# Exploring Disparities in Healthcare Wearable Use among Cardiovascular Patients: Findings from a National Survey

**Authors:** Ranganathan Chandrasekaran, Pratik Sharma, Evangelos Moustakas

PMC · DOI: 10.31083/j.rcm2411307 · Reviews in Cardiovascular Medicine · 2023-11-09

## TL;DR

This study finds that only 18% of cardiovascular disease patients use healthcare wearables, with disparities based on gender, age, race, and income.

## Contribution

The study identifies socio-demographic and health-related factors influencing wearable device use among cardiovascular patients using a national survey.

## Key findings

- 18.34% of CVD patients used healthcare wearables in the past year, with 41.92% using them daily.
- Female, younger, higher-income, and healthier patients are more likely to use wearables.
- Hispanic and African American patients are significantly less likely to use wearables compared to non-Hispanic White patients.

## Abstract

Use of healthcare wearable devices holds significant 
potential for improving the prevention and management of cardiovascular diseases 
(CVD). However, we have limited knowledge on the actual use of wearable devices 
by CVD patients and the key factors associated with their use. This study aims to 
assess wearable device use and willingness to share health data among CVD 
patients, while identifying socio-demographic, health, and technology-related 
factors associated with wearable technology use.

Using a 
national survey of 933 CVD patients, we assess use of wearable healthcare devices 
(use, frequency of use and willingness to share health data from wearable with a 
provider), and a set of socio-demographic factors (age, gender, race, education 
and household income), health-related variables (general health, presence of 
comorbid conditions: diabetes and high blood pressure, attitude towards exercise) 
and technology self-efficacy using logistic regression.

Of the 
933 CVD patients, 18.34% reported using a healthcare wearable device in the 
prior 12 months. Of those, 41.92% indicated using it every day and another 
19.76% indicated using it ‘almost every day’. 83.54% of wearable users 
indicated their willingness to share health data with their healthcare providers. 
Female CVD patients are more likely to use wearables compared to men (odds ratio 
(OR) = 1.65, 95% confidence interval (CI) = 1.04–2.63). The odds decrease with 
age, and are significantly high in patients with higher income levels. In 
comparison with non-Hispanic White, Hispanic (OR = 0.14, 95% CI = 0.03–0.70) 
and African Americans (OR = 0.17, 95% CI = 0.04–0.86) are less likely to use 
healthcare wearables. CVD patients who perceive their general health to be better 
(OR = 1.45, 95% CI = 1.11–1.89) and those who enjoy exercising (OR = 1.76, 95% 
CI = 1.22–2.55) are more likely to use wearables. CVD patients who use the 
internet for searching for medical information (OR = 2.10, 95% CI = 1.17–3.77) 
and those who use electronic means to make appointments with their providers (OR 
= 2.35, 95% CI = 1.48–3.74) are more inclined to use wearables.

Addressing low wearable device usage among CVD patients 
requires targeted policy interventions to ensure equitable access. Variations in 
gender, age, race/ethnicity, and income levels emphasize the need for tailored 
strategies. Technological self-efficacy, positive health perceptions, and 
exercise enjoyment play significant roles in promoting wearable use. These 
insights should guide healthcare leaders in designing effective strategies for 
integrating wearables into cardiovascular care.

## Linked entities

- **Diseases:** diabetes (MONDO:0005015), high blood pressure (MONDO:0005044)

## Full-text entities

- **Diseases:** CVD (MESH:D002318), blood pressure (MESH:D006973), diabetes (MESH:D003920)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

3 figures with captions in the complete paper: https://tomesphere.com/paper/PMC11272832/full.md

## References

57 references — full list in the complete paper: https://tomesphere.com/paper/PMC11272832/full.md

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Source: https://tomesphere.com/paper/PMC11272832