Informal carers' support needs, facilitators and barriers in the transitional care of older adults: A qualitative study
Bibliographic record
Abstract
INTRODUCTION: Inclusion of informal carers in transitional care is challenging because of fast throughput and service fragmentation. This study aimed to understand informal carers' needs during the care transitions of older adults from inpatient care to the community. METHODS: A qualitative exploratory design was used with mixed-methods data collection. Seventeen semi-structured telephone interviews were conducted with family carers; one focus group was conducted by videoconference with two family carers and three community-based advocacy and aged care providers; and eight semi-structured telephone interviews were undertaken with healthcare practitioners from rehabilitation services. Data were thematically analysed. FINDINGS: All carers described the main social challenge that they needed to address in transitional care as 'Needing to sustain family'. Carers reported their social needs across five solutions: 'Partnering with carers', 'Advocating for discharge', 'Accessing streamlined multidisciplinary care', 'Knowing how to care' and 'Accessing follow-up care in the community'. Focus group participants endorsed the findings from the carer interviews and added the theme 'Putting responsibility back onto carers'. All healthcare practitioners described the main social challenge that they needed to address as 'Needing to engage carers'. They reported their social solutions in three themes: 'Communicating with carers', 'Planning with carers' and 'Educating carers'. DISCUSSION: Findings highlight the importance of reconstructing the meaning of transitional care and relevant outcomes to be inclusive of carers' experiences and their focus on sustaining family. Transitional care that includes carers should commence at the time of hospital admission of the older adult. CONCLUSIONS: Future sustainable and high-quality health services for older adults will require transitional care that includes carers and older adults and efficient use of inpatient and community care resources. Healthcare professionals will require education and skills in the provision of transitional care that includes carers. To meet carers' support needs, models of transitional care inclusive of carers and older adults should be developed, implemented and evaluated. PUBLIC CONTRIBUTION: This study was conducted with the guidance of a Carer Advisory Group comprising informal carers with experience of care transitions of older adults they support and community-based organizations providing care and advocacy support to informal carers.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".