Cervical Cancer Screening Cascade: A Framework for Monitoring Uptake and Retention Along the Screening and Treatment Pathway
Simple Summary
Abstract
1. Introduction
2. The Cervical Cancer Screening Cascade Development
3. Cervical Cancer Screening Cascade Stages
3.1. Population of Interest
3.2. Screening
3.2.1. Stage 1: Screening Invitation
3.2.2. Stage 1a: Screening Uptake
3.2.3. Stage 1b: Screening Results
3.3. Triage
3.3.1. Stage 2: Triage Uptake
3.3.2. Stage 2a: Triage Results
3.4. Detection
3.4.1. Stage 3: Detection Uptake
3.4.2. Stage 3a: Detection Results
3.5. Treatment
Stage 4: Treatment Uptake
4. Practical Steps for Using the Cervical Cancer Screening Cascade
- Identify the Population:
- •
- Define the eligible group for cervical cancer screening (e.g., age range, risk factors, or geographic location).
- •
- Ensure you have access to data on the number of eligible WIC and the corresponding stages of their care.
- Map Data onto the Cascade Stages:
- •
- Break down the screening algorithm and categorize available data into the four key stages of the Cascade:
- i.
- Screening: Number of WIC invited, participating, and screened.
- ii.
- Triage: Individuals completing triage testing after an abnormal result, and number of those with positive triage results.
- iii.
- Detection: Individuals undergoing follow-up diagnostic testing, and number diagnosed with precancerous lesions.
- iv.
- Treatment: Number receiving appropriate treatment.
- •
- Identify gaps in data or data collection system at each stage and identify strategies to address them.
- Calculate Key Metrics:
- •
- Use program data to calculate the corresponding measures at each stage of the Cascade. Example: screening participation rate = (number screened ÷ eligible population) × 100
- •
- Calculate the attrition rate or loss to follow-up rate at each stage. Example: triage attrition rate = 1—triage completion rate
- Compare Metrics with Targets:
- •
- Assess whether the calculated metrics meet established benchmarks (e.g., WHO targets of 70% screening participation and 90% treatment rates).
- •
- Identify any deviations from the targets and determine potential areas for improvement.
- Identify Attrition Points:
- •
- Look for stages where the largest attrition or loss to follow-up occurs (e.g., WIC who test positive but do not proceed to triage).
- •
- If needed, conduct a more granular-level or stratified analysis to gather more insight.
- •
- Analyze reasons for attrition, such as lack of accessibility, awareness, or follow-up mechanisms.
- Implement Targeted Interventions:
- •
- Develop strategies to address gaps identified at each stage.
- •
- Example: If triage completion rates are low, consider introducing automated reminders or mobile diagnostic units to improve access.
- Monitor Progress over Time:
- •
- Use the Cascade framework longitudinally to track program improvements and the impact of interventions.
- •
- Compare data across different years or regions to identify trends and share best practices.
5. Discussion
- A guiding framework for emerging programs: Screening programs in developmental stages or those undergoing transitions, such as the shift from cytology to HPV screening, can utilize this cascade to embed clearly defined touchpoints with automated data capture through integration with electronic health records or laboratory information systems. The framework supports the development of robust data collection and reporting infrastructures, essential for optimizing program effectiveness.
- A standardized evaluation and benchmarking tool: The cascade provides a consistent and systematic approach for collecting and reporting metrics across key stages of screening. By adopting this standardized framework, existing programs can better evaluate and report their performance, facilitate cross-program comparisons, and share insights and best practices to collectively advance cervical cancer prevention efforts.
6. Conclusions
Author Contributions
Funding
Conflicts of Interest
References
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Study | Target Population | Age Range | Primary Screening Method | Measures |
---|---|---|---|---|
Grover et al. (2023) [25] | Women receiving radiation therapy in Botswana | ≥27 years | Not specified | Treatment delay Survival rates |
Taghavi et al. (2022) [22] | Women living with HIV in Zimbabwe | ≥18 years | Visual inspection with acetic acid and cervicography (VIAC) | Screening uptake Screening result Treatment uptake Rescreening uptake Rescreening results |
Garcia et al. (2022) [26] | Women in rural Guatemala | 21–65 years | Cytology | Screening uptake Screening result Triage + Detection uptake Treatment uptake |
Rohner et al. (2021) [23] | Women living with HIV in South Africa | ≥18 years | Cytology/ Pap smear | Screening Results Follow-up uptake Treatment uptake |
Wang et al. (2019) [24] | Rural Chinese women | 35–64 years | Cytology/ Pap smear | Screening uptake Screening results Detection uptake Detection result |
Stage | Measure | Numerator | Denominator |
---|---|---|---|
Screening | |||
Stage 1: Screening Invitation | Screening Reach Rate | Number of WIC invited to screen | Eligible WIC: WIC eligible for average risk, routine screening, within eligible screening age range |
Stage 1a: Screening Uptake | Screening Participation Rate | Number of screened WIC (self-sampled and/or provider-collected) | Number of invited WIC |
Stage 1b: Screening Results | Screening Positivity Rate | Number of WIC with abnormal results that refer to triage or diagnostic follow-up | Number of screened WIC |
Triage | |||
Stage 2: Triage Uptake | Triage Completion Rate | Number of WIC referred to triage who completed all required triage visits | Number of WIC referred to triage |
Stage 2a: Triage Results | Triage Positivity Rate | Number of WIC with positive triage results | Number of WIC completing triage |
Detection | |||
Stage 3: Detection Uptake | Follow-up Completion Rate | Number of WIC completing diagnostic follow-up visits | Number of WIC referred to diagnostic follow-up (directly after primary test or following triage) |
Stage 3a: Detection Results | Precancer Rate | Number of WIC with precancerous lesions | Number of WIC completing diagnostic follow-up visits |
Treatment | |||
Stage 4: Treatment Uptake | Treatment Rate | Number of WIC with detected precancerous lesions who received treatment | Number of WIC with detected precancerous lesions |
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Izadi-Najafabadi, S.; Smith, L.W.; Gottschlich, A.; Booth, A.; Peacock, S.; Ogilvie, G.S. Cervical Cancer Screening Cascade: A Framework for Monitoring Uptake and Retention Along the Screening and Treatment Pathway. Curr. Oncol. 2025, 32, 407. https://doi.org/10.3390/curroncol32070407
Izadi-Najafabadi S, Smith LW, Gottschlich A, Booth A, Peacock S, Ogilvie GS. Cervical Cancer Screening Cascade: A Framework for Monitoring Uptake and Retention Along the Screening and Treatment Pathway. Current Oncology. 2025; 32(7):407. https://doi.org/10.3390/curroncol32070407
Chicago/Turabian StyleIzadi-Najafabadi, Sara, Laurie W. Smith, Anna Gottschlich, Amy Booth, Stuart Peacock, and Gina S. Ogilvie. 2025. "Cervical Cancer Screening Cascade: A Framework for Monitoring Uptake and Retention Along the Screening and Treatment Pathway" Current Oncology 32, no. 7: 407. https://doi.org/10.3390/curroncol32070407
APA StyleIzadi-Najafabadi, S., Smith, L. W., Gottschlich, A., Booth, A., Peacock, S., & Ogilvie, G. S. (2025). Cervical Cancer Screening Cascade: A Framework for Monitoring Uptake and Retention Along the Screening and Treatment Pathway. Current Oncology, 32(7), 407. https://doi.org/10.3390/curroncol32070407