Multiple Sclerosis Patients' Interest in and Likelihood of Using Online Health-Care Services
Bibliographic record
Abstract
Multiple sclerosis (MS) patients are known to have high rates of Internet use. Thus they are likely to be receptive to and benefit from online communications with health-care providers. Although a few well-known MS clinics have implemented online health-care services for this patient group, little is known about the types of online communications that would be most beneficial to patients and the likelihood that patients would actually use these services. The aim of this study was to explore MS patients' satisfaction with traditional modes of communication with health-care providers, their interest in having access to different types of online health-care services, and their likelihood of using such services. A self-report questionnaire was developed and distributed to 263 MS patients diagnosed with clinically definite MS at our tertiary-care center. Although the vast majority of patients were satisfied with the frequency of their clinic visits, patients who called the clinic more frequently reported lower levels of satisfaction with clinic access than those who called less often. Over 73% of patients reported a high level of interest in having access to online health-care services, and over 80% of patients surveyed reported a high likelihood of using these services. Patients who reported the greatest likelihood of using online health-care services included those who surf the Internet more than 5 hours per week, who have sought health information online in the past year, and who perceive themselves as having high Internet navigational skills. The study findings highlight the importance of developing online health-care services for this cohort of patients.
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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) | 0.000 | 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 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".