{'fraction_non_alphanumeric': 0.03450134770889488, 'fraction_numerical': 0.020485175202156335, 'mean_word_length': 4.763975155279503, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Abstract P197: Health Information Technology Use Among Patients With Diagnosed Atherosclerotic Cardiovascular Disease: Evidence From The 2010-2018 National Health Interview Survey


 Introduction:
 Atherosclerotic Cardiovascular Disease (ASCVD) is the leading cause of morbidity and mortality worldwide. Health Information Technologies (HIT) have recently emerged as a viable intervention to mitigate the burden of ASCVD. At least 60% of US adults report searching the internet for health information; however, previous research has not examined prevalence and sociodemographic differences in HIT use among adults with ASCVD.
 
 
 Objective:
 To evaluate the prevalence and sociodemographic differences in HIT use among U.S. adults with a history of diagnosed ASCVD.
 
 
 Methods:
 We pooled cross-sectional data from the 2010-2018 National Health Interview Survey (NHIS) to examine HIT use among adults aged ≥18 years (N=2,410) who self-reported being diagnosed with ASCVD (coronary heart disease (CHD) and/or stroke). We evaluated sociodemographic differences in HIT use among respondents with generalized linear models using Poisson distribution. Analyses were weighted according to NHIS standards.
 
 
 Results:
 The mean (±sd) age was 70 (±0.2) years, and 47.7% were female. Among US adults with a history of ASCVD, 22.6% of respondents utilized some form of HIT. HIT users with a history of ASCVD were more likely to be younger in age, have at least some college education, be employed, and be married (
 Table 1
 ).
 
 
 Conclusion:
 HIT use was low among adults with a history of ASCVD, which may represent a barrier to delivering care via emerging HIT. Given the association with sociodemographic factors such as education and employment, there is a need to develop targeted strategies to address sociodemographic barriers that impact HIT usage.
