Understanding the Interaction of Patient Members of the Online Health Community and Its Impact on the Patient-Physician Relationship
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
This research investigates the emerging field of digitalized health and particularly of the virtual healthcare communities. The goal is this research is to study the causal relationships between credibility and attitude towards virtual health communities as well as trust and attitude towards the physician. An online questionnaire was developed and disseminated to patients and users of medical virtual communities. Confirmatory analyses for structural equations were conducted via SPSS and AMOS. Results show that interpersonal trust coming from virtual health communities has a positive relation with credibility and attitude regarding virtual communities. Interpersonal trust has, also, a positive relation with the attitude regarding the doctor. The credibility of the virtual health communities exhibits a positive relation with attitude towards the platform. However, the relation is negative between credibility and attitude regarding the doctor. Finally, the attitude regarding the doctor exhibits a positive relation with trust in the doctor. This study is the first to measure the relationship between credibility, trust and attitude. Moreover, it facilitates better consideration of the role of users of virtual communities of health and doctors, thereby improving the attitude of patients toward doctors.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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