When one is sick and two need help: Caregivers’ perspectives on the negative consequences of caring
Bibliographic record
Abstract
Informal or family caregivers contribute significantly to individual care, and to the Canadian healthcare system, yet receive limited support from governments, institutions, and healthcare professionals in recognition of their role, or in response to their health and social care needs – often due to the negative consequences of caregiving. Learning about the diversity of others’ experiences can positively influence personal decision-making, reduce feelings of isolation, as well as promote adjustment to a personal situation. For caregivers, however, few resources exist that provide reliable information on others’ experiences. We collected the narratives of caregivers’ experiences of caring for someone with a chronic physical illness and produced an evidence-based web resource. Through purposive variation sampling, 42 caregivers were recruited across Canada for interviews in their homes or alternate location using video/audio recording. Qualitative data analysis followed a constant comparison approach. 29 thematic pages were developed for the web site (www.healthexperiences.ca) featuring the diversity of lived experiences, and presenting topics important to the caregivers with illustrative video/audio clips, along with other sources of information. Key themes related to caregivers’ perspectives on the negative consequences of caregiving included: the impact upon personal health; challenging interactions with professionals; inconsistent information, limited support from family and friends, and unhelpful societal views. These results contribute to existing evidence of caregiver burden, but uniquely in the voices of caregivers themselves – with constructive insights for understanding the causes of ill health related to caregiving burden and for informing policy and practice.
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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 | 0.013 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.009 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.005 |
| 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".