Young adults on the perceived benefits and expected use of personal health records: a qualitative descriptive study
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Personal health records (PHRs) are tools that allow individuals to access, share and manage their health information online. Despite apparent interest, adoption rates remain low. There is a gap in our understanding as to what different populations of users, in particular young adults, might want from such a tool. OBJECTIVE: To describe and interpret the views and expectations of young healthy adults about using an online PHR. METHODS: A qualitative descriptive study was carried out. Four focus groups were conducted with a total of 29 participants (18-34 years old) from a community setting in Montreal, Canada. Interviews were transcribed and analyzed with inductivethematic analysis. RESULTS: With respect to how young adults viewed PHRs, three broad themes were identified: perceived advantages to using a PHR, future PHR users and concerns about PHRs. Three other overarching themes emerged from data analysis in terms of what participants expected from using a PHR: the use of the PHR for preventative health, PHR support to take more control over their health and strategies to make the PHR worthwhile. A conceptual framework of factors influencing expectations of PHR use in this population is proposed. CONCLUSIONS: While young adults view the PHR as beneficial, this is not enough for them to be motivated to actually use a PHR. To foster use, the PHRs need to be perceived as a health prevention tool that helps users to increase control over theirhealth status. More research is needed to understand the expectations and anticipated use of different populations in designing a person-centered tool;the proposedframework provides theoretical basis in this regard.
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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 | 0.019 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it