Open AccessMobile Health Access and Use Among Individuals With or At Risk for Cardiovascular Disease: 2018 Health Information National Trends Survey ( HINTS )
Author(s) -
Shan Rongzi,
Ding Jie,
Plante Timothy B.,
Martin Seth S.
Publication year - 2019
Publication title -
journal of the american heart association
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.494
H-Index - 85
ISSN - 2047-9980
DOI - 10.1161/jaha.119.014390
Subject(s) - medicine , odds ratio , national health and nutrition examination survey , disease , health information national trends survey , diabetes mellitus , odds , gerontology , logistic regression , cardiovascular health , physical therapy , health care , environmental health , population , health information , endocrinology , economics , economic growth
Background Mobile health ( mH ealth) technologies can deliver interventions to prevent and manage cardiovascular disease ( CVD ), but mH ealth uptake among those with or at risk for CVD remains incompletely explored. Therefore, in this group, we assessed the prevalence of mH ealth access and usage, and the association between CVD risk and mH ealth uptake. Methods and Results Data were from 3248 adults in the 2018 Health Information National Trends Survey. We defined CVD risk as reporting a heart condition, diabetes mellitus, hypertension, and/or current smoking (n=1903). Multivariable logistic regression, adjusting for demographics, was used to assess the relationship between CVD risk and mH ealth uptake. Most individuals with CVD risk owned a smartphone (73%, 95% CI : 69%–76%) and 48% (95% CI : 44%–52%) had a health app. Among men, those with CVD risk were more likely to use a wearable device (odds ratio 2.43, 95% CI : 1.44–4.10) than those without CVD risk, while there was no difference among women. In both sexes, CVD risk was associated with sharing information from a smartphone/wearable with a clinician (odds ratio 1.63, 95% CI 1.12–2.35 in women; odds ratio 3.99, 95% CI 2.30–6.95 in men). However, there was no difference in the odds of using mH ealth to track health progress, make health decisions, aid healthcare discussions, or text a clinician. Conclusions In a nationally representative sample, there was high prevalence of smartphone ownership but incomplete mH ealth uptake. Having CVD or its risk factors was associated with sharing information from smartphone/wearables, suggesting potential to leverage clinically validated mH ealth interventions for CVD prevention.