Patients and families experiences with video telehealth in rural/remote communities in Northern Canada
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
AIM: To explore patients' and families' experiences with video telehealth consultations as a method of health care delivery in rural/ remote communities in Northern Canada. BACKGROUND: Accessing health services in isolated populations where human resources and infrastructure are constrained by vast geographical landmasses poses challenges and opportunities for nurses, health care providers, patients and families. DESIGN: A qualitative approach was adopted with a purposeful sample of 10 patients and four family members representative of nine communities. METHOD: Selection criteria included patients receiving telehealth visits for a minimum of a year and willing to share their experiences. Data were collected during the winter of 2006 using semi-structured video taped interviews and analysed using a qualitative thematic content analysis. RESULTS: Patients and families experiences of their telehealth visits centered on three key themes: lessening the burden (costs of travel, accommodations, lost wages, lost time and physical limitations), maximising supports (access to family, friends, familiar home environment, nurses and other care providers), tailoring specific e-health systems to enhance patient and family needs. CONCLUSION: The benefits of telehealth extend not only to patients and families but are linked to benefits for providers as well as the health care system. RELEVANCE TO CLINICAL PRACTICE: This study indicates that video telehealth is an effective mechanism for delivering nursing and other health services to rural/remote communities and can impact positively on the quality of health care. The integration of telehealth practice can enhance the coordination, organisation and implementation of health care services.
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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 | 0.000 |
| 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 it