3.9 million older Americans have heart failure (HF) and this number is only expected to increase with the rapid growth of the =65 population. In 2012, the total cost of treating HF was $30.7 billion, 80% of which was spent on hospitalizations, and older HF patients made up over 70% of these HF-related hospitalizations. mHealth, or the use of mobile technologies to support the achievement of health objectives, has the potential to revolutionize HF self-management. In people with HF, mHealth has already been shown to improve HF self- management, decrease hospitalizations, improve quality of life, and decrease mortality. However, despite the immense potential of mHealth to significantly improve HF self-management, very little is known regarding individual characteristics, attitudes, and perceptions that influence adoption of mHealth, especially in the older population, who are known to be slower to adopt new technology compared to their younger counterparts. In order to facilitate the implementation of mHealth in HF self-management, it is essential to examine potential facilitators and barriers to its adoption. The purpose of the proposed study is to examine facilitators and barriers that influence intention to adopt mHealth among older people with HF.
The specific aims of the study are to: (1) examine the relationship between eHealth literacy, attitude towards technology, and perceptions of mHealth; (2) examine the relationship between perceptions about mHealth and intention to use mHealth; (3) explore the patients' perceptions of facilitators and barriers to mHealth adoption; and (4) describe the facilitators and barriers to mHealth adoption. Guided by the Technology Acceptance Model, which posits that intention is the strongest predictor of actual technology use; the study will use an explanatory sequential mixed-methods design to gain an in-depth understanding of the facilitators and barriers to mHealth adoption. Quota sampling will be used to recruit HF patients (=65y), cared for at the Johns Hopkins Hospital, for the quantitative strand of the study, where they will be asked to complete a survey. Purposive sampling of study participants, who expressed the least and the most intention to adopt mHealth in their response to the quantitative survey, will be used to select participants to be interviewed for the qualitative strand of the study. The proposed study is directly aligned with the National Institute of Nursing Research's (NINR) strategic plan to expand knowledge and application of health care technologies to facilitate decision support, self-management, and access to health care.
3.9 million Americans, over the age of 65, have heart failure (HF) and they account for over 70% of all HF- related hospitalizations every year. mHealth has the potential to revolutionize HF self-management since it has been shown to decrease hospitalizations, improve QOL for people with HF, and decrease mortality; however, despite its potential, very little is known regarding individual characteristics, attitudes, and perceptions tht influence the adoption of mHealth, particularly among older people with HF. The proposed study will examine facilitators and barriers that influence intention to adopt mHealth, which can facilitate the implementation of mHealth in HF self-management.
|Cajita, Maan Isabella; Hodgson, Nancy A; Lam, Katherine Wai et al. (2018) Facilitators of and Barriers to mHealth Adoption in Older Adults With Heart Failure. Comput Inform Nurs 36:376-382|
|Cajita, Maan Isabella; Hodgson, Nancy A; Budhathoki, Chakra et al. (2017) Intention to Use mHealth in Older Adults With Heart Failure. J Cardiovasc Nurs 32:E1-E7|
|Cajita, Maan Isabella; Rodney, Tamar; Xu, Jingzhi et al. (2017) Quality and Health Literacy Demand of Online Heart Failure Information. J Cardiovasc Nurs 32:156-164|
|Cajita, Maan Isabella; Baumgartner, Eva; Berben, Lut et al. (2017) Heart transplant centers with multidisciplinary team show a higher level of chronic illness management - Findings from the International BRIGHT Study. Heart Lung 46:351-356|
|Cajita, Maan Isabella; Whitehouse, Erin; Budhathoki, Chakra et al. (2016) Association between Internet use and decision-making preference in older adults. Gerontechnology 14:97-104|
|Cajita, Maan Isabella; Gleason, Kelly T; Han, Hae-Ra (2016) A Systematic Review of mHealth-Based Heart Failure Interventions. J Cardiovasc Nurs 31:E10-22|
|Cajita, Maan Isabella; Cajita, Tara Rafaela; Han, Hae-Ra (2016) Health Literacy and Heart Failure: A Systematic Review. J Cardiovasc Nurs 31:121-30|
|Abshire, Martha; Prichard, Roslyn; Cajita, Mia et al. (2016) Adaptation and coping in patients living with an LVAD: A metasynthesis. Heart Lung 45:397-405|