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Record W3111413140 · doi:10.1016/j.cegh.2020.100678

Effectiveness and meaningfulness of breast cancer survivorship and peer support for improving the quality of life of immigrant women: A mixed methods systematic review protocol

2020· article· en· W3111413140 on OpenAlexafffund
Melba Sheila D’Souza, Joyce O’Mahony, Subrahmanya Nairy Karkada

Bibliographic record

VenueClinical Epidemiology and Global Health · 2020
Typearticle
Languageen
FieldMedicine
TopicCancer survivorship and care
Canadian institutionsThompson Rivers University
FundersThompson Rivers University
KeywordsBreast cancerSurvivorship curveSystematic reviewMedicineInclusion (mineral)Quality of life (healthcare)Psychological interventionImmigrationProtocol (science)Peer supportGrey literatureMEDLINEFamily medicineGerontologyNursingCancerPsychologyAlternative medicineSocial psychologyPolitical science

Abstract

fetched live from OpenAlex

ObjectiveThe objective of this review is to assess the effectiveness and meaningfulness of breast cancer peer survivorship and support group in improving the quality of life of immigrant adults.IntroductionImmigrant women use fewer follow-up and peer support services following treatment for breast cancer than people who have not recently immigrated to a new country.Review questionsThis JBI convergent segregated approach to a mixed methods systematic review will address the following review questions. What is the impact of survivorship and peer support groups on improving the quality of life for immigrant women survivors? What is the impact of acculturated interventions for breast cancer survivors to improve quality of life?Inclusion criteriaThe inclusion criteria include immigrant women who have completed their initial course of breast cancer treatment. The exclusion criteria include non-immigrant - women and men (above 18 years) who are not diagnosed with breast cancer, or currently undergoing active or advanced treatment, or end of life care.MethodsThe proposed systematic review will be conducted in accordance with the Joanna Briggs Institute methodology for mixed methods systematic reviews. The search strategy will include qualitative, quantitative, and mixed methods research reports published in academic journals and a grey literature search for unpublished research reports. A mixed method integrated approach to synthesis and integration will be used. Findings of method synthesis will be configured according to JBI methodology convergent segregated mixed methods systematic review.Systematic review registration numberRegistration of title in PROSPERO 2020: https://www.crd.york.ac.uk/prospero/#loginpage.

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 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)0.053
metaresearch head score (Gemma)0.029
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.761
Threshold uncertainty score0.979

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0530.029
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0040.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.156
GPT teacher head0.549
Teacher spread0.393 · 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; both teacher heads agree on what is shown here.

Study designObservational
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

Citations12
Published2020
Admission routes2
Has abstractyes

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