Exploring concepts of compassion in care home settings: a scoping review protocol
Bibliographic record
Abstract
INTRODUCTION: There is widespread agreement that medical care without compassion cannot be patient-centred, but patients still routinely cite that they feel a lack of compassion in the care environment. There is a dearth of research on how compassion is experienced in a non-hospital setting such as a care home, not just by residents but by staff and other key stakeholders. This scoping review aims to determine the body of existing, published research that explicitly refers to compassion or empathy in the context of care homes. METHODS AND ANALYSIS: This scoping review will follow the methodology described by Arksey and O'Malley and the PRISMAextension for scoping reviews guideline to adhere to an established methodological framework. Relevant publications will be searched on the EMBASE, MEDLINE, PubMed, CINAHL, EBM Reviews and PsycInfo databases. Peer-reviewed literature focusing on experiences of compassion or empathy in care home settings from the perspective of either staff, residents (or clients), family members or their combined perspectives will be included. We will focus on literature published from 2000 up to 1 November 2021, in English, Spanish, Portuguese Finnish and Estonian. The review process will consist of three stages: a title review to identify articles of interest, this will be followed by an abstract review and finally, a full-text review. These three stages will be conducted by two reviewers. Data will be extracted, collated and charted and a narrative synthesis of the results will be presented. ETHICS AND DISSEMINATION: Ethical approval is not required for this scoping review. This study supports the first part of a larger programme to understand the importance of technologies in care homes. The scoping review will examine data from publicly available documentation, reports and published papers. Dissemination will be achieved through engagement with stakeholder communities, and publishing results. Our team will include representatives from the different communities involved.
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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 | 0.158 | 0.115 |
| Meta-epidemiology (narrow) | 0.005 | 0.007 |
| Meta-epidemiology (broad) | 0.012 | 0.010 |
| Bibliometrics | 0.023 | 0.019 |
| Science and technology studies | 0.006 | 0.008 |
| Scholarly communication | 0.010 | 0.010 |
| Open science | 0.007 | 0.010 |
| Research integrity | 0.011 | 0.009 |
| Insufficient payload (model declined to judge) | 0.065 | 0.018 |
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".