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Record W4415992682 · doi:10.1111/jan.70346

Co‐Designing Storyboards for Multimedia Resources With Informal Carers to Support Hospital‐to‐Home Transitions for Older Adults From Culturally Diverse Backgrounds

2025· article· en· W4415992682 on OpenAlexaff
Jacqui Allen, Yaping Zhong, Josefine Antoniades, Gabrielle Brand, Leah Heiss, Alana Hewitt, Keith Hill, Alison M. Hutchinson, Aislinn Lalor, Debbie Ling, Patricia M. Livingston, Michelle Lobchuk, Helen Rawson, Nikos Thomacos, Kimberley Crawford

Bibliographic record

VenueJournal of Advanced Nursing · 2025
Typearticle
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsRelevance (law)Scripting languageCultural diversityMEDLINECulturally appropriateFocus groupDiversity (politics)

Abstract

fetched live from OpenAlex

AIM: To co-develop storyboards and scripts for multimedia resources to support the information needs of informal carers (carers) of older adults from Greek, Italian and Chinese (Cantonese- and Mandarin-speaking) Australian backgrounds during hospital-to-home transitions. METHODOLOGY: A modified experience-based co-design methodology was used to co-develop four storyboards and scripts with Greek, Italian and Chinese Australian carers and advocates from multicultural community-aged care organisations. To promote relevance, a Carer Advisory Group guided the research. The Carer Advisory Group, comprising 10 people, included carers and advocates from participating multicultural community-aged care organisations, a social worker from a large public health service, and policy representatives. Twenty-nine participants took part from June 2023 to April 2024. Data collection involved two rounds of co-development including 2 workshops, 9 small group interviews and 11 individual interviews. Round 1 focused on understanding participants' experiences of older adult care transitions, information needs and advice for other carers. This information was used to develop categories and example quotes to draft four storyboards reflecting participants' descriptions of the carer and patient journey during care transitions. Round 2 involved draft storyboards being presented to the same participants who advised on their acceptability. Certified interpreters and translators were used throughout data collection. FINDINGS: The co-developed categories, four storyboards and scripts are presented. Participants and the Carer Advisory Group agreed that the findings would be used to develop multimedia resources to support the information needs of carers and older adults from Greek, Italian and Chinese Australian backgrounds in care transitions. CONCLUSIONS AND IMPLICATIONS: The storyboards and scripts for multimedia resources are expected to improve access to information and services for carers and older adults from culturally and linguistically diverse backgrounds. The storyboards and scripts are examples to guide policymakers and leaders in improving transitional care in Australia and internationally. REPORTING METHOD: The reporting of the study has adhered to the COREQ guidelines. PATIENT OR PUBLIC CONTRIBUTION: Informal carers were involved in the Carer Advisory Group which provided guidance and consultation to each phase of the project. Their contributions included reviewing the ethics application prior to submission for ethical review, and reviewing storyboards and scripts to optimise the relevance for informal carers and older adults.

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 imitation

Not 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.

metaresearch head score (Codex)0.012
metaresearch head score (Gemma)0.028
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.063

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.028
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0020.002
Scholarly communication0.0040.004
Open science0.0020.006
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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.

Opus teacher head0.015
GPT teacher head0.359
Teacher spread0.344 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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