A qualitative study exploring the education provided to midlife women with persistent post-concussion symptoms
Bibliographic record
Abstract
Purpose Between 20% and 40% of adults with a concussion experience a recovery period longer than the expected 3-month timeframe, which has been coined the term persistent post-concussion symptoms (PPCS; Cnossen et al., Popov et al.). Females (Kerr et al.) and older adults over the age of 40 are more likely to experience PPCS (Ryan & Warden). Early education plays a vital role in concussion recovery and preventing the onset of PPCS (Rickards et al.). However, there are few studies that have focused explicitly on the education that patients with a concussion and PPCS are receiving. Therefore, the purpose of this study was to explore how the education given to midlife women with an mTBI affected their experiences with PPCS.Method Five female participants (between the ages of 39 and 50) took part in one-on-one semi-structured online interviews to share their experiences with their concussion and PPCS and the education they received related to their injury. The interview transcripts were analyzed using thematic analysis to identify main themes regarding their experiences.Results The main themes identified related to (a) the variety and variability of education received, (b) the timing of the education in relation to their concussion diagnosis, and (c) the impact of the education and the process of getting information about PPCS.Implications The results indicate a need for more research and proper education delivery on concussion and PPCS management among health care professionals to improve the experiences and recovery of patients with an mTBI.
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 | 0.010 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.007 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".