Understanding the Unmet Needs, Experiences, and Perspectives of COPD Caregivers: A Scoping Review
Bibliographic record
Abstract
Chronic Obstructive Pulmonary Disease (COPD) poses significant challenges, not only to patients but also to their caregivers, who often experience substantial unmet needs, stress, and emotional burdens. This scoping review synthesizes existing literature to understand the experiences, perspectives, and challenges faced by caregivers of COPD patients. A comprehensive search of multiple databases was conducted, focusing on studies addressing unmet needs, psychological experiences, and the day-to-day realities of caregivers. The review reveals that COPD caregivers frequently encounter inadequate support, insufficient information, and heightened emotional and physical strain. These factors contribute to negative mental health outcomes, including anxiety, depression, and caregiver burnout. Moreover, the review highlights the disparity in care and support services across different healthcare settings, with a particular emphasis on the need for targeted interventions that address the unique challenges of COPD caregiving. The findings underscore the importance of integrating caregivers' needs into COPD management plans and the development of policies that recognize and support their role. The review concludes with recommendations for future research to fill existing gaps in the literature and for healthcare providers to implement strategies that enhance caregiver well-being, thereby improving overall patient care.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.028 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.012 | 0.011 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".