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sahr2001 - Health Systems Trust

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17 • <strong>Health</strong> and Related Indicators<br />

General Indicator-related definitions<br />

Proportion: The relation of a subgroup to the entire group; that is the subgroup<br />

divided by the entire group. Often proportions are actually expressed as<br />

percentages, by multiplying by 100.<br />

Rate: The frequency of events in a population during a specified time period<br />

(usually a year) divided by the population ‘at risk’ of the event occurring<br />

during that time period. Rates tell how common it is for a given event to<br />

occur. Rates are often expressed per 1000 population. Crude rates are<br />

computed for an entire population, while specific rates may be computed for<br />

subgroups such as certain age groups.<br />

Ratio: The relation of one population subgroup to the total population or to<br />

another subgroup; that is, one subgroup divided by another.<br />

Incidence: the number of new cases arising in a given period in a specified<br />

population.<br />

Prevalence: the number of cases in a defined population at a specified point<br />

in time.<br />

Demographic Indicators<br />

The primary source of in-country data is the Census. Although the population<br />

figures quoted in this section are derived from the 1996 Census, Statistics SA<br />

issues exponential growth and adjustment factors that allow for estimates<br />

for later years to be calculated. What must be borne in mind when using any<br />

population figures, is that they involve a high degree of uncertainty.<br />

In the face of such uncertainty, some might consider it prudent to make no<br />

projections at all, but, as Lutz et al argue: “in the face of the overwhelming<br />

humanitarian, social and economic challenges facing South Africa,<br />

(population) projections are more urgently needed for planning than in many<br />

countries having more accurate data and less discontinuous trends” [SA<br />

Uncertain Demographics]. a This section has drawn on a number of models<br />

that have sought to accommodate these uncertainties:<br />

◆ The StatsSA mid-year estimates from 2000 include scenarios that ignore<br />

the impact of HIV/AIDS (‘Without AIDS’) or attempt to take into<br />

account the additional deaths that might have occurred due to HIV/<br />

AIDS (‘With AIDS’). These estimates are based on the translation of<br />

the antenatal sero-prevalence data to ‘additional deaths due to HIV/<br />

AIDS’, using several assumptions outlined in the 2000 P0302 Statistical<br />

Release.<br />

◆ The Actuarial Society of South Africa (ASSA) has developed a series of<br />

models - this section has used outputs from the ASSA2000 model.<br />

a<br />

The full reference for short references given in square brackets are at the end of the<br />

chapter<br />

285

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