Wright Katherine F, Bryant Louise D, Morley Stephen, Hewison Jenny, Duff Alistair J A, Peckham Daniel
Bradford Teaching Hospitals Foundation Trust, Bradford, UK.
Leeds Institute of Health Sciences, University of Leeds, Leeds, UK.
Health Expect. 2015 Oct;18(5):1349-62. doi: 10.1111/hex.12113. Epub 2013 Aug 2.
Cystic fibrosis (CF) is one of the most common life-threatening genetically inherited conditions and prenatal screening for CF is available in many countries. Genetic counsellors and other health professionals are expected to provide information about the condition in a way that facilitates personal decision making. Knowing what information to deliver about complex genetic conditions to support informed screening decisions can be challenging for health professionals.
To solicit views from those with personal experience with CF on which aspects of the condition they consider most important to include in prenatal screening materials.
Q-methodology; an approach to systematically explore variations in viewpoint that combines factor analytic techniques with qualitative approaches to pattern interpretation.
Twelve adults with CF and 18 parents of affected children were recruited from a regional centre in the UK.
Five distinct viewpoints on the items most and least important to include in screening information were identified: Factor 1 the normality of life with CF and increasing life expectancy; Factor 2 the hardships and reduced lifespan. Factor 3 medical interventions and the importance of societal support. Factor 4 longer-term consequences of CF. Factor 5 the ability to adjust to the condition.
The identification of five different views on what represented the most and least important information to include about CF highlights the challenge of portraying a complex genetic condition in a balanced and accurate manner. Novel ways in which Q-methodology findings can be used to meet this challenge are presented.
囊性纤维化(CF)是最常见的危及生命的遗传性疾病之一,许多国家都提供CF的产前筛查。遗传咨询师和其他健康专业人员需要以有助于个人决策的方式提供有关该疾病的信息。对于健康专业人员来说,确定提供哪些关于复杂遗传疾病的信息以支持明智的筛查决策可能具有挑战性。
征求有CF个人经历的人对他们认为产前筛查材料中最重要纳入的疾病方面的意见。
Q方法;一种将因素分析技术与定性方法相结合以进行模式解释的系统探索观点差异的方法。
从英国一个地区中心招募了12名成年CF患者和18名患病儿童的父母。
确定了关于筛查信息中最重要和最不重要纳入项目的五种不同观点:因素1:CF患者的正常生活及预期寿命增加;因素2:艰难困苦和寿命缩短;因素3:医疗干预和社会支持的重要性;因素4:CF的长期后果;因素5:适应病情的能力。
对CF最重要和最不重要纳入信息的五种不同观点的识别凸显了以平衡和准确的方式描述复杂遗传疾病的挑战。提出了利用Q方法研究结果应对这一挑战的新方法。