Patient perspectives on factors influencing active surveillance adherence for low-risk prostate cancer: A qualitative study

患者对影响低风险前列腺癌主动监测依从性的因素的看法:一项定性研究

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Abstract

BACKGROUND: Prostate cancer is the most common cancer among men in the United States. Treatment guidelines recommend active surveillance for low-risk prostate cancer, which involves monitoring for progression, to avoid or delay definitive treatments and their side effects. Despite increased uptake, adherence to surveillance remains a challenge. METHODS: We conducted semi-structured, qualitative, virtual interviews based on the Theoretical Domains Framework (TDF), with men (15) who were or had been on active surveillance for their low-risk prostate cancer in 2020. Interviews were transcribed and coded under TDF's behavioral theory-based domains. We analyzed domains related to adherence to surveillance using constructivist grounded theory to identify themes influencing decision processes in adherence. RESULTS: The TDF domains of emotion, beliefs about consequences, environmental context and resources, and social influences were most relevant to surveillance adherence-. From these four TDF domains, three themes emerged as underlying decision processes: trust in surveillance as treatment, quality of life, and experiences of self and others. Positive perceptions of these three themes supported adherence while negative perceptions contributed to non-adherence (i.e., not receiving follow-up or stopping surveillance). The relationship between the TDF domains and themes provided a theoretical process describing factors impacting active surveillance adherence for men with low-risk prostate cancer. CONCLUSIONS: Men identified key factors impacting active surveillance adherence that provide opportunities for clinical implementation and practice improvement. Future efforts should focus on multi-level interventions that foster trust in surveillance as treatment, emphasize quality of life benefits and enhance patients' interpersonal experiences while on surveillance to optimize adherence.

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