TARPARE: A method for selecting target audiences for public health interventions

Citation
Rj. Donovan et al., TARPARE: A method for selecting target audiences for public health interventions, AUS NZ J PU, 23(3), 1999, pp. 280-284
Citations number
29
Categorie Soggetti
Public Health & Health Care Science
Journal title
AUSTRALIAN AND NEW ZEALAND JOURNAL OF PUBLIC HEALTH
ISSN journal
13260200 → ACNP
Volume
23
Issue
3
Year of publication
1999
Pages
280 - 284
Database
ISI
SICI code
1326-0200(199906)23:3<280:TAMFST>2.0.ZU;2-5
Abstract
Objective: This paper presents a model to assist the health promotion pract itioner systematically compare and select what might be appropriate target groups when there are a number of segments competing for attention and reso urces. Method: TARPARE assesses previously identified segments on the following cr iteria: T: The Total number of persons in the segment; AR: The proportion o f At Risk persons in the segment; P: The Persuasibility of the target audie nce; A: The Accessibility of the target audience; R: Resources required to meet the needs of the target audience; and E: Equity, social justice consid erations. The assessment can be applied qualitatively or can be applied suc h that scores can be assigned to each segment. Two examples are presented. Conclusions: TARPARE is a useful and flexible model for understanding the v arious segments in a population of interest and for assessing the potential viability of interventions directed at each segment. The model is particul arly useful when there is a need to prioritise segments in terms of availab le budgets. Implications: The model provides a disciplined approach to target selection and forces consideration of what weights should be applied to the differen t criteria, and how these might vary for different issues or for different objectives. TARPARE also assesses segments in terms of an overall likelihoo d of optimal impact for each segment. Targeting high scoring segments is li kely to lead to greater program success than targeting low scoring segments .