Multiple System Atrophy Caregivers’ Experience: A Mixed Methods Study
Bibliographic record
Abstract
BACKGROUND: Multiple system atrophy (MSA) is a rare Parkinson-plus syndrome with rapid progression and a high symptom burden. The experience of caregivers of people with MSA has not been closely examined. We therefore sought to document the impact of MSA on caregivers using a mixed methods approach. METHODS: Patients and caregivers were recruited from a movement disorders program in Edmonton, Canada. Participants completed the following survey instruments based on their own or their loved one's symptoms: 36-Item Short-Form Health Survey (SF-36), Multiple System Atrophy health-related Quality of Life scale (MSA-QoL), and Hospital Anxiety and Depression Scale (HADS). Caregivers also completed the Zarit Burden Interview and HADS based on their own experience. Qualitative data were obtained through semi-structured interviews. RESULTS: Nine people with MSA (PwMSA) (age range: 48-78 years) and 11 caregivers (49-76 years) participated. All completed surveys; 7 PwMSA and 10 caregivers were interviewed. Eight PwMSA had the parkinsonian type of MSA (MSA-P) and one a mixed type. Caregivers had on average mild-moderate caregiver burden and mild anxiety. Caregiver burden and anxiety were correlated. Qualitative subthemes under the caregiving theme included keeping the patient safe, caregivers' own health, and communication symptoms cause frustration. The rapid progression of illness was bewildering to caregivers and increased their workload. Public home care services were invaluable to caregivers' maintaining their loved ones at home. Caregivers were inventive in finding sources of hope and quality of life for their loved ones. CONCLUSION: Publicly funded home care was essential for caregivers of PwMSA in this study. Caregiver support is needed to provide this unrecognized workforce with information and resources to face this challenging condition.
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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 | 0.010 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| 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".