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Data · dataset · 2026

PRESCRIP-TEC – Companion Dataset: Combined Country (Post-Implementation and Follow-Up)

Listed in IISH Dataverse

The Prevention and Screening Innovation Project towards Elimination of Cervical Cancer (PRESCRIP-TEC) research project contributes to the evidence-base for the WHO strategy to eliminate cervical cancer as a public health problem.

Description

The project implements an innovative approach in cervical cancer screening, including direct treatment and follow-up, for women in resource-poor or hard-to-reach settings, by improving availability, accessibility, acceptability and quality of services.

PRESCRIP-TEC focuses on implementation research into secondary prevention of cervical cancer in different settings in four countries over three continents: Bangladesh and India in Asia, Uganda in Africa, and Slovakia in Eastern Europe. The project builds on interventions with promising or proven effectiveness including cost-effectiveness: - hrHPV based screening is cost-effective when adequate coverage is reached. - Self-swab for hrHPV leads to higher uptake of screening compared to sampling by clinicians. - Visual inspection with acetic acid (VIA) is an approved screening method by the WHO and is part of the national cervical cancer prevention programme in Uganda, Bangladesh, India; in India AI to support VIA screening was shown to be effective in detecting VIA positive lesions.

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The dataset concerns the multi-level contextual determinants to implementing WHO hr-HPV based primary cervical cancer screening in low-resource settings including combined cross-country information during the pre-intervention phase as well as information on intervention and post-intervention effectiveness.

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Cancer 75% · Oncology and carcinogenesis 69%
Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
IISH Dataversedoi:10.34894/SLLI4B13 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[disease].local:disease:cancerenrichment · datasets iisg amsterdamkeyword-concept-rules@1.0.0title+description (75%)
concepts[field].anzsrc:group:3211enrichment · datasets iisg amsterdamtaxonomy-embedding@1.1.0title+keywords+description (69%)
concepts[field].dataverse_subject:medicine-health-and-life-sciencessource · datasets iisg amsterdamconnector:datasets_iisg_amsterdam@1.0.0/subjects
concepts[field].local:field:life-sciencesmapping · datasets iisg amsterdamconnector:datasets_iisg_amsterdam@1.0.0/subjects
concepts[field].local:field:medicine-healthmapping · datasets iisg amsterdamconnector:datasets_iisg_amsterdam@1.0.0/subjects
created_datesource · datasets iisg amsterdamconnector:datasets_iisg_amsterdam@1.0.0
descriptionsource · datasets iisg amsterdamconnector:datasets_iisg_amsterdam@1.0.0/description
publication_datesource · datasets iisg amsterdamconnector:datasets_iisg_amsterdam@1.0.0
titlesource · datasets iisg amsterdamconnector:datasets_iisg_amsterdam@1.0.0/name
updated_datesource · datasets iisg amsterdamconnector:datasets_iisg_amsterdam@1.0.0
version_labelsource · datasets iisg amsterdamconnector:datasets_iisg_amsterdam@1.0.0