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Patient-reported care satisfaction and symptom burden in hospitalized patients with cancer.

2021· article· en· W4231367171 on OpenAlexaboutno aff
Carolyn L. Qian, Charu Vyas, Eva Gaufberg, Emilia Kaslow-Zieve, Chinenye C. Azoba, Irène Wang, Emily E. Van Seventer, Richard Newcomb, Vicki A. Jackson, David P. Ryan, Joseph A. Greer, Areej El‐Jawahri, Jennifer S. Temel, Ryan David Nipp

Bibliographic record

VenueJournal of Clinical Oncology · 2021
Typearticle
Languageen
FieldMedicine
TopicCancer survivorship and care
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePatient satisfactionCancerHealth careFamily medicineInternal medicineNursing

Abstract

fetched live from OpenAlex

180 Background: Hospitalized patients with cancer often experience a high symptom burden, which may impact care satisfaction and healthcare utilization. However, research describing these patients’ care satisfaction, symptom burden, and health care use is lacking. We sought to investigate relationships among care satisfaction, physical and psychological symptom burden, and hospital length of stay (LOS) in hospitalized patients with cancer. Methods: We prospectively enrolled patients with cancer and unplanned hospitalizations from 9/2014 to 4/2017. Upon admission, we assessed patients’ care satisfaction (FAMCARE items: satisfaction with care coordination and the speed with which symptoms are treated) as well as their physical (Edmonton Symptom Assessment System [ESAS]) and psychological (Patient Health Questionnaire-4 [PHQ-4]) symptoms. We used regression models to identify factors associated with care satisfaction, and we also examined associations of care satisfaction with patients’ symptom burden and hospital length of stay (LOS). Results: Among 1,576 participants (median age = 65.0 years [range:19-96], 46.3% female, 70.9% with incurable cancer, 58.4% admitted to a dedicated oncology service), most reported being “satisfied” or “very satisfied” with care coordination (90.1%) and the speed with which symptoms are treated (89.0%). Older age (care coordination: B < 0.01, P = 0.022, speed with which symptoms are treated: B = 0.01, P = 0.001) and admission to a dedicated oncology service (B = 0.20, P < 0.001 for each) were associated with higher care satisfaction. Higher satisfaction with care coordination was associated with lower ESAS-physical (B = -1.28, P = 0.007), ESAS-total (B = -2.73, P < 0.001), PHQ4-depression (B = -0.14, P = 0.022), and PHQ4-anxiety (B = -0.16, P = 0.008) symptoms. Higher satisfaction with the speed with which symptoms are treated was associated with lower ESAS-physical (B = -1.32, P = 0.003), ESAS-total (B = -2.46, P < 0.001), PHQ4-depression (B = -0.14, P = 0.014), and PHQ4-anxiety (B = -0.17, P = 0.004) symptoms. Greater satisfaction with care coordination (B = -0.48, P = 0.040) and the speed with which symptoms are treated (B = -0.44, P = 0.041) were both associated with shorter LOS. Conclusions: Hospitalized patients with cancer report high care satisfaction, which correlates with older age and admission to a dedicated oncology service. Significant associations among higher care satisfaction, lower symptom burden, and shorter hospital LOS highlight the importance of improving symptom management and care coordination in this population.

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)0.001
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.034
GPT teacher head0.396
Teacher spread0.362 · 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 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".

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Citations0
Published2021
Admission routes1
Has abstractyes

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