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South African Psychiatry - February 2019

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FEATURE<br />

FOR 2016, STATISTICS SOUTH AFRICA<br />

FOUND MENTAL ILLNESS TO ACCOUNT<br />

FOR 0.5% OF DEATHS, 8 USING THE ICD-10<br />

DEFINITION OF UNDERLYING CAUSE OF<br />

DEATH AS ‘THE DISEASE OR INJURY THAT<br />

INITIATED THE SEQUENCE OF EVENTS<br />

LEADING DIRECTLY TO DEATH’ OR ‘THE<br />

CIRCUMSTANCES OF THE ACCIDENT OR<br />

VIOLENCE THAT PRODUCED THE FATAL<br />

INJURY’.<br />

However, in their meta-analysis on mortality among<br />

people with mental illness, Walker et al, 9 calculated<br />

a pooled relative risk of 2.22 (95% CI, 2.12–2.33)<br />

compared to the general population, with a median<br />

of 10 years of potential life lost. Two-thirds of deaths<br />

were due to natural causes, mainly cardiopulmonary<br />

disease; 17.5% were of unnatural cause and the<br />

remainder were unknown. They estimated that<br />

mental illness could account for 14.3% of the global<br />

burden of disease through higher rates of premature<br />

mortality.<br />

MORTALITY STATISTICS<br />

IT WAS THE DEATH OF 36 PEOPLE WHICH<br />

CAUSED THE INVESTIGATION INTO LIFE<br />

ESIDIMENI. WHEN THE OMBUD RELEASED<br />

HIS REPORT, 94 PEOPLE HAD DIED. A FEW<br />

MONTHS LATER, THE MEDIA REPORTED<br />

OVER 140 DEATHS. ALL THESE FIGURES<br />

ARE MEANINGLESS WITHOUT CONTEXT<br />

(THE HUMAN RIGHT TO DIGNITY) AND<br />

WITHOUT COMPARISON TO THE NUMBER<br />

OF DEATHS EXPECTED (THE HUMAN<br />

RIGHT TO LIFE).<br />

Most mortality analyses among people with mental<br />

illness are cohort studies where a group of people<br />

are followed over at least one year, with comparison<br />

of the cohort death rate to that of the general<br />

population.<br />

CRUDE DEATH RATE<br />

The crude death rate is calculated as the number of<br />

deaths for a given year per 1000 people. 10<br />

IN 2016, THE CRUDE DEATH RATE FOR<br />

SOUTH AFRICA WAS 10/ 1000 PEOPLE, 11<br />

TWO POINTS HIGHER THAN THE WORLD<br />

CRUDE DEATH RATE OF 8/ 1000 PEOPLE.<br />

Other countries with a crude death rate of 10/ 1000 in<br />

2016 include Belgium, Finland, Italy, Poland, Slovenia,<br />

the Democratic Republic of the Congo, Cameroon<br />

and Mozambique. At 9/ 1000 people, the crude<br />

death rate of high-income countries was greater<br />

than that of LMICs, which stood at 7/ 1000 people<br />

for 2016. Context is necessary to give meaning to the<br />

crude death rate. For example, a country with a low<br />

birth rate and aging population may have a higher<br />

crude death rate than a low-income country with a<br />

high infant and child mortality rate but a growing,<br />

predominantly young population.<br />

AGE-ADJUSTED DEATH RATE AND<br />

STANDARDISED MORTALITY RATIO<br />

A life-table provides the death rate of the general<br />

population in age categories for a period of time<br />

(usually a calendar year). The age-adjusted death<br />

rate reflects the number of deaths that would have<br />

occurred if the general population had of died at the<br />

same rate as the study population within the same<br />

age categories and over the same time period. The<br />

Standardised Mortality Ratio (SMR) is the ratio of the<br />

observed deaths in the study population in each<br />

age group to the deaths (the expected deaths) in<br />

the general population in the same age group and<br />

over the same time period. Thus, in Life Esidimeni, the<br />

overall SMR was found to be highly significant at 4.9<br />

(95% confidence interval 3.92 - 5.80). 12<br />

THIS MEANS THAT, OVERALL THERE WERE<br />

ALMOST 5 MORE OBSERVED DEATHS<br />

THAN WHAT WAS EXPECTED FOR EACH<br />

AGE GROUP.<br />

However, for those over the age of 80 years, although<br />

observed deaths were more than double the<br />

expected deaths, this was not significant (SMR 2.3:<br />

95% confidence interval 0.32 - 4.28).<br />

In essence, the emergence of measures to more<br />

accurately quantify the impact of illness on affected<br />

individuals has led to a more comprehensive<br />

understanding of burden of disease.<br />

REFERENCES<br />

1. World Health Organisation. WHO methods and<br />

data sources for global burden of disease<br />

estimates 2000-2015 Geneva: WHO; 2017 [cited<br />

2018 20 September]. Available from: http://www.<br />

who.int/healthinfo/global_burden_disease/<br />

GlobalDALYmethods_2000_2015.pdf.<br />

2. Whiteford HA, Degenhardt L, Rehm J, Baxter AJ,<br />

Ferrari AJ, Erskine HE, et al. Global burden of<br />

disease attributable to mental and substance<br />

use disorders: findings from the Global Burden of<br />

Disease Study 2010. Lancet. 2013;382(9904):1575-<br />

86.10.1016/S0140-6736(13)61611-6<br />

3. GBD 2015 DALYs and Hale Collaborators. Global,<br />

regional, and national disability-adjusted life-years<br />

(DALYs) for 315 diseases and injuries and healthy<br />

life expectancy (HALE), 1990-2015: a systematic<br />

analysis for the Global Burden of Disease Study<br />

2015. Lancet. 2016;388(10053):1603-58.10.1016/<br />

S0140-6736(16)31460-X<br />

4. Robertson LJ, Szabo CP. Implementing<br />

Community Care in Large Cities and Informal<br />

Settlements: An <strong>African</strong> Perspective. In: Okkels N,<br />

12 * SOUTH AFRICAN PSYCHIATRY ISSUE 18 <strong>2019</strong>

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