The Development of Integrated Stroke Care in the Netherlands a Benchmark Study
Bibliographic record
Abstract
INTRODUCTION: Integrated stroke care in the Netherlands is constantly changing to strive to better care for stroke patients. The aim of this study was to explore if and on what topics integrated stroke care has been improved in the past three years and if stroke services were further developed. METHODS: A web based self-assessment instrument, based on the validated Development Model for Integrated Care, was used to collect data. In total 53 coordinators of stroke services completed the questionnaire with 98 elements and four phases of development concerning the organisation of the stroke service. Data were collected in 2012 and 2015. Descriptive-comparative statistics were used to analyse the data. RESULTS: In 2012, stroke services on average had implemented 56 of the 89 elements of integrated care (range 15-88). In 2015 this was increased up to 70 elements on average (range 37-89). In total, stroke services showed development on all clusters of integrated care. In 2015, more stroke services were in further phases of development like in the consolidation and transformation phase and less were in the initiative and design phase. The results show large differences between individual stroke services. Priorities to further develop stroke services changed over the three years of data collection. CONCLUSIONS: Based on the assessment instrument, it was shown that stroke services in the Netherlands were further developed in terms of implemented elements of integrated care and their phase of development. This three year comparison showed unique first analyses over time of integrated stroke care in the Netherlands on a large scale. Interesting further questions are to research the outcomes of stroke care in relation to this development, and if benefits on patient level can be assessed.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".