The First Nations experience of accessing rheumatology services in a metropolitan hospital: A qualitative study
Bibliographic record
Abstract
OBJECTIVE: First Nations Australians experience a higher burden and severity of Rheumatic Disease with poorer outcomes than the general population. Despite a widely acknowledged need to improve health outcomes, there has been minimal research assessing existing models of care from a First Nations perspective in Australia. The objective of this study was to describe First Nations experiences and barriers and enablers to accessing a hospital-based adult Rheumatology service in Sydney. METHODS: A qualitative study using semi-structured interviews was undertaken. Patients who self-identified as First Nations attending the Prince of Wales Hospital Rheumatology Clinic in 2021 were invited to participate. Interviews were conducted face-to-face or by telephone using culturally-appropriate Yarning methods with an Aboriginal Health Worker (AHW) at the request of participants. Thematic analysis was done in consultation with an Aboriginal Reference Group (ARG). RESULTS: Four categories, which encapsulated 11 themes were identified. Participants reported barriers to care such as logistics of the referral process, not feeling culturally safe because of uncomfortable clinic environments and health worker behaviours, inadequate cultural support and community perceptions of the specialty. Enabling factors included family member involvement, AHW support and telehealth consultation. CONCLUSION: The current model of care perpetuates access challenges for First Nations Australians within rheumatology. Barriers to care include the delayed referral process, limited cultural responsivity in the clinic environment and poor cross-cultural communication. There is a need for models of care that are co-designed with First Nations Peoples to address these barriers. PATIENT AND PUBLIC CONTRIBUTION: Participants were First Nations Australians with lived experience attending the rheumatology clinic. All interviewees were offered the opportunity to review their transcripts to ensure trustworthiness of the data. Preliminary thematic analysis was conducted in partnership with the AHW who has over 20 years experience. Following preliminary coding, a list of themes were presented to the ARG for iterative discussion and refinement. The ARG provided community representation and ensured that First Nations voices were privileged in the analysis. It's intended that the findings of this study will support the upcoming co-design of a First Nations health service for Rheumatology patients.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".