OBJECTIVE: The purpose of this study was to evaluate the reliability of sleep disorder diagnoses in DSM-III-R by using a newly developed interview, the Structured Interview for Sleep Disorders According to DSM-III-R (SIS-D) and to evaluate the concordance between these diagnoses and sleep laboratory data. In addition, the sources of disagreements between two interviewers in the diagnoses given to the same patient were determined. METHOD: Two different interviewers used the SIS-D to diagnose 68 patients with complaints of sleep disorders. The concordance between these interviewers' diagnoses and polysomnographic findings was investigated by using kappa statistics. RESULTS: There were excellent reliabilities for almost all current main diagnostic categories and good concordance between diagnoses made on the basis of the structured interview and polysomnographic data. The main source of disagreement between interviewers was found in the symptom information given by the patient. CONCLUSIONS: These findings provide support for the utility of DSM-III-R sleep disorder diagnoses and for their retention in DSM-IV. These findings also accord well with a recent literature review of the DSM-III-R diagnosis of primary insomnia by the DSM-IV Work Group on Sleep Disorders. The good concordance between interview diagnoses and polysomnographic data suggests that a structured interview such as the SIS-D may be a useful screening instrument. The authors discuss the implications of these findings for the polysomnographic evaluation of chronic insomnia.
OBJECTIVE: The purpose of this study was to evaluate the reliability of sleep disorder diagnoses in DSM-III-R by using a newly developed interview, the Structured Interview for Sleep Disorders According to DSM-III-R (SIS-D) and to evaluate the concordance between these diagnoses and sleep laboratory data. In addition, the sources of disagreements between two interviewers in the diagnoses given to the same patient were determined. METHOD: Two different interviewers used the SIS-D to diagnose 68 patients with complaints of sleep disorders. The concordance between these interviewers' diagnoses and polysomnographic findings was investigated by using kappa statistics. RESULTS: There were excellent reliabilities for almost all current main diagnostic categories and good concordance between diagnoses made on the basis of the structured interview and polysomnographic data. The main source of disagreement between interviewers was found in the symptom information given by the patient. CONCLUSIONS: These findings provide support for the utility of DSM-III-R sleep disorder diagnoses and for their retention in DSM-IV. These findings also accord well with a recent literature review of the DSM-III-R diagnosis of primary insomnia by the DSM-IV Work Group on Sleep Disorders. The good concordance between interview diagnoses and polysomnographic data suggests that a structured interview such as the SIS-D may be a useful screening instrument. The authors discuss the implications of these findings for the polysomnographic evaluation of chronic insomnia.
Authors: Claudia M Campbell; Luis F Buenaver; Patrick Finan; Sara C Bounds; Mary Redding; Lea McCauley; Mercedes Robinson; Robert R Edwards; Michael T Smith Journal: Arthritis Care Res (Hoboken) Date: 2015-10 Impact factor: 4.794
Authors: Patrick H Finan; Jessica M Richards; Charlene E Gamaldo; Dingfen Han; Jeannie Marie Leoutsakos; Rachel Salas; Michael R Irwin; Michael T Smith Journal: J Clin Sleep Med Date: 2016-11-15 Impact factor: 4.062
Authors: Colleen E Carney; Jack D Edinger; Charles M Morin; Rachel Manber; Bruce Rybarczyk; Edward J Stepanski; Helen Wright; Leon Lack Journal: J Psychosom Res Date: 2010-01 Impact factor: 3.006