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Advancing the evaluation of cervical cancer screening: development and application of a longitudinal adherence metric
Kine Pedersen1, Emily A Burger1,2, Suzanne Campbell3
1Department of Health Management and Health Economics, University of Oslo, Oslo, Norway.
Background:
Attendance to routine cancer screening at repeated intervals is essential for reducing morbidity and mortality of targeted cancers, yet currently defined quality-assurance metrics evaluate coverage within a defined period of time (e.g. 3.5 years).
Methods:
We developed a longitudinal adherence metric that captures attendance to cancer screening at repeated intervals, and applied the metric to population-based data from the Cancer Registry of Norway that captures two decades of organised cervical cancer screening, including all screening tests and cervical cancer diagnoses for women living in Norway at any time during years 1992-2013 and eligible for at least two screening rounds (1 round = 3.5 years, N = 1 391 812). For each woman, we calculated the proportion of eligible screening rounds with at least one registered cytology test, and categorised women into one of five longitudinal adherence categories: never-screeners, severe under-screeners, moderate under-screeners, guidelines-based screeners and over-screeners. For each category, we evaluated cancer outcomes such as cancer stage at diagnosis.
Results:
Only 46% of screen-eligible women were consistently screened at least once every 3.5 years, and the majority of these were over-screened. In contrast, 29% were moderately under-screened, 17% were severely under-screened and 8% had never attended screening. Screening behaviour was associated with cancer outcomes; e.g., the proportion of cancers diagnosed at Stage I increased from 21% among never-screeners to 70% among over-screeners.
Conclusion:
The longitudinal adherence metric evaluates screening performance as a succession of screening episodes, reflecting both guidelines and the fundamental principles of screening, and may be a valuable addition to existing performance indicators.
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