Department of Gynecologic Oncology, Moffitt Cancer Center, Tampa, FL, USA.
Department of Obstetrics and Gynecology, University of South Florida, Tampa, FL, USA.
Support Care Cancer. 2021 May;29(5):2663-2677. doi: 10.1007/s00520-020-05779-1. Epub 2020 Sep 25.
Identify predisposing, enabling, and reinforcing factors impacting genetic counseling/testing among ovarian cancer patients guided by Green and Kreuter's PRECEDE-PROCEED model.
Gynecologic oncology providers (N = 4), genetic counselors (N = 4), and ovarian cancer patients (N = 9) completed semi-structured qualitative interviews exploring participants' knowledge of and experiences with genetic counseling/testing. Interviews were audio recorded, transcribed verbatim, and analyzed using inductive content analysis by two independent raters.
Thematic analysis identified predisposing, enabling, and reinforcing factors impacting referral for and uptake of genetic counseling/testing. Predisposing factors included participant's knowledge, beliefs, and attitudes related to genetic counseling/testing. Both patients and providers also cited that insurance coverage and out-of-pocket cost are major concerns for ovarian cancer patients considering genetic testing. Finally, both patients and providers emphasized that genetic counseling/testing would provide additional information to an ovarian cancer patient. While providers emphasized that genetic testing results were useful for informing a patient's personal treatment plan, patients emphasized that this knowledge would be beneficial for their family members.
Barriers to genetic testing for ovarian cancer patients exist at multiple levels, including the patient (e.g., knowledge, attitudes), the provider (e.g., workload, availability of services), the institution (e.g., difficulty with referrals/scheduling), and the healthcare system (e.g., insurance/cost). Interventions aiming to increase genetic testing among ovarian cancer patients will likely need to target multiple levels of influence. Future quantitative studies are needed to replicate these results. This line of work will inform specific multilevel intervention strategies that are adaptable to different practice settings, ultimately improving guideline concordant care.
根据 Green 和 Kreuter 的 PRECEDE-PROCEED 模式,确定影响卵巢癌患者接受遗传咨询/检测的倾向因素、促成因素和强化因素。
妇科肿瘤医生(N=4)、遗传咨询师(N=4)和卵巢癌患者(N=9)完成了半结构化定性访谈,探讨了参与者对遗传咨询/检测的了解程度和经验。访谈进行了录音,逐字转录,并由两名独立的评估员使用归纳内容分析法进行分析。
主题分析确定了影响遗传咨询/检测转介和接受的倾向、促成和强化因素。倾向因素包括参与者与遗传咨询/检测相关的知识、信念和态度。患者和提供者都提到,保险覆盖范围和自付费用是考虑进行基因检测的卵巢癌患者的主要关注点。最后,患者和提供者都强调,遗传咨询/检测将为卵巢癌患者提供额外的信息。虽然提供者强调基因检测结果对患者的个人治疗计划很有用,但患者强调,这些知识对他们的家庭成员也有益。
卵巢癌患者进行基因检测存在多个层次的障碍,包括患者(如知识、态度)、提供者(如工作量、服务可用性)、机构(如转诊/预约困难)和医疗保健系统(如保险/费用)。旨在增加卵巢癌患者基因检测的干预措施可能需要针对多个影响层面。未来需要进行定量研究来复制这些结果。这项工作将为特定的多层次干预策略提供信息,这些策略可适应不同的实践环境,最终改善符合指南的护理。