Wang Catharine, Sen Ananda, Plegue Melissa, Ruffin Mack T, O'Neill Suzanne M, Rubinstein Wendy S, Acheson Louise S
Department of Community Health Sciences, Boston University School of Public Health, Boston, USA.
Department of Biostatistics, University of Michigan, Ann Arbor, USA; Department of Family Medicine, University of Michigan, Ann Arbor, USA.
Prev Med. 2015 Aug;77:28-34. doi: 10.1016/j.ypmed.2015.04.007. Epub 2015 Apr 19.
This study examines the impact of Family Healthware™ on communication behaviors; specifically, communication with family members and health care providers about family health history.
A total of 3786 participants were enrolled in the Family Healthware™ Impact Trial (FHITr) in the United States from 2005-7. The trial employed a two-arm cluster-randomized design, with primary care practices serving as the unit of randomization. Using generalized estimating equations (GEE), analyses focused on communication behaviors at 6month follow-up, adjusting for age, site and practice clustering.
A significant interaction was observed between study arm and baseline communication status for the family communication outcomes (p's<.01), indicating that intervention had effects of different magnitude between those already communicating at baseline and those who were not. Among participants who were not communicating at baseline, intervention participants had higher odds of communicating with family members about family history risk (OR=1.24, p=0.042) and actively collecting family history information at follow-up (OR=2.67, p=0.026). Family Healthware™ did not have a significant effect on family communication among those already communicating at baseline, or on provider communication, regardless of baseline communication status. Greater communication was observed among those at increased familial risk for a greater number of diseases.
Family Healthware™ prompted more communication about family history with family members, among those who were not previously communicating. Efforts are needed to identify approaches to encourage greater sharing of family history information, particularly with health care providers.
本研究探讨家庭健康软件(Family Healthware™)对沟通行为的影响;具体而言,是关于与家庭成员及医疗服务提供者就家族健康史进行的沟通。
2005年至2007年期间,共有3786名参与者在美国参与了家庭健康软件影响试验(FHITr)。该试验采用双臂整群随机设计,以初级保健机构作为随机分组单位。使用广义估计方程(GEE),分析聚焦于6个月随访时的沟通行为,并对年龄、地点和机构聚类进行了调整。
在家庭沟通结果方面,研究组与基线沟通状态之间观察到显著的交互作用(p值<0.01),这表明干预对基线时已进行沟通的人群和未进行沟通的人群产生的影响程度不同。在基线时未进行沟通的参与者中,干预组参与者与家庭成员就家族病史风险进行沟通的几率更高(比值比[OR]=1.24,p=0.042),且在随访时积极收集家族病史信息的几率更高(OR=2.67,p=0.026)。无论基线沟通状态如何,家庭健康软件对基线时已进行沟通的人群之间的家庭沟通或与医疗服务提供者的沟通均无显著影响。在家族性疾病风险增加的人群中观察到更多的沟通。
家庭健康软件促使之前未进行沟通的人群与家庭成员就家族病史进行了更多沟通。需要努力确定鼓励更多地分享家族病史信息的方法,特别是与医疗服务提供者分享。