Family physicians’ perspectives on personal health records
Bibliographic record
Abstract
Objective To explore FPs’ perspectives on the value of personal health records (PHRs) in primary care and the implementation and adoption of PHRs in Canada. Design A qualitative design using semistructured interviews. Setting Southwestern Ontario. Participants Ten FPs. Methods The 10 FPs participated in semistructured interviews, which were audiotaped and transcribed verbatim. An iterative approach using immersion and crystallization was employed for analysis. Main findings Participants were generally positive about PHRs, and were attracted to their portability and potential to engage patients in health care. Their concerns focused on 3 main themes: data management, practice management, and the patient-physician relationship. Subthemes included security, privacy, reliability of data, workload, remuneration, physician obligations, patient misinterpretation of medical information, and electronic communication displacing face-to-face visits. Participants identified 3 key facilitators for adoption of PHR systems: integration with existing electronic health record systems, ease of use without being a burden on either time or money, and offering a demonstrated added value to family practice. Conclusion This study replicates previously published literature about FP concerns and opinions, and it further identifies remuneration as a potential barrier in Canadian fee-for-service payment models. Participants identified 3 key facilitators, which were suggested for implementation and adoption of PHRs, providing a basis for future research and development of these systems for use in Canadian family practice.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.004 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".