"Go! to Sleep": A Web-Based Therapy for Insomnia

Perpetuating and protective factors in insomnia across racial/ethnic groups of veterans

Few studies have examined racial/ethnic differences in rates and correlates of insomnia among veterans. This study compared rates of insomnia and interest in sleep treatment among veterans of diverse racial/ethnic backgrounds. Consistent with the 3P model, we tested racial discrimination as a predictor of insomnia, with post-traumatic stress disorder symptoms and romantic partners as perpetuating and protective moderators of this association, respectively. A total of 325 veterans (N = 236 veterans of colour; 12% Asian, 36% Black, 14% Hispanic/Latine) completed questionnaires online from remote locations. Descriptive statistics were used to compare patterns across racial/ethnic groups. Linear regression was used to test moderators of the association between racial discrimination and insomnia severity. Overall, 68% of participants screened positive for insomnia: 90% of Asian; 79% of Hispanic/Latine; 65% of Black; and 58% of White participants. Of those, 74% reported interest in sleep treatment, and 76% of those with partners reported interest in including their partner in treatment. Racial discrimination and post-traumatic stress disorder were correlated with more severe insomnia, while romantic partners were correlated with less severe insomnia. Only post-traumatic stress disorder moderated the association between racial discrimination and insomnia severity. Rates of insomnia were highest among Asian and Hispanic/Latine participants, yet these groups were among the least likely to express interest in sleep treatment. Racial discrimination may exacerbate insomnia symptoms among veterans, but only among those who do not already have disturbed sleep in the context of post-traumatic stress disorder. Romantic partners may serve as a protective factor in insomnia, but do not seem to mitigate the impact of racial discrimination.

Effects of different interventions on insomnia in adults: Systematic review and network meta-analysis

OBJECTIVE

Insomnia is a common sleep disorder. There are many clinical-intervention methods for treating this condition, but thus far, the most effective method has not been determined.

METHODS

We conducted a network meta-analysis by including random evidence of insomnia improvement in people over 18 years old, without other physical diseases. From January 1, 1990 to June 15, 2022, we searched multiple electronic databases for randomized controlled trials of different insomnia-related, clinical-intervention methods. R software was used to analyze 10 indices, in order to evaluate the effect of sleep improvement. Primary outcomes comprised Pittsburgh sleep quality-index (PSQI) scores and insomnia severity-index (ISI) scores.

RESULTS

Finally, 122 randomized controlled trials were included in our study. For the PSQI scores, we found the sequence of intervention measures by effect to be as follows: electroacupuncture, acupuncture, repetitive transcranial magnetic stimulation (rTMS), essential oils, herbal medicine, traditional Western medicine, Tai Chi and Baduanjin, music, supplements, cognitive behavioral therapy for insomnia (CBT-I), and exercise. The results for ISI were similar to those for PSQI, but with slight differences.

CONCLUSION

Our research results indicate that various measures have a certain effect on improving sleep, among which the effect of instruments is more prominent. The curative effect of placebo groups was better than that of blank control groups. There is essentially no statistical difference in detailed classification within the same intervention category.

Travel Burden as a Measure of Healthcare Access and the Impact of Telehealth within the Veterans Health Administration

BACKGROUND

Travel is a major barrier to healthcare access for Veteran Affairs (VA) patients, and disproportionately affects rural Veterans (approximately one quarter of Veterans). The CHOICE/MISSION acts' intent is to increase timeliness of care and decrease travel, although not clearly demonstrated. The impact on outcomes remains unclear. Increased community care increases VA costs and increases care fragmentation. Retaining Veterans within the VA is a high priority, and reduction of travel burdens will help achieve this goal. Sleep medicine is presented as a use case to quantify travel related barriers.

OBJECTIVE

The Observed and Excess Travel Distances are proposed as two measures of healthcare access, allowing for quantification of healthcare delivery related to travel burden. A telehealth initiative that reduced travel burden is presented.

DESIGN

Retrospective, observational, utilizing administrative data.

SUBJECTS

VA patients with sleep related care between 2017 and 2021. In-person encounters: Office visits and polysomnograms; telehealth encounters: virtual visits and home sleep apnea tests (HSAT).

MAIN MEASURES

Observed distance: distance between Veteran's home and treating VA facility. Excess distance: difference between where Veteran received care and nearest VA facility offering the service of interest. Avoided distance: distance between Veteran's home and nearest VA facility offering in-person equivalent of telehealth service.

KEY RESULTS

In-person encounters peaked between 2018 and 2019, and have down trended since, while telehealth encounters have increased. During the 5-year period, Veterans traveled an excess 14.1 million miles, while 10.9 million miles of travel were avoided due to telehealth encounters, and 48.4 million miles were avoided due to HSAT devices.

CONCLUSIONS

Veterans often experience a substantial travel burden when seeking medical care. Observed and excess travel distances are valuable measures to quantify this major healthcare access barrier. These measures allow for assessment of novel healthcare approaches to improve Veteran healthcare access and identify specific regions that may benefit from additional resources.

eHealth-Based Psychosocial Interventions for Adults With Insomnia: Systematic Review and Meta-analysis of Randomized Controlled Trials

BACKGROUND

Worldwide, insomnia remains a highly prevalent public health problem. eHealth presents a novel opportunity to deliver effective, accessible, and affordable insomnia treatments on a population-wide scale. However, there is no quantitative integration of evidence regarding the effectiveness of eHealth-based psychosocial interventions on insomnia.

OBJECTIVE

We aimed to evaluate the effectiveness of eHealth-based psychosocial interventions for insomnia and investigate the influence of specific study characteristics and intervention features on these effects.

METHODS

We searched PubMed, Embase, Web of Science, PsycINFO, and the Cochrane Central Register of Controlled Trials from database inception to February 16, 2021, for publications investigating eHealth-based psychosocial interventions targeting insomnia and updated the search of PubMed to December 6, 2021. We also screened gray literature for unpublished data. Eligible studies were randomized controlled trials of eHealth-based psychosocial interventions targeting adults with insomnia. Random-effects meta-analysis models were used to assess primary and secondary outcomes. Primary outcomes were insomnia severity and sleep quality. Meta-analyses were performed by pooling the effects of eHealth-based psychosocial interventions on insomnia compared with inactive and in-person conditions. We performed subgroup analyses and metaregressions to explore specific factors that affected the effectiveness. Secondary outcomes included sleep diary parameters and mental health-related outcomes.

RESULTS

Of the 19,980 identified records, 37 randomized controlled trials (13,227 participants) were included. eHealth-based psychosocial interventions significantly reduced insomnia severity (Hedges g=-1.01, 95% CI -1.12 to -0.89; P<.001) and improved sleep quality (Hedges g=-0.58, 95% CI -0.75 to -0.41; P<.001) compared with inactive control conditions, with no evidence of publication bias. We found no significant difference compared with in-person treatment in alleviating insomnia severity (Hedges g=0.41, 95% CI -0.02 to 0.85; P=.06) and a significant advantage for in-person treatment in enhancing sleep quality (Hedges g=0.56, 95% CI 0.24-0.88; P<.001). eHealth-based psychosocial interventions had significantly larger effects (P=.01) on alleviating insomnia severity in clinical samples than in subclinical samples. eHealth-based psychosocial interventions that incorporated guidance from trained therapists had a significantly greater effect on insomnia severity (P=.05) and sleep quality (P=.02) than those with guidance from animated therapists or no guidance. Higher baseline insomnia severity and longer intervention duration were associated with a larger reduction in insomnia severity (P=.004). eHealth-based psychosocial interventions significantly improved each secondary outcome.

CONCLUSIONS

eHealth interventions for insomnia are effective in improving sleep and mental health and can be considered a promising treatment for insomnia. Our findings support the wider dissemination of eHealth interventions and their further promotion in a stepped-care model. Offering blended care could improve treatment effectiveness. Future research needs to elucidate which specific intervention components are most important to achieve intervention effectiveness. Blended eHealth interventions may be tailored to benefit people with low socioeconomic status, limited access to health care, or lack of eHealth literacy.

Comparative efficacy of digital cognitive behavioral therapy for insomnia: A systematic review and network meta-analysis

The comparative efficacy of various approaches of digital cognitive behavioral therapy for insomnia (CBTi) is still unclear. This network meta-analysis explored the comparative efficacy of digital CBTi approaches in adults with insomnia. Four electronic databases were searched from inception to June 27, 2020. Primary outcomes were self-reported total sleep time (TST), sleep onset latency (SOL), wake after sleep onset (WASO), sleep efficiency (SE), and insomnia symptoms; these were measured using sleep diaries or valid questionnaires. A random-effects network meta-analysis in a frequentist framework was used. Fifty-four randomized controlled trials comprising 11,815 participants were included. Compared with usual care, web-based CBTi with a therapist demonstrated significantly longer TST (mean difference [MD]: 23.19 min, 95% confidence interval [CI]: 18.98-27.39 min), shorter SOL (MD: -18.76 min, 95% CI -24.20 to -13.31 min), lower WASO (MD: -31.40 min, 95% CI: -36.26 to -26.55 min), and greater SE (MD: 10.37%, 95% CI: 8.08%-12.65%). The surface under the cumulative ranking curve indicates that web-based CBTi with therapists is most likely to be ranked the highest among all treatments, and thus, this network meta-analysis suggests that such a treatment is the optimal intervention for improving sleep duration and SE as well as the reductions in SOL and WASO. PROSPERO REGISTRATION NUMBER: CRD42020171134.

Behavioral and psychological treatments for chronic insomnia disorder in adults: an American Academy of Sleep Medicine systematic review, meta-analysis, and GRADE assessment

INTRODUCTION

The purpose of this systematic review is to provide supporting evidence for a clinical practice guideline on the use of behavioral and psychological treatments for chronic insomnia disorder in adult populations.

METHODS

The American Academy of Sleep Medicine commissioned a task force of 9 experts in sleep medicine and sleep psychology. A systematic review was conducted to identify randomized controlled trials that addressed behavioral and psychological interventions for the treatment of chronic insomnia disorder in adults. Statistical analyses were performed to determine if the treatments produced clinically significant improvements in a range of critical and important outcomes. Finally, the Grading of Recommendations Assessment, Development, and Evaluation process was used to evaluate the evidence for making specific treatment recommendations.

RESULTS

The literature search identified 1,244 studies; 124 studies met the inclusion criteria, and 89 studies provided data suitable for statistical analyses. Evidence for the following interventions is presented in this review: cognitive-behavioral therapy for insomnia, brief therapies for insomnia, stimulus control, sleep restriction therapy, relaxation training, sleep hygiene, biofeedback, paradoxical intention, intensive sleep retraining, and mindfulness. This review provides a detailed summary of the evidence along with the quality of evidence, the balance of benefits vs harms, patient values and preferences, and resource use considerations.

Efficacy of a Mobile Behavioral Intervention for Workers With Insomnia

OBJECTIVE

Insomnia is often unrecognized in the workplace despite a 10% prevalence. Cognitive behavioral therapy for insomnia (CBTi) is efficacious but often not available. This study assessed the efficacy of the self-guided CBTi Coach mobile app.

METHODS

Using a pre/post design, the CBTi Coach was evaluated prospectively in hospital nurses with insomnia. The primary outcome measured was the Insomnia Severity Index (ISI) at 0, 3, and 6 weeks.

RESULTS

Thirteen of 17 (76%) female nurses who worked day shifts completed the study. Baseline ISI was 18.1 (range 15 to 22). After 3 and 6 weeks, ISI significantly decreased to 12 and 11, respectively. No difference in ISI score was noted between weeks 3 and 6.

CONCLUSION

Use of CBTI Coach app demonstrated significant improvement in sleep quality in nurses with insomnia without coaching or healthcare provider visits.

Efficacy of digital cognitive behavioural therapy for insomnia: a meta-analysis of randomised controlled trials

OBJECTIVES

Although cognitive behavioural therapy for insomnia (CBT-I) has been recommended the initial therapy for insomnia, its clinical usage remains limited due to the lack of therapists. Digital CBT-I (dCBT-I) can potentially circumvent this problem. This meta-analysis aims to evaluate the short-term and long-term efficacy of dCBT-I for adults with insomnia.

METHODS

Systematic search of PubMed, EMBASE, PsycINFO, and CENTRAL from inception till 5 March 2020 was conducted. Randomised controlled trials (RCTs) comparing dCBT-I with controls (wait-list/treatment-as-usual/online education) in adults with insomnia were eligible. The primary outcome was insomnia severity index (ISI) at post-intervention, short-term follow-up (ranging 4 weeks to 6 months) and 1-year follow-up. Mean differences were pooled using the random-effects model.

RESULTS

94 articles were assessed full-text independently by two team members and 33 studies were included in this meta-analysis. 4719 and 4645 participants were randomised to dCBT-I and control respectively. dCBT-I significantly reduces ISI at post-intervention with mean difference -5.00 (95% CI -5.68 to -4.33, p < 0.0001) (I² = 79%) compared to control. The improvements were sustained at short-term follow-up, -3.99 (95% CI -4.82 to -3.16, p < 0.0001) and 1-year follow-up, -3.48 (95% CI -4.21 to -2.76, p < 0.0001). Compared to dCBT-I, face-to-face CBT-I produced greater improvement in ISI, 3.07 (95% CI 1.18 to 4.95, p = 0.001). However, this was within the non-inferiority interval of 4 points on ISI.

CONCLUSION

This meta-analysis provides strong support for the effectiveness of dCBT-I in treating insomnia. dCBT-I has potential to revolutionise the delivery of CBT-I, improving the accessibility and availability of CBT-I content for insomnia patients worldwide.

Feasibility and Treatment Effect of a Web-Based Cognitive Behavioral Therapy for Insomnia Program in Individuals with Multiple Sclerosis: A Pilot Randomized Controlled Trial

Background

At least 40% of individuals with multiple sclerosis (MS) experience chronic insomnia. Cognitive behavioral therapy for insomnia (CBT-I) is an effective treatment for insomnia symptoms in individuals with MS. Delivery of CBT-I using Web-based applications has been shown to be effective and may increase access to CBT-I for individuals with MS who have mobility difficulties, experience fatigue, or live in rural areas. Therefore, the purpose of this study was to assess the feasibility and treatment effect of CBT-I delivered using a Web-based application with or without biweekly telephone calls to improve sleep quality and fatigue in individuals with MS and symptoms of insomnia.

Methods

Forty-one individuals with MS and symptoms of insomnia were randomized into either a group that participated in a 6-week Web-based CBT-I program (wCBT-I) or a group that participated in a 6-week Web-based CBT-I program and received biweekly support telephone calls (wCBT-I + calls). Participants completed surveys online to assess insomnia severity, sleep quality, fatigue, sleep self-efficacy, depression, anxiety, and motivation to change their sleep behavior.

Results

The overall retention rate was 48.8%, and the adherence rate was 96.34%. Both groups had significant improvement in insomnia severity, sleep quality, sleep self-efficacy, and anxiety. Only the wCBT-I group had significant improvement in depression and fatigue.

Conclusions

Web-delivered CBT-I is feasible and effective in improving sleep outcomes and concomitant symptoms in individuals with MS. Web-based CBT-I may increase access to CBT-I treatment and provide a stepped-care approach to treating chronic insomnia in individuals with MS.

[Application and research progress of internet-based cognitive behavioral therapy for insomnia disorder]

Insomnia disorder is one of the most common sleep disorders with an increasing incidence to cause substantial economic losses and social burden. The therapy for insomnia disorder mainly includes medication treatment and cognitive behavioral therapy. Medications are associated with various adverse effects and can be easily addictive. Cognitive behavioral therapy has been proposed as the first-line treatment for insomnia disorder. But due to the disadvantages of face-to-face cognitive behavioral therapy including a high cost and the lack of standardization, internet-based cognitive behavioral therapy has emerged as an alternative with an almost equivalent efficacy to face-to-face cognitive behavioral therapy and better effects than medication. This review summarizes the basic principles of cognitive behavioral therapy for insomnia and discusses the development, forms, effects as well as the advantages and disadvantages of internet-based cognitive behavioral therapy.

National Expansion of Sleep Telemedicine for Veterans: The TeleSleep Program

STUDY OBJECTIVES

(1) Review the prevalence and comorbidity of sleep disorders among United States military personnel and veterans. (2) Describe the status of sleep care services at Veterans Health Administration (VHA) facilities. (3) Characterize the demand for sleep care among veterans and the availability of sleep care across the VHA. (4) Describe the VA TeleSleep Program that was developed to address this demand.

METHODS

PubMed and Medline databases (National Center for Biotechnology Information, United States National Library of Medicine) were searched for terms related to sleep disorders and sleep care in United States military and veteran populations. Information related to the status of sleep care services at VHA facilities was provided by clinical staff members at each location. Additional data were obtained from the VA Corporate Data Warehouse.

RESULTS

Among United States military personnel, medical encounters for insomnia increased 372% between 2005-2014; encounters for obstructive sleep apnea (OSA) increased 517% during the same period. The age-adjusted prevalence of sleep disorder diagnoses among veterans increased nearly 6-fold between 2000-2010; the prevalence of OSA more than doubled in this population from 2005-2014.

CONCLUSIONS

Most VA sleep programs are understaffed for their workload and have lengthy wait times for appointments. The VA Office of Rural Health determined that the dilemma of limited VHA sleep health care availability and accessibility might be solved, at least in part, by implementing a comprehensive telehealth program in VA medical facilities. The VA TeleSleep Program is an expansion of telemedicine services to address this need, especially for veterans in rural or remote regions.

CITATION

Sarmiento KF, Folmer RL, Stepnowsky CJ, Whooley MA, Boudreau EA, Kuna ST, Atwood CW, Smith CJ, Yarbrough WC. National expansion of sleep telemedicine for veterans: the telesleep program. J Clin Sleep Med. 2019;15(9):1355-1364.

Internet-Delivered Cognitive Behavioral Therapy for Insomnia: Tailoring Cognitive Behavioral Therapy for Insomnia for Patients with Chronic Insomnia

Chronic insomnia is preferably treated with cognitive behavioral therapy for insomnia (CBTI), but many insomnia sufferers receive medication instead, likely because of high costs, lack of knowledge about optimal insomnia treatment among physicians, and lack of CBTI-trained professionals in mental health care. A possible solution is to offer CBTI through the Internet: I-CBTI. I-CBTI is generally acceptable to patients and greatly improves insomnia symptoms. We review the state of knowledge around I-CBTI and its effects. CBTI's effectiveness is influenced by treatment characteristics and patient-specific factors. We review potential factors that help identify which patients may benefit from I-CBTI.

Reducing Coronary Heart Disease Risk Through Treatment of Insomnia Using Web-Based Cognitive Behavioral Therapy for Insomnia: A Methodological Approach

Objective: Observational data demonstrate increased risk of recurrent acute coronary syndrome in patients with comorbid insomnia. We conducted a pragmatic randomized controlled pilot study to address knowledge gaps and inform future large-scale randomized trials to test the impact of Web-based cognitive behavioral therapy for insomnia (wCBT-I) on coronary heart disease (CHD) outcomes. Participants: Thirty-five adults recruited from Brigham and Women's and Cleveland Clinic Hospitals with insomnia, defined by Insomnia Severity Index (ISI) score ≥ 10 and symptoms of at least 3 months, and comorbid CHD identified from medical records. Methods: We randomized 34 patients to either general sleep education coupled with wCBT-I or general sleep education alone followed by an opportunity for treatment after the study (a wait-list control) to evaluate feasibility and uptake of insomnia treatment in patients with heart disease. Participants completed the ISI at baseline and 6 weeks to assess insomnia severity. Results: Twenty-nine adults completed the trial, yielding an 85% retention rate, and adherence rate in the treatment arm was 80%. Mean age was 71.6 ± 9.5 years, 75% were male, and mean body mass index (BMI) was 29 ± 4.5 kg/m². Baseline ISI scores were 15.6. There was a 6.2 ± 5.3 point reduction in ISI scores in the intervention arm and a 3.3 ± 5.1 reduction in the control arm (p value 0.1). Conclusion: Web-based CBT-I intervention was feasible in an older sample with prevalent CHD and resulted in clinically meaningful improvement in insomnia severity, though statistical significance was limited by lack of power.

Auriculotherapy for sleep quality in people with primary insomnia: A protocol for a systematic review and meta-analysis

BACKGROUND

Primary insomnia is one of the common sleep disorders. Auriculotherapy originated from traditional Chinese medicine, has been thought as a promising treatment for primary insomnia. We aim to evaluate the efficacy and safety of auriculotherapy for patients with primary insomnia through this systematic review.

METHODS

Five English databases (Cochrane Central Register of Controlled Trials, MEDLINE, EMBASE, AMED, and CINAHL), 4 Chinese databases (CBM, CNKI, CQVIP, and Wanfang), and 5 clinical trial registration databases (ClinicalTrials.gov, ANZCTR, EU-CTR, ChiCTR, and ICTRP) will be searched from establishment of the database until November 2018. Articles written in English or Chinese languages will be included. The randomized controlled trials of auriculotherapy (auricular acupuncture and auricular acupressure) for patients with primary insomnia will be included. The primary outcome will be assessed according to the Pittsburgh sleep quality index. Meta-analysis will be conducted with the use of RevMan 5.3. The specific process will refer to the Cochrane Handbook 5.1 for Systematic Review.

RESULTS

High-quality synthesis of current evidence on the efficacy and safety of auriculotherapy for primary insomnia will be provided in this study.

CONCLUSION

This systematic review aims to present evidence for whether auriculotherapy is an effective intervention which can improve sleep quality in patients suffering primary insomnia.

PROSPERO REGISTRATION NUMBER

CRD42019106422.

Digital Delivery of Cognitive Behavioral Therapy for Insomnia

PURPOSE OF REVIEW

Digital cognitive behavioral therapy (dCBT) has been available for over a decade. We reviewed the evidence that accumulated over the past 5 years and discuss the implications for introducing dCBT into standard healthcare.

RECENT FINDINGS

Studies have consistently supported the use of dCBT to treat insomnia. Evidence is now demonstrating large short-term effects and smaller long-term effects up to 1.5 years after treatment across populations with various co-occurring health problems. The effects also extend into a range of psychological well-being factors. Mediators and moderators have been studied to understand mechanisms and create new opportunities to enhance effectiveness and reduce dropout. Incorporating personalized guidance in dCBT may further enhance effectiveness. The evidence for dCBT for insomnia is strong and suggests that dCBT is ready for application in standard healthcare. Further research, digital innovation, and development of effective implementation methods are required to ensure dCBT fulfills its potential.

A Computerized Cognitive behavioral therapy Randomized, Controlled, pilot trial for insomnia in Parkinson Disease (ACCORD-PD)

BACKGROUND

Parkinson disease (PD) is associated with a high prevalence of insomnia, affecting up to 88% of patients. Pharmacotherapy studies in the literature addressing insomnia in PD reveal disappointing and inconsistent results. Cognitive behavioral therapy (CBT) is a novel treatment option with durable effects shown in primary insomnia. However, the lack of accessibility and expense can be limiting. For these reasons, computerized CBT for insomnia (CCBT-I) has been developed. The CCBT-I program is a 6-week web-based course consisting of daily "lessons" providing learnable skills and appropriate recommendations to help patients improve their sleep habits and patterns.

METHODS

We conducted a single-center, pilot, randomized controlled trial comparing CCBT-I versus standardized sleep hygiene instructions to treat insomnia in PD. Twenty-eight subjects with PD experiencing insomnia, with a score > 11 on the Insomnia Severity Index (ISI) were recruited. Based on a 6-point improvement in ISI in treatment group when compared to controls and an alpha = 0.05 and beta of 0.1 (power = 90%) a sample size of 11 patients (on active treatment) were required to detect this treatment effect using a dependent sample t-test.

RESULTS

In total, 8/14 (57%) subjects randomized to CCBT-I versus 13/14 (93%) subjects randomized to standard education completed the study. Among completers, the improvement in ISI scores was greater with CCBT-I as compared to standard education (-7.9 vs -3.5; p = 0.03). However, in an intention-to-treat analysis, where all enrolled subjects were included, the change in ISI between groups was not significant (-.4.5 vs -3.3; p = 0.48), likely due to the high dropout rate in the CCBT-I group (43%).

CONCLUSION

This pilot study suggests that CCBT-I can be an effective treatment option for PD patients with insomnia when the course is thoroughly completed. High drop-out rate in our study shows that although effective, it may not be a generalizable option; however, larger studies are needed for further evaluation.