TYING DOWN THE INDICATORS AND TARGETS FOR HEALTH FOR ALL

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Abstract
Summary: The World Health Organisation strategy for Health For All by the Year 2000 has provided the framework for the Health Promotion strategy used in the Mersey Health Region, in the U.K.‘Health in Mersey — A Review’, provided a community diagnosis that brought together data from different sectors, compared the health of Mersey residents with that of the populations of England and Wales and made within‐Region comparisons between residents Of the lo Mersey Health Districts.The process of producing the community diagnosis for Mersey revealed the shortcomings of the available data‐base and information systems for Health Promotion. In particular it was clear that much routinely collected data of relevance to Health Promotion was currently not being made use of because it was collected by non‐health agencies. In addition the lack of useful local, as opposed to regional or national, data, especially in relation to lifestyles and risk factors, highlighted the necessity for new initiatives.A short‐life working party was convened to examine the information needs for Health Promotion in relation to the 12 Regional priorities.In examining the 12 Regional priorities from the point of view of five categories of Data, Health Services, Related Organisations, Special Survey, Analytically Derived and ‘Soft’ Descriptive, items could be further grouped depending on whether they are available now (AN), analysis is required to obtain them (AR) or whether development work is necessary to obtain them (DWR).Based on the outcome of the Working Party, appropriate summary indicators and targets have been suggested for each of the Regional Health Promotion priorities. The selection is based on the criteria used in the World Health Organisation Healthy Cities Project, namely that indicators and targets should as far as possible stimulate change, be readily available and relate to Health Promotion principles. They are intended to stimulate debate. The emphasis of the proposed data is on small area comparisons and the reduction in inequalities.

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