Factors influencing intention to participate in breast cancer screening. An exploratory structural model.

<h4>Objectives</h4>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 curr...

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Main Authors: María Belén López-Panisello, María José Pérez-Lacasta, Montserrat Rué, Misericòrdia Carles-Lavila
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2023-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0281454
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author María Belén López-Panisello
María José Pérez-Lacasta
Montserrat Rué
Misericòrdia Carles-Lavila
author_facet María Belén López-Panisello
María José Pérez-Lacasta
Montserrat Rué
Misericòrdia Carles-Lavila
author_sort María Belén López-Panisello
collection DOAJ
description <h4>Objectives</h4>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).<h4>Methods</h4>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).<h4>Results</h4>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.<h4>Conclusions</h4>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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spelling doaj.art-f59c6d6a3ab241fe8e389d0881b0e77d2023-02-09T05:32:14ZengPublic Library of Science (PLoS)PLoS ONE1932-62032023-01-01182e028145410.1371/journal.pone.0281454Factors influencing intention to participate in breast cancer screening. An exploratory structural model.María Belén López-PaniselloMaría José Pérez-LacastaMontserrat RuéMisericòrdia Carles-Lavila<h4>Objectives</h4>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).<h4>Methods</h4>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).<h4>Results</h4>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.<h4>Conclusions</h4>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.https://doi.org/10.1371/journal.pone.0281454
spellingShingle María Belén López-Panisello
María José Pérez-Lacasta
Montserrat Rué
Misericòrdia Carles-Lavila
Factors influencing intention to participate in breast cancer screening. An exploratory structural model.
PLoS ONE
title Factors influencing intention to participate in breast cancer screening. An exploratory structural model.
title_full Factors influencing intention to participate in breast cancer screening. An exploratory structural model.
title_fullStr Factors influencing intention to participate in breast cancer screening. An exploratory structural model.
title_full_unstemmed Factors influencing intention to participate in breast cancer screening. An exploratory structural model.
title_short Factors influencing intention to participate in breast cancer screening. An exploratory structural model.
title_sort factors influencing intention to participate in breast cancer screening an exploratory structural model
url https://doi.org/10.1371/journal.pone.0281454
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