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Perceptions of adopters versus non-adopters of a patient portal: an application of diffusion of innovation theory

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Zeitschriftentitel: BMJ Health & Care Informatics
Personen und Körperschaften: Emani, Srinivas, Peters, Ellen, Desai, Sonali, Karson, Andrew S., Lipsitz, Stuart R., LaRocca, Rajani, Stone, John, Suric, Vlad, Wald, Jonathan S., Wheeler, Amy, Williams, Deborah H., Bates, David W.
In: BMJ Health & Care Informatics, 25, 2018, 3, S. 149-157
Medientyp: E-Article
Sprache: Englisch
veröffentlicht:
BMJ
Schlagwörter:
author_facet Emani, Srinivas
Peters, Ellen
Desai, Sonali
Karson, Andrew S.
Lipsitz, Stuart R.
LaRocca, Rajani
Stone, John
Suric, Vlad
Wald, Jonathan S.
Wheeler, Amy
Williams, Deborah H.
Bates, David W.
Emani, Srinivas
Peters, Ellen
Desai, Sonali
Karson, Andrew S.
Lipsitz, Stuart R.
LaRocca, Rajani
Stone, John
Suric, Vlad
Wald, Jonathan S.
Wheeler, Amy
Williams, Deborah H.
Bates, David W.
author Emani, Srinivas
Peters, Ellen
Desai, Sonali
Karson, Andrew S.
Lipsitz, Stuart R.
LaRocca, Rajani
Stone, John
Suric, Vlad
Wald, Jonathan S.
Wheeler, Amy
Williams, Deborah H.
Bates, David W.
spellingShingle Emani, Srinivas
Peters, Ellen
Desai, Sonali
Karson, Andrew S.
Lipsitz, Stuart R.
LaRocca, Rajani
Stone, John
Suric, Vlad
Wald, Jonathan S.
Wheeler, Amy
Williams, Deborah H.
Bates, David W.
BMJ Health & Care Informatics
Perceptions of adopters versus non-adopters of a patient portal: an application of diffusion of innovation theory
Health Information Management
Health Informatics
Computer Science Applications
author_sort emani, srinivas
spelling Emani, Srinivas Peters, Ellen Desai, Sonali Karson, Andrew S. Lipsitz, Stuart R. LaRocca, Rajani Stone, John Suric, Vlad Wald, Jonathan S. Wheeler, Amy Williams, Deborah H. Bates, David W. 2632-1009 BMJ Health Information Management Health Informatics Computer Science Applications http://dx.doi.org/10.14236/jhi.v25i3.991 <jats:sec><jats:title>Background</jats:title><jats:p>Patient portals have emerged as an important tool through which patients can access online health information and engage in their health care. However, we know little about how patients perceive portals and whether patient perceptions might influence portal adoption.</jats:p></jats:sec><jats:sec><jats:title>Objective</jats:title><jats:p>Apply the diffusion of innovation (DOI) theory to assess perceptions of adopters and non-adopters of a patient portal.</jats:p></jats:sec><jats:sec sec-type="methods"><jats:title>Methods</jats:title><jats:p>We conducted a cross-sectional survey of adopters and non-adopters of the portal. Our survey consisted of perceived attributes from the DOI theory, socio-demographic characteristics and patient perceptions of technology adoption.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>Three factors representing perceived attributes from DOI theory accounted for 73% of the variance in the data: Factor 1 – Relative Advantage (27%); Factor 2 – Ease of Use (24%) and Factor 3 – Trialability (22%). Adopters perceived greater Relative Advantage [mean (SD)] = 3.8 (0.71)<jats:italic>versus</jats:italic>3.2 (0.89),<jats:italic>p</jats:italic>&lt; 0.001, Ease of Use = 4.1 (0.71)<jats:italic>versus</jats:italic>3.3 (0.95),<jats:italic>p</jats:italic>&lt; 0.001 and Trialability = 4.0 (0.57)<jats:italic>versus</jats:italic>3.4 (0.99),<jats:italic>p</jats:italic>&lt; 0.001 than non-adopters. In multivariate modelling, age [OR = 3.75, 95% CI: (2.17, 6.46),<jats:italic>p</jats:italic>&lt; 0.001] and income [OR = 1.87, 95% CI: (1.17, 3.00),<jats:italic>p</jats:italic>&lt; 0.01] predicted adoption of the portal. Among DOI factors, Relative advantage predicted adoption of the portal [OR = 1.48, 95% CI: (1.03, 2.11),<jats:italic>p</jats:italic>&lt; 0.05].</jats:p></jats:sec><jats:sec><jats:title>Conclusion</jats:title><jats:p>Patients will adopt a patient portal if they perceive it to offer a relative advantage over existing practices such as telephoning or visiting the doctor’s office. Organisations seeking to increase the adoption of patient portals should implement strategies to promote the relative advantage of portals as, for example, through posters in waiting and exam rooms. A digital divide in the adoption of patient portals may exist with respect to age and income.</jats:p></jats:sec> Perceptions of adopters versus non-adopters of a patient portal: an application of diffusion of innovation theory BMJ Health & Care Informatics
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title Perceptions of adopters versus non-adopters of a patient portal: an application of diffusion of innovation theory
title_unstemmed Perceptions of adopters versus non-adopters of a patient portal: an application of diffusion of innovation theory
title_full Perceptions of adopters versus non-adopters of a patient portal: an application of diffusion of innovation theory
title_fullStr Perceptions of adopters versus non-adopters of a patient portal: an application of diffusion of innovation theory
title_full_unstemmed Perceptions of adopters versus non-adopters of a patient portal: an application of diffusion of innovation theory
title_short Perceptions of adopters versus non-adopters of a patient portal: an application of diffusion of innovation theory
title_sort perceptions of adopters versus non-adopters of a patient portal: an application of diffusion of innovation theory
topic Health Information Management
Health Informatics
Computer Science Applications
url http://dx.doi.org/10.14236/jhi.v25i3.991
publishDate 2018
physical 149-157
description <jats:sec><jats:title>Background</jats:title><jats:p>Patient portals have emerged as an important tool through which patients can access online health information and engage in their health care. However, we know little about how patients perceive portals and whether patient perceptions might influence portal adoption.</jats:p></jats:sec><jats:sec><jats:title>Objective</jats:title><jats:p>Apply the diffusion of innovation (DOI) theory to assess perceptions of adopters and non-adopters of a patient portal.</jats:p></jats:sec><jats:sec sec-type="methods"><jats:title>Methods</jats:title><jats:p>We conducted a cross-sectional survey of adopters and non-adopters of the portal. Our survey consisted of perceived attributes from the DOI theory, socio-demographic characteristics and patient perceptions of technology adoption.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>Three factors representing perceived attributes from DOI theory accounted for 73% of the variance in the data: Factor 1 – Relative Advantage (27%); Factor 2 – Ease of Use (24%) and Factor 3 – Trialability (22%). Adopters perceived greater Relative Advantage [mean (SD)] = 3.8 (0.71)<jats:italic>versus</jats:italic>3.2 (0.89),<jats:italic>p</jats:italic>&lt; 0.001, Ease of Use = 4.1 (0.71)<jats:italic>versus</jats:italic>3.3 (0.95),<jats:italic>p</jats:italic>&lt; 0.001 and Trialability = 4.0 (0.57)<jats:italic>versus</jats:italic>3.4 (0.99),<jats:italic>p</jats:italic>&lt; 0.001 than non-adopters. In multivariate modelling, age [OR = 3.75, 95% CI: (2.17, 6.46),<jats:italic>p</jats:italic>&lt; 0.001] and income [OR = 1.87, 95% CI: (1.17, 3.00),<jats:italic>p</jats:italic>&lt; 0.01] predicted adoption of the portal. Among DOI factors, Relative advantage predicted adoption of the portal [OR = 1.48, 95% CI: (1.03, 2.11),<jats:italic>p</jats:italic>&lt; 0.05].</jats:p></jats:sec><jats:sec><jats:title>Conclusion</jats:title><jats:p>Patients will adopt a patient portal if they perceive it to offer a relative advantage over existing practices such as telephoning or visiting the doctor’s office. Organisations seeking to increase the adoption of patient portals should implement strategies to promote the relative advantage of portals as, for example, through posters in waiting and exam rooms. A digital divide in the adoption of patient portals may exist with respect to age and income.</jats:p></jats:sec>
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author Emani, Srinivas, Peters, Ellen, Desai, Sonali, Karson, Andrew S., Lipsitz, Stuart R., LaRocca, Rajani, Stone, John, Suric, Vlad, Wald, Jonathan S., Wheeler, Amy, Williams, Deborah H., Bates, David W.
author_facet Emani, Srinivas, Peters, Ellen, Desai, Sonali, Karson, Andrew S., Lipsitz, Stuart R., LaRocca, Rajani, Stone, John, Suric, Vlad, Wald, Jonathan S., Wheeler, Amy, Williams, Deborah H., Bates, David W., Emani, Srinivas, Peters, Ellen, Desai, Sonali, Karson, Andrew S., Lipsitz, Stuart R., LaRocca, Rajani, Stone, John, Suric, Vlad, Wald, Jonathan S., Wheeler, Amy, Williams, Deborah H., Bates, David W.
author_sort emani, srinivas
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description <jats:sec><jats:title>Background</jats:title><jats:p>Patient portals have emerged as an important tool through which patients can access online health information and engage in their health care. However, we know little about how patients perceive portals and whether patient perceptions might influence portal adoption.</jats:p></jats:sec><jats:sec><jats:title>Objective</jats:title><jats:p>Apply the diffusion of innovation (DOI) theory to assess perceptions of adopters and non-adopters of a patient portal.</jats:p></jats:sec><jats:sec sec-type="methods"><jats:title>Methods</jats:title><jats:p>We conducted a cross-sectional survey of adopters and non-adopters of the portal. Our survey consisted of perceived attributes from the DOI theory, socio-demographic characteristics and patient perceptions of technology adoption.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>Three factors representing perceived attributes from DOI theory accounted for 73% of the variance in the data: Factor 1 – Relative Advantage (27%); Factor 2 – Ease of Use (24%) and Factor 3 – Trialability (22%). Adopters perceived greater Relative Advantage [mean (SD)] = 3.8 (0.71)<jats:italic>versus</jats:italic>3.2 (0.89),<jats:italic>p</jats:italic>&lt; 0.001, Ease of Use = 4.1 (0.71)<jats:italic>versus</jats:italic>3.3 (0.95),<jats:italic>p</jats:italic>&lt; 0.001 and Trialability = 4.0 (0.57)<jats:italic>versus</jats:italic>3.4 (0.99),<jats:italic>p</jats:italic>&lt; 0.001 than non-adopters. In multivariate modelling, age [OR = 3.75, 95% CI: (2.17, 6.46),<jats:italic>p</jats:italic>&lt; 0.001] and income [OR = 1.87, 95% CI: (1.17, 3.00),<jats:italic>p</jats:italic>&lt; 0.01] predicted adoption of the portal. Among DOI factors, Relative advantage predicted adoption of the portal [OR = 1.48, 95% CI: (1.03, 2.11),<jats:italic>p</jats:italic>&lt; 0.05].</jats:p></jats:sec><jats:sec><jats:title>Conclusion</jats:title><jats:p>Patients will adopt a patient portal if they perceive it to offer a relative advantage over existing practices such as telephoning or visiting the doctor’s office. Organisations seeking to increase the adoption of patient portals should implement strategies to promote the relative advantage of portals as, for example, through posters in waiting and exam rooms. A digital divide in the adoption of patient portals may exist with respect to age and income.</jats:p></jats:sec>
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spelling Emani, Srinivas Peters, Ellen Desai, Sonali Karson, Andrew S. Lipsitz, Stuart R. LaRocca, Rajani Stone, John Suric, Vlad Wald, Jonathan S. Wheeler, Amy Williams, Deborah H. Bates, David W. 2632-1009 BMJ Health Information Management Health Informatics Computer Science Applications http://dx.doi.org/10.14236/jhi.v25i3.991 <jats:sec><jats:title>Background</jats:title><jats:p>Patient portals have emerged as an important tool through which patients can access online health information and engage in their health care. However, we know little about how patients perceive portals and whether patient perceptions might influence portal adoption.</jats:p></jats:sec><jats:sec><jats:title>Objective</jats:title><jats:p>Apply the diffusion of innovation (DOI) theory to assess perceptions of adopters and non-adopters of a patient portal.</jats:p></jats:sec><jats:sec sec-type="methods"><jats:title>Methods</jats:title><jats:p>We conducted a cross-sectional survey of adopters and non-adopters of the portal. Our survey consisted of perceived attributes from the DOI theory, socio-demographic characteristics and patient perceptions of technology adoption.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>Three factors representing perceived attributes from DOI theory accounted for 73% of the variance in the data: Factor 1 – Relative Advantage (27%); Factor 2 – Ease of Use (24%) and Factor 3 – Trialability (22%). Adopters perceived greater Relative Advantage [mean (SD)] = 3.8 (0.71)<jats:italic>versus</jats:italic>3.2 (0.89),<jats:italic>p</jats:italic>&lt; 0.001, Ease of Use = 4.1 (0.71)<jats:italic>versus</jats:italic>3.3 (0.95),<jats:italic>p</jats:italic>&lt; 0.001 and Trialability = 4.0 (0.57)<jats:italic>versus</jats:italic>3.4 (0.99),<jats:italic>p</jats:italic>&lt; 0.001 than non-adopters. In multivariate modelling, age [OR = 3.75, 95% CI: (2.17, 6.46),<jats:italic>p</jats:italic>&lt; 0.001] and income [OR = 1.87, 95% CI: (1.17, 3.00),<jats:italic>p</jats:italic>&lt; 0.01] predicted adoption of the portal. Among DOI factors, Relative advantage predicted adoption of the portal [OR = 1.48, 95% CI: (1.03, 2.11),<jats:italic>p</jats:italic>&lt; 0.05].</jats:p></jats:sec><jats:sec><jats:title>Conclusion</jats:title><jats:p>Patients will adopt a patient portal if they perceive it to offer a relative advantage over existing practices such as telephoning or visiting the doctor’s office. Organisations seeking to increase the adoption of patient portals should implement strategies to promote the relative advantage of portals as, for example, through posters in waiting and exam rooms. A digital divide in the adoption of patient portals may exist with respect to age and income.</jats:p></jats:sec> Perceptions of adopters versus non-adopters of a patient portal: an application of diffusion of innovation theory BMJ Health & Care Informatics
spellingShingle Emani, Srinivas, Peters, Ellen, Desai, Sonali, Karson, Andrew S., Lipsitz, Stuart R., LaRocca, Rajani, Stone, John, Suric, Vlad, Wald, Jonathan S., Wheeler, Amy, Williams, Deborah H., Bates, David W., BMJ Health & Care Informatics, Perceptions of adopters versus non-adopters of a patient portal: an application of diffusion of innovation theory, Health Information Management, Health Informatics, Computer Science Applications
title Perceptions of adopters versus non-adopters of a patient portal: an application of diffusion of innovation theory
title_full Perceptions of adopters versus non-adopters of a patient portal: an application of diffusion of innovation theory
title_fullStr Perceptions of adopters versus non-adopters of a patient portal: an application of diffusion of innovation theory
title_full_unstemmed Perceptions of adopters versus non-adopters of a patient portal: an application of diffusion of innovation theory
title_short Perceptions of adopters versus non-adopters of a patient portal: an application of diffusion of innovation theory
title_sort perceptions of adopters versus non-adopters of a patient portal: an application of diffusion of innovation theory
title_unstemmed Perceptions of adopters versus non-adopters of a patient portal: an application of diffusion of innovation theory
topic Health Information Management, Health Informatics, Computer Science Applications
url http://dx.doi.org/10.14236/jhi.v25i3.991