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Record W2990248629 · doi:10.11648/j.ajpn.20190704.15

A Review of Psychosocial Interventions in Patients with Advanced Cancer in Latin America and the Value of CALM Therapy in This Setting

2019· review· en· W2990248629 on OpenAlexaffabout
Paulina Troncoso, Anne Rydall, Sarah Hales, Gary Rodin

Bibliographic record

VenueAmerican Journal of Psychiatry and Neuroscience · 2019
Typereview
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsPrincess Margaret Cancer CentreUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsPsychosocialPsychological interventionDistressMedicineLatin AmericansPopulationCancerMEDLINEQuality of life (healthcare)GerontologyFamily medicinePsychiatryNursingClinical psychologyEnvironmental healthPolitical science

Abstract

fetched live from OpenAlex

Background: Advanced cancer is associated with multiple profound and practical challenges, including physical suffering and support needs. Depressive symptoms and other manifestations of distress are common in this population. At present, little professional support is available to help to alleviate the psychological distress of patients and families living with the burden of advanced cancer. Effective interventions and their integration into local health systems are needed to meet this challenge. Managing Cancer and Living Meaningfully (CALM), a brief psychotherapy intervention for patients with advanced cancer. Research conducted in Canada has demonstrated its feasibility, acceptability and effectiveness in reducing and preventing depressive symptoms, in managing distress related to death and dying, and in preparing for the end of life. Research is needed to demonstrate the feasibility and acceptability of CALM in Latin America, a developing region comprised of 35 different low- and middle-income countries in South and Central America, where more than one million people are presently in need of end-of-life care. Aim: Review evidence for psychosocial oncology interventions in Latin America and the potential applicability and implementation of CALM therapy in patients with advanced Cancer in this setting. Methods: We used an iterative search process to locate information about psychological interventions for patients with advanced cancer in South/Central/Latin America. Multiple searches were performed in Medline, Google Scholar, National Guidelines Clearinghouse, Trip Database, Redalyc, Scielo, and Latindex for terminology describing cancer, end-of-life, psychology, and psychological interventions. In the larger resources, we added either limits or search terms for Latin America. Results: The literature identified describes psychological interventions for patients with cancer, including psychoeducation, support therapies, group therapies, cognitive behavior therapy, spirituality and hypnosis. However, very few of these interventions were specifically designed for patients with advanced cancer. The majority of articles describe psychological/ psychotherapeutic interventions being implemented in Europe, North America, and Australian settings and we could identify only two papers describing psychological interventions being applied in an advanced cancer setting in Latin America. Conclusion: The availability and practice of psychological interventions in advanced cancer in Latin America are scarce. However, interest in applying such interventions appears to be growing. The application of the CALM intervention in multiple cultures and international settings suggests that it may be feasible and acceptable and effective in Latin America. Research is needed to demonstrate this and to support advocacy for its implementation in this region.

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)0.003
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.008
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.013
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0080.012
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.072
GPT teacher head0.448
Teacher spread0.376 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations7
Published2019
Admission routes2
Has abstractyes

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