OBJECTIVE: We investigated the degree of comparability of the prevalence of chronic diseases and disease combinations in the elderly in two databases comparable with regard to diseases included, sex and age of the patients (65-85 years), and cutoff score for case definition. STUDY DESIGN AND SETTING: One study is based on chart-supported interviews with the primary care physicians within a cohort study of 3,189 multimorbid elderly patients. The second study analyzed claims data from ambulatory care delivered to the multimorbid members of one German Health Insurance (n = 70,031). Multimorbidity was defined by the presence of three or more chronic conditions from an identical list of 46 diseases. RESULTS: The difference of the median number of chronic conditions was 1 (mean 6.7 vs. 5.7). The prevalences of individual conditions were approximately one-third lower in the claims data, but the relative rank order corresponded well between the two databases. These relatively small prevalence differences cumulate when combinations of chronic conditions are investigated, for example, the prevalence differences between the two databases increased to nearly 100% for triadic combinations and nearly 170% for quartets. CONCLUSION: The study shows that conclusions regarding the prevalence of combinations of diseases should be drawn with caution when based on a single database.
OBJECTIVE: We investigated the degree of comparability of the prevalence of chronic diseases and disease combinations in the elderly in two databases comparable with regard to diseases included, sex and age of the patients (65-85 years), and cutoff score for case definition. STUDY DESIGN AND SETTING: One study is based on chart-supported interviews with the primary care physicians within a cohort study of 3,189 multimorbid elderly patients. The second study analyzed claims data from ambulatory care delivered to the multimorbid members of one German Health Insurance (n = 70,031). Multimorbidity was defined by the presence of three or more chronic conditions from an identical list of 46 diseases. RESULTS: The difference of the median number of chronic conditions was 1 (mean 6.7 vs. 5.7). The prevalences of individual conditions were approximately one-third lower in the claims data, but the relative rank order corresponded well between the two databases. These relatively small prevalence differences cumulate when combinations of chronic conditions are investigated, for example, the prevalence differences between the two databases increased to nearly 100% for triadic combinations and nearly 170% for quartets. CONCLUSION: The study shows that conclusions regarding the prevalence of combinations of diseases should be drawn with caution when based on a single database.
Authors: Ingmar Schäfer; Hanna Kaduszkiewicz; Hans-Otto Wagner; Gerhard Schön; Martin Scherer; Hendrik van den Bussche Journal: BMC Public Health Date: 2014-12-16 Impact factor: 3.295
Authors: Anna J Koné Pefoyo; Susan E Bronskill; Andrea Gruneir; Andrew Calzavara; Kednapa Thavorn; Yelena Petrosyan; Colleen J Maxwell; YuQing Bai; Walter P Wodchis Journal: BMC Public Health Date: 2015-04-23 Impact factor: 3.295
Authors: Juan F Orueta; Arturo García-Álvarez; Edurne Alonso-Morán; Laura Vallejo-Torres; Roberto Nuño-Solinis Journal: BMC Public Health Date: 2013-09-22 Impact factor: 3.295
Authors: Hans-Helmut König; Hanna Leicht; Horst Bickel; Angela Fuchs; Jochen Gensichen; Wolfgang Maier; Karola Mergenthal; Steffi Riedel-Heller; Ingmar Schäfer; Gerhard Schön; Siegfried Weyerer; Birgitt Wiese; Hendrik van den Bussche; Martin Scherer; Matthias Eckardt Journal: BMC Health Serv Res Date: 2013-06-15 Impact factor: 2.655
Authors: Juan F Orueta; Roberto Nuño-Solinís; Arturo García-Alvarez; Edurne Alonso-Morán Journal: BMC Public Health Date: 2013-10-03 Impact factor: 3.295