J Am Med Inform Assoc - Factors affecting home care patients' acceptance of a web-based interactive self-management technology.

Tópicos

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Resumo

JECTIVE: With the advent of personal health records and other patient-focused health technologies, there is a growing need to better understand factors that contribute to acceptance and use of such innovations. In this study, we employed the Unified Theory of Acceptance and Use of Technology as the basis for determining what predicts patients' acceptance (measured by behavioral intention) and perceived effective use of a web-based, interactive self-management innovation among home care patients.DESIGN: Cross-sectional secondary analysis of data from a randomized field study evaluating a technology-assisted home care nursing practice with adults with chronic cardiac disease. MEASUREMENT AND ANALYSIS: A questionnaire was designed based on validated measurement scales from prior research and was completed by 101 participants for measuring the acceptance constructs as part of the parent study protocol. Latent variable modeling with item parceling guided assessment of patients' acceptance.RESULTS: Perceived usefulness accounted for 53.9% of the variability in behavioral intention, the measure of acceptance. Together, perceived usefulness, health care knowledge, and behavioral intention accounted for 68.5% of the variance in perceived effective use. Perceived ease of use and subjective norm indirectly influenced behavioral intention, through perceived usefulness. Perceived ease of use and subjective norm explained 48% of the total variance in perceived usefulness.CONCLUSION: The study demonstrates that perceived usefulness, perceived ease of use, subjective norm, and healthcare knowledge together predict most of the variance in patients' acceptance and self-reported use of the web-based self-management technology.

Resumo Limpo

jectiv advent person health record patientfocus health technolog grow need better understand factor contribut accept use innov studi employ unifi theori accept use technolog basi determin predict patient accept measur behavior intent perceiv effect use webbas interact selfmanag innov among home care patientsdesign crosssect secondari analysi data random field studi evalu technologyassist home care nurs practic adult chronic cardiac diseas measur analysi questionnair design base valid measur scale prior research complet particip measur accept construct part parent studi protocol latent variabl model item parcel guid assess patient acceptanceresult perceiv use account variabl behavior intent measur accept togeth perceiv use health care knowledg behavior intent account varianc perceiv effect use perceiv eas use subject norm indirect influenc behavior intent perceiv use perceiv eas use subject norm explain total varianc perceiv usefulnessconclus studi demonstr perceiv use perceiv eas use subject norm healthcar knowledg togeth predict varianc patient accept selfreport use webbas selfmanag technolog

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