Core outcomes for speech-language services in Ontario schools: a group concept mapping study and guiding framework
Bibliographic record
Abstract
BACKGROUND: Establishing the most important outcomes for school-based speech-language therapy is essential to guide future research and program evaluation for these services. Many health disciplines have developed core outcomes sets (COS) for this purpose. A COS encompasses the most important outcomes for particular health services as identified by appropriate interested parties. These interested parties usually represent health care providers and those with the health condition. In this paper, we report the development of a guiding framework for a COS for speech-language therapy services in schools in a Canadian context. METHODS: Using a group concept mapping method, we identified the outcomes for inclusion in the COS guiding framework through the elicited opinions of key interested parties: speech-language therapists, teachers, and family members of children with speech, language, and communication needs. We extracted 103 statements (potential outcomes) from a previous data set of interview transcripts. We then asked participants to sort the statements into conceptually similar groups, which were aggregated and transformed into a cluster map using multidimensional scaling followed by hierarchical cluster analysis. Participants also rated each statement on 5-point scales for importance and feasibility. We calculated mean ratings for individual statements and for all statements in a cluster, for all participants and for participant groups separately. RESULTS: We identified seven core outcomes for school-based speech-language services in Ontario, Canada. These included: classroom-based services, a holistic approach, support for teachers, care coordination, accessible services, family supports, and student success. All outcomes were rated highly for importance. Feasibility ratings were consistently below importance ratings. All participant groups concurred that a holistic approach was the most important outcome and accessible services was the least feasible outcome to achieve. CONCLUSIONS: The seven outcomes identified in this study are recommended to guide the development of a full COS to direct future research and program evaluation for school-based speech-language services. These outcomes have not been widely included in previous research and should be incorporated into future research alongside specific intervention outcomes. Data for some outcomes may be available from non-traditional sources such as administrative data sets. Consequently, their use for program evaluations should be accompanied by appropriate institutional support to allow speech-language therapists to make meaningful use of appropriate outcomes data.
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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 | 0.038 | 0.036 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.009 |
| Science and technology studies | 0.014 | 0.013 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".