Factors Affecting Patients’ Use of Electronic Personal Health Records in England: Cross-Sectional Study
<h3>Background</h3><p dir="ltr">Electronic personal health records (ePHRs) are secure Web-based tools that enable individuals to access, manage, and share their medical records. England recently introduced a nationwide ePHR called Patient Online. As with ePHRs in other co...
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2019
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| _version_ | 1864513513973612544 |
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| author | Alaa Abd-Alrazaq (17430900) |
| author2 | Bridgette M Bewick (18102667) Tracey Farragher (310368) Peter Gardner (236730) |
| author2_role | author author author |
| author_facet | Alaa Abd-Alrazaq (17430900) Bridgette M Bewick (18102667) Tracey Farragher (310368) Peter Gardner (236730) |
| author_role | author |
| dc.creator.none.fl_str_mv | Alaa Abd-Alrazaq (17430900) Bridgette M Bewick (18102667) Tracey Farragher (310368) Peter Gardner (236730) |
| dc.date.none.fl_str_mv | 2019-07-31T03:00:00Z |
| dc.identifier.none.fl_str_mv | 10.2196/12373 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Factors_Affecting_Patients_Use_of_Electronic_Personal_Health_Records_in_England_Cross-Sectional_Study/25907254 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Health sciences Health services and systems health records, personal patient portal electronic personal health records technology acceptance technology adoption intention unified theory of acceptance and use of technology structural equation modelling |
| dc.title.none.fl_str_mv | Factors Affecting Patients’ Use of Electronic Personal Health Records in England: Cross-Sectional Study |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <h3>Background</h3><p dir="ltr">Electronic personal health records (ePHRs) are secure Web-based tools that enable individuals to access, manage, and share their medical records. England recently introduced a nationwide ePHR called Patient Online. As with ePHRs in other countries, adoption rates of Patient Online remain low. Understanding factors affecting patients’ ePHR use is important to increase adoption rates and improve the implementation success of ePHRs.</p><h3>Objective</h3><p dir="ltr">This study aimed to examine factors associated with patients’ use of ePHRs in England.</p><h3>Methods</h3><p dir="ltr">The unified theory of acceptance and use of technology was adapted to the use of ePHRs. To empirically examine the adapted model, a cross-sectional survey of a convenience sample was carried out in 4 general practices in West Yorkshire, England. Factors associated with the use of ePHRs were explored using structural equation modeling.</p><h3>Results</h3><p dir="ltr">Of 800 eligible patients invited to take part in the survey, 624 (78.0%) returned a valid questionnaire. Behavioral intention (BI) was significantly influenced by performance expectancy (PE; beta=.57, P<.001), effort expectancy (EE; beta=.16, P<.001), and perceived privacy and security (PPS; beta=.24, P<.001). The path from social influence to BI was not significant (beta=.03, P=.18). Facilitating conditions (FC) and BI significantly influenced use behavior (UB; beta=.25, P<.001 and beta=.53, P<.001, respectively). PE significantly mediated the effect of EE and PPS on BI (beta=.19, P<.001 and beta=.28, P=.001, respectively). Age significantly moderated 3 paths: PE→BI, EE→BI, and FC→UB. Sex significantly moderated only the relationship between PE and BI. A total of 2 paths were significantly moderated by education and internet access: EE→BI and FC→UB. Income moderated the relationship between FC and UB. The adapted model accounted for 51% of the variance in PE, 76% of the variance in BI, and 48% of the variance in UB.</p><h3>Conclusions</h3><p dir="ltr">This study identified the main factors that affect patients’ use of ePHRs in England, which should be taken into account for the successful implementation of these systems. For example, developers of ePHRs should involve patients in the process of designing the system to consider functions and features that fit patients’ preferences and skills to ensure systems are useful and easy to use. The proposed model accounted for 48% of the variance in UB, indicating the existence of other, as yet unidentified, factors that influence the adoption of ePHRs. Future studies should confirm the effect of the factors included in this model and identify additional factors.</p><h2>Other Information</h2><p dir="ltr">Published in: Journal of Medical Internet Research<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.2196/12373" target="_blank">https://dx.doi.org/10.2196/12373</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_b85b85ea2bbec16891460019268b7226 |
| identifier_str_mv | 10.2196/12373 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/25907254 |
| publishDate | 2019 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Factors Affecting Patients’ Use of Electronic Personal Health Records in England: Cross-Sectional StudyAlaa Abd-Alrazaq (17430900)Bridgette M Bewick (18102667)Tracey Farragher (310368)Peter Gardner (236730)Health sciencesHealth services and systemshealth records, personalpatient portalelectronic personal health recordstechnology acceptancetechnology adoptionintentionunified theory of acceptance and use of technologystructural equation modelling<h3>Background</h3><p dir="ltr">Electronic personal health records (ePHRs) are secure Web-based tools that enable individuals to access, manage, and share their medical records. England recently introduced a nationwide ePHR called Patient Online. As with ePHRs in other countries, adoption rates of Patient Online remain low. Understanding factors affecting patients’ ePHR use is important to increase adoption rates and improve the implementation success of ePHRs.</p><h3>Objective</h3><p dir="ltr">This study aimed to examine factors associated with patients’ use of ePHRs in England.</p><h3>Methods</h3><p dir="ltr">The unified theory of acceptance and use of technology was adapted to the use of ePHRs. To empirically examine the adapted model, a cross-sectional survey of a convenience sample was carried out in 4 general practices in West Yorkshire, England. Factors associated with the use of ePHRs were explored using structural equation modeling.</p><h3>Results</h3><p dir="ltr">Of 800 eligible patients invited to take part in the survey, 624 (78.0%) returned a valid questionnaire. Behavioral intention (BI) was significantly influenced by performance expectancy (PE; beta=.57, P<.001), effort expectancy (EE; beta=.16, P<.001), and perceived privacy and security (PPS; beta=.24, P<.001). The path from social influence to BI was not significant (beta=.03, P=.18). Facilitating conditions (FC) and BI significantly influenced use behavior (UB; beta=.25, P<.001 and beta=.53, P<.001, respectively). PE significantly mediated the effect of EE and PPS on BI (beta=.19, P<.001 and beta=.28, P=.001, respectively). Age significantly moderated 3 paths: PE→BI, EE→BI, and FC→UB. Sex significantly moderated only the relationship between PE and BI. A total of 2 paths were significantly moderated by education and internet access: EE→BI and FC→UB. Income moderated the relationship between FC and UB. The adapted model accounted for 51% of the variance in PE, 76% of the variance in BI, and 48% of the variance in UB.</p><h3>Conclusions</h3><p dir="ltr">This study identified the main factors that affect patients’ use of ePHRs in England, which should be taken into account for the successful implementation of these systems. For example, developers of ePHRs should involve patients in the process of designing the system to consider functions and features that fit patients’ preferences and skills to ensure systems are useful and easy to use. The proposed model accounted for 48% of the variance in UB, indicating the existence of other, as yet unidentified, factors that influence the adoption of ePHRs. Future studies should confirm the effect of the factors included in this model and identify additional factors.</p><h2>Other Information</h2><p dir="ltr">Published in: Journal of Medical Internet Research<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.2196/12373" target="_blank">https://dx.doi.org/10.2196/12373</a></p>2019-07-31T03:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.2196/12373https://figshare.com/articles/journal_contribution/Factors_Affecting_Patients_Use_of_Electronic_Personal_Health_Records_in_England_Cross-Sectional_Study/25907254CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/259072542019-07-31T03:00:00Z |
| spellingShingle | Factors Affecting Patients’ Use of Electronic Personal Health Records in England: Cross-Sectional Study Alaa Abd-Alrazaq (17430900) Health sciences Health services and systems health records, personal patient portal electronic personal health records technology acceptance technology adoption intention unified theory of acceptance and use of technology structural equation modelling |
| status_str | publishedVersion |
| title | Factors Affecting Patients’ Use of Electronic Personal Health Records in England: Cross-Sectional Study |
| title_full | Factors Affecting Patients’ Use of Electronic Personal Health Records in England: Cross-Sectional Study |
| title_fullStr | Factors Affecting Patients’ Use of Electronic Personal Health Records in England: Cross-Sectional Study |
| title_full_unstemmed | Factors Affecting Patients’ Use of Electronic Personal Health Records in England: Cross-Sectional Study |
| title_short | Factors Affecting Patients’ Use of Electronic Personal Health Records in England: Cross-Sectional Study |
| title_sort | Factors Affecting Patients’ Use of Electronic Personal Health Records in England: Cross-Sectional Study |
| topic | Health sciences Health services and systems health records, personal patient portal electronic personal health records technology acceptance technology adoption intention unified theory of acceptance and use of technology structural equation modelling |