Family members' concerns : topics addressed by family members of the elderly in a family counseling program
Bibliographic record
Abstract
Background: Family members often provide support and care to the elderly within their family. It has been reported that caregiving can be challenging for family members and might confront family members with concerns to be addressed with health care professionals. Therefore, within a nurse-led family-centered counseling program aiming to support family caregivers by providing therapeutic conversations according to the Calgary Family Assessment and Intervention model, we explored the concerns of family members when seeking individualized counseling sessions. Methods: Qualitative design using therapeutic conversations with family members of the elderly. Tape-recorded counseling sessions have been analyzed using content analysis methodology according to Mayring. Results: Family members seeking counselling were primarily adult children (n=30 [24 women]; 52.7%), followed by partners (n=19 [17 wives]; 33.3%) and children in law (n=4 [2 sons in law]; 7%) and others (n=4 [friends, neighbor, professional caregiver]; 7%). The main topics were the need a) to outline and include current developments into the family story, b) to address loss and strains due to disease and deterioration in health of the elderly, c) to focus on former strategies and conflicts with the elderly managing the illness consequences and d) to highlight excessive demand to own resources and its consequences to own physical and mental health. Due to counselling strategies family members could consider new coping strategies and were able to adapt their plans. Discussion: Family members primarily sought counseling to be able to outline their own situation in caregiving and to be supported in finding new meaning and strategies. According to the different topics, counseling has to focus on the main challenges family member address in counseling sessions. Individual tailoring according to the primary concern is pivotal to help family members to concentrate on their resources, find new meaning and coming up with feasible plans that strengthens the family.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".