Psychometric properties of a scale to measure investment in the sick role: the Illness Cognitions Scale

克朗巴赫阿尔法 结构效度 比例(比率) 心理学 临床心理学 心理测量学 认知 构造(python库) 精神科 计算机科学 量子力学 物理 程序设计语言
作者
Michael Berk,Lesley Berk,Seetal Dodd,Felice N. Jacka,Paul B. Fitzgerald,Anthony R. de Castella,Sacha Filia,Kate Filia,Jayashri Kulkarni,Henry J. Jackson,Lesley Stafford
出处
期刊:Journal of Evaluation in Clinical Practice [Wiley]
卷期号:18 (2): 360-364 被引量:18
标识
DOI:10.1111/j.1365-2753.2010.01570.x
摘要

Abstract Rationale, aims and objectives A person's beliefs about their illness may contribute to recovery and prognosis. Some degree of acceptance of illness and its impact is necessary to integrate the presence of a chronic disorder into one's lifestyle and adhere to necessary components of illness management; however, some individuals can become ‘stuck’ and have difficulty adjusting out of the sick role. Inventories exist to measure illness cognitions, attitudes and behaviours as they relate to hypochondria and psychosomatic illness, but there is no extant measure of sick role inertia. We describe the psychometric properties of a new scale, the Illness Cognitions Scale (ICS), a metric of investment in the sick role. Methods The ICS was administered to 97 individuals with bipolar or schizoaffective disorder, and the psychometric properties of the scale measured. Dimensionality was assessed using Principal Components Analysis with Oblimin rotation. Results The scale has a strong internal consistency, with a Cronbach's alpha of 0.858. Results of a factor analysis suggested the presence of one main factor, with three other smaller, related sub‐factors, capturing aspects of maladaptive illness beliefs. Conclusion The ICS is a 17‐item, internally validated scale measuring difficulty adjusting out of the sick role. The scale predominantly measures a single construct. Further research on external validity of the ICS is required as well as determination of the clinical significance and patient acceptability of the scale.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
小宇完成签到 ,获得积分10
刚刚
刚刚
1秒前
zc发布了新的文献求助10
1秒前
3秒前
4秒前
4秒前
4秒前
maoyingji发布了新的文献求助10
5秒前
xiaoxin完成签到,获得积分10
5秒前
ch发布了新的文献求助10
6秒前
yxy发布了新的文献求助10
6秒前
CHI发布了新的文献求助10
7秒前
烟里戏发布了新的文献求助10
8秒前
9秒前
CodeCraft应助樟木头采纳,获得10
10秒前
777完成签到,获得积分10
10秒前
FU发布了新的文献求助10
10秒前
甜甜的山柳完成签到,获得积分10
11秒前
12秒前
12秒前
13秒前
maoyingji完成签到,获得积分10
13秒前
14秒前
夏夏发布了新的文献求助10
14秒前
小柏学长完成签到,获得积分10
15秒前
JamesPei应助zlh采纳,获得10
15秒前
16秒前
Cai发布了新的文献求助10
16秒前
16秒前
超级铅笔完成签到,获得积分20
18秒前
19秒前
DAYTOY完成签到,获得积分10
19秒前
于听枫完成签到 ,获得积分10
20秒前
烟花应助ethan采纳,获得10
20秒前
20秒前
zhhyi1976发布了新的文献求助10
22秒前
22秒前
陵墨影发布了新的文献求助10
24秒前
情长不过时光完成签到,获得积分10
24秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
晶种分解过程与铝酸钠溶液混合强度关系的探讨 8888
Les Mantodea de Guyane Insecta, Polyneoptera 2000
Leading Academic-Practice Partnerships in Nursing and Healthcare: A Paradigm for Change 800
Signals, Systems, and Signal Processing 610
The Sage Handbook of Digital Labour 600
The formation of Australian attitudes towards China, 1918-1941 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6417315
求助须知:如何正确求助?哪些是违规求助? 8236475
关于积分的说明 17495562
捐赠科研通 5470004
什么是DOI,文献DOI怎么找? 2889790
邀请新用户注册赠送积分活动 1866779
关于科研通互助平台的介绍 1703991