Carl Tyler1, Sarah Schramm2, Matthew Karafa3, Anne S Tang3, Anil Jain4. 1. Cleveland Clinic Medicine Institute, Cleveland, OH ; Case Western Reserve University Department of Family Medicine, Cleveland, OH. 2. Cleveland Clinic Medicine Institute, Cleveland, OH. 3. Cleveland Clinic Quantitative Health Sciences, Cleveland, OH. 4. Cleveland Clinic eResearch, Cleveland, OH.
Abstract
BACKGROUND AND AIMS: Adults with intellectual and other developmental disabilities (IDD) are at risk for sub-optimal primary health care. Electronic Health Record (EHR) analyses are an under-utilized resource for studying the health and primary care of this population. METHODS: This was a case-control EHR analysis of adults with IDD provided primary care through the Cleveland Clinic between 2005 and 2008. The IDD cohort was identified by relevant ICD-9 codes in problem list and encounter diagnoses. A comparison cohort matched by age, sex, race, and insurance was also specified. Demographic, health and health service characteristics of the two cohorts were compared. FINDINGS: The IDD cohort consisted of 1267 individuals, mean age 39 years, 54% male, 78% Caucasian. Age, sex, racial, and health insurance characteristics were similar in the 2534 individuals in the comparison cohort. Individuals with IDD were significantly more likely to carry diagnoses of epilepsy, constipation, osteoporosis, obesity, and hyperlipidemia; but were significantly less likely to bear diagnoses of hypertension, diabetes, osteoarthritis, heart failure, coronary heart disease, and COPD. Despite a lower mean BMI, individuals with IDD were more likely to be labeled obese. Only genetic consultation rates were higher in the IDD cohort. DISCUSSION: Health services research related to persons with IDD is becoming more feasible as large health systems adopt EHRs. Further analyses from this dataset will investigate whether variations in disease rates in adults with IDD represent true differences in disease prevalence versus disparities in health care.
BACKGROUND AND AIMS: Adults with intellectual and other developmental disabilities (IDD) are at risk for sub-optimal primary health care. Electronic Health Record (EHR) analyses are an under-utilized resource for studying the health and primary care of this population. METHODS: This was a case-control EHR analysis of adults with IDD provided primary care through the Cleveland Clinic between 2005 and 2008. The IDD cohort was identified by relevant ICD-9 codes in problem list and encounter diagnoses. A comparison cohort matched by age, sex, race, and insurance was also specified. Demographic, health and health service characteristics of the two cohorts were compared. FINDINGS: The IDD cohort consisted of 1267 individuals, mean age 39 years, 54% male, 78% Caucasian. Age, sex, racial, and health insurance characteristics were similar in the 2534 individuals in the comparison cohort. Individuals with IDD were significantly more likely to carry diagnoses of epilepsy, constipation, osteoporosis, obesity, and hyperlipidemia; but were significantly less likely to bear diagnoses of hypertension, diabetes, osteoarthritis, heart failure, coronary heart disease, and COPD. Despite a lower mean BMI, individuals with IDD were more likely to be labeled obese. Only genetic consultation rates were higher in the IDD cohort. DISCUSSION: Health services research related to persons with IDD is becoming more feasible as large health systems adopt EHRs. Further analyses from this dataset will investigate whether variations in disease rates in adults with IDD represent true differences in disease prevalence versus disparities in health care.
Entities:
Keywords:
electronic health record; health service utilization; intellectual and other developmental disabilities; primary care
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