Paul Gellert1, Sibylle Detel2, Clemens Ernsting3, Monika Oedekoven3, Adelheid Kuhlmey3. 1. Institute of Medical Sociology, Charité - Universitätsmedizin Berlin, Germany. Electronic address: paul.gellert@charite.de. 2. Department of Education and Psychology, Freie Universität Berlin, Germany. 3. Institute of Medical Sociology, Charité - Universitätsmedizin Berlin, Germany.
Abstract
OBJECTIVES: The aim of this study was to develop and test the psychometric properties of a health knowledge test on common chronic conditions in the general population. METHODS: Operationalization based on a facet design led to 108 knowledge items on six conditions: cardiovascular disease, cancer, respiratory diseases, musculoskeletal system conditions, depression, and chronic pain. We refined the items (qualitative study 1; N=20) and selected the items by applying a mixed Rasch model (study 2; N=861). The psychometric properties (Study 3; N=4144) of the remaining 24 items were tested using exploratory (split sample N=2110) and confirmatory factor analyses (split sample N=2034). RESULTS: 108 items were refined within study 1, 24 of which were selected in study 2. In study 3, a general health knowledge factor was confirmed based on six subscales on specific conditions. Convergent validity was confirmed by the overlap of health knowledge with education and perceived health knowledge. CONCLUSION: The development and evaluation of the psychometric properties of a health knowledge test on six common conditions will improve future research on health knowledge. PRACTICAL IMPLICATIONS: Chronic conditions present a challenge; assessing the level of health knowledge is the first step to prevent and to cope with these conditions.
OBJECTIVES: The aim of this study was to develop and test the psychometric properties of a health knowledge test on common chronic conditions in the general population. METHODS: Operationalization based on a facet design led to 108 knowledge items on six conditions: cardiovascular disease, cancer, respiratory diseases, musculoskeletal system conditions, depression, and chronic pain. We refined the items (qualitative study 1; N=20) and selected the items by applying a mixed Rasch model (study 2; N=861). The psychometric properties (Study 3; N=4144) of the remaining 24 items were tested using exploratory (split sample N=2110) and confirmatory factor analyses (split sample N=2034). RESULTS: 108 items were refined within study 1, 24 of which were selected in study 2. In study 3, a general health knowledge factor was confirmed based on six subscales on specific conditions. Convergent validity was confirmed by the overlap of health knowledge with education and perceived health knowledge. CONCLUSION: The development and evaluation of the psychometric properties of a health knowledge test on six common conditions will improve future research on health knowledge. PRACTICAL IMPLICATIONS: Chronic conditions present a challenge; assessing the level of health knowledge is the first step to prevent and to cope with these conditions.