Assessing caregiving experience in COPD: content validity of the Zarit Burden Interview in Canadian and Portuguese caregivers
Bibliographic record
Abstract
Informal caregivers play an important role in chronic disease management but their experience is often neglected. The objective of this study was to explore the content validity of the Zarit Burden Interview (ZBI) in caregivers of individuals with COPD in Canada and Portugal. Cognitive debriefing interviews were conducted with informal caregivers of individuals with moderate to very severe COPD. Participants completed the ZBI and verbalised their thinking process to assess the adequacy of the questionnaire’s content and instructions. Content validity was assessed using deductive content analysis of interviews and descriptive statistics of questionnaire responses. Nine caregivers from Canada (age = 67 ± 8 years) and 13 from Portugal (age = 69 ± 7 years) participated. For Canadian caregivers, 3/22 items were not understood, and 8/22 items were not relevant to at least 1/3 of them. For Portuguese caregivers, 1/22 items were not understood, and 20/22 items were not relevant to at least 1/3 of them. The distribution of response choices was approximately symmetrical for 17/22 items in the Canadian sample. The response option “no/never” was selected by at least 75% of Portuguese participants for 18/22 items. The instrument was well understood by caregivers of people with COPD, but its relevance is uncertain.IMPLICATIONS FOR REHABILITATIONInformal caregivers provide essential care for people living with disability and chronic disease, but their experience is often neglected.The Zarit Burden Interview assesses caregiver burden but has not been validated in caregivers of people with chronic obstructive pulmonary disease.In its current form, the Zarit Burden Interview does not adequately represent the experience of COPD caregivers.We recommend selecting tools that assess caregiver burden that have been validated in the caregiver population of interest. Informal caregivers provide essential care for people living with disability and chronic disease, but their experience is often neglected. The Zarit Burden Interview assesses caregiver burden but has not been validated in caregivers of people with chronic obstructive pulmonary disease. In its current form, the Zarit Burden Interview does not adequately represent the experience of COPD caregivers. We recommend selecting tools that assess caregiver burden that have been validated in the caregiver population of interest.
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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 | 0.007 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".