ABSTRACT
Cognitive-behavioral therapy for insomnia (CBT-I) has emerged as the first-line treatment for chronic insomnia but remains massively underused relative to the prevalence of insomnia disorder. This article focuses on 3 key issues in the delivery of CBT-I in the real world. First, where and how should CBT-I be delivered and who should deliver it? Second, who is an appropriate candidate for CBT-I? Third, how do you measure quality care with CBT-I? These issues give rise to targets for future research aimed at improving the implementation science of CBT-I in the real world.
Subject(s)
Cognitive Behavioral Therapy/methods , Cognitive Behavioral Therapy/standards , Sleep Initiation and Maintenance Disorders/therapy , Female , HumansABSTRACT
OBJECTIVE: A complaint of insomnia may have many causes. A brief tool examining contributing factors may be useful for nonsleep specialists. This study describes the development of the Insomnia Symptoms Assessment (ISA) for examining insomnia complaints. METHOD: ISA questions were designed to identify symptoms that may represent 1 of 8 possible factors contributing to insomnia symptoms, including delayed sleep phase syndrome (DSPS), shift work sleep disorder (SWSD), obstructive sleep apnea (OSA), mental health, chronic pain, restless leg syndrome (RLS), poor sleep hygiene, and psychophysiological insomnia (PI). The ISA was completed by 346 new patients. Patients met with a sleep specialist who determined primary and secondary diagnoses. RESULTS: Mean age was 45 (18-85) years and 51% were male. Exploratory factor analysis (n = 217) and confirmatory factor analysis (n = 129) supported 5 factors with good internal consistency (Cronbach's alpha), including RLS (.72), OSA (.60), SWSD (.67), DSPS (.64), and PI (.80). Thirty percent had 1 sleep diagnosis with a mean of 2.2 diagnoses per patient. No diagnosis was entered for 1.2% of patients. The receiver operating characteristics were examined and the area under the curves calculated as an indication of convergent validity for the primary diagnosis (N = 346) were .97 for SWSD, .78 for OSA, .67 for DSPS, .54 for PI, and .80 for RLS. CONCLUSION: The ISA demonstrated good internal consistency and corresponds well to expert diagnoses. Next steps include setting sensitivity/specificity cutoffs to suggest initial treatment recommendations for use in other settings. (PsycINFO Database Record
Subject(s)
Sleep Initiation and Maintenance Disorders/diagnosis , Sleep Initiation and Maintenance Disorders/psychology , Symptom Assessment/methods , Adult , Aged , Aged, 80 and over , Cohort Studies , Female , Humans , Male , Middle Aged , Restless Legs Syndrome/diagnosis , Restless Legs Syndrome/physiopathology , Restless Legs Syndrome/psychology , Sleep/physiology , Sleep Apnea, Obstructive/diagnosis , Sleep Apnea, Obstructive/physiopathology , Sleep Apnea, Obstructive/psychology , Sleep Initiation and Maintenance Disorders/physiopathologyABSTRACT
The goal of this study was to identify factors related to client satisfaction with respite services. Data were analyzed from interviews with 1183 family caregivers participating in the AoA Demonstration Grants to States program. Two groups of potential explanatory variables were examined: (1) characteristics of client families, and (2) caregivers' perceptions of service delivery. Separate regression models were estimated for users of in-home respite and adult day care. Factors related to satisfaction with in-home respite included elder's ADL, ethnicity, caregivers' expectations for what the respite worker would and would not do, access to services, and the amount of red tape. Factors related to satisfaction with adult day care included the caregiver's age and health, ethnicity, caregivers' expectations for what the respite worker would and would not do, access to services, and the amount of red tape. Differences be- tween the models are discussed in the context of how providers can improve client satisfaction with respite services.
