

Katelyn Jetelina

Third Advisor

Fiemu Nwariaku

Abstract

Data quality is a priority in public health because it is used for public health program planning and implementation, research, as well as policy. The information gleaned from the data allows us to assess health status, and improve health needs. This paper evaluated methods for cleaning, managing and addressing missing data in the Lagos State Ambulance Service registry. The techniques included screening, data organization, diagnostic phase, treatment phase and a missing data phase to holistically handle the data. The percentage of systemic errors was reduced through the use of the 5-step method. Missing data was informative for state of origin, local government areas, age, gender and the event of a road traffic accident. Variables that were tested for missingness included occupation information, systolic and diastolic blood pressure, respiratory rate, Glasgow Coma scores for eye, verbal and motor, and the outcome of the EMS call.

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