Use of Mobile Health Applications for Health-Seeking Behavior Among US Adults
Abstract
This study explores the use of mobile health applications (mHealth apps) on smartphones or tablets for health-seeking behavior among US adults. Data was obtained from cycle 4 of the 4th edition of the Health Information National Trends Survey (HINTS 4). Weighted multivariate logistic regression models examined predictors of 1) having mHealth apps, 2) usefulness of mHealth apps in achieving health behavior goals, 3) helpfulness in medical care decision-making, and 4) asking a physician new questions or seeking a second opinion. Using the Andersen Model of health services utilization, independent variables of interest were grouped under predisposing factors (age, gender, race, ethnicity, and marital status), enabling factors (education, employment, income, regular provider, health insurance, and rural/urban location of residence), and need factors (general health, confidence in their ability to take care of health, Body Mass Index, smoking status, and number of comorbidities). In a national sample of adults who had smartphones or tablets, 36 % had mHealth apps on their devices. Among those with apps, 60 % reported the usefulness of mHealth apps in achieving health behavior goals, 35 % reported their helpfulness for medical care decision-making, and 38 % reported their usefulness in asking their physicians new questions or seeking a second opinion. The multivariate models revealed that respondents were more likely to have mHealth apps if they had more education, health insurance, were confident in their ability to take good care of themselves, or had comorbidities, and were less likely to have them if they were older, had higher income, or lived in rural areas. In terms of usefulness of mHealth apps, those who were older and had higher income were less likely to report their usefulness in achieving health behavior goals. Those who were older, African American, and had confidence in their ability to take care of their health were more likely to respond that the mHealth apps were helpful in making a medical care decision and asking their physicians new questions or for a second opinion. Potentially, mHealth apps may reduce the burden on primary care, reduce costs, and improve the quality of care. However, several personal-level factors were associated with having mHealth apps and their perceived helpfulness among their users, indicating a multidimensional digital divide in the population of US adults.
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Being younger than 44 years was associated with a higher level of uptake and engagement than older adults.
“Being younger than 44 years was associated with a higher level of uptake and engagement [38,41,42,44,49,53,55,63,64] than older adults.”
From Influences on the Uptake of and Engagement With Health and Well-Being Smartphone Apps: Systematic Review (2020) · cites this paper as [42]
Living in an urban area was associated with better engagement with health and well-being apps.
“Living in an urban area [42,44,55]; having a better education level, such as having high school education or higher [41,42,44,64] and college degree or higher [41,53]; and having a higher income [44] were also associated with better engagement with health and well-being apps.”
From Influences on the Uptake of and Engagement With Health and Well-Being Smartphone Apps: Systematic Review (2020) · cites this paper as [42]
Having a better education level, such as high school education or higher and college degree or higher, was associated with better engagement with health and well-being apps.
“Living in an urban area [42,44,55]; having a better education level, such as having high school education or higher [41,42,44,64] and college degree or higher [41,53]; and having a higher income [44] were also associated with better engagement with health and well-being apps.”
From Influences on the Uptake of and Engagement With Health and Well-Being Smartphone Apps: Systematic Review (2020) · cites this paper as [42]
In one study, having health insurance was associated with uptake of, but not with engagement with, health apps.
“In 1 study, having a health insurance was associated with uptake of, but not with engagement with, health apps [42].”
From Influences on the Uptake of and Engagement With Health and Well-Being Smartphone Apps: Systematic Review (2020) · cites this paper as [42]
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- Authors
- Bhuyan, S. S., Lu, N., Chandak, A., Kim, H., Wyant, D., Bhatt, J., Kedia, S., & Chang, C. F.
- Affiliations
- University of Memphis (US)
- Governors State University (US)
- University of Nebraska Medical Center (US)
- Belmont University (US)
- Northwestern University (US)
- Corresponding author
- Bhuyan, Soumitra S.
- Venue
- Journal of Medical Systems
- Published
- 2016-05-04
- Volume
- 40
- Issue
- 6
- Pages
- 153-153
- ISSN
- 0148-5598 (ISSN-L)
- 1573-689X
- OpenAlex
- W2346909424
- Cited by
- 210
- References
- 26
- Citations by year
- 2026: 14 · 2025: 24 · 2024: 23 · 2023: 28 · 2022: 25 · 2021: 33 · 2020: 22 · 2019: 16 · 2018: 11 · 2017: 13 · 2016: 1
- FWCI
- 25.42
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Journal of Medical Systems (publishedVersion)
- PubMed (publishedVersion)
- Rutgers University Community Repository (Rutgers University) (submittedVersion)
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Health Sciences › Health Professions › Health Information Management › Health, Technology, Consumer Behavior
- Physical Sciences › Computer Science › Information Systems › Mobile Learning in Education
- Keywords
- mobile health apps, health-seeking behavior, smartphone use, Andersen Behavioral Model, digital divide, second opinion, clinical decision-making, self-efficacy, health insurance, socioeconomic factors, urban-rural differences, Health Information National Trends Survey
- MeSH terms
- Adult, Humans, United States, Computer Security, Telemedicine, Information Seeking Behavior, Mobile Applications
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