Determinants of (non-)attendance at the Dutch cancer screening programmes: A systematic review. (September 2020)

• Record Type: Journal Article
• Authors: Bongaerts, Thomas HG; Büchner, Frederike L; Middelkoop, Barend JC; Guicherit, Onno R; Numans, Mattijs E
• Is Part Of: Journal of medical screening. Volume 27:Number 3(2020)
• Page Start: 121
• Page End: 129
• Publication Date: 2020-09
• Subjects: Cancer screening -- attendance -- I-Change model -- determinants of participation -- Netherlands; Medical screening -- Periodicals; 362.177
• DOI: 10.1177/0969141319887996
• Languages: English
• ISSNs: 0969-1413

Abstract

Objective: The Netherlands host three population-based cancer screening programmes: for cervical, breast, and colorectal cancer. For screening programmes to be effective, high participation rates are essential, but participation in the Netherlands' programmes is starting to fall below the minimal effective rate. We aimed to produce a systematic overview of the current known determinants of (non-)attendance at the Dutch cancer screening programmes. Methods: A literature search was conducted in the electronic databases Academic Search Premier, Cochrane Library, Embase, EMCare, PubMed, PsycINFO, Web of Science, and also in grey literature, including all articles published before February 2018. The I-Change model was used to categorize the identified determinants of cancer screening attendance. Results: In total, 19/1232 identified studies and 6 grey literature reports were included. Fifteen studies reported on predisposing factors. Characteristics such as social economic status, country of birth, and residency were most often reported, and correlate with cancer screening attendance. Thirteen studies addressed information factors. Factors on awareness, motivation, ability, and barriers were less often studied. Conclusion: Current studies tend to describe the general characteristics of (non-)attendance and (non-)attenders, but rarely provide in depth information on other factors of (non-)participation. The I-Change model proved to be a useful tool in mapping current knowledge on cancer screening attendance and revealed knowledge gaps regarding determinants of (non-)participation in the screening programmes. More research is needed to fully understand determinants of participation, in order to influence and optimize attendance rates over the long term.