GPs’ adherence to guidelines for structured assessments of stroke survivors in the community and care homes
Bibliographic record
Abstract
BACKGROUND: Clinical practice guidelines recommend that stroke survivors' needs be assessed at regular intervals after stroke. The extent to which GPs comply with national guidance particularly for patients in care homes who have greatest clinical complexity is unknown. OBJECTIVES: This study aimed to establish the current clinical practice in the UK of needs assessment by GPs for stroke survivors after hospital discharge for acute stroke. METHODS: Cross-sectional online survey of current practice of GPs, using the national doctors.net network. RESULTS: The survey was completed by 300 GPs who had on average been working for 14 years. The structured assessment of stroke survivors' needs was not offered by 31% of GPs, with no significant difference for level of provision in community or care home settings. The outputs of reviews were added to patients' notes by 89% of GPs and used to change management by 57%. Only half the GPs reported integrating the information obtained into care plans and only a quarter of GPs had a protocol for follow-up of identified needs. Analysis of free-text comments indicated that patients in some care homes may receive more regular and structured reviews. CONCLUSIONS: This survey suggests that at least one-third of GPs provide no formal review of the needs of stroke patients and that in only a minority are identified needs addressed in a structured way. Standardization is required for what is included in reviews and how needs are being identified and met.
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 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 | 0.011 | 0.074 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".