ArticleBMC public health2014
Behavioural and demographic predictors of adherence to three consecutive faecal occult blood test screening opportunities: a population study.
Article in BMC public health, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 3 of them syntheses that pooled it.
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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.
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Who cites it
29 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Experience and satisfaction of participants in colorectal cancer screening programs: a qualitative evidence synthesis.BMC public health · 2024Pooled it
- Satisfaction and experience with colorectal cancer screening: a systematic review of validated patient reported outcome measures.BMC medical research methodology · 2021Pooled it
- A Systematic Review of Repeat Fecal Occult Blood Tests for Colorectal Cancer Screening.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2020Pooled it
- Trial
- Effectiveness and Cost of Organized Outreach for Colorectal Cancer Screening: A Randomized, Controlled Trial.Journal of the National Cancer Institute · 2020Trial
- Third Annual Fecal Occult Blood Testing in Community Health Clinics.American journal of health behavior · 2016Trial
- Trial
- Adherence to Competing Strategies for Colorectal Cancer Screening Over 3 Years.The American journal of gastroenterology · 2016Trial
- Longitudinal predictors of colorectal cancer screening among participants in a randomized controlled trial.Preventive medicine · 2014Trial
- Assessment of Psychosocial Correlates and Associated Factors of Colorectal Cancer Screening among Southwestern Saudi Population: A Cross-Sectional Study.Healthcare (Basel, Switzerland) · 2023Article
- Comorbidities and Risk Factors of Patients Diagnosed with CRC after Positive Fecal Test in Real Life.Cancers · 2022Article
- Patient experience, satisfaction and shared decision-making in colorectal cancer screening: protocol of the mixed-methods study CyDESA.BMJ open · 2022Article
- Screening Intention Prediction of Colorectal Cancer among Urban Chinese Based on the Protection Motivation Theory.International journal of environmental research and public health · 2022Article
- The integrated screening action model (I-SAM): A theory-based approach to inform intervention development.Preventive medicine reports · 2021Article
- Determinants Associated With Longitudinal Adherence to Annual Lung Cancer Screening: A Retrospective Analysis of Claims Data.Journal of the American College of Radiology : JACR · 2021Article
- Internet-based Tailored Virtual Human Health Intervention to Promote Colorectal Cancer Screening: Design Guidelines from Two User Studies.Intelligent virtual agents : ... International Workshop, IVA ... proceedings. IVA (Conference) · 2021Article
- Barriers to completing colonoscopy after a positive fecal occult blood test.Israel journal of health policy research · 2021Article
- Colorectal cancer-screening program improves both short- and long-term outcomes: a single-center experience in Trieste.Updates in surgery · 2020Article
- Creating an mHealth App for Colorectal Cancer Screening: User-Centered Design Approach.JMIR human factors · 2019Article
- Adherence to colorectal cancer screening measured as the proportion of time covered.Gastrointestinal endoscopy · 2018Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSocial cognitive variables are often examined for their association with initial participation in colorectal cancer screening. Few studies have examined the association of these variables with adherence to multiple screening offers i.e., rescreening. This study aimed to describe patterns of participatory behaviour after three rounds of screening using faecal immunochemical tests (FIT) and to determine social cognitive, demographic and background variables predictive of variations in adherence.
methodsParticipants were 1,540 men and women aged 50 to 75 living in South Australia who completed a behavioural survey measuring demographic (for example, age, gender) and social cognitive variables relevant to FIT screening (for example, perceived barriers, benefits, self-efficacy). The survey was followed by three, free FIT screening offers mailed on an annual basis from 2008 to 2010. Patterns of participation after three screening rounds were described as one of five screening behaviours; 1) consistent re-participation (adherent with all screening rounds), 2) consistent refusal (adherent with no screening rounds), 3) drop out (adherent with earlier but not later rounds), 4) intermittent re-participation (adherent with alternate rounds) and 5) delayed entry (adherent with later but not initial round(s)). Univariate (Chi Square and Analysis of Variance) and multivariate (Generalised Estimating Equations) analyses were conducted to determine variables predictive of each category of non-adherence (those that did not participate in every screening offer, groups 2, 3, 4 and 5) relative to consistent re-participation.
resultsSignificant social cognitive predictors of non-adherence were; less self-efficacy (drop out and consistent refusal), greater perceived barriers (drop out) and lower levels of response efficacy (consistent refusal). Demographic predictors of non-adherence included; male gender (delayed entry), younger age (intermittent, delayed and consistent refusal), less frequent GP visits (intermittent re-participation) and 'ancillary only' private health insurance (drop out). Less satisfaction with screening at baseline predicted drop out, consistent refusal and delayed entry.
conclusionsDifferent combinations of demographic and behavioural variables predicted different patterns of rescreening adherence. Rescreening interventions may benefit from a targeted approach that considers the different needs of the population subgroups. Satisfaction with past FOBT screening measured prior to the study screening offers was an important predictor of adherence.
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