Association between caregiver quality of life and the care provided to persons with Alzheimer’s disease: protocol for a systematic review
Bibliographic record
Abstract
BACKGROUND: Primary informal caregivers provide a substantial amount of the care and support for persons with Alzheimer's disease (AD). This review aims to investigate the association between the quality of life (QoL) of primary informal AD caregivers and the level of care that these caregivers provide to persons with AD. METHODS: Studies involving primary informal caregivers of persons with AD will be included in the review. These studies will be required to focus on the care that caregivers provide for their loved ones. The primary outcome is level or quality of care. The main independent variable is caregiver QoL. In addition to QoL, we will include studies that examine other independent variables that are considered to be important components of QoL. These variables include social support, caregiver burden, caregiver wellbeing, and caregiver depression.We will search Medline-OVID, Embase-OVID, Cochrane Central-OVID, and PsycINFO-OVID from inception onwards. Two raters will independently screen each article using pre-established inclusion/exclusion criteria. Screening will take place at two levels: title and abstract, and full text. Conflicts will be resolved by discussion or by a third reviewer. We will assess the risk of bias of each included study using standardized quality assessment tools for specific types of designs. A narrative synthesis method will be used to describe our findings. Quantitative summary and meta-analysis will be conducted if appropriate. We will employ GRADE to evaluate the strength of the evidence in this review. DISCUSSION: Results of this systematic review will show whether and how caregiver QoL is related to the level of care that caregivers provide to persons with AD.
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 | 0.086 | 0.095 |
| Meta-epidemiology (narrow) | 0.006 | 0.005 |
| Meta-epidemiology (broad) | 0.017 | 0.023 |
| Bibliometrics | 0.012 | 0.012 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.007 | 0.008 |
| Open science | 0.005 | 0.005 |
| Research integrity | 0.007 | 0.007 |
| Insufficient payload (model declined to judge) | 0.067 | 0.010 |
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".