The consequences of severe aphasia on the spouses of aphasic people: A description of the adaptation process
Bibliographic record
Abstract
Background : Aphasia changes the links an individual has with his/her social milieu. However, information about these changes is sparse as most research on aphasia has been centred on understanding this language disorder and testing treatment methods. Moreover, information about the psycho-social consequences of severe aphasia is even rarer. Aims : To determine the consequences of severe aphasia as experienced by spouses of persons with aphasia. Methods & Procedures : A qualitative phenomenological approach was adopted. Spouses of five persons with relatively longstanding severe aphasia were interviewed with a semi-structured qualitative schedule. The analysis was guided by the data and by a model of the adaptation process. Outcomes & Results : Spouses' perceived sources of stress related to various changes in lifestyle habits more or less explicitly related to the aphasic person's communication impairment. These consequences were experienced in the realms of communication, interpersonal relationships, responsibilities, leisure activities, and finances. Spouses employed coping strategies. These strategies were directly based on the problems they encountered or on the control of the significance of these problems. Spouses experienced various indicators of adaptation such as fatigue, anxiety, discouragement, loss of privacy, social isolation and burden. These consequences, coping strategies, and indications of adaptation were functions of the contextual stimuli of these couples. Conclusions : These results serve to describe how spouses experience lifestyle changes associated to the aphasia in their partner. Speech-language therapy could contribute to minimise the impact of aphasia on both spouses and aphasic people by considering how spouses adapt to aphasia.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| 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".