Understanding how Canadian healthcare providers have learned to identify co‐occurring PTSD symptoms and dementia in Veterans
Bibliographic record
Abstract
WHAT IS KNOWN ON THE SUBJECT?: Little is known about how PTSD and dementia in Veterans is identified by health care providers. WHAT THE PAPER ADDS TO EXISTING KNOWLEDGE?: Healthcare providers identify those behavioural symptoms experienced by older people living with dementia that represent an unmet need associated with PTSD secondary to military service. Once healthcare providers recognize the presence of symptoms relevant to PTSD, they modify their care approach to include focused/tailored non-pharmacological care interventions that address environmental and situational variables that reflect military action. WHAT ARE THE IMPLICATIONS FOR PRACTICE?: Specialized education and training is needed to improve the identification of PTSD when existent with other co-occurring neurocognitive conditions such as delirium, dementia and depression. ABSTRACT: Introduction Co-occurring PTSD and dementia in Veterans can be difficult to distinguish from dementia-related responsive behaviours, which may result in inappropriate care management. Improved identification of PTSD and dementia is necessary to inform more appropriate and effective care for Veterans. Aim/Question The purpose of this study was to understand how Canadian healthcare providers have learned to identify the co-occurrence of PTSD symptoms in Veterans with dementia. Methods Eight semi-structured interviews employing the Critical Incident Technique were conducted with key informant healthcare providers who treat Veterans from across Canada. Framework analysis was used to code, sort and develop themes. Results Observed differences in Veterans with PTSD and dementia cued healthcare providers to seek our more information, leading to a new understanding of past trauma underlying the symptoms they observed. Healthcare providers then altered their usual care approaches to utilize trust-based and validation-oriented strategies resulting in more effective care management. Discussion Improvement in the identification of co-occurring PTSD and dementia in Veterans requires specialized education and training for healthcare providers. Implications for Practice Recognizing the complex needs of older Veterans with co-occurring PTSD and dementia is necessary for healthcare providers to implement more effective care for this population. Relevance Statement This paper provides mental health nurses with new understanding of co-occurring PTSD and dementia in Veterans. With an ageing Veteran population in Canada, mental health nurses need to be knowledgeable about the care for Veteran specific mental health needs.
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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 | 0.012 | 0.048 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.016 | 0.006 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".