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Record W4407908016 · doi:10.1111/jan.16826

Patient Experiences of Hospital Care in the Context of Comprehensive Care Delivery: A Mixed Method Study

2025· article· en· W4407908016 on OpenAlexaff
Beibei Xiong, Daniel X. Bailey, Christine Stirling, Ziyinyue Zeng, Emmy Trinh, Melinda Martin‐Khan

Bibliographic record

VenueJournal of Advanced Nursing · 2025
Typearticle
Languageen
FieldMedicine
TopicDiabetes Management and Education
Canadian institutionsUniversity of Northern British Columbia
FundersNational Health and Medical Research CouncilDementia AustraliaMedical Research CouncilUniversity of TasmaniaAustralian Government
KeywordsContext (archaeology)NursingMedicineMEDLINEPolitical science

Abstract

fetched live from OpenAlex

AIMS: To explore the care experiences of patients with chronic conditions in hospitals and identify areas for improvement in the context of comprehensive care delivery. DESIGN: A sequential explanatory mixed-method study. METHODS: The study includes a cross-sectional survey (n = 311) and semi-structured interviews (n = 43) with patients with chronic conditions who attended an Australian hospital. Quantitative data were analysed using RStudio and presented using descriptive statistics, while qualitative data were analysed using thematic analysis. Survey responses were categorised into themes aligned with interview findings and qualitative insights were used to contextualise and explain quantitative results. RESULTS: Overall, the care experience of patients with chronic conditions in hospitals was positive, but there was room for improvement. Ten themes were identified where improvement was needed, including patient inclusion in shared decision-making, patients' needs and care coordination. CONCLUSION: Various gaps in care were identified that affected patients' hospital experiences. Many of these gaps are amenable to change, highlighting significant opportunities for improving patient hospital experiences. IMPLICATIONS: Healthcare professionals should make more efforts to involve patients in shared decision-making, work collaboratively, address both the medical and psychological needs of patients and provide them with guidance and information. IMPACT: The findings revealed the patient's hospital experiences in the context of comprehensive care delivery and identified areas requiring improvement. REPORTING METHOD: The CROSS and The COREQ guidelines were followed. PATIENT OR PUBLIC CONTRIBUTION: The study protocol was presented to stakeholders from two hospitals in Australia, a Patient and Carer Advisory Board and the Australian Commission on Safety and Quality in Health Care, and discussions were held to assess the relevance and significance of this study to clinical practice and health policy. WHAT DOES THIS PAPER CONTRIBUTE?: This research offers valuable feedback on patients' care experiences in hospital settings following the implementation of the national Comprehensive Care Standard, providing insights into gaps in care and informing global efforts to enhance patient-centred comprehensive care.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.339
Threshold uncertainty score0.198

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.011
GPT teacher head0.339
Teacher spread0.328 · 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 teacher head, 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".

Quick stats

Citations2
Published2025
Admission routes1
Has abstractyes

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