Saita Emanuela, Acquati Chiara, Molgora Sara, Vagnini Denise, Piccolo Eleonora Maria, Valenti Francesco, Stratta Gregorio, Grassi Massimo Maria
Department of Psychology, Università Cattolica Del Sacro Cuore, Milan, Italy.
Graduate College of Social Work, University of Houston, Houston, TX, USA.
Psychol Health Med. 2023 Feb;28(2):408-418. doi: 10.1080/13548506.2022.2073379. Epub 2022 May 6.
The literature has extensively documented how delayed access to health care services in the context of cancer can result from subjective characteristics, dysfunctional coping styles, barriers to care, or procrastination. However, limited research has investigated the psychosocial experience of women diagnosed with Locally Advanced Breast Cancer (LABC). This qualitative study aimed at understanding cognitive, emotional and relational factors associated with delayed access to care and treatment decision-making. In-depth interviews with 14 Italian women were conducted. A thematic analysis of elementary contexts using T-LAB was used to identify the association between emerging clusters and participants' coping styles as measured by the Mini-MAC. Five clusters were identified: . The '' cluster was characterized by elevated rates of Fighting Spirit ( < 0.01) while Anxious Preoccupation was associated with 'surgery' ( < 0.01). Findings contribute to explain individual and relational variables related to delay seeking care of LABC patients by illustrating the interplay of personal motivations and social networks' characteristics. Evidence from this work expands current understanding of the interplay of factors contributing to delays in seeking medical attention and may be utilized to inform strategies to timely identify women at greater risk.
文献已广泛记载,在癌症背景下,由于主观特征、功能失调的应对方式、就医障碍或拖延,可能导致获得医疗服务的延迟。然而,针对被诊断为局部晚期乳腺癌(LABC)的女性的心理社会经历的研究有限。这项定性研究旨在了解与延迟获得护理和治疗决策相关的认知、情感和关系因素。对14名意大利女性进行了深入访谈。使用T-LAB对基本背景进行主题分析,以确定新兴聚类与通过Mini-MAC测量的参与者应对方式之间的关联。确定了五个聚类:“……”聚类的特征是斗志昂扬率较高(<0.01),而焦虑全神贯注与“手术”相关(<0.01)。研究结果有助于通过说明个人动机和社会网络特征的相互作用,解释与LABC患者延迟就医相关的个体和关系变量。这项工作的证据扩展了目前对导致延迟就医的因素相互作用的理解,并可用于为及时识别风险更高的女性的策略提供信息。