Experiences and Support Needs of Caregivers of Patients with Higher-Risk Myelodysplastic Syndrome via Online Bulletin Board in the USA, Canada and UK
Bibliographic record
Abstract
INTRODUCTION: Patients with higher-risk myelodysplastic syndromes (MDS) face considerable challenges in disease management and often require caregiver support. Reports on the burden of caring for patients with advanced cancer suggest that caregivers receive insufficient support. Our research aimed to identify key challenges for caregivers of patients with higher-risk MDS. METHODS: Online bulletin board is a qualitative research methodology which enables data collection via a web-based platform. A mix of moderator-led discussion guide and interparticipant discussion provides the caregiver insights as online dialogue, which then undergo content analysis to extract key findings. RESULTS: Sixteen caregivers participated from the USA (n = 5), UK (n = 6) and Canada (n = 5). Content analysis identified the caregiver experience in higher-risk MDS as multifactorial, with seven key categories of caregiver burden: caregiver role and burden, mental health, family dynamics, disease experience, treatment experience, healthcare professional (HCP) interactions and information and education. CONCLUSION: There is significant impact and burden on caregivers of patients with higher-risk MDS, which varies depending on disease stage, choice (or lack of choice) of treatments, and the personal situation of the caregiver. Emotional stress occurs mostly at diagnosis/prognosis stage and when told to 'watch and wait', which is amplified when HCPs are perceived to lack knowledge/expertise about MDS. There is a need for better education about MDS for HCPs, patients, caregivers and the general community; a need for improved communication between patients/caregivers and HCPs; and a high unmet need for better mental health and emotional support for both patient and caregiver.
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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 | 0.000 | 0.000 |
| 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 | 0.000 | 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".