title: Determinants of the use of a diabetes risk-screening test.
abstract: A study was designed to investigate why people do or do not make use of a diabetes risk test developed to facilitate the timely diagnosis of diabetes. Data were collected using a web-based questionnaire, which was based on the Health Belief Model, the Theory of Planned Behavior, and the Threatening Medical Situations Inventory. People who had and had not used the risk test were recruited to complete the survey. The sample consisted of 205 respondents: 44% who had used the test and 56% who had not. The hypothesized relationships between the dependent variable (diabetes risk test use) and the determinants used in this study were tested using logistic regression analysis. Only two significant predictors of diabetes risk test use were found: gender and barriers. More women than men use the test. Furthermore, people who experience more barriers will be less inclined to use the test. The contribution of diabetes screening tests fully depends on people's willingness to use them. To optimize the usage of such test, it is especially important to address the barriers as perceived by the public. Two types of barriers must be addressed: practical barriers (time to take the test, fear of complexity of the test), and consequential barriers (fear of the disease and treatment, uncertainties about where to go in the case of an increased risk of diabetes).
authors.affiliation: Department of Psychology & Communication of Health & Risk, Faculty of Behavioral Sciences, University of Twente, P.O. Box 217, 7500 AE Enschede, The Netherlands. n.nijhof@focuscura.nl
authors.forename: Nienke
authors.initials: N
authors.lastname: Nijhof
authors.forename: Claartje L
authors.initials: CL
authors.lastname: ter Hoeven
authors.forename: Menno D T
authors.initials: MD
authors.lastname: de Jong
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D003920:Diabetes Mellitus / Q000175:diagnosis*; D005260:Female; D006801:Humans; D020407:Internet; D008297:Male; D008403:Mass Screening / Q000706:statistics & numerical data*; D008875:Middle Aged; D009426:Netherlands; D010342:Patient Acceptance of Health Care; D011795:Surveys and Questionnaires; D055815:Young Adult