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Record W4414700724 · doi:10.1097/hnp.0000000000000759

Symptom Burden and Quality of Life in Inpatient Palliative Care

2025· article· en· W4414700724 on OpenAlexaff
Monika Grochowicka, Wojciech Leppert, Małgorzata Domagalska, Sylwia Kropińska, Maciej Sopata, Tomasz Reysner, Grzegorz Kowalski, Katarzyna Wieczorowska–Tobis

Bibliographic record

VenueHolistic Nursing Practice · 2025
Typearticle
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsNortel (Canada)
Fundersnot available
KeywordsPsychosocialPalliative careDistressQuality of life (healthcare)Psychological interventionMEDLINE

Abstract

fetched live from OpenAlex

Effective palliative care requires a comprehensive assessment of symptoms to improve quality of life. This study evaluated the clinical utility of the Polish version of the Integrated Palliative Care Outcome Scale (IPOS-POL) in an inpatient setting. One hundred patients (68 oncological, 32 non-oncological) completed IPOS-POL at admission (T1) and after seven days (T2) between July 2022 and February 2023. While total IPOS scores remained stable (p = 0.3603), psychosocial distress increased significantly (p = 0.0217). Staff tended to underestimate drowsiness and psychosocial distress compared with patient self-reports. Female patients reported higher distress (p = 0.0374), and bedridden patients experienced more pain (p = 0.0146). Oncological patients reported greater pain (p = 0.0189), whereas non-oncological patients more frequently experienced breathlessness (p = 0.0297). These findings emphasize discrepancies in symptom perception between patients and staff and underline the importance of tailored interventions based on gender and functional status. Enhanced psychosocial support should be a priority in inpatient palliative 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)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.105
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.010
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 head0.220
GPT teacher head0.519
Teacher spread0.299 · 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.

Study designObservational
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

Citations1
Published2025
Admission routes1
Has abstractyes

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