Intention to Use mHealth in Older Adults With Heart Failure.
Maan Isabella Cajita, Nancy A Hodgson, Chakra Budhathoki and 1 others
PMID 28248747WHAT IT FOUND
Older adults with heart failure said they would use mobile health tools if they found them useful and easy, and if a doctor or primary healthcare provider recommended them.
This measured intention, not actual use.
Key findings
01Older adults with heart failure were more likely to intend to use mHealth if they thought it was useful and easy to use.
02Social influence was associated with intention to use mHealth, while eHealth literacy was not.
0386.1% said their doctor's or nurse practitioner's advice mattered most, and 35 strongly agreed and 48 agreed they would use mHealth if their doctor or primary healthcare provider recommended it.
STILL TO COME
How it was doneWhat they foundWhat it means for RNs
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What it does not show
The study was cross-sectional, so it cannot show that these factors cause intention or actual use. The outcome was intention to use mHealth, not measured use of mHealth for heart failure self-management. Participants were recruited by convenience from one hospital and an online panel, so the sample may not represent older adults with heart failure. 94% of participants were aged 65 to 79, so the findings may not apply to the oldest adults with heart failure. The sample had more education and income than average older American adults, so it may not apply to older adults with lower education or income. People with dementia, cognitive impairment, nursing home residence, acute heart attack, emergent cardiac surgery, or advanced heart failure were excluded. People who declined to participate were older than participants (77 years vs 71.3 years).
Declared interests
The authors declared no conflicts of interest. Each participant received $10 for completing the survey.
The easy way to misread this
Do not conclude that mHealth improves heart failure outcomes or that these patients will actually use it. The study measured intention to use mHealth and was cross-sectional, so it cannot show cause or real-world adoption.