<i>“I used to be a storyteller”</i> : the perspectives of people with primary progressive aphasia on the communication needs for themselves and their family members
Bibliographic record
Abstract
Background Primary progressive aphasia (PPA) refers to a group of neurological disorders characterised by the progressive deterioration of language functions. The primary avenue of support for the wide-ranging impacts of PPA on the lives of people with PPA and their family members is the delivery of communication care from speech-language pathologists. To align the provision of communication care services and the development of communication interventions with the peoples’ and family members’ needs, it is important to understand those needs from the perspectives of key stakeholders, particularly individuals with PPA.Aims The aims of the current study were to explore (a) the communication needs of people with PPA in the early and middle stages, and (b) the communication needs of their family members, from the perspectives of people with PPA.Methods & Procedures Semi-structured qualitative interviews were conducted with seven people with PPA (all variants of PPA) from one to 96 months post diagnosis. The qualitative data was analysed using qualitative content analysis to identify codes and categories that related to the study’s research aims.Outcomes & Results Qualitative content analysis yielded six categories of communication need pertaining to people with PPA: Diagnosis and disclosure; Wanting information for self and the general public; General communication difficulties; Impact on communication in everyday life; Impact on psychosocial wellbeing; and Future planning. In contrast, only one category of need pertaining to family members was identified: Impact on family and others.Conclusion This study has yielded a breadth of findings on the communication needs of people with PPA and an initial contribution on those of their family members, implicating a range of health and social care professionals and other system level supports, as well as community members and family and friends, in addition to speech-language pathology services. Speech-language pathologists supporting this population might consider needs in areas such as impact on working life, impact on driving, coping with a changing self-perception of their identity (e.g. as a storyteller), and managing fluctuation in communication abilities. Future research can build on these findings to inform clinical practice and to develop interventions which address the needs of this population.
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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 | 0.011 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.012 | 0.014 |
| Scholarly communication | 0.007 | 0.010 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.004 | 0.008 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".