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dc.contributor.authorO'Connor, Yvonne
dc.contributor.authorAndreev, Pavel
dc.contributor.authorO'Reilly, Philip
dc.date.accessioned2021-09-14T14:46:17Z
dc.date.available2021-09-14T14:46:17Z
dc.date.issued2020-02-27
dc.identifier.pmid32103746
dc.identifier.doi10.1186/s12911-020-1049-8
dc.identifier.urihttp://hdl.handle.net/10147/630395
dc.descriptionBackground: The objective of this research is to examine, conceptualize, and empirically validate a model of mobile health (mHealth) impacts on physicians' perceived quality of care delivery (PQoC). Methods: Observational quasi-experimental one group posttest-only design was implemented through the empirical testing of the conceptual model with nine hypotheses related to the association of task and technology characteristics, self-efficacy, m-health utilization, task-technology fit (TTF), and their relationships with PQoC. Primary data was collected over a four-month period from acute care physicians in The Ottawa Hospital, Ontario, Canada. The self-reported data was collected by employing a survey and distributed through the internal hospital channels to physicians who adopted iPads for their daily activities. Results: Physicians' PQoC was found to be positively affected by the level of mHealth utilization and TTF, while the magnitude of the TTF direct effect was two times stronger than utilization. Additionally, self-efficacy has the highest direct and total effect on mHealth utilization; in the formation of TTF, technological characteristics dominate followed by task characteristics. Conclusion: To date, the impact of utilized mHealth on PQoC has neither been richly theorized nor explored in depth. We address this gap in existing literature. Realizing how an organization can improve TTF will lead to better PQoC.en_US
dc.language.isoenen_US
dc.subjectInformation technology utilizationen_US
dc.subjectMobile systemsen_US
dc.subjectPost-implementationen_US
dc.subjectQuality of careen_US
dc.titleMHealth and perceived quality of care delivery: a conceptual model and validation.en_US
dc.typeArticleen_US
dc.typeOtheren_US
dc.identifier.eissn1472-6947
dc.identifier.journalBMC medical informatics and decision makingen_US
dc.source.journaltitleBMC medical informatics and decision making
dc.source.volume20
dc.source.issue1
dc.source.beginpage41
dc.source.endpage
refterms.dateFOA2021-09-14T14:46:17Z
dc.source.countryEngland


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