An analysis of patient portal utilization: what can we learn about online patient behavior by examining portal click data?

Tulu, Bengisu; Trapp, Andrew C.; Strong, Diane M.; Johnson, Sharon A.; Hoque, Muyeedul; Trudel, John D.; Garber, Lawrence

doi:10.1057/hs.2015.5

Cited by 13 publications

(21 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Electronic personal health records (ePHRs) refer to secure Web-based tools that enable individuals to access and manage their medical records and share them with trusted others [1]. More advanced ePHRs provide additional functionalities, such as scheduling appointments, requesting prescription refills, messaging providers, requesting referrals, and educational tools [2-4]. Benefits of using ePHRs include the following: enhancing patient empowerment [5,6], improving patient self-management and medication adherence [7,8], enhancing the relationships and communications between patients and health care providers [9,10], enabling patients to easily access health services [11,12], avoiding duplicated tests [9,11], and reducing adverse drug interactions and allergies [9,11,13].…”

Section: Introductionmentioning

confidence: 99%

Factors Affecting Patients’ Use of Electronic Personal Health Records in England: Cross-Sectional Study

Abd‐Alrazaq¹,

Bewick²,

Farragher³

et al. 2019

J Med Internet Res

View full text Add to dashboard Cite

BackgroundElectronic 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.ObjectiveThis study aimed to examine factors associated with patients’ use of ePHRs in England.MethodsThe 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.ResultsOf 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.ConclusionsThis 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.

show abstract

Section: Introductionmentioning

confidence: 99%

Factors Affecting Patients’ Use of Electronic Personal Health Records in England: Cross-Sectional Study

Abd‐Alrazaq¹,

Bewick²,

Farragher³

et al. 2019

J Med Internet Res

View full text Add to dashboard Cite

show abstract

“…The health record function provides patients options to view clinical documents that can be retrieved from health providers’ EHR [ 22 , 23 , 34 ]. This information can include problem lists [ 22 , 24 - 29 , 45 , 56 , 67 - 71 ], allergies [ 22 , 25 - 28 , 30 - 33 , 35 - 39 , 56 , 67 - 70 ], immunization [ 22 , 26 - 28 , 30 , 32 - 35 , 40 - 42 , 56 , 68 - 71 ], laboratory and test results [ 22 , 24 , 26 - 30 , 33 , 36 , 37 , 40 , 42 - 61 , 67 - 71 ], diagnostic information [ 32 , 37 , 44 , 45 , 62 ], discharge information [ 31 , 34 , 63 ], and clinical notes [ 24 , 30 , 33 , 42 , 50 , 61 , 64 , 67 , 69 ]. Figure 3 shows an example of test results in PittPHR [ 33 ].…”

Section: Resultsmentioning

confidence: 99%

“…Health record [22,25,26,30,31,34,39,42,[44][45][46]55,59,66,68,70,[72][73][74][75][76][77][78] Allows patients to manage personal information and view information related to health providers and insurance.…”

Section: References Description Functionmentioning

confidence: 99%

“…The health record function provides patients options to view clinical documents that can be retrieved from health providers' EHR [22,23,34]. This information can include problem lists [22,[24][25][26][27][28][29]45,56,[67][68][69][70][71], allergies [22,25-28,30-33,35-39, 56,67-70], immunization [22,26-28,30,32-35, 40-42,56,68-71], laboratory and test results [22,24,[26][27][28][29][30]33,36,37,40,[42][43][44][45][46][47][48][49][50][51][52][53][54][55][56][57][58][59][60][61]…”

Section: Health Recordmentioning

confidence: 99%

“…Patients can also view hospital information, such as location, contact info, address, navigation [70]. Patients can also view and pay bill [42,55,77] and get insurance-related information [22,30,34,45,66]. This data can be retrieved from the regional health care information system [34].…”

Section: Administrative Recordmentioning

confidence: 99%

See 2 more Smart Citations

Functionalities and Issues in the Implementation of Personal Health Records: Systematic Review

Harahap¹,

Handayani²,

Hidayanto³

2021

J Med Internet Res

View full text Add to dashboard Cite

Background Functionalities of personal health record (PHR) are evolving, and continued discussions about PHR functionalities need to be performed to keep it up-to-date. Technological issues such as nonfunctional requirements should also be discussed in the implementation of PHR. Objective This study systematically reviewed the main functionalities and issues in implementing the PHR. Methods This systematic review was conducted using Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines. The search is performed using the online databases Scopus, ScienceDirect, IEEE, MEDLINE, CINAHL, and PubMed for English journal articles and conference proceedings published between 2015 and 2020. Results A total of 105 articles were selected in the review. Seven function categories were identified in this review, which is grouped into basic and advanced functions. Health records and administrative records were grouped into basic functions. Medication management, communication, appointment management, education, and self-health monitoring were grouped into advanced functions. The issues found in this study include interoperability, security and privacy, usability, data quality, and personalization. Conclusions In addition to PHR basic and advanced functions, other supporting functionalities may also need to be developed based on the issues identified in this study. This paper provides an integrated PHR architectural model that describes the functional requirements and data sources of PHRs.

show abstract

Private Health Record System: Improving the Patient’s Medical Knowledge with an e-Learning Approach

Azadi

García-Peñalvo

2023

Lecture Notes in Educational Technology

View full text Add to dashboard Cite

An analysis of patient portal utilization: what can we learn about online patient behavior by examining portal click data?

Cited by 13 publications

References 26 publications

Factors Affecting Patients’ Use of Electronic Personal Health Records in England: Cross-Sectional Study

Factors Affecting Patients’ Use of Electronic Personal Health Records in England: Cross-Sectional Study

Functionalities and Issues in the Implementation of Personal Health Records: Systematic Review

Private Health Record System: Improving the Patient’s Medical Knowledge with an e-Learning Approach

Contact Info

Product

Resources

About