Getting Insight to the Lived Emotional Experience of People with Alzheimer’s Disease Shortly After Diagnosis: A Phenomenological Approach
Bibliographic record
Abstract
Background: A diagnosis of Alzheimer's disease (AD) is a crucial moment in an individual's existence and represents a major life change that often results in psychological distress, diminish of perceived quality of life, and loss of independence. It is important to better understand the emotional experience of people with dementia to intervene according to their specific needs. Objective: The aim of the research was to get insight to the emotional experience of people with AD shortly after its discovery and the consequences thereof. Methods: A qualitative exploratory design was engaged, and in-depth interviews were conducted with ten French-speaking participants over 70 years recently diagnosed. Interviews were guided by Heideggerian phenomenology about movements in the worldview of individuals. The transcribed data was subjected to interpretative phenomenological analysis. Results: Following the diagnosis, participants experienced either shock or denial. Emotions felt were unpleasant and disturbing for most of them. Especially when participants were confronted with news concerning the illness, they experienced incomprehension. They engaged in an oscillatory motion of connection and disconnection to establish new meanings of their worldview. Thinking about the past seemed to diminish their worries, to reinforce the possibility to fulfil a significant place in their existence and to maintain their autonomy. Conclusions: When participants could express their emotional experience and their concerns, they regained a sense of control in their life that seemed du reduce their distress. With this insight, intervention could be adapted to the specific needs of people with AD to enhance their self-determination and quality of life.
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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 | 0.010 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.010 | 0.016 |
| Scholarly communication | 0.008 | 0.008 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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".