Personal health records: a scoping review
Open accessAbstract
Electronic personal health record systems (PHRs) support patient centered healthcare by making medical records and other relevant information accessible to patients, thus assisting patients in health self-management. We reviewed the literature on PHRs including design, functionality, implementation, applications, outcomes, and benefits. We found that, because primary care physicians play a key role in patient health, PHRs are likely to be linked to physician electronic medical record systems, so PHR adoption is dependent on growth in electronic medical record adoption. Many PHR systems are physician-oriented, and do not include patient-oriented functionalities. These must be provided to support self-management and disease prevention if improvements in health outcomes are to be expected. Differences in patient motivation to use PHRs exist, but an overall low adoption rate is to be expected, except for the disabled, chronically ill, or caregivers for the elderly. Finally, trials of PHR effectiveness and sustainability for patient self-management are needed.
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The creation of standards may facilitate the exchange of electronic health information between systems and organisations while maintaining data integrity.
“and facilitate the exchange of electronic health information between systems [16] and organisations while maintaining data integrity [49].”
From Factors that influence the implementation of e-health: a systematic review of systematic reviews (an update) (2016) · cites this paper as [16]
Implementation climate includes the compatibility or general fit between the e-health intervention and the organisation.
“Implementation climate includes the compatibility or general fit between the e-health intervention and the organisation [16, 23, 31, 33, 37, 46, 49, 59].”
From Factors that influence the implementation of e-health: a systematic review of systematic reviews (an update) (2016) · cites this paper as [16]
Many studies described a need for recognised standards for the provision of e-health systems.
“The need for recognised standards for the provision of e-health systems was described by many studies [16, 18, 20, 28, 33, 36, 48, 49, 51].”
From Factors that influence the implementation of e-health: a systematic review of systematic reviews (an update) (2016) · cites this paper as [16]
Education was reported to increase staff acceptance of e-health systems, including education around anticipated benefits and when those benefits could be expected.
“Education was reported to increase staff acceptance of e-health systems [16, 25, 41, 45] including education around anticipated benefits and when those benefits could be expected [54].”
From Factors that influence the implementation of e-health: a systematic review of systematic reviews (an update) (2016) · cites this paper as [16]
Alterations to workflows created by the introduction of e-health systems may disrupt established professional roles, responsibilities, and working styles.
“Alterations to workflows created by the introduction of e-health systems may also disrupt established professional roles, responsibilities [16, 20, 25, 36, 55] and working styles [18].”
From Factors that influence the implementation of e-health: a systematic review of systematic reviews (an update) (2016) · cites this paper as [16]
Access to appropriate, high-quality, well-funded, and easily available training was reported as a facilitator to implementation, whereas non-existent or inadequate training was reported as a barrier.
“Generally, access to appropriate, high-quality, well-funded, and easily available training was reported as a facilitator to implementation, whereas it was reported as a barrier when it was non-existent or existent but inadequate [15, 16, 18, 20, 23, 25, 28, 31, 37, 43, 45, 50, 51, 53–58].”
From Factors that influence the implementation of e-health: a systematic review of systematic reviews (an update) (2016) · cites this paper as [16]
The fit between e-health systems and workflows was discussed by the majority of studies.
“The fit between e-health systems and workflows in particular was discussed by the majority of studies [15, 16, 18, 21, 23, 25, 27, 28, 36, 40, 41, 43, 47–50, 52, 55–58].”
From Factors that influence the implementation of e-health: a systematic review of systematic reviews (an update) (2016) · cites this paper as [16]
Fears over loss of autonomy, concerns about liability, concerns over patient privacy and security being compromised, and perceived threats to patient and health professional relationships through the introduction of e-health systems were repeatedly reported as barriers to use.
“Specifically, fears over a loss of autonomy [16, 18, 27, 34, 37, 39, 43], concerns about liability [16, 18, 22, 37, 43, 51], concerns over patient privacy and security being compromised [16, 18, 20, 23, 24, 27, 28, 30, 31, 33, 39, 41, 43, 45, 47, 49, 51–53, 56, 57], and perceived threats to patient and health professional relationships [18, 25, 27, 28, 31, 34, 37–39, 41, 43, 54, 57] through the”
From Factors that influence the implementation of e-health: a systematic review of systematic reviews (an update) (2016) · cites this paper as [16]
Engagement of key stakeholders in the development and selection of e-health systems and in the planning and execution of implementation processes was important for implementation through fostering a sense of ownership, confidence, acceptance, enjoyment and self-pride towards the e-health system and increasing buy-in.
“Engagement of key stakeholders in the development and selection of e-health systems and in the planning and execution of implementation processes were important for implementation [16, 20, 28, 29, 34, 41, 44, 49–51, 53–56, 58] through fostering a sense of ownership [20, 44, 51], confidence [28], acceptance [34], enjoyment and self-pride [20] towards the e-health system and increasing buy-in [54].”
From Factors that influence the implementation of e-health: a systematic review of systematic reviews (an update) (2016) · cites this paper as [16]
Healthcare professionals' computer skills, abilities, and experience were cited by several studies as influencing implementation and acceptance of e-health systems.
“Healthcare professionals’ computer skills, abilities and experience were cited by several studies as influencing implementation and acceptance of e-health systems [16, 18, 25, 28, 34, 36, 37, 41, 43, 52, 57].”
From Factors that influence the implementation of e-health: a systematic review of systematic reviews (an update) (2016) · cites this paper as [16]
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- Authors
- Archer, N., Fevrier-Thomas, U., Lokker, C., McKibbon, K. A., & Straus, S. E.
- Affiliations
- McMaster University (CA)
- University of Toronto (CA)
- Corresponding author
- Archer, N
- Venue
- Journal of the American Medical Informatics Association
- Publisher
- Oxford University Press (OUP)
- Published
- 2011-07
- Volume
- 18
- Issue
- 4
- Pages
- 515-522
- ISSN
- 1067-5027 (ISSN-L)
- 1527-974X
- PMC
- PMC3128401
- OpenAlex
- W2144892760
- Cited by
- 573
- References
- 100
- Citations by year
- 2026: 9 · 2025: 18 · 2024: 16 · 2023: 22 · 2022: 37 · 2021: 42 · 2020: 36 · 2019: 47 · 2018: 62 · 2017: 51 · 2016: 43 · 2015: 59 · 2014: 52 · 2013: 47 · 2012: 31
- FWCI
- 6.44
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of the American Medical Informatics Association (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Canadian Institutes of Health Research
- Topics
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Health Sciences › Health Professions › General Health Professions › Health Literacy and Information Accessibility
- Keywords
- personal health records, patient-centered care, health self-management, electronic health records, patient motivation, chronic disease, caregivers, disabled patients, health outcomes
- MeSH terms
- Canada, Humans, Outcome and Process Assessment, Health Care, Patient Acceptance of Health Care, Practice Patterns, Physicians', United States, User-Computer Interface, Patient Satisfaction, Health Records, Personal, Electronic Health Records
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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