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Living with advanced colorectal cancer: How prepared are informal caregivers to care for their loved ones?

2019· article· en· W2981024493 on OpenAlexafffundabout
Marc Kerba, Shireen Kassam, Crystal Beaumont, Patricia Biondo, Madalene A. Earp, Patricia A. Tang, Jessica Simon, Sharon Watanabe, Aynharan Sinnarajah

Bibliographic record

VenueJournal of Clinical Oncology · 2019
Typearticle
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsUniversity of AlbertaUniversity of Calgary
FundersCanadian Institutes of Health ResearchAlberta Health
KeywordsPreparednessMedicineFamily caregiversFeelingPalliative careLikert scaleCaregiver stressFamily medicineCaregiver burdenNursingGerontologyPsychologyDiseaseDementia

Abstract

fetched live from OpenAlex

179 Background: The ‘Living with Colorectal Cancer’ prospective cohort study seeks to characterize the experiences of patients diagnosed with advanced colorectal cancer and their caregivers, in order to inform care improvements. Here we describe informal caregivers’ perceived preparedness for caregiving. Methods: Eligible patients were identified by oncologists in Alberta, Canada’s two tertiary cancer centers. Consenting patients were given the option to invite a caregiver to participate. Caregivers’ preparedness for caregiving was assessed at enrollment and every 3 months thereafter using the Preparedness for Caregiving survey. This survey assesses levels of preparedness using 5-point Likert scales for 8 caregiving domains (e.g. caring for the patient’s physical and emotional needs, finding and setting up services, stress of caregiving, responding to emergencies), and one open-ended question. Results: In one year of recruitment, 55 caregivers in Calgary and Edmonton were enrolled, of which 65% were female, and 80% lived with the patient. Caregiver preparedness decreased over time from months 1 to 7 of follow-up, across all categories. Caregivers were least prepared for the stress of caregiving and caring for the patient’s emotional needs. They were most prepared for taking care of the patient’s physical needs at enrollment. Open-ended comments on specific preparedness needs were numerous and extensive. A range of topics were reported, the top three being: caregiver health (physical, mental, self-care), emotional aspects (preparing children and family, feeling alone) and end of life (hospice, palliative care, transitioning). Conclusions: Our data suggest that in the advanced cancer setting, caregiver perceived preparedness declines, with increasing stress and emotional distress over time. This may be related to patient illness progression. The open-ended qualitative comments on the Preparedness for Caregiving survey were particularly useful in understanding specific caregiver concerns. Caregiver experience, including sense of preparedness, is often under evaluated and this study suggests more attention is needed. Clinical trial information: NCT03572101.

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)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.141
GPT teacher head0.490
Teacher spread0.348 · 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 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

Citations0
Published2019
Admission routes3
Has abstractyes

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