Impact of PRECEDE–PROCEED Model Audits in Cancer Screening Programs in Lombardy Region: Supporting Equity and Quality Improvement
Abstract
:1. Introduction
2. Materials and Methods
2.1. Cancer Screening Programs in Lombardy Region
2.2. Lombardy Audit Model: 2019 Cycle
2.3. Audit Cycle 2022/2023
2.4. Data Analysis
3. Results
3.1. Outcomes of the Epidemiological and Behavioural Analysis—2019 Cycle
3.2. Outcomes of Organisational Analysis—2019 Cycle
3.3. Outcomes of the Epidemiological Analysis—2022 Cycle
3.4. Outcomes of Organisational Analysis—2022 Cycle
4. Discussion
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Epidemiological Indicators | Standard (%) | Lombardy Region (%) | HPA 1 (%) | HPA 2 (%) | HPA 3 (%) | HPA 4 (%) | HPA 5 (%) | HPA 6 (%) | HPA 7 (%) | HPA 8 (%) |
---|---|---|---|---|---|---|---|---|---|---|
Coverage by invitation (colorectal) * | >95 | 100.7 | 112 | 107.2 | 99.5 | 87.1 | 106.1 | 96.9 | 92.6 | 88.2 |
Coverage by invitation (breast) * | >95 | 100 | 129.3 | 96.4 | 102.8 | 96 | 91.2 | 113.3 | 100.3 | 103.9 |
Coverage by invitation (cervical) * | >95 | 25.7 | 112.7 | 0.0 | 0.0 | 0.0 | 101.8 | 0.0 | 89.7 | 79.3 |
Coverage by examination (colorectal) | >50 | 43.6 | 51.2 | 59.1 | 42.2 | 42.7 | 35.9 | 62.8 | 46.5 | 36.8 |
Coverage by examination (breast) | >60 | 53.3 | 62.4 | 59.9 | 51.4 | 50.4 | 48.3 | 72 | 57 | 49.6 |
Coverage by examination (cervical) | >50 | 12.0 | 46 | 0.0 | 0.0 | 0.0 | 29.5 | 0.0 | 42.5 | 30 |
Pre-invitation exclusions (colorectal) | >2 | 5 | 3.4 | 10.3 | 4.5 | 0.2 | 0.6 | 4 | 2.5 | 16 |
Pre-invitation exclusions (breast) | >2 | 9 | 11.6 | 19.7 | 10.9 | 2.55 | 3.3 | 5.1 | 3.21 | 15 |
Pre-invitation exclusions (cervical) | >2 | 11.6 | 13.2 | NA ** | NA ** | NA ** | 28.9 | NA ** | 6.3 | 19.9 |
Recall rate (subsequent examinations, breast) | <5 | 5.3 | 6.4 | 4 | 4.8 | 6.9 | 4.8 | 7 | 4.9 | 4.2 |
Recall rate (first examinations, breast) | <7 | 10.6 | 12.8 | 8.3 | 9.3 | 13.7 | 11.1 | 13.6 | 9 | 7 |
Screen-detected breast cancers stage T2+ at subsequent rounds | <25 | 24 | 29.1 | 9.9 | 22 | 25 | 25.4 | 34.9 | 27 | 16.8 |
Complete colonoscopy rate | >90 | 93.1 | 88.2 | 95.8 | 95.5 | 95.3 | 92.3 | 89.9 | 90.9 | 98 |
Advanced lesions detection rate (colorectal) | >5 | 5.4 | 3.9 | 6.3 | 6.1 | 6.1 | 4.4 | 9 | 5 | 5.1 |
CIN2+ detection rate | >5 | 4.24 | 4.68 | NA ** | NA ** | NA ** | 2.31 | NA ** | 3.71 | 4.14 |
Inadequate tests (cervical) | <5 | 4.4 | 5.6 | NA ** | NA ** | NA ** | 4.7 | NA ** | 3.3 | 1.6 |
Waiting time between positive pap-test and colposcopy (within 56 days) | >90 | 55 | 38 | NA ** | NA ** | NA ** | 96.4 | NA ** | 23 | 70.5 |
Waiting time between the positive FIT and colonoscopy (within 30 days) | >90 | 44 | 36.9 | 64.5 | 65.7 | 52.7 | 25.3 | 48.4 | 39.5 | 21.2 |
Waiting time between positive mammography and further assessment (within 28 days) | >90 | 79.3 | 83 | 88.1 | 97.1 | 44.5 | 89.2 | 67.3 | 72.8 | 77.7 |
Waiting time between positive result and breast surgery (within 60 days) | >50 | 43.1 | 50 | 28.6 | 49.2 | 30.8 | 43.3 | 64.5 | 34.8 | 57 |
Breast Cancer Screening | Colorectal Cancer Screening | Cervical Cancer Screening | ||||
---|---|---|---|---|---|---|
2019 | 2022 | 2019 | 2022 | 2019 | 2022 | |
Target population (N) | 836,050 | 867,307 | 1,628,945 | 1,696,749 | 292,556 | 561,351 |
+31,257 | +67,804 | +268,795 | ||||
Invitations (N) | 772,842 | 827,138 | 1,567,021 | 1,732,035 | 225,317 | 308,942 |
+54,296 | +165,014 | +83,625 | ||||
Coverage by invitation (%) (adjusted **) | 100.0% | 100.1% | 100.7% | 104.8% | 25.7% | 46.2% |
+0.1% | +4.0% | +20.5% | ||||
Tests (N) | 445,494 | 418,968 | 710,934 | 713,045 | 105,058 | 130,251 |
−26,526 | +2111 | +25,193 | ||||
Adjusted participation rate (%) *** | 67.5% | 55.4% | 46.5% | 42.0% | 49.7% | 45.0% |
−12.1% | −4.5% | −4.7% | ||||
Coverage by examination (%) | 53.3% | 48.3% | 43.6% | 42.0% | 12.0% | 20.1% |
−5.0% | −1.6% | +8.1% | ||||
Assessments (N) | 22,970 | 22,856 | 35,480 | 31,242 | 5008 | 2389 |
−114 | −4238 | −2619 | ||||
Assessment/positivity rate (%) | 5.3% | 5.5% | 5.0% | 4.4% | 4.8% | 3.5% |
+0.2% | −0.6% | −1.3% | ||||
Advanced pre-neoplastic lesions (N) | NA * | NA * | 3806 | 2185 | 457 | 239 |
- | −1 621 | −218 | ||||
Advanced pre-neoplastic lesions detection rate (‰) | NA * | NA * | 5.4‰ | 3.1‰ | 4.3‰ | 3.7‰ |
- | −2.3‰ | −0.6‰ | ||||
Cancers (N) | 2 071 | 1 863 | 699 | 687 | NA * | NA * |
−208 | −12 | - | ||||
Cancer detection rate (‰) | 4.7‰ | 4.5‰ | 1.0‰ | 1.0‰ | NA * | NA * |
−0.2‰ | 0.0‰ | - |
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Odelli, S.; Zeduri, M.; Schivardi, M.R.; Archi, D.; Coppola, L.; Genco Russo, R.; Moscheni, M.; Tettamanzi, E.; Terragni, F.; Viscardi, M.; et al. Impact of PRECEDE–PROCEED Model Audits in Cancer Screening Programs in Lombardy Region: Supporting Equity and Quality Improvement. Curr. Oncol. 2024, 31, 5960-5973. https://doi.org/10.3390/curroncol31100445
Odelli S, Zeduri M, Schivardi MR, Archi D, Coppola L, Genco Russo R, Moscheni M, Tettamanzi E, Terragni F, Viscardi M, et al. Impact of PRECEDE–PROCEED Model Audits in Cancer Screening Programs in Lombardy Region: Supporting Equity and Quality Improvement. Current Oncology. 2024; 31(10):5960-5973. https://doi.org/10.3390/curroncol31100445
Chicago/Turabian StyleOdelli, Stefano, Margherita Zeduri, Maria Rosa Schivardi, Davide Archi, Liliana Coppola, Roberto Genco Russo, Maristella Moscheni, Elena Tettamanzi, Fabio Terragni, Michela Viscardi, and et al. 2024. "Impact of PRECEDE–PROCEED Model Audits in Cancer Screening Programs in Lombardy Region: Supporting Equity and Quality Improvement" Current Oncology 31, no. 10: 5960-5973. https://doi.org/10.3390/curroncol31100445
APA StyleOdelli, S., Zeduri, M., Schivardi, M. R., Archi, D., Coppola, L., Genco Russo, R., Moscheni, M., Tettamanzi, E., Terragni, F., Viscardi, M., Vitale, V., Odone, A., Cereda, D., & Deandrea, S. (2024). Impact of PRECEDE–PROCEED Model Audits in Cancer Screening Programs in Lombardy Region: Supporting Equity and Quality Improvement. Current Oncology, 31(10), 5960-5973. https://doi.org/10.3390/curroncol31100445