Examining perceptions of a telemedicine network for pediatric emergency medicine: a mixed-methods pilot study
Bibliographic record
Abstract
Abstract Background: Use of telemedicine for healthcare delivery in the emergency department has the ability to increase access to specialized care for pediatric patients without direct access to a children’s hospital. Currently telemedicine is underused in this setting. This research aimed to evaluate the perceived effectiveness of a telemedicine program in delivering care to critically ill pediatric patients in the emergency department by exploring the experiences of parents/caregivers and physicians. Methods: Sequential explanatory mixed methods were employed, in which quantitative methods of inquiry were followed by qualitative methods. Data was collected through a post-used survey for physicians that engaged with the program, followed by semi-structured interviews with physicians and parents/guardians of children treated through the program. Descriptive statistics were used to analyze the survey data and reflexive thematic analysis was used to analyze interview data. Results: The findings describe positive perceptions of telemedicine for emergency department pediatric care, as well as barriers and facilitators to its use. Among parents/caregivers themes were: Confident in the Care Environment, Forever Grateful, The Way of the Future, The Experience of Being Transferred, and Trouble Connecting. Among physicians themes were: Support and Validation, Team Effort, Providing Visual Perspective, Institutional Understanding, and Communicating Expectations. The research also discusses implications for practice and policy, with recommendations for overcoming barriers and leveraging facilitators when implementing telemedicine programming. Conclusion: The findings strongly suggest that a telemedicine program has high utility and acceptance among parents/caregivers and physicians for the treatment of critically ill pediatric patients in the emergency department. When faced with the use of the program, neither physicians nor parents/caregivers expressed concerns or hesitation about the care being delivered. Following experience with the program, the benefits were rapidly recognized and highly valued by both parents/caregivers and physicians, including rapid connection to sub-specialized care and enhanced communication between remote and local physicians. Trial Registration: Not Applicable
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.016 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".