scholarly journals Exploring chronic disease prevalence in people with intellectual disabilities in primary care settings: A scoping review

2021 ◽  
Author(s):  
Milou Bemd ◽  
Maarten Cuypers ◽  
Erik W. M. A. Bischoff ◽  
Marloes Heutmekers ◽  
Bianca Schalk ◽  
...  
Keyword(s):  
Primary Care ◽  
Chronic Disease ◽  
Intellectual Disabilities ◽  
Scoping Review ◽  
Disease Prevalence ◽  
Primary Care Settings ◽  
People With Intellectual Disabilities ◽  
Chronic Disease Prevalence

scholarly journals Mapping chronic disease prevalence based on medication use and socio-demographic variables: an application of LASSO on administrative data sources in healthcare in the Netherlands

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Koen Füssenich ◽  
Hendriek C. Boshuizen ◽  
Markus M. J. Nielen ◽  
Erik Buskens ◽  
Talitha L. Feenstra
Keyword(s):  
Chronic Disease ◽  
Hospital Admission ◽  
Medication Use ◽  
Disease Prevalence ◽  
Percentage Error ◽  
Economic Variables ◽  
Regional Patterns ◽  
Prevalence Estimates ◽  
Socio Economic Variables ◽  
Chronic Disease Prevalence

Abstract Background Policymakers generally lack sufficiently detailed health information to develop localized health policy plans. Chronic disease prevalence mapping is difficult as accurate direct sources are often lacking. Improvement is possible by adding extra information such as medication use and demographic information to identify disease. The aim of the current study was to obtain small geographic area prevalence estimates for four common chronic diseases by modelling based on medication use and socio-economic variables and next to investigate regional patterns of disease. Methods Administrative hospital records and general practitioner registry data were linked to medication use and socio-economic characteristics. The training set (n = 707,021) contained GP diagnosis and/or hospital admission diagnosis as the standard for disease prevalence. For the entire Dutch population (n = 16,777,888), all information except GP diagnosis and hospital admission was available. LASSO regression models for binary outcomes were used to select variables strongly associated with disease. Dutch municipality (non-)standardized prevalence estimates for stroke, CHD, COPD and diabetes were then based on averages of predicted probabilities for each individual inhabitant. Results Adding medication use data as a predictor substantially improved model performance. Estimates at the municipality level performed best for diabetes with a weighted percentage error (WPE) of 6.8%, and worst for COPD (WPE 14.5%)Disease prevalence showed clear regional patterns, also after standardization for age. Conclusion Adding medication use as an indicator of disease prevalence next to socio-economic variables substantially improved estimates at the municipality level. The resulting individual disease probabilities could be aggregated into any desired regional level and provide a useful tool to identify regional patterns and inform local policy.

scholarly journals The Most Undertreated Chronic Disease: Addressing Obesity in Primary Care Settings

2021 ◽  
Author(s):  
Shanna Tucker ◽  
Carolyn Bramante ◽  
Molly Conroy ◽  
Angela Fitch ◽  
Adam Gilden ◽  
...  
Keyword(s):  
Primary Care ◽  
Chronic Disease ◽  
Primary Care Settings

A Comparative Analysis of Chronic Disease Prevalence among Older Koreans and Non-Hispanic Whites

1997 ◽  
Vol 20 (2) ◽  
pp. 1-12 ◽  
Author(s):  
Valentine M. Villa ◽  
Steven P. Wallace ◽  
Ailee Moon ◽  
James E. Lubben
Keyword(s):  
Comparative Analysis ◽  
Chronic Disease ◽  
Disease Prevalence ◽  
Chronic Disease Prevalence
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