Experiences of psychological mistreatment in older adults and promising practices: A scoping review protocol
Bibliographic record
Abstract
OBJECTIVE: This project aims to gain a thoroughly understanding of the characteristics and experiences of psychological mistreatment among older adults, acknowledging the diversity within this population. It also seeks to identify clinical tools and practices for its detection and intervention. While there is extensive literature on mistreatment of older adults, specific studies focusing on psychological aspects and intersecting social and identity dimensions are scarce. The findings will provide valuable insights for policymakers and healthcare professionals, helping to shape interventions and policies aimed at countering mistreatment in the ageing population. INTRODUCTION: Psychological mistreatment involves a range of behaviors, expressions, and gestures-or the lack of appropriate actions-that negatively impact an individual's health and dignity. Often subtle and difficult to detect, this type of mistreatment is prevalent and can coexist with other types of abuse. Examination of psychological mistreatment, shaped by various social and identity dimensions, is lacking in current research, particularly regarding how it is experienced by older adults. This scoping review seeks to map the current knowledge on psychological mistreatment of older adults, while highlighting gaps and future directions for research. INCLUSION CRITERIA: This scoping review will encompass studies that explore the characteristics and experiences of psychological mistreatment among older adults, including their experiences and those of perpetrators and witnesses. It will also identify clinical tools and practices for the detection and intervention of psychological mistreatment in this population. METHOD: A scoping review will be undertaken by a multidisciplinary team, examining studies from post-2010, sourced from both bibliographic databases and grey literature, available in English or French. Employing an intersectional framework, the review will use Gender-Based Analysis Plus (GBA+) to examine how different forms of discrimination intersect and shape experiences of mistreatment. That is, this approach will help explore how social and identity dimensions-including gender, age, sexual orientation, ethnicity, socioeconomic status, and health conditions-shape the experiences and manifestations of psychological mistreatment.
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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 | 0.082 | 0.069 |
| Meta-epidemiology (narrow) | 0.003 | 0.004 |
| Meta-epidemiology (broad) | 0.009 | 0.010 |
| Bibliometrics | 0.018 | 0.012 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.005 | 0.008 |
| Research integrity | 0.008 | 0.005 |
| Insufficient payload (model declined to judge) | 0.037 | 0.008 |
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".