ABSTRACT
Malaria remains a major cause of morbidity and mortality, leading to more than 600
million cases and two million deaths each year worldwide. Over 90% of these cases
occur in sub-Saharan Africa where Falciparum Malaria is pervasive and the major
killer of children below five (5) years old. This study was conducted through
modelling the length of stay using some variables from hospital register for
inpatients with Malaria.
The results showed that the hospital length of stay per day at St. Francis referral
hospital was influenced by predictors that are, lab-turnaround time (TAT), actual
treatment, season when the patient was admitted, patient diagnostic status, severity,
distance and age, which were statistically significant at α = 0.01(1%) and 0.05(5%)
with their p-values 0.001(1%), 0.008(5%), 0.013(5%), 0.005(1%), 0.000(1%),
0.000(1%), 0.000(1%) respectively. However, the variable patient outcome on
admission was insignificant with p-value 0.107. Also, the findings from Logistic
Regression indicate that the predictors distance, duration of stay in hospital (LOS),
age, Referral status, sex, patient diagnostic status and season when the patient was
admitted; were statistically significant at 1% and 5% with their p-value 0.004 (5%),
0.035 (5%), 0.005 (5%), 0.007 (5%), 0.043 (5%) and 0.039 (5%) odds ratios
(1.124,1.023,0.867,0.036,1.455,1.065 and 0.170) respectively were independent risk
factors for severe malaria among inpatient at St. Francis referral hospital. Clinical
laboratory turnaround time performance was insufficient, since five months out of
six months the process was incapable, but the process was capable only for one
month with the p c and k Cp of 1.58 and 1.29 respectively.
NDIMBWELU, K (2021). Modelling Of Malaria Inpatients Length Of Stay At St. Francis Refferal Hospital Morogoro Region Tanzania. Afribary. Retrieved from https://afribary.com/works/modelling-of-malaria-inpatients-length-of-stay-at-st-francis-refferal-hospital-morogoro-region-tanzania
NDIMBWELU, KILEMA "Modelling Of Malaria Inpatients Length Of Stay At St. Francis Refferal Hospital Morogoro Region Tanzania" Afribary. Afribary, 26 Apr. 2021, https://afribary.com/works/modelling-of-malaria-inpatients-length-of-stay-at-st-francis-refferal-hospital-morogoro-region-tanzania. Accessed 22 Nov. 2024.
NDIMBWELU, KILEMA . "Modelling Of Malaria Inpatients Length Of Stay At St. Francis Refferal Hospital Morogoro Region Tanzania". Afribary, Afribary, 26 Apr. 2021. Web. 22 Nov. 2024. < https://afribary.com/works/modelling-of-malaria-inpatients-length-of-stay-at-st-francis-refferal-hospital-morogoro-region-tanzania >.
NDIMBWELU, KILEMA . "Modelling Of Malaria Inpatients Length Of Stay At St. Francis Refferal Hospital Morogoro Region Tanzania" Afribary (2021). Accessed November 22, 2024. https://afribary.com/works/modelling-of-malaria-inpatients-length-of-stay-at-st-francis-refferal-hospital-morogoro-region-tanzania