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Indicators for monitoring screening programs with primary HPV test
Manuel Zorzi1, Paolo Giorgi Rossi2,
1Registro tumori del Veneto, Regione Veneto, Padova.
Epidemiologia E Prevenzione
|March 22, 2017
Summary
Italy
Area of Science:
- Public Health
- Gynecologic Oncology
- Screening Programs
Background:
- Italy's cervical cancer screening programs are transitioning to primary Human Papillomavirus (HPV) testing, replacing cytology, aligning with national and international guidelines.
- Ensuring equity, quality of life, and informed consent are crucial for public health interventions like cervical screening.
- The Italian Cervical Screening Group (GISCi) developed a handbook for monitoring indicators under the new HPV primary screening protocol with cytology triage.
Purpose of the Study:
- To establish a comprehensive monitoring system for Italy's evolving cervical cancer screening program.
- To define key performance indicators for assessing screening process efficiency, test accuracy, and early outcomes.
- To adapt monitoring to the new protocol utilizing primary HPV testing with cytology triage.
Main Methods:
- Developed indicators based on European guidelines and Italian recommendations for HPV-based screening.
- Grouped indicators into baseline, one-year repeat, cumulative, and waiting time categories.
- Defined data sources, calculation formulas, standards, and interpretation for each indicator, referencing NTCC trials and Italian pilot studies.
Main Results:
- Key organizational indicators include invitations, compliance rates (first invitation, one-year repeat, colposcopy referral).
- Test and process accuracy indicators use a cohort approach, tracking women for at least one year.
- Proposed accuracy indicators include positive HPV test, positive triage cytology, and positive predictive values for colposcopy referral and detection rates.
Conclusions:
- Monitoring the new primary HPV testing protocol with cytology triage is more complex than previous methods.
- The updated protocol necessitates a higher number of indicators and a cohort approach for data analysis.
- Increased complexity in monitoring may lead to a delay in obtaining performance data.
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