TY - JOUR
T1 - The Sleep Condition Indicator: A clinical screening tool to evaluate insomnia disorder
AU - Espie, Colin A.
AU - Kyle, Simon D.
AU - Hames, Peter
AU - Gardani, Maria
AU - Fleming, Leanne
AU - Cape, John
PY - 2014
Y1 - 2014
N2 - Objective: Describe the development and psychometric validation of a brief scale (the Sleep Condition Indicator (SCI)) to evaluate insomnia disorder in everyday clinical practice. Design: The SCI was evaluated across five study samples. Content validity, internal consistency and concurrent validity were investigated. Participants: 30 941 individuals (71% female) completed the SCI along with other descriptive demographic and clinical information. Setting: Data acquired on dedicated websites. Results: The eight-item SCI (concerns about getting to sleep, remaining asleep, sleep quality, daytime personal functioning, daytime performance, duration of sleep problem, nights per week having a sleep problem and extent troubled by poor sleep) had robust internal consistency (α≥0.86) and showed convergent validity with the Pittsburgh Sleep Quality Index and Insomnia Severity Index. A two-item short-form (SCI-02: nights per week having a sleep problem, extent troubled by poor sleep), derived using linear regression modelling, correlated strongly with the SCI total score (r=0.90). Conclusions: The SCI has potential as a clinical screening tool for appraising insomnia symptoms against Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) criteria.
AB - Objective: Describe the development and psychometric validation of a brief scale (the Sleep Condition Indicator (SCI)) to evaluate insomnia disorder in everyday clinical practice. Design: The SCI was evaluated across five study samples. Content validity, internal consistency and concurrent validity were investigated. Participants: 30 941 individuals (71% female) completed the SCI along with other descriptive demographic and clinical information. Setting: Data acquired on dedicated websites. Results: The eight-item SCI (concerns about getting to sleep, remaining asleep, sleep quality, daytime personal functioning, daytime performance, duration of sleep problem, nights per week having a sleep problem and extent troubled by poor sleep) had robust internal consistency (α≥0.86) and showed convergent validity with the Pittsburgh Sleep Quality Index and Insomnia Severity Index. A two-item short-form (SCI-02: nights per week having a sleep problem, extent troubled by poor sleep), derived using linear regression modelling, correlated strongly with the SCI total score (r=0.90). Conclusions: The SCI has potential as a clinical screening tool for appraising insomnia symptoms against Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) criteria.
U2 - 10.1136/bmjopen-2013-004183
DO - 10.1136/bmjopen-2013-004183
M3 - Article
SN - 2044-6055
VL - 4
JO - BMJ Open
JF - BMJ Open
IS - 3
M1 - e004183
ER -