ArticleIranian journal of public health2020
Level and Factors Associated with Participation in Population-Based Cancer Screening in Safranbolu District of Karabuk, Turkey.
Article in Iranian journal of public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Barriers and facilitators of pap-smear test uptake in Asia: a systematic review.BMC public health · 2025Pooled it
- Women's experiences and perspectives on a nurse navigation program for cervical cancer screening: a qualitative study.Frontiers in public health · 2026Article
- Primary healthcare providers' knowledge, attitudes, and practices regarding cancer screening recommendation and referral in Georgia, 2023.The European journal of general practice · 2025Article
- Evaluation of the effectiveness of colorectal cancer screening intervention.Cancer causes & control : CCC · 2024Article
- Experience and Attitude of Colorectal Screening Pilot Program Participants Regarding Screening and Screening Programs in Hungary.Iranian journal of public health · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCervix, breast and colorectal cancers are included in the national population-based screening (PBS) program in Turkey. This study aimed to assess participation in PBSs for these cancers and to identify factors associated with participation in screenings in Safranbolu district of Karabuk, Turkey in 2016-2017.
methodsIn this cross-sectional study, separate studying groups for cervix, breast and colorectal cancers were identified, taking into account the target age range specified in the national screening standards. The sample size was determined to be 374 for cervical cancer, 371 for breast cancer and 373 for colorectal cancer in the Epi-Info StatCalc program with a prevalence of 50%, a 95% Confidence Interval (CI) and a 5% error margin. The results of the data collected through face-to-face interview using questionnaires were evaluated with Chi-square tests (
resultsParticipation in PBS at least once between 2011 and 2016 years was 26.2% for cervical cancer, 27.6% for breast cancer and 31.6% for colorectal cancer, whereas the level of PBS or opportunistic screening at least once was 51.1%, 42.7% and 32.2%, respectively. A 2.9-fold increase in participation for the cervical cancer screening was associated with informing women about cervical cancer by the family physicians. Being married and living in the district center showed associations with a higher rate of participation for colorectal cancer screening.
conclusionParticipation in PBS was low for the 5.5-year period. More effort is needed to increase the effectiveness of the program.
Indexed as
Identifiers
32548046PMC7283187What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.