Prevalence of XXXX in a Large Integrated Healthcare Delivery System in the U.S.A.

@entity1 @entity4512 @entity6 @entity358 @entity158 @entity1118
BACKGROUND: There is a paucity of published data on the prevalence of @entity1118 conditions within large, integrated healthcare organizations in the U.S.A. Such data are essential to inform the development of appropriate treatment programs. METHODS: Twenty-five selected @entity158 conditions were used to identify @entity1 receiving care within the Henry Ford Health System (HFHS) who were enrolled in the Health Alliance Plan (HAP), a subsidiary of HFHS. @entity1 aged >=   18  years, enrolled in HAP in 2010, and having >=   2 encounters, >=   30  days apart, with an ICD-9-CM diagnosis code for a @entity158 condition of interest during 2010 were counted. Variables included in the study were as follows: age, gender, body mass index (BMI), and Charlson comorbidity conditions and index score. RESULTS: Altogether, 14,784 @entity1 (11.6% of the total adult population) met the criteria for having a @entity1118 condition. Overall, the study population was 64.4% female and had mean age (SD) of 61.2 (15.6) years and mean BMI of 31.4 (7.2) kg/m(2) . @entity4512 conditions were the most common diagnoses, comprising 75.4% of all @entity158 diagnoses. @entity6 and chronic @entity358 were the most common medical comorbidities. CONCLUSIONS: In this comprehensive analysis of 2  years of data from a large, vertically integrated metropolitan health system, @entity1118 was identified in 12% of adult @entity1 . Approximately 75% of @entity1118 conditions were musculoskeletal. The triad of age >=   60  years, BMI  >=   30, and female sex were the most salient demographic characteristics of @entity1 with @entity1118 conditions. These diagnostic and demographic data may be used to inform treatment program development.
