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MHealth and perceived quality of care delivery: a conceptual model and validation
BACKGROUND: 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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7045642/ https://www.ncbi.nlm.nih.gov/pubmed/32103746 http://dx.doi.org/10.1186/s12911-020-1049-8 |
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author | O’Connor, Yvonne Andreev, Pavel O’Reilly, Philip |
author_facet | O’Connor, Yvonne Andreev, Pavel O’Reilly, Philip |
author_sort | O’Connor, Yvonne |
collection | PubMed |
description | BACKGROUND: 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. |
format | Online Article Text |
id | pubmed-7045642 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-70456422020-03-03 MHealth and perceived quality of care delivery: a conceptual model and validation O’Connor, Yvonne Andreev, Pavel O’Reilly, Philip BMC Med Inform Decis Mak Research Article BACKGROUND: 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. BioMed Central 2020-02-27 /pmc/articles/PMC7045642/ /pubmed/32103746 http://dx.doi.org/10.1186/s12911-020-1049-8 Text en © The Author(s). 2020 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article O’Connor, Yvonne Andreev, Pavel O’Reilly, Philip MHealth and perceived quality of care delivery: a conceptual model and validation |
title | MHealth and perceived quality of care delivery: a conceptual model and validation |
title_full | MHealth and perceived quality of care delivery: a conceptual model and validation |
title_fullStr | MHealth and perceived quality of care delivery: a conceptual model and validation |
title_full_unstemmed | MHealth and perceived quality of care delivery: a conceptual model and validation |
title_short | MHealth and perceived quality of care delivery: a conceptual model and validation |
title_sort | mhealth and perceived quality of care delivery: a conceptual model and validation |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7045642/ https://www.ncbi.nlm.nih.gov/pubmed/32103746 http://dx.doi.org/10.1186/s12911-020-1049-8 |
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