The efficacy of prognostic risk factors in classifying malaria patients using discriminant analysis: a case study of Sanyati hospital

Malaria is endemic in Sanyati, accounting to approximately 3000 patients both outpatient attendance and admissions diagnosed of the disease yearly and 15% of all hospital deaths. The research analyzed the efficacy of prognostic risk factors in classifying malaria patients into low and high risk grou...

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Main Author: Mazibisa, Kudakwashe
Language:English
Published: Midlands State University 2018
Subjects:
Online Access:http://hdl.handle.net/11408/3239
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author Mazibisa, Kudakwashe
author_facet Mazibisa, Kudakwashe
author_sort Mazibisa, Kudakwashe
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description Malaria is endemic in Sanyati, accounting to approximately 3000 patients both outpatient attendance and admissions diagnosed of the disease yearly and 15% of all hospital deaths. The research analyzed the efficacy of prognostic risk factors in classifying malaria patients into low and high risk groups using discriminant analysis: a case study of Sanyati Baptist Hospital. Secondary data was extracted from the inpatient morbidity and mortality register available in the information department from 1st of January 2013 to 31st December 2015. The results showed that prognostic factors that are age, distance, referral status, disease comorbidity were important predictors of malaria mortality and patient survival. However, it was found that the prognostics risk factors; gender, site of residence and number of reported symptoms were not good predictors of predicting whether a patient is in the high or low risk class. It was recommended, among other things that the hospital executives should implement the patient classification system to reduce malaria related deaths through effective distribution of scarcity drugs and doctors at Sanyati Baptist Hospital.
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spelling ir-11408-32392022-06-27T13:49:05Z The efficacy of prognostic risk factors in classifying malaria patients using discriminant analysis: a case study of Sanyati hospital Mazibisa, Kudakwashe Malaria Malaria patients Prognostic risk Malaria is endemic in Sanyati, accounting to approximately 3000 patients both outpatient attendance and admissions diagnosed of the disease yearly and 15% of all hospital deaths. The research analyzed the efficacy of prognostic risk factors in classifying malaria patients into low and high risk groups using discriminant analysis: a case study of Sanyati Baptist Hospital. Secondary data was extracted from the inpatient morbidity and mortality register available in the information department from 1st of January 2013 to 31st December 2015. The results showed that prognostic factors that are age, distance, referral status, disease comorbidity were important predictors of malaria mortality and patient survival. However, it was found that the prognostics risk factors; gender, site of residence and number of reported symptoms were not good predictors of predicting whether a patient is in the high or low risk class. It was recommended, among other things that the hospital executives should implement the patient classification system to reduce malaria related deaths through effective distribution of scarcity drugs and doctors at Sanyati Baptist Hospital. 2018-10-04T13:40:19Z 2018-10-04T13:40:19Z 2017 http://hdl.handle.net/11408/3239 en open Midlands State University
spellingShingle Malaria
Malaria patients
Prognostic risk
Mazibisa, Kudakwashe
The efficacy of prognostic risk factors in classifying malaria patients using discriminant analysis: a case study of Sanyati hospital
title The efficacy of prognostic risk factors in classifying malaria patients using discriminant analysis: a case study of Sanyati hospital
title_full The efficacy of prognostic risk factors in classifying malaria patients using discriminant analysis: a case study of Sanyati hospital
title_fullStr The efficacy of prognostic risk factors in classifying malaria patients using discriminant analysis: a case study of Sanyati hospital
title_full_unstemmed The efficacy of prognostic risk factors in classifying malaria patients using discriminant analysis: a case study of Sanyati hospital
title_short The efficacy of prognostic risk factors in classifying malaria patients using discriminant analysis: a case study of Sanyati hospital
title_sort efficacy of prognostic risk factors in classifying malaria patients using discriminant analysis: a case study of sanyati hospital
topic Malaria
Malaria patients
Prognostic risk
url http://hdl.handle.net/11408/3239
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