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Consumer Adoption of Personal Health Records

dc.contributor.authorMajedi, Armin
dc.contributor.supervisorRuhi, Umar
dc.date.accessioned2014-07-02T13:22:47Z
dc.date.available2014-07-02T13:22:47Z
dc.date.created2014
dc.date.issued2014
dc.degree.disciplineGénie / Engineering
dc.degree.levelmasters
dc.degree.nameMSc
dc.description.abstractHealth information technology (HIT) aims to improve healthcare services by means of technological tools. Patient centered technologies such as personal health records are relatively new HIT tools that enable individuals to get involved in their health management activities. These tools enable the transformation of health consumer behavior from one of passive health information consumers to that of active managers of their health information. This new role is more interactive and engaged, and with such tools, patients can better navigate their lives, and exercise more control over their treatments, hence potentially also leading to improvement in the quality of health services. Despite the benefits of using personal health record systems for health consumers, the adoption rate of these systems remains low. Many free and paid services have not received the uptake that had been anticipated when these services were first introduced. This study investigates some factors that affect the adoption of these systems, and may shed light on some potential reasons for low adoption rates. In developing the theoretical model of this study, social cognitive theory (SCT) and technology acceptance model (TAM) were utilized. The theoretical model was validated through a quantitative survey-based methodology, and the results were derived using structural equation modeling techniques. The key findings of this study highlight the role of individual and environmental factors as determinants of end-user behavior in the adoption of personal health records. The results show that in addition to perceptions of usefulness and ease of use, factors such as social norms and technology awareness are also significantly associated with various factors that directly and indirectly affect intention to use PHRs Based on the results obtained in this study, recommendations are offered for technology providers, and possible directions are proposed for academic researchers.
dc.embargo.termsimmediate
dc.faculty.departmentTechnologie des affaires électroniques / E-Business Technologies
dc.identifier.urihttp://hdl.handle.net/10393/31232
dc.identifier.urihttp://dx.doi.org/10.20381/ruor-3810
dc.language.isoen
dc.publisherUniversité d'Ottawa / University of Ottawa
dc.subjectPersoanl Health Records
dc.subjectPHR
dc.subjectAdoption
dc.subjectAcceptance
dc.subjectHealth Information Technology
dc.subjectConsumer Health Informatics
dc.subjectPositive Technologies
dc.subjectHIT
dc.subjectCHI
dc.subjectTechnology Acceptance Model
dc.subjectSocial Cognitive Theory
dc.subjectTAM
dc.subjectSCT
dc.subjectEmpirical
dc.subjectQuantitative
dc.titleConsumer Adoption of Personal Health Records
dc.typeThesis
thesis.degree.disciplineGénie / Engineering
thesis.degree.levelMasters
thesis.degree.nameMSc
uottawa.departmentTechnologie des affaires électroniques / E-Business Technologies

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