Modeling Severity of Tuberculosis as a Multiple Cause of Death in South Africa

Ntonghanwah Forcheh, Keamogetse Setlhare, Alphonse K. A. Amey

Department of Applied Sciences, BIUST, Palapye, Botswana.
Department of Statistics, University of Botswana, Gaborone, Botswana.

DOI: 10.4236/jtr.2014.21003                

Abstract

The multiple cause of death (MCOD) analysis is used to account for the full contribution of TB as a cause of death to South African mortality in 2008 that were coded using ICD10. Following a review of MCOD methods, a sufficient set of variables for use in MCOD and a new method of quantifying the severity of each cause of death are proposed. The results show that a total of 86,818 (14.3% of all deaths) were TB related, and within all deaths due to natural underlying causes, 86,373 (16.1%) were TB related. Furthermore, 42,581 (7.9%) were due to TB only, 6.0% had TB as an underlying cause along with other contributory causes and 2.0% had TB as a contributory cause. TB was mentioned as the underlying cause of death in 74,863 certificates or 13.9% of deaths due to natural underlying causes. Further analysis using multinomial baseline logit models, reveals that the relative odds of death in any demographic group compared with death in the baseline categories depend on the severity level of TB considered. It is proposed that the severity measure should be adopted when studying the contribution of all main causes of death to total mortality.

Keywords

Contributory Cause of Death; Multinomial Logit Baseline Model; South African MCOD

Conflicts of Interest

The authors declare no conflicts of interest.

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