Using Telehealth for Assessment of Fetal Alcohol Spectrum Disorder: The Experience of Two Canadian Rural and Remote Communities
Bibliographic record
Abstract
A well-established program in Manitoba to evaluate fetal alcohol spectrum disorder (FASD) by telemedicine was carefully reviewed for qualitative effectiveness in a 2009 survey in two rural and remote northern Manitoban communities by comparing community practices from the perspective of professionals working with the FASD diagnostic clinics in these communities. Participants regarded the FASD telehealth program as successful and useful, especially given the remote location of the communities and the lack of on-site services. Recommendations addressing the barriers pertaining to the process were made from the study's findings and available scientific literature. Intoduction:Telehealth has been used for fetal alcohol spectrum disorder (FASD) diagnostic assessment in select Manitoban communities since 2000.Objective:The purpose of this study was to evaluate the FASD telehealth program within two rural and remote Northern Manitoban communities by comparing community practices from the perspective of professionals working with the FASD diagnostic clinics in these communities. Recommendations for the further development of FASD assessment by telehealth were made to further improve current implementation and guide expansion of the FASD telehealth program within the province.Methodology:Semistructured interviews were conducted from October 19 to December 11, 2009. Participants (N = 26) were comprised of professionals, including those in the education, social services, and health sectors.Results and Recommendations:Two themes emerged from the data and covered the perceived strengths and drawbacks with the program, and meaningful suggestions to improve the service. Participants regarded the FASD telehealth program as successful and useful, especially given the remote location of the communities and the lack of on-site services. Recommendations addressing the barriers pertaining to the process were made from the study's findings and available scientific literature.Conclusions:This study will provide a solid basis for the successful further development of the FASD telehealth programs.
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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 | 0.002 | 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".