AI Article Synopsis

  • The paper investigates how informing women about breast cancer screening impacts their knowledge, concern for future consequences, and worry about breast cancer.
  • It also explores how these factors influence their intention to participate in screening via feelings of regret, decision-making conflicts, and attitudes toward the screening.
  • The findings suggest that while knowledge gained from information does not directly affect screening intentions, behavioral factors significantly do, highlighting the need for tailored health policies in screening processes.

Article Abstract

Objectives: The paper has two objectives. The first one examines whether informing women about the benefits and adverse effects of breast cancer screening could have an effect on three variables: their knowledge, the importance women attach to the future consequences of their current decisions (time perspective), and the degree to which women are worried about developing breast cancer (worry). The second one examines whether these three variables affect their intention to participate in the screening, either directly or indirectly through their feeling of regret if they do not attend the screening (anticipated regret); through their values and the support they receive in making their decisions (decisional conflict); and, through the perceived acceptability and benefits of the screening programme (attitude).

Methods: Partial least squares-structural equation modelling (PLS-SEM) is used to analyse both objectives and to differentiate between direct, indirect, and moderating effects, due to the incorporation in the model of the three mediating variables (anticipated regret, decisional conflict, and attitude) and a moderating variable (educational level).

Results: Information affects knowledge (objective variable), but not the behavioural variables (time perspective and worry). On the other hand, the level of knowledge has no direct or indirect effect on intention, but behavioural variables do affect it through the mediating variables.

Conclusions: The variables of the planned behaviour theory are relevant to understand women's decisions and to be able to take appropriate health policy measures. Doing so, the processes of personalised screening would improve, or there would be the incorporation of shared decision-making in this context; these being demands associated with the most recent goals achieved in health programmes in many countries.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9897558PMC
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0281454PLOS

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