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Record W1908860864 · doi:10.1111/ajd.12323

Patient experiences and outcomes following facial skin cancer surgery: A qualitative study

2015· article· en· W1908860864 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAustralasian Journal of Dermatology · 2015
Typearticle
Languageen
FieldMedicine
TopicNonmelanoma Skin Cancer Studies
Canadian institutionsMcMaster University
FundersNational Cancer Institute
KeywordsMedicineWorrySkin cancerQualitative researchPatient satisfactionGrounded theoryPatient-reported outcomeSurgeryCancerQuality of life (healthcare)NursingPsychiatryAnxiety

Abstract

fetched live from OpenAlex

Early melanoma and non-melanoma skin cancer of the facial area are primarily treated with surgery. Little is known about the outcomes of treatment for facial skin cancer patients. The objective of the study was to identify concerns about aesthetics, procedures and health from the patients' perspective after facial skin surgery. Semi-structured in-depth interviews were conducted with 15 participants. Line-by-line coding was used to establish categories and develop themes. We identified five major themes on the impact of skin cancer surgery: appearance-related concerns; psychological (e.g., fear of new cancers or recurrence); social (e.g. impact on social activities and interaction); physical (e.g. pain and swelling) concerns and satisfaction with the experience of care (e.g., satisfaction with surgeon). The priority of participants was the removal of the facial skin cancer, as this reduced their overall worry. The aesthetic outcome was secondary but important, as it had important implications on the participants' social and psychological functioning. The participants' experience with the care provided by the surgeon and staff also contributed to their satisfaction with their treatment. This conceptual framework provides the basis for the development of a new patient-reported outcome instrument.

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.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.437
Threshold uncertainty score0.523

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.053
GPT teacher head0.385
Teacher spread0.332 · 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