Publication: Evidence-based design recommendations for prevalence studies on multimorbidity: improving comparability of estimates
Evidence-based design recommendations for prevalence studies on multimorbidity: improving comparability of estimates
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Holzer, B. M., Siebenhuener, K., Bopp, M., & Minder, C. E. (2017). Evidence-based design recommendations for prevalence studies on multimorbidity: improving comparability of estimates. Population Health Metrics, 15, 9. https://doi.org/10.1186/s12963-017-0126-4
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Background: In aging populations, multimorbidity causes a disease burden of growing importance and cost. However, estimates of the prevalence of multimorbidity (prevMM) vary widely across studies, impeding valid comparisons and interpretation of differences. With this study we pursued two research objectives: (1) to identify a set of study design and demographic factors related to prevMM, and (2) based on (1), to formulate design recommendations for future studies with improved comparability of prevalence estimates. Methods: Study dat
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Holzer, B. M., Siebenhuener, K., Bopp, M., & Minder, C. E. (2017). Evidence-based design recommendations for prevalence studies on multimorbidity: improving comparability of estimates. Population Health Metrics, 15, 9. https://doi.org/10.1186/s12963-017-0126-4