Telemedicine in addictions feasibility RCT – staff and patient qualitative satisfaction
Bibliographic record
Abstract
Aims Opioid dependence has high risks. Opioid substitution treatment (OST) improves outcomes. Addiction specialist prescribers prescribe OST and monitor safety, but nonattendance may lead to worse outcomes. Telemedicine can reduce travel and improve attendance at appointments. Before COVID-19, we started a telemedicine in addictions trial to see if this helped in addictions. We present the qualitative patient and staff experience results. Method Health Research Authority approval for randomized controlled feasibility trial of Telemedicine versus Face-to-Face (control) consultations at community addictions semirural service (2500km2) using a modified Hub-and-Spoke (outreach) model. Adult opioid dependent patients prescribed OST and attending outreach were recruited. Participants received two appointments in randomized group. Telemedicine was delivered using Skype-for-business videoconferencing. Patients attended outreach, saw keyworker for drug testing first, and telemedicine conducted via keyworker's laptop. Addiction prescribers located remotely at Hub. Post-trial research interview conducted assessing patient and staff experience of Telemedicine versus Face-to-Face consultations. Data transcribed, inputted to RedCap Cloud and free-text analysed using qualitative thematic analysis. Result Of fifty-nine patient participants, 58 completed a research interview. Patient participants reported similar levels of satisfaction between the Telemedicine and Face to Face groups. The themes generated in relation to Face-to-Face were no difference, easy, kind staff and liking being part of research. For Telemedicine, themes were less travel, good experience, easier to access, good communication, saves time and saves money. For instance, one patient stated ‘Clear, easy to access less travel’ and another patient stated ‘I struggle with travel. I found it easier’. Of 19 staff participant research interviews completed, Staff reported Good or Very Good experience with telemedicine which was equivalent for Face-to-Face consultations. Eleven staff had experience of telemedicine consultations during the trial. They reported similar themes to patients with telemedicine leading to less travel, beneficial to patient care, improves attendance and was innovative technology. One staff member reported satisfaction with telemedicine due to ‘Time, travel and money reduction’. When questioned on the downsides to telemedicine, technological issues were mainly related to connection issues and sound issues. Conclusion In the first known RCT of Telemedicine versus Face-to-Face consultations for patients with opioid dependence attending prescriber review, we found that both patients and staff were satisfied with telemedicine as compared to face-to-face consultations. Overall themes were reduced travel, saving time and more convenience. This will be very important given the impact of COVID-19 on access to addictions services. Financial Sponsorship East Riding CCG Academic Health Science Network
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.001 | 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 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".