MétaCan
Menu
Back to cohort
Record W2779525358 · doi:10.1016/j.vaccine.2017.12.012

The WHO Tailoring Immunization Programmes (TIP) approach: Review of implementation to date

2017· article· en· W2779525358 on OpenAlexaff
Ève Dubé, Julie Leask, Brent Wolff, Benjamin Hickler, Victor Balaban, Everold Hosein, Katrine Bach Habersaat

Bibliographic record

VenueVaccine · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicVaccine Coverage and Hesitancy
Canadian institutionsUniversité LavalInstitut National de Santé Publique du Québec
FundersNational Institutes of HealthWorld Health Organization
KeywordsIncentivePsychological interventionWork (physics)Public relationsImmunizationIntervention (counseling)Community engagementMedicineProcess (computing)VaccinationPolitical scienceBusinessMedical educationNursingComputer scienceEngineeringEconomics

Abstract

fetched live from OpenAlex

INTRODUCTION: The WHO Regional Office for Europe developed the Guide to tailoring immunization programmes (TIP), offering countries a process through which to diagnose barriers and motivators to vaccination in susceptible low vaccination coverage and design tailored interventions. A review of TIP implementation was conducted in the European Region. MATERIAL AND METHODS: The review was conducted during June to December 2016 by an external review committee and was based on visits in Bulgaria, Lithuania, Sweden and the United Kingdom that had conducted a TIP project; review of national and regional TIP documents and an online survey of the Member States in the WHO European Region that had not conducted a TIP project. A review committee workshop was held to formulate conclusions and recommendations. RESULTS: The review found the most commonly cited strengths of the TIP approach to be the social science research as well as the interdisciplinary approach and community engagement, enhancing the ability of programmes to "listen" and learn, to gain an understanding of community and individual perspectives. National immunization managers in the Region are generally aware that TIP exists and that there is strong demand for the type of research it addresses. Further work is needed to assist countries move towards implementable strategies based on the TIP findings, supported by an emphasis on enhanced local ownership; integrated diagnostic and intervention design; and follow-up meetings, advocacy and incentives for decision-makers to implement and invest in strategies. CONCLUSIONS: Understanding the perspectives of susceptible and low-coverage populations is crucial to improving immunization programmes. TIP provides a framework that facilitated this in four countries. In the future, the purpose of TIP should go beyond identification of susceptible groups and diagnosis of challenges and ensure a stronger focus on the design of strategies and appropriate and effective interventions to ensure long-term change.

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)0.068
metaresearch head score (Gemma)0.148
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.068
Threshold uncertainty score0.359

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0680.148
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0060.006
Bibliometrics0.0190.020
Science and technology studies0.0010.003
Scholarly communication0.0070.007
Open science0.0050.005
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0080.002

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 head0.046
GPT teacher head0.378
Teacher spread0.332 · 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 designSystematic review
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

Citations115
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueVaccineSame topicVaccine Coverage and HesitancyFrench-language works237,207