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Record W4380485405 · doi:10.3390/curroncol30060429

The Role of Financial Difficulties as a Mediator between Physical Symptoms and Depression in Advanced Cancer Patients

2023· article· en· W4380485405 on OpenAlexvenueno aff
Eun Mi Lee, Paula Jiménez‐Fonseca, Raquel Hernández, Patricia Cruz‐Castellanos, Ana Fernández Montés, Jacobo Rogado, Mireia Gil-Raga, Mónica Antoñanzas, Helena López‐Ceballos, Caterina Calderón

Bibliographic record

VenueCurrent Oncology · 2023
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic and Financial Impacts of Cancer
Canadian institutionsnot available
FundersSociedad Española de Oncología Médica
KeywordsDepression (economics)FinanceMedicineMultilevel modelCancerDepressive symptomsMental healthClinical psychologyPsychiatryInternal medicineCognition

Abstract

fetched live from OpenAlex

Financial difficulties experienced by cancer patients negatively impact the mental health of the patients. The objective of this study was to examine the mediating role of financial difficulties between physical symptoms and depression in patients with advanced cancer. A prospective, cross-sectional design was adopted in the study. The data were collected from 861 participants with advanced cancer in 15 different tertiary hospitals in Spain. The participants' socio-demographic characteristics were collected using a standardized self-report form. Hierarchical linear regression models were used to explore the mediating role of financial difficulties. In the results, 24% of patients reported a high level of financial difficulties. Physical symptoms were positively associated with financial difficulties and depression (β = 0.46 and β = 0.43, respectively), and financial difficulties was positively associated with depression (β = 0.26). Additionally, financial difficulties played a role in explaining the relationship between physical symptoms and depression, showing a standardized regression coefficient of 0.43 which decreased to 0.39 after the financial difficulties were controlled. Healthcare professionals should consider the importance of providing financial resources and emotional support to help patients and their families cope with the financial burden associated with cancer treatment and its symptoms.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.235
Threshold uncertainty score0.422

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 head0.030
GPT teacher head0.318
Teacher spread0.289 · 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 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

Citations5
Published2023
Admission routes1
Has abstractyes

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