Prevention and Screening Innovation Project Towards Elimination of Cervical Cancer

DOI

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. 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. The following research questions will be answered per target country: 1. Which are the client-related factors for accessibility and acceptability and adherence to the enhanced screening protocol? 2. Which are the health system-related factors for availability and quality of the enhanced screening protocol? 3. What is the percentage of increase in coverage and uptake as result of implementation of the enhanced screening protocol? 4. What is the percentage of screened women who adhere to single-visit treatment and proposed follow-up of screening? 5. Does the artificial intelligence decision support system (AI-DSS) offer a solution for reducing intraobserver and inter-observer variation by HCWs and does it allow task shifting to non-specialist health staff? 6. At which level of unit cost per screening the new protocol (including self-test for hrHPV and AI-DSS) is affordable for the included countries?

Additional information related to article "Investigating feasibility..." is available from https://bmcpublichealth.biomedcentral.com/articles/10.1186/s12889-022-13488-z

Identifier
DOI https://doi.org/10.34894/LO4AA6
Related Identifier IsCitedBy https://doi.org/10.1136/ijgc-2023-004397
Related Identifier IsCitedBy https://doi.org/10.7189/jogh.14.04157
Metadata Access https://dataverse.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34894/LO4AA6
Provenance
Creator Koot, Jaap ORCID logo; Schans, Jurjen van der ORCID logo; Zeeuw Janine de ORCID logo
Publisher DataverseNL
Contributor Groningen Digital Competence Centre; Global Health Unit, Department of Health Sciences; University Medical Center Groningen; Uganda Rural Development and Training, NGO, Uganda; Healthy Regions, NGO, Slovak Republic; League Against Cancer; Friendship, Bangaldesh; icddr,b, Bangladesh; Female Cancer Foundation, the Netherlands; Connaxis, Spain; Uganda Cancer Institute, Uganda; Manipal Institute of Higer Education, India; Trnava University, Slovak Republic; Shri Dharmasthala Manjunatheshwara College of Ayurveda and Hospital, Udupi, Karnataka (SDM), India; St. John’s Medical College, Bengaluru, Karnataka (SJMC), India; Tata Memorial Hospital, Mumbai, Maharashtra (TMCM); Chittaranjan National Cancer Institute, Kolkata, West Bengal (CNCI), India; Tata Medical Center, Kolkata, West Bengal (TMCK), India; Sikkim Manipal University, Gangtok, Sikkim (SMU), India; Department of Health Sciences
Publication Year 2024
Funding Reference European Union https://cordis.europa.eu/project/id/964270 ; Department of Bio Technical Research, Ministry of Science and Technology, India https://dbtindia.gov.in
Rights CC-BY-NC-SA-4.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/licenses/by-nc-sa/4.0
OpenAccess true
Contact Groningen Digital Competence Centre (rug.nl)
Representation
Resource Type Survey data; Dataset
Format image/jpeg; application/gzip; text/x-r-notebook; text/csv; type/x-r-syntax; application/pdf; text/x-c
Size 627305; 10983; 9133; 16920; 4116; 15530; 2774; 951276; 26508; 56284; 92417; 17446; 17448; 17449
Version 1.0
Discipline Life Sciences; Medicine
Spatial Coverage Uganda, India, Bangladesh, Slovak Republic