Client-Centred Concepts in a Personalized E-Mail Support Intervention Designed for Chinese Caregivers of Family Members with Dementia: A Qualitative Study
Bibliographic record
Abstract
A new personalized e-mail supported intervention was designed based on client-centred occupational therapy concepts. Research showed that the new intervention benefit Chinese caregivers. This study aimed to analyze the content and process of the new intervention and explore how the client-centred concepts can be applied to Internet-mediated intervention. Twenty-eight Chinese Canadian family caregivers exchanged e-mails with Chinese clinicians for 6 months. E-mail was the sole form of communication between the caregivers and clinicians who provided conventional one-to-one support intervention via the e-mail medium. All e-mail exchanges were analyzed using an open coding system. The communication process through e-mail exchanges paralleled those presented in face-to-face support interventions. The caregivers' approach to caregiving was guided by Chinese beliefs in (a) honouring and respecting parents and grandparents; (b) sharing the care among family members, thereby insuring a harmonious family life; and (c) shaping emotional responses to avoid disruption to the harmonious family life. Core client-centred concepts were reflected in the intervention strategies, and the caregivers were responsive to the strategies. Therapists used special questions and responses to compensate for a lack of nonverbal cues in the communication process but had difficulty in assessing what prevented some caregivers from participating in the intervention process. Client-centred occupational therapy can be successfully applied in the context of e-mail intervention and benefited Chinese caregivers. As the Internet has become a daily activity among many clients and occupational therapists, more studies are needed to advance the theory and practice of Internet-mediated occupational therapy.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.009 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.006 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.002 |
| 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".