A Systematic Review of Unmet Information and Psychosocial Support Needs of Adults Diagnosed with Thyroid Cancer
Bibliographic record
Abstract
BACKGROUND: Patient education and psychosocial support to patients are important elements of comprehensive cancer care, but the needs of thyroid cancer survivors are not well understood. METHODS: The published English-language quantitative literature on (i) unmet medical information and (ii) psychosocial support needs of thyroid cancer survivors was systematically reviewed. A librarian information specialist searched seven electronic databases and a hand search was conducted. Two reviewers independently screened citations from the electronic search and reviewed relevant full-text papers. There was consensus between reviewers on the included papers, and duplicate independent abstraction was performed. The results were summarized descriptively. RESULTS: A total of 1984 unique electronic citations were screened, and 51 full-text studies were reviewed (three from the hand search). Seven cross-sectional, single-arm, survey studies were included, containing data from 6215 thyroid cancer survivor respondents. The respective study sizes ranged from 57 to 2398 subjects. All of the studies had some methodological limitations. Unmet information needs were variable relating to the disease, diagnostic tests, treatments, and co-ordination of medical care. There were relatively high unmet information needs related to aftercare (especially long-term effects of the disease or its treatment and its management) and psychosocial concerns (including practical and financial matters). Psychosocial support needs were incompletely met. Patient information on complementary and alternative medicine was very limited. CONCLUSIONS: In conclusion, thyroid cancer survivors perceive many unmet information needs, and these needs extend to aftercare. Psychosocial information and supportive care needs may be insufficiently met in this population. More work is needed to improve knowledge translation and psychosocial support for thyroid cancer survivors.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.011 | 0.055 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.005 |
| Bibliometrics | 0.018 | 0.019 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".