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dc.contributor.advisorEffken, Judith A.en_US
dc.contributor.authorLogue, Melanie D.
dc.creatorLogue, Melanie D.en_US
dc.date.accessioned2012-01-23T19:53:53Z
dc.date.available2012-01-23T19:53:53Z
dc.date.issued2011
dc.identifier.urihttp://hdl.handle.net/10150/204269
dc.description.abstractProblem statement: As a result of the aging population, the number of people living with chronic disease has increased to almost 50% (CDC, 2004). Two of the main goals in treating patients with chronic diseases are to provide seamless care from setting to setting and prevent disability in the older adult. Many have proposed the use of electronic personal health record systems (PHRs) in the self-management process, but adoption remains low. The purpose of this research was to validate and test an explanatory model of the barriers and facilitators to older adults' adoption of personal health records for self-managing chronic illnesses. The long range goal of the research is to use the explanatory model to develop interventions that will maximize the facilitators and minimize the barriers to adoption. Methods: A preliminary attempt to capture the essential barriers and facilitators that predict adoption of PHRs among older adults with chronic illness was synthesized from the literature. In Phase One of the study, the model was integrated from existing literature and validated using a Delphi method. In Phase Two of the study, the model was pilot tested and refined for future investigations. Findings: The results of this study validated the Personal Health Records Adoption Model (PHRAM) and a preliminary instrument that measured barriers and facilitators to the adoption of PHRs in older adults who are self managing chronic illness. Additional findings indicate that while seniors are seeking options to manage their health and have expressed an interest in using Internet-based PHRs, they may require assistance to gain access to PHRs. Implications: The potential for PHRs to increase patient autonomy and reduce for disability and the resulting negative health consequences needs further investigation as we move into the next era of healthcare delivery. The results of this study provided the foundation for continued theoretically-based research in this area.
dc.language.isoenen_US
dc.publisherThe University of Arizona.en_US
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en_US
dc.subjectChronic illnessen_US
dc.subjectOlder adultsen_US
dc.subjectPersonal health recordsen_US
dc.subjectSelf-managementen_US
dc.titleValidating and Testing A Model to Predict Adoption of Electronic Personal Health Record Systems in the Self-Management of Chronic Illness in the Older Adulten_US
dc.typetexten_US
dc.typeElectronic Dissertationen_US
dc.identifier.oclc752261408
thesis.degree.grantorUniversity of Arizonaen_US
thesis.degree.leveldoctoralen_US
dc.contributor.committeememberReed, Pamela G.en_US
dc.contributor.committeememberMurdaugh, Carolynen_US
dc.description.releaseEmbargo: Release after 4/23/2012en_US
dc.identifier.proquest11543
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.disciplineNursingen_US
thesis.degree.namePh.D.en_US
refterms.dateFOA2012-04-23T00:00:00Z
html.description.abstractProblem statement: As a result of the aging population, the number of people living with chronic disease has increased to almost 50% (CDC, 2004). Two of the main goals in treating patients with chronic diseases are to provide seamless care from setting to setting and prevent disability in the older adult. Many have proposed the use of electronic personal health record systems (PHRs) in the self-management process, but adoption remains low. The purpose of this research was to validate and test an explanatory model of the barriers and facilitators to older adults' adoption of personal health records for self-managing chronic illnesses. The long range goal of the research is to use the explanatory model to develop interventions that will maximize the facilitators and minimize the barriers to adoption. Methods: A preliminary attempt to capture the essential barriers and facilitators that predict adoption of PHRs among older adults with chronic illness was synthesized from the literature. In Phase One of the study, the model was integrated from existing literature and validated using a Delphi method. In Phase Two of the study, the model was pilot tested and refined for future investigations. Findings: The results of this study validated the Personal Health Records Adoption Model (PHRAM) and a preliminary instrument that measured barriers and facilitators to the adoption of PHRs in older adults who are self managing chronic illness. Additional findings indicate that while seniors are seeking options to manage their health and have expressed an interest in using Internet-based PHRs, they may require assistance to gain access to PHRs. Implications: The potential for PHRs to increase patient autonomy and reduce for disability and the resulting negative health consequences needs further investigation as we move into the next era of healthcare delivery. The results of this study provided the foundation for continued theoretically-based research in this area.


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