Benchmarking key service quality indicators in UK Employee Assistance Programme Counselling: A CORE System data profile
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Background : Levels of psychological distress appear to be increasing in the workplace, in parallel with the growth of employee assistance programme (EAP) provision offering a range of talking treatments. However, such growth takes place in the absence of a substantive body of supporting research evidence despite a quarter of a decade of research activity. Aims : To analyse a national sample of EAP data and profile relative service quality on a set of key service indicators. Method : CORE System data profiles of over 28,000 clients were voluntarily donated by six EAP service providers. An established benchmarking methodology was used to assess the relative quality of EAP service provision compared with published CORE System benchmarks for NHS primary care and UK higher education student counselling services. Results : High quality data profiled an EAP service clientele who were quantifiably distressed, accessed treatment quickly, with the majority completing treatment and demonstrating high rates of recovery and/or improvement relative to published benchmarks from the NHS and HE comparative sectors. Limitations of the study and implications for practice and further investigation are considered.
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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 | 0.028 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| 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 it