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Record W4309941937 · doi:10.1111/1460-6984.12822

Outcomes management practices in tiered school‐based speech–language therapy: A Canadian example

2022· article· en· W4309941937 on OpenAlexaffabout
Peter Cahill, Stella Ng, Leah Dix, Mark A. Ferro, Lyn S. Turkstra, Wenonah Campbell

Bibliographic record

VenueInternational Journal of Language & Communication Disorders · 2022
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsCentre for Disability Prevention and RehabilitationUniversity of WaterlooUniversity of TorontoMcMaster University
Fundersnot available
KeywordsAccountabilityPsychologyService delivery frameworkMedical educationContext (archaeology)Best practiceDebriefingInclusion (mineral)StakeholderService (business)Applied psychologyMedicinePublic relationsSocial psychology

Abstract

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BACKGROUND: Measuring, assessing and managing outcomes in school practice environments is difficult due to the complex nature of school communities as well as the recent shift in service-delivery models towards tiered approaches. In tiered approaches, multiple levels of service are offered to better match students' needs. Each level of service may require different outcomes and management techniques. Research to date on outcomes has focused on measuring outcomes in medical settings, leaving a substantive gap in the literature regarding practice in schools. AIMS: The first aim was to explore how school-based speech-language therapists approached outcomes management as their clinical programmes transitioned to tiered service-delivery models The second aim was to describe the successes and challenges in outcomes management reported by clinicians in this context. METHODS & PROCEDURES: A secondary deductive-inductive content analysis was performed using qualitative interviews with 24 clinical managers and senior therapists from schools across Ontario, Canada. Using a framework of outcomes measurement, assessment and management in schools based on previous research studies, data were grouped into broad categories deductively, and then the content of each category was further explored using inductive coding. Iterative peer debriefing and reflexive journaling were key strategies to increase the trustworthiness of the results. FINDINGS & RESULTS: Participants reported measuring and qualitatively assessing seven key outcomes for school-based practice. These included: (1) student progress and achievement, (2) student participation and inclusion in the school community, (3) stakeholder perspectives, (4) 'buy-in', (5) expanded capacities, (6) responsiveness to needs and (7) accountability to systems. Participants reported more challenges than successes in outcomes management during this transition to tiered services. Challenges were attributed to idiosyncratic organizational barriers, the transition to tiered models and the philosophy of working within the educational system. CONCLUSIONS & IMPLICATIONS: School-based speech-language therapists measure, assess and manage multiple outcomes relevant to school-based practice in tiered service-delivery models. Many challenges remain. Solutions to support meaningful, systematic and proactive outcomes management in schools should address the broader set of outcomes relevant to tiered service-delivery models and the unique practice context of the educational system, while remaining responsive to idiosyncratic organizational factors. Sustained clinical-research collaboration and knowledge exchange is recommended. WHAT THIS PAPER ADDS: What is already known on the subject Systematic, proactive collection and interpretation of outcomes has long been encouraged within speech-language therapy. However, implementing outcomes management in clinical practice remains a substantial challenge. Additionally, research on outcomes to date has focused on medical practice environments, to the exclusion of school-based practice. What are the potential or actual clinical implications of this work? Outcomes management is valued in school practice environments; however, the current repertoire of techniques for outcomes management are a poor match for school-based practice. Clinicians in schools would benefit from the development of contextually relevant, meaningful and feasible outcomes management tools.

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 imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.357
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0070.000

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.

Opus teacher head0.101
GPT teacher head0.494
Teacher spread0.393 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations9
Published2022
Admission routes2
Has abstractyes

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