Issues in the ageing individual with haemophilia and other inherited bleeding disorders: understanding and responding to the patients’ perspective
Bibliographic record
Abstract
An increasing number of individuals with haemophilia and other severe bleeding disorders who are ≥40 years of age are entering uncharted territory with respect to the identification and management of medical, physical and social issues relevant to ageing with a bleeding disorder. This is because the population experienced considerable mortality during the HIV/AIDs and hepatitis C epidemic due to exposure to tainted blood products for treatment of bleeding. As a result, few older individuals with this disorder survive today. To provide insight for how the comprehensive care team can adapt to the changing needs of the adult haemophiliac we evaluated the patient perspective. The objective of this study was to identify key themes of importance in the ageing population with haemophilia and other inherited bleeding disorders. For this study all subjects with a diagnosis of haemophilia A or B, von Willebrand disease or rare bleeding disorders 40 years or older from a single clinic were invited to participate. Audio-recordings of groups of six to eight participants were conducted by an independent investigator without content expertise. Transcripts were analysed using N*vivo (v. 8) software using thematic content analysis. Overall, 32 subjects, 18 men/14 women, with a mean age of 57.5 years (median 56.0 years) and range of 40-77 years, participated. Three major themes emerged: (i) reflection on living an active life, (ii) 'normal' ageing vs. disease-specific impacts and (iii) the health system, and its ability to respond to their needs as ageing individuals with bleeding disorders. We found some anticipated themes and some unexpected ones, confirming that true perspective can only be provided by the patients themselves. Knowledge of these important themes has informed the development of new programmes aimed at this growing segment of the patient population.
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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 | 0.008 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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".