Opioid use disorder patients’ perceptions of healthcare delivery platforms
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
OBJECTIVES: To assess the acceptability and quality of web-based videoconferencing telemedicine consultation platform in the treatment of opioid use disorder at TrueNorth Medical Centre. METHODS: We conducted an interview based quality improvement initiative using an investigator-designed questionnaire. The questionnaire consisted of 17 Agree/Disagree questions, measured on a 7-point Likert scale and 2 questions where patients had the ability to elaborate qualitatively on their perceptions and experiences with their telemedicine service. Content-style analysis was performed on qualitative responses. RESULTS: The majority of patients (n=14; 47%) preferred face-to-face over telemedicine consultations. The number of patients that preferred telemedicine consultations over face-to-face consultations was lower (n=6; 20%). A notable number of patients (n=10; 33%) indicated no specific preference for either telemedicine or face-to-face consultations. Patients preferring face-to-face consultations rated their clinical outcome and patient-physician relationship following telemedicine consultations similarly as those who preferred telemedicine consultations. Patients preferring telemedicine rated their experience and overall perceptions of the service significantly higher than those preferring face-to-face consultations. Patients who preferred telemedicine consultations identified the efficient and timesaving nature of telemedicine consultations as primary advantages whereas those preferring face-to-face consultations reported lower levels of empathy from their physician during telemedicine consultations as a major disadvantage. CONCLUSIONS: The majority of patients at TrueNorth Medical Centre viewed telemedicine consultations as an acceptable treatment modality. Patients preferring telemedicine consultations and those preferring face-to-face consultations evaluated the majority of the measured indices of care in a similar fashion.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.004 | 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