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Record W2783651033 · doi:10.1017/s0266462317001775

OP108 Health Intervention Assessment Report Adaptation: Tunisian Experience

2017· article· en· W2783651033 on OpenAlexaboutno aff
Wafa Allouche, Asma Ben Brahem, Hella Ouertatani, Mouna Jameleddine, Hela Grati, Khalil Jlassi, Mohamed Ben Hammouda, Randa Attieh, José Asua, Iñaki Gutiérrez‐Ibarluzea, Khaled Zghal

Bibliographic record

VenueInternational Journal of Technology Assessment in Health Care · 2017
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHealth Systems, Economic Evaluations, Quality of Life
Canadian institutionsnot available
Fundersnot available
KeywordsChecklistContext (archaeology)Critical appraisalHealth careMedicineStandardizationMedical educationPsychologyComputer scienceAlternative medicinePathologyPolitical science

Abstract

fetched live from OpenAlex

INTRODUCTION: Health Technology Assessment (HTA) reports adaptation process is an important tool for emerging HTA agencies. INASanté (National Instance for Accreditation in Healthcare) has chosen to rely on this approach, to develop its first health intervention assessment report: comparative study of computed tomographic colonography versus standard colonoscopy for colorectal cancer screening. METHODS: Following consultations with healthcare professionals, the PICO question related to the colorectal cancer screening issue in Tunisia was determined. A literature search strategy covering 10 years (2006-2016) was carried out. Several databases including HTA on the net were explored. Then two independent reviewers conducted literature screening and realized a PRISMA flow diagram. Full text selected reports were submitted to three critical appraisal tools: PRISMA checklist, INAHTA checklist and Critical Appraisal Tools (FLC 2.0). The EUnetHTA adaptation toolkit was used to determine reports adaptability by assessing relevance, reliability and transferability. A structured study of the Tunisian context based on a qualitative data analysis was elaborated. The data synthesis and reporting were finalized with the contribution of a working group. Then an external peer review was conducted before the report dissemination. RESULTS: Eighty reports were screened to finally retain four eligible. After a critical appraisal performed by two independent reviewers, two reports from the Canadian Agency for Drug and Technolgies in Healthcare and AETSA were selected to be assessed using the EUnetHTA adaptation toolkit. Regarding transferability criteria, the second report was retained. The context study has consisted in a qualitative analysis of seventeen individual interviews with healthcare professionals involved in colorectal cancer screening issues and an up to date Tunisian literature review. The final adapted report was a combination between relevant extracted data from AETSA report and synthesis of the Tunisian context analysis. CONCLUSIONS: This HTA report represents a tool for policy makers to establish the appropriate colorectal cancer screening program for the Tunisian context. HTA reports adaptation process is the best way to give evidence on emerging technologies without wasting time and resources.

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)0.049
metaresearch head score (Gemma)0.084
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.049
Threshold uncertainty score0.261

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0490.084
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.005
Science and technology studies0.0020.002
Scholarly communication0.0030.002
Open science0.0020.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.001

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 head0.279
GPT teacher head0.559
Teacher spread0.280 · 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
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".

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Citations0
Published2017
Admission routes1
Has abstractyes

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