“Giving Voice”: Evaluation of an Integrated Telehealth Community Care Model by Parents/Guardians of Children Diagnosed with Fetal Alcohol Spectrum Disorder in Manitoba
Bibliographic record
Abstract
BACKGROUND: In 2000, Manitoba began utilizing telehealth services for the assessment, diagnosis and follow-up of fetal alcohol spectrum disorders (FASDs). Since that time, the use of telehealth in Manitoba has expanded to the delivery of education and support to families caring for children with FASD in rural and remote areas of the province. The purpose of this study was to expand on a previous evaluation through a focus on the participant experience. Our objectives were thus to explore the experience of families with the telehealth process and to examine the use of telehealth in diagnostic assessment as well as follow-up post-clinical assessment. MATERIALS AND METHODS: Sixteen semistructured interviews were conducted with families who had participated in at least one diagnostic assessment and/or individual or group follow-up via telehealth offered through the Manitoba FASD Centre. RESULTS: The majority of participants reported being happy with their experience(s) using telehealth for assessment, diagnosis, and/or follow-up support. Two general themes emerged from the data. The first theme is focused on the value of telehealth use for families with children living with FASD, whereas the second theme presents various needs of this client group. CONCLUSIONS: This study provides support for the use of telehealth as an effective technology beyond diagnosis for individuals with FASD and their families. Families support the utilization of this technology and, despite its minor shortcomings, appreciate the flexibility of telehealth, which allows them to remain in their home communities, connected to their families and support systems.
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 | 0.005 | 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 | 0.001 |
| 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".