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The Effects and Expense of Augmenting Usual Cancer Clinic Care With Telephone Problem-Solving Counseling

2007· article· en· W1982017110 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

VenueCancer Nursing · 2007
Typearticle
Languageen
FieldHealth Professions
TopicProblem Solving Skills Development
Canadian institutionsDalhousie University
Fundersnot available
KeywordsMedicineTelephone counselingFamily medicineCancerMEDLINEGerontologyNursingInternal medicine

Abstract

fetched live from OpenAlex

This study was done to assess the effectiveness and efficiency of individualized, problem-solving counseling provided by baccalaureate nurses over the telephone to prevent the onset of depression in persons with breast, lung, or prostate cancer. Of 175 persons randomized, 149 completed the 8-month follow-up. The primary outcome measures were changes in the Jalowiec Coping Scale, the Centre for Epidemiologic Studies in Depression Scale, and the Derogotis Psychosocial Adjustment to Illness Scale. In addition, expenditures for people's use of all health and social services were computed at baseline and follow-up. Telephone counseling improved the use of more favorable coping behaviors, prevented a clinically important but not statistically significant decline into depression, and poor psychosocial adjustment in a group of people with mixed cancer. These results were associated with a greater total per person per annum expenditure for use of all other health and social services in the community compared with the control group. In a situation of limited resources and a service producing more effect for more costs, one needs either to examine what services to forgo to offer this service or to carefully target the new service to those most likely to benefit.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.280
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.020
GPT teacher head0.403
Teacher spread0.383 · 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