MacIsaac Rachael, Ali Myzoon, Peters Michele, English Coralie, Rodgers Helen, Jenkinson Crispin, Lees Kennedy R, Quinn Terence J
Institute of Cardiovascular and Medical Sciences, University of Glasgow, UK.
Nuffield Department of Population Health, University of Oxford, UK.
J Am Heart Assoc. 2016 May 20;5(5):e003108. doi: 10.1161/JAHA.115.003108.
The Stroke Impact Scale (SIS) is a stroke-specific, quality of life measure recommended for research and clinical practice. Completion rates are suboptimal and could relate to test burden. We derived and validated a short form SIS (SF-SIS).
We examined data from the Virtual International Stroke Trial Archive, generating derivation and validation populations. We derived an SF-SIS by selecting 1 item per domain of SIS, choosing items most highly correlated with total domain score. Our validation described agreement of SF-SIS with original SIS and the SIS-16 and correlation with Barthel Index, modified Rankin Scale, National Institutes of Health Stroke Scale, and Euro-QoL 5 dimensions visual analog scales. We assessed discriminative validity (associations between SF-SIS and factors known to influence outcome [age, physiological parameters, and comorbidity]). We assessed face validity and acceptability by sharing the SF-SIS with a focus group of stroke survivors and multidisciplinary stroke healthcare staff. From 5549 acute study patients (mean age 68.5 [SD 13] years, mean SIS 64 [SD 32]) and 332 rehabilitation patients (mean age 65.7 [SD 11] years, mean SIS 61 [SD 11]), we derived an 8-item SF-SIS that demonstrated good agreement with original SIS and good correlation with our chosen functional and quality of life measures (all ρ>0.70, P<0.0001). Significant associations were seen with our chosen predictors of stroke outcome in the acute group (P<0.0001). The focus group agreed with the choice of items for SF-SIS across 7 of 8 domains.
Using multiple, complementary methods, we have derived an SF-SIS and demonstrated content, convergent, and discriminant validity. This shortened SIS should allow collection of robust quality of life data with less associated test burden.
卒中影响量表(SIS)是一种专门针对卒中的生活质量测量工具,推荐用于研究和临床实践。其完成率不理想,可能与测试负担有关。我们推导并验证了一个简短形式的SIS(SF-SIS)。
我们检查了虚拟国际卒中试验档案中的数据,生成了推导人群和验证人群。我们通过在SIS的每个领域选择1个项目来推导SF-SIS,选择与领域总分相关性最高的项目。我们的验证描述了SF-SIS与原始SIS和SIS-16的一致性,以及与巴氏指数、改良Rankin量表、美国国立卫生研究院卒中量表和欧洲五维健康量表视觉模拟量表的相关性。我们评估了区分效度(SF-SIS与已知影响预后的因素[年龄、生理参数和合并症]之间的关联)。我们通过与一组卒中幸存者和多学科卒中医护人员分享SF-SIS来评估表面效度和可接受性。从5549例急性研究患者(平均年龄68.5[标准差13]岁,平均SIS 64[标准差32])和332例康复患者(平均年龄65.7[标准差11]岁,平均SIS 61[标准差11])中,我们推导了一个8项的SF-SIS,它与原始SIS显示出良好的一致性,与我们选择的功能和生活质量测量指标具有良好的相关性(所有ρ>0.70,P<0.0001)。在急性组中,与我们选择的卒中预后预测指标存在显著关联(P<0.0001)。焦点小组在8个领域中的7个领域同意SF-SIS项目的选择。
使用多种互补方法,我们推导了一个SF-SIS,并证明了其内容效度、收敛效度和区分效度。这种缩短的SIS应能在减少相关测试负担的情况下收集可靠的生活质量数据。