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SAHR 2007 - Health Systems Trust

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Authors:<br />

Candy Day i<br />

Andy Gray ii<br />

15<br />

<strong>Health</strong> and Related<br />

Indicators<br />

Introduction<br />

The 1997 White Paper on the Transformation of the <strong>Health</strong><br />

System in South Africa [White paper 1997] envisaged a<br />

“National <strong>Health</strong> System”, which would “integrate the activities<br />

of the public and private health sectors, including NGOs<br />

and traditional healers, in a way which maximises the effectiveness<br />

and efficiency of all available health care resources”.<br />

This principle was reiterated in the section dealing with the<br />

planned District <strong>Health</strong> System. The plan was to establish<br />

a “district health system that facilitates health promotion,<br />

provides universal access to essential health care and allows<br />

for the rational planning and appropriate use of resources,<br />

including the optimal utilisation of the private health sector<br />

resources”. This year, the Review has focused on the private<br />

healthcare sector. Accordingly, this chapter has sought to<br />

gather the best available data on that sector, but also to<br />

highlight the extent to which available national health information<br />

systems include or exclude the contribution of the<br />

private sector. In most cases, systems for gathering healthrelated<br />

information from the private and public sectors are<br />

not integrated or even coordinated, making comparison<br />

across the sectors difficult.<br />

Having concrete international targets, in the form of the<br />

Millennium Development Goals (MDGs), has focused attention<br />

on the need to have robust estimates of disease burdens.<br />

In a series in the Lancet in <strong>2007</strong>, members of the World<br />

<strong>Health</strong> Organization’s <strong>Health</strong> Metrics Network outlined the<br />

challenges in this arena. Boerma and Stansfield [Lancet<br />

369(779-86)] highlighted four problems:<br />

1. how “the emphasis on monitoring and evaluation is<br />

leading to proliferation of indicators and excessive<br />

reporting requirements”;<br />

2. that “the risk of inadequate or poorly targeted investments<br />

can be kept to a minimum by understanding the<br />

causes of poor availability of health statistics, including<br />

lack of accurate measurement instruments, application<br />

of suboptimum methods of data collection, and<br />

inadequate use of methods and analyses to produce<br />

comparable estimates”;<br />

3. how “the preoccupation with MDGs does not take into<br />

account the rapid health transition, which implies that<br />

health statistics should systematically include a much<br />

wider array of health issues from acute infectious<br />

diseases to chronic non-communicable diseases and<br />

injuries, disaggregated by socioeconomic position”;<br />

and<br />

4. how “the growing number of national household<br />

surveys, which are the main source of most population<br />

health statistics, need to be streamlined into<br />

cohesive and comprehensive country health survey<br />

programmes”.<br />

They also provided a very useful table of data sources, their<br />

strengths and limitations, as well as global trends. This table,<br />

reproduced below, shows clearly how the private sector<br />

is commonly excluded from certain key data collection<br />

methods (emphasis added).<br />

i<br />

<strong>Health</strong> <strong>Systems</strong> <strong>Trust</strong><br />

ii Department of Therapeutics and Medicines Management, University of KwaZulu-Natal<br />

215

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