title: Visual Health Information Profile (VHIP). A quantitative approach for analysing the health status of a population.
abstract: A new approach for illustrating and analysing the health status of a given population is presented. The concept takes the multi-dimensional nature of health into account. It is based on a clearly out-lined indicator hierarchy, a decile reference system and a computerised information system. The instrument displays the health status of a population and allows comparisons to be made of various health aspects for a given population at different times and allows comparisons to be made of different populations during given time periods. It is possible to represent quantitative and qualitative aspects of health, to monitor the impact of interventions, and to assess the extent to which objectives in the health field have been achieved. Therefore, it can serve as an instrument for communication between policy makers and scientists to manage and to co-ordinate programs that aim at an improvement of the health status and to assist in the priority setting process. The method was applied to several countries using the World Health Organisation's (WHO) "Health For All Global Indicator Database" as the main data source. Country and region specific health status patterns could be generated showing the practicability of the approach. Using a computerised information system, a high degree of transparency and flexibility with respect to the input data and the choices of measurables was achieved.
authors.affiliation: Institute for Occupational and Social Medicine, University of Ulm, Germany. beyrer@faw.uni-ulm.de
authors.forename: K
authors.initials: K
authors.lastname: Beyrer
authors.forename: G W
authors.initials: GW
authors.lastname: Brauer
authors.forename: T M
authors.initials: TM
authors.lastname: Fliedner
authors.forename: C
authors.initials: C
authors.lastname: Greiner
authors.forename: U
authors.initials: U
authors.lastname: Reischl
mesh_terms: D003196:Computer Graphics; D003431:Cross-Cultural Comparison; D019992:Databases as Topic; D016208:Databases, Factual; D006301:Health Services Needs and Demand; D006305:Health Status Indicators; D006801:Humans; D007223:Infant; D007226:Infant Mortality; D008491:Medical Informatics Applications; D011159:Population Surveillance; D012985:Software Design