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A health action process approach for developing invitee endorsed interventions to increase mail-out bowel cancer screening
Applied Psychology: Health and Well-Being ( IF 7.521 ) Pub Date : 2022-02-02 , DOI: 10.1111/aphw.12346
Larry Myers 1, 2, 3 , Belinda Goodwin 1, 2 , Nicholas Ralph 2, 4, 5 , Sonja March 2, 3
Affiliation  

Theory-based, user-informed interventions are needed to increase the low participation rates of population-based faecal occult blood test (FOBT) bowel cancer screening. This study investigated the theoretical fit of the health action process approach (HAPA) for home FOBT screening and measured screening invitees' attitudes towards different intervention strategies. A cross-sectional sample (n = 377), aged 50–74 years, participated in this study. Two scales were created for this study. The process approach to mail-out screening (PAMS) scale measured HAPA constructs, and the user ratings of mail-out screening interventions (UR-MSI) scale measured attitudes towards different intervention strategies. Structural equation modelling was used to assess the fit of PAMS scale responses to the HAPA model, and descriptive statistics were calculated for UR-MSI responses. PAMS results showed acceptable model fit, CFI = .968, RMSEA = .050 and explained 49.9% of the variation in FOBT screening participation. Positive ratings of interventions ranged from 20.47%, an intervention prompting planning to complete the FOBT kit, to 72.25%, an intervention promoting the positive health outcome associated with FOBT screening. Intervention strategies should be combined such that they target all factors specified within the HAPA model. User-informed intervention design should be used to effectively facilitate FOBT uptake in the community.

中文翻译:

一种健康行动过程方法,用于开发受邀者认可的干预措施,以增加邮寄肠癌筛查

需要基于理论的、用户知情的干预措施来提高基于人群的粪便潜血试验 (FOBT) 肠癌筛查的低参与率。本研究调查了家庭 FOBT 筛查的健康行动过程方法 (HAPA) 的理论契合度,并测量了筛查受邀者对不同干预策略的态度。横截面样本(n = 377),年龄在 50-74 岁之间,参加了这项研究。为此研究创建了两个量表。邮寄筛查(PAMS)量表的过程方法测量了HAPA结构,邮寄筛查干预(UR-MSI)量表的用户评分测量了对不同干预策略的态度。结构方程模型用于评估 PAMS 量表响应对 HAPA 模型的拟合,并计算 UR-MSI 响应的描述性统计数据。PAMS 结果显示可接受的模型拟合,CFI = .968,RMSEA = .050,并解释了 49.9% 的 FOBT 筛查参与变化。干预的积极评价范围从 20.47%(一种促使计划完成 FOBT 工具包的干预)到 72.25%(一种促进与 FOBT 筛查相关的积极健康结果的干预)。干预策略应该结合起来,以便它们针对 HAPA 模型中指定的所有因素。应使用用户知情的干预设计来有效促进社区对 FOBT 的接受。
更新日期:2022-02-10
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