Please use this identifier to cite or link to this item: https://repository.iimb.ac.in/handle/2074/10838
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dc.contributor.authorSeethamraju, Ravi
dc.contributor.authorDiatha, Krishna Sundar
dc.contributor.authorGarg, Shashank
dc.date.accessioned2020-03-12T11:55:27Z-
dc.date.available2020-03-12T11:55:27Z-
dc.date.issued2018
dc.identifier.issn1387-3326
dc.identifier.urihttps://repository.iimb.ac.in/handle/2074/10838-
dc.description.abstractThere are 2.2 million cases of tuberculosis (TB) in India, with an economic burden of $3 billion per year. Efficient monitoring of TB treatment is critical and the Indian Government’s current reliance on a pen and paper system for monitoring patients’ adherence to treatment is neither effective nor scalable. Employing the unified theory of acceptance and use of technology model (UTAUT) as its theoretical foundation, this study investigates the factors influencing the acceptance and use of a mobile-based IT solution for TB treatment monitoring. Data was collected from a survey of healthcare professionals working in TB treatment clinics and analysed using partial least squares structural equation modelling. Four constructs in the UTAUT model, effort expectancy (EE), facilitating conditions (FC), performance expectancy (PE) and social influence (SI) – were found to significantly and positively influence healthcare professionals’ behavioral intention to use the proposed mobile-based IT solution, and explained 56% of the variance. Importantly, our study validates the predictive capabilities of the UTAUT model in public health service delivery context in a developing country.
dc.publisherSpringer
dc.subjectHealth industry
dc.subjectPublic health
dc.subjectMobile
dc.subjectUTAUT model
dc.subjectTB treatment
dc.titleIntention to Use a Mobile-Based Information Technology Solution for Tuberculosis Treatment Monitoring – Applying a UTAUT Model
dc.typeJournal Article
dc.identifier.doihttps://doi.org/10.1007/S10796-017-9803-X
dc.pages163-181p.
dc.vol.noVol.20-
dc.issue.noIss.1-
dc.journal.nameInformation Systems Frontiers
Appears in Collections:2010-2019
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