Economic evaluation of cognitive behavioural therapy for insomnia (CBT-I) for improving health outcomes in adult populations: A systematic review

Toward personalized care for insomnia in the US Army: a machine learning model to predict response to cognitive behavioral therapy for insomnia

STUDY OBJECTIVES

The standard of care for military personnel with insomnia is cognitive behavioral therapy for insomnia (CBT-I). However, only a minority seeking insomnia treatment receive CBT-I, and little reliable guidance exists to identify those most likely to respond. As a step toward personalized care, we present results of a machine learning (ML) model to predict CBT-I response.

METHODS

Administrative data were examined for n = 1,449 nondeployed US Army soldiers treated for insomnia with CBT-I who had moderate-severe baseline Insomnia Severity Index (ISI) scores and completed 1 or more follow-up ISIs 6-12 weeks after baseline. An ensemble ML model was developed in a 70% training sample to predict clinically significant ISI improvement (reduction of at least 2 standard deviations on the baseline ISI distribution). Predictors included a wide range of military administrative and baseline clinical variables. Model accuracy was evaluated in the remaining 30% test sample.

RESULTS

19.8% of patients had clinically significant ISI improvement. Model area under the receiver operating characteristic curve (standard error) was 0.60 (0.03). The 20% of test-sample patients with the highest probabilities of improvement were twice as likely to have clinically significant improvement compared with the remaining 80% (36.5% vs 15.7%; χ21 = 9.2, P = .002). Nearly 85% of prediction accuracy was due to 10 variables, the most important of which were baseline insomnia severity and baseline suicidal ideation.

CONCLUSIONS

Pending replication, the model could be used as part of a patient-centered decision-making process for insomnia treatment. Parallel models will be needed for alternative treatments before such a system is of optimal value.

CITATION

Gabbay FH, Wynn GH, Georg MW, et al. Toward personalized care for insomnia in the US Army: a machine learning model to predict response to cognitive behavioral therapy for insomnia. J Clin Sleep Med. 2024;20(6):921-931.

Content Comparison of Quality-of-Life Instruments Used in Economic Evaluations of Sleep Disorder Interventions: A Systematic Review

BACKGROUND

Assessment of quality of life (QoL) in people living with sleep disorders using questionnaires is necessary to compare intervention benefits. Knowledge of the content and concepts covered by specific QoL instruments is essential to determine which instruments are best suited for conducting economic evaluations of sleep-related interventions.

OBJECTIVES

This review aims to identify the QoL instruments that have been applied in economic evaluations of sleep disorder interventions and compare their conceptual overlap and content coverage using the framework of the International Classification of Functioning, Disability and Health (ICF).

METHODS

A systematic review of full economic evaluations in sleep published in peer-reviewed journals from conception to 30 May, 2023 was conducted. MEDLINE, PsychInfo, ProQuest, Cochrane, Scopus, CINAHL, Web of Science and Emcare were searched for eligible studies. Studies incorporating either generic or sleep-specific QoL instruments as the primary or secondary measures of effectiveness within a full economic evaluation were included. Quality appraisal against the JBI Critical Appraisal Checklist for Economic Evaluations and EURONHEED checklists and mapping of QoL items to ICF categories were performed by two reviewers, with a third helping settle any potential differences.

RESULTS

Sixteen instruments were identified as having been used in sleep health economic evaluations. The EQ-5D-3L, Epworth Sleepiness Scale, and Insomnia Severity Index were the most widely used, but the latter two are predominantly diagnostic tools and not specifically designed to guide economic evaluations. Other instruments with broader ICF content coverage have been least used, and these include the Sleep Apnea Quality of Life Index, Functional Outcomes of Sleep Questionnaire, 15 Dimensions, Short-Form 6 Dimensions, 12-item Short Form Survey, 36-item Short Form Survey and the GRID Hamilton Rating Scale for Depression.

CONCLUSIONS

This study provides an overview of current QoL instruments used in economic evaluations of sleep with respect to their content coverage. A combination of generic and sleep-specific instruments with broader ICF content coverage is recommended for such evaluations.

Costs and Resource Utilization of People with Stable Heart Failure and Insomnia: Evidence from a Randomized Trial of Cognitive Behavioral Therapy for Insomnia

OBJECTIVES

Nearly half of patients with chronic heart failure (HF) report insomnia symptoms. The purpose of this study was to examine the impact of CBT-I versus HF self-management on healthcare costs and resource utilization among patients with stable chronic HF who participated in a clinical trial of the effects of CBT-I compared to HF self-management education (attention control) over 1 year.

METHODS

We measured resource utilization as self-reported (medical record review) physician office visits, emergency department visits, and inpatient admissions at 3-month intervals for 1 year after enrollment. Costs were estimated by applying price weights to visits and adding self-reported out-of-pocket and indirect costs. Univariate comparisons were made of resource utilization and costs between CBT-I and the HF self-management group. A generalized linear model (GLM) was used to model costs, controlling for covariates.

RESULTS

The sample included 150 patients [79 CBT-I; 71 self-management (M age = 62 + 13 years)]. The CBT-I group had 4.2 inpatient hospitalizations vs 4.6 for the self-management group (p = .40). There were 13.1 outpatient visits, in the CBT-I compared with 15.4 outpatient visits (p-value range 0.39-0.81) for the self-management group. Total costs were not significantly different in univariate or ($7,813 CBT-I vs. $7,538 self-management), p = .96) or multivariable analyses.

CONCLUSIONS

Among patients with both HF and insomnia, CBT-I and HF self-management were associated with similar resource utilization and total costs. Additional research is needed to estimate the value of CBT-I relative to usual care and other treatments for insomnia in patients with HF.

The effect of cognitive behavioural therapy for insomnia in people with comorbid insomnia and sleep apnoea: A systematic review and meta-analysis

Comorbid insomnia and sleep apnoea (COMISA) is a highly prevalent and debilitating sleep disorder. Cognitive behavioural therapy for insomnia (CBTi) may be an appropriate treatment for COMISA; however, no previous study has systematically reviewed and meta-analysed literature reporting on the effect of CBTi in people with COMISA. A systematic literature search was conducted across PsychINFO and PubMed (n = 295). In all, 27 full-text records were independently reviewed by at least two authors. Forward- and backward-chain referencing, and hand-searches were used to identify additional studies. Authors of potentially eligible studies were contacted to provide COMISA subgroup data. In total, 21 studies, including 14 independent samples of 1040 participants with COMISA were included. Downs and Black quality assessments were performed. A meta-analysis including nine primary studies measuring the Insomnia Severity Index indicated that CBTi is associated with a large improvement in insomnia severity (Hedges' g = -0.89, 95% confidence interval [CI] -1.35, -0.43). Subgroup meta-analyses indicated that CBTi is effective in samples with untreated obstructive sleep apnoea (OSA) (five studies, Hedges' g = -1.19, 95% CI -1.77, -0.61) and treated OSA (four studies, Hedges' g = -0.55, 95% CI -0.75, -0.35). Publication bias was evaluated by examining the Funnel plot (Egger's regression p = 0.78). Implementation programmes are required to embed COMISA management pathways in sleep clinics worldwide that currently specialise in the management of OSA alone. Future research should investigate and refine CBTi interventions in people with COMISA, including identifying the most effective CBTi components, adaptations, and developing personalised management approaches for this highly prevalent and debilitating condition.

Cognitive behavioural therapy for insomnia disorder: Extending the stepped care model

Despite cognitive behaviour therapy for insomnia (CBT-I) being the first-line intervention for the disorder, it is often not readily available to patients in need. The stepped care model (SCM) represents an approach to facilitating efficient and wide-ranging provision of evidence-based care to those with insomnia. The SCM reflects a pyramid of therapeutics based on CBT-I gradually increasing in clinical intensity and addressing clinical complexity. By applying CBT-I through the SCM it is hoped that the treatment gap can be bridged such that not only more patients can be reached, but that clinical resource can be more effectively distributed, with patients receiving more tailored care as needed. Nevertheless, this should not be done at the risk of a lower quality of care being offered, and high-standard training for clinicians and scrutiny of non-clinician led interventions remains important. As national health laws within European countries have substantial differences, the application of the SCM as it relates to the treatment of insomnia may be challenged by contrasting interpretations. In order that the SCM is appropriately implemented: (a) only evidence-based CBT-I treatments should be promoted within the model; (b) clinicians involved in SCM should be suitably qualified to offer CBT in general, and have appropriate further training in CBT-I; (c) professionals involved in interventions not included in the SCM, but related to it, such as preventive and educational programmes, diagnostic procedures, and pharmacological treatments, should also have good knowledge of the SCM in order to promote correct allocation to the appropriate interventional step.

Mapping the associations of daily pain, sleep, and psychological distress in a U.S. sample

Chronic pain, sleep problems, and psychological distress (PD) can be disabling conditions and previous research has shown that they are associated. The nuances of the comorbid nature of these conditions may be important to understand for those who treat these conditions. This study examined the bidirectional associations of these health factors concurrently and over time in a sample of U.S. adults (N = 1,008, Mage = 57.68) from the Midlife in the United States (MIDUS) study. Participants reported on their daily pain, sleep quantity, and psychological distress over eight days. A modified Random Intercept Cross-lagged Panel Model was used to analyze the relations, starting with the whole sample and then a comparison of those with and without chronic pain. Results indicated that nightly variation in sleep quantity predicted next day psychological distress for both groups. Sleep quantity also predicted next-day pain, but only for individuals with chronic pain. Associations between pain and psychological distress were found both at the daily level and individual (between-person) level. This between-person association was stronger for those with chronic pain. The lagged associations between sleep, and both pain and psychological distress for the chronic pain group indicate that, increased quantity of sleep predicts decreased next-day pain and psychological distress. Providers could consider this unidirectional lagged relationship when prioritizing treatment for patients with these comorbid conditions. Future research may examine whether responsive, just-in-time treatments might intervene after participants wake from a poor night's sleep to counteract the negative effects of reduced sleep on PD and pain.

Challenging beliefs for quality sleep: A systematic review of maladaptive sleep beliefs and treatment outcomes following cognitive behavioral therapy for insomnia

Cognitive behavioral therapy for insomnia (CBT-I) is an empirically supported intervention for insomnia. Given the strong, consistent support of its efficacy, scholars have become increasingly interested in the behavioral and cognitive mechanisms targeted during CBT-I. The purpose of the systematic review was to synthesize findings from the literature regarding the associations among maladaptive sleep beliefs, a cognitive mechanism implicated in maintaining insomnia, and treatment outcomes following CBT-I. The systematic review was completed using Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Seventeen studies were included in the final sample of reviewed articles and a study quality assessment was performed for all studies included in the review. The results suggested that reductions in maladaptive sleep beliefs were associated with improved insomnia severity; however, reductions in maladaptive beliefs were not associated with changes in sleep efficiency or other sleep parameters. Moreover, in some cases, improved sleep parameters preceded reductions in maladaptive beliefs. Maladaptive sleep beliefs may be an important target for improving insomnia. Targeting maladaptive sleep beliefs may initiate a trickle-down process that limits the influence of other cognitive and behavioral processes maintaining insomnia. Additional investigation is needed to evaluate the directional relationship between improved insomnia symptoms and reduced maladaptive beliefs.

Co-morbid insomnia and sleep apnea (COMISA): recent research and future directions

PURPOSE OF REVIEW

Insomnia and obstructive sleep apnea have previously been viewed as completely independent conditions. However, there is now increasing recognition that insomnia and sleep apnea frequently co-occur. Co-morbid insomnia and sleep apnea (COMISA) is a highly prevalent condition that is associated with impairment of sleep, daytime function, mental health and physical health outcomes, and mortality risk. This review aims to provide an update on COMISA prevalence, consequences, treatment approaches, and future research directions.

RECENT FINDINGS

People with COMISA experience worse sleep, mental health, physical health, quality of life and longevity compared to people with neither condition, and often compared to those with insomnia alone and sleep apnea alone. Emerging evidence suggests that cognitive behavioral therapy for insomnia is an effective treatment in the presence of treated and untreated sleep apnea, that may also improve manifestations and subsequent management of sleep apnea. Future research is required to understand the etiology of COMISA, and to develop and implement tailored treatment approaches.

SUMMARY

It is important for sleep and respiratory technicians, researchers and clinicians to be aware of the high co-morbidity rates, consequences, and treatment requirements of patients with co-morbid insomnia and sleep apnea.

Feasibility and efficacy of 'Can-Sleep': effects of a stepped-care approach to cognitive-behavioral therapy for insomnia in cancer

PURPOSE

This study aimed to evaluate the feasibility and clinical efficacy of the Can-Sleep stepped-care intervention for people with cancer-related sleep disturbance.

METHODS

A total of 147 individuals with cancer were screened. Participants who reported sleep disturbances and were at low-moderate risk for intrinsic sleep abnormalities were given self-managed cognitive behavioral therapy for insomnia (SMCBT-I). Those reporting sleep disturbance and scoring at high risk of intrinsic sleep abnormalities (i.e., restless leg syndrome and obstructive sleep apnoea) were referred to a specialist sleep clinic. In both groups, participants received a stepped-up group CBT-I intervention (GCBT-I) if they continued to report sleep disturbance following SMCBT-I or the specialist sleep clinic.

RESULTS

Overall, 87 participants reported sleep disturbance or screened at risk for intrinsic sleep abnormality. Thirty-four were referred to a specialist sleep clinic, and of the 17 who declined this referral, 14 were rereferred to SMCBT-I. In total, 62 participants were referred to SMCBT-I, and 56 commenced SMCBT-I. At post-intervention, the SMCBT-I group showed a significant decline in insomnia symptoms (p < .001, d = 1.01). Five participants who reported sleep disturbance after SMCBT-I and/or the specialist sleep clinic, accepted GCBT-I. Those who received the GCBT-I showed a significant reduction in insomnia symptoms (p < .01, d = 3.13).

CONCLUSIONS

This study demonstrates the feasibility and efficacy of a stepped-care intervention for sleep disturbances in people with cancer.

IMPLICATIONS FOR CANCER SURVIVORS

A stepped-care intervention for sleep disturbance is a feasible and potentially effective method of addressing a significant and unmet patient need.

Toward personalized care for insomnia in the US Army: development of a machine-learning model to predict response to pharmacotherapy

STUDY OBJECTIVES

Although many military personnel with insomnia are treated with prescription medication, little reliable guidance exists to identify patients most likely to respond. As a first step toward personalized care for insomnia, we present results of a machine-learning model to predict response to insomnia medication.

METHODS

The sample comprised n = 4,738 nondeployed US Army soldiers treated with insomnia medication and followed 6-12 weeks after initiating treatment. All patients had moderate-severe baseline scores on the Insomnia Severity Index (ISI) and completed 1 or more follow-up ISIs 6-12 weeks after baseline. An ensemble machine-learning model was developed in a 70% training sample to predict clinically significant ISI improvement, defined as reduction of at least 2 standard deviations on the baseline ISI distribution. Predictors included a wide range of military administrative and baseline clinical variables. Model accuracy was evaluated in the remaining 30% test sample.

RESULTS

21.3% of patients had clinically significant ISI improvement. Model test sample area under the receiver operating characteristic curve (standard error) was 0.63 (0.02). Among the 30% of patients with the highest predicted probabilities of improvement, 32.5.% had clinically significant symptom improvement vs 16.6% in the 70% sample predicted to be least likely to improve (χ21 = 37.1, P < .001). More than 75% of prediction accuracy was due to 10 variables, the most important of which was baseline insomnia severity.

CONCLUSIONS

Pending replication, the model could be used as part of a patient-centered decision-making process for insomnia treatment, but parallel models will be needed for alternative treatments before such a system is of optimal value.

CITATION

Gabbay FH, Wynn GH, Georg MW, et al. Toward personalized care for insomnia in the US Army: development of a machine-learning model to predict response to pharmacotherapy. J Clin Sleep Med. 2023;19(8):1399-1410.

Beliefs about prescription sleep medications and interest in reducing hypnotic use: an examination of middle-aged and older adults with insomnia disorder

STUDY OBJECTIVES

To examine beliefs about prescription sleep medications (hypnotics) among individuals with insomnia disorder seeking cognitive behavioral therapy for insomnia and predictors of wishing to reduce use.

METHODS

Baseline data was collected from 245 adults 50 years and older enrolled in the "RCT of the Effectiveness of Stepped-Care Sleep Therapy in General Practice" study. T-tests compared characteristics of prescription sleep medication users with those of nonusers. Linear regression assessed predictors of patients' beliefs about sleep medication necessity and hypnotic-related concerns. Among users, we examined predictors of wishing to reduce sleep medications, including perceived hypnotic dependence, beliefs about medications, and demographic characteristics.

RESULTS

Users endorsed stronger beliefs about the necessity of sleep medications and less concern about potential harms than nonusers (P < .01). Stronger dysfunctional sleep-related cognitions predicted greater beliefs about necessity and concern about use (P < .01). Patients wishing to reduce sleep medications reported greater perceived hypnotic dependence than those disinterested in reduction (P < .001). Self-reported dependence severity was the strongest predictor of wishing to reduce use (P = .002).

CONCLUSIONS

Despite expressing strong beliefs about necessity, and comparatively less concern about taking sleep medications, three-quarters of users wished to reduce prescription hypnotics. Results may not generalize to individuals with insomnia not seeking nonpharmacological treatments. Upon completion, the "RCT of the Effectiveness of Stepped-Care Sleep Therapy in General Practice" study will provide information about the extent to which therapist-led and digital cognitive behavioral therapy for insomnia contribute to prescription hypnotic reduction.

CLINICAL TRIAL REGISTRATION

Registry: ClinicalTrials.gov; Name: The RESTING Insomnia Study: Randomized Controlled Study on Effectiveness of Stepped-Care Sleep Therapy (RESTING); URL: https://clinicaltrials.gov/ct2/show/NCT03532282; Identifier: NCT03532282.

CITATION

Tully IA, Kim JP, Simpson N, et al. Beliefs about prescription sleep medications and interest in reducing hypnotic use: an examination of middle-aged and older adults with insomnia disorder. J Clin Sleep Med. 2023;19(7):1247-1257.

Insomnia in chronic obstructive pulmonary disease and associations with healthcare utilization and costs

Insomnia has been linked to adverse chronic obstructive pulmonary disease (COPD) outcomes including exacerbations, yet its impact on COPD-related healthcare utilization and costs is unknown. In this study, we investigated the associations between insomnia and healthcare utilization and costs in patients with COPD. A retrospective cohort of veterans with COPD were identified from national Veterans Affairs administration data for fiscal years 2012-2017. Insomnia was operationalized as having an insomnia diagnosis based on International Classification of Disease codes or having a prescription of > 30 doses of a sedative-hypnotic medication in a given fiscal year. The index date for insomnia was the first date when dual criteria for COPD and insomnia was met. The index date for those without insomnia was set as the COPD index date. Our primary outcomes were 1-year healthcare utilization and costs related to outpatient visits and hospitalizations after index date. COPD-related healthcare utilization variables included number of prescription fills of corticosteroids and/or antibiotics and outpatient visits and hospitalizations with a primary diagnosis of COPD. Out of 1,011,646 patients (96% men, mean age 68.4 years) diagnosed with COPD, 407,363 (38.8%) had insomnia. After adjustment for confounders, insomnia was associated with higher rates of outpatient visits, hospitalizations, and fills for corticosteroids and/or antibiotics, longer hospital length of stay, and $10,344 higher hospitalization costs in the 12 months after index date. These findings highlight the importance of insomnia as a potentially modifiable target for reducing the burden of COPD on patients and healthcare systems.

Partner Alliance to Enhance Efficacy and Adherence of CBT-I

Cognitive behavioral therapy for insomnia (CBT-I) is now widely recognized as the first-line management strategy for insomnia, both for insomnia in its "pure" form, and when comorbid with a physical or psychological illness. However, there is a definite need to develop and test both alternative and adjunct interventions to CBT-I, before implementing them into routine practice. The aim of this article is to provide a narrative review of the literature with regard to what is known about the influence of partners on sleep, insomnia, and its management.

Around the EQUATOR with clinician-scientists transdisciplinary aging research (Clin-STAR) principles: Implementation science challenges and opportunities

The Institute of Medicine and the National Institute on Aging increasingly understand that knowledge alone is necessary but insufficient to improve healthcare outcomes. Adapting the behaviors of clinicians, patients, and stakeholders to new standards of evidence-based clinical practice is often significantly delayed. In response, over the past twenty years, Implementation Science has developed as the study of methods and strategies that facilitate the uptake of evidence-based practice into regular use by practitioners and policymakers. One important advance in Implementation Science research was the development of Standards for Reporting Implementation Studies (StaRI), which provided a 27-item checklist for researchers to consistently report essential elements of the implementation and intervention strategies. Using StaRI as a framework, this review discusses specific Implementation Science challenges for research with older adults, provides solutions for those obstacles, and opportunities to improve the value of this evolving approach to reduce the knowledge translation losses that exist between published research and clinical practice.

Quality-adjusted life years for digital cognitive behavioural therapy for insomnia (Sleepio): a secondary analysis

BACKGROUND

Insomnia is common, and difficulty with daytime functioning is a core symptom. Studies show cognitive behavioural therapy (CBT) improves functioning, but evidence is needed on its value for money. Quality-adjusted life years (QALYs), capturing length and quality of life, provide a standard metric by which to judge whether a treatment is worth its cost. Studies have found QALY gains with therapist-delivered and therapist-guided CBT, but most have not reached statistical significance. Estimates of QALY gains with fully automated digital CBT (dCBT) for insomnia are lacking.

AIM

To assess whether dCBT (Sleepio) for insomnia is associated with gains in QALYs compared with a sleep hygiene education control.

DESIGN & SETTING

A secondary analysis of a large effectiveness trial of 1711 participants from the UK, US, and Australia.

METHOD

EQ-5D scores, the National Institute for Health and Care Excellence's (NICE's) preferred measure of health-related quality of life (HRQoL), were predicted (mapped) from the 10-item Patient-Reported Outcomes Measurement Information System (PROMIS-10) Global Health scores and used to determine QALYs from baseline to 24 weeks (controlled), and to 48 weeks (uncontrolled).

RESULTS

At week 24, QALYs were significantly higher for the dCBT group, with mean QALYs 0.375 and 0.362 in the dCBT and control groups, respectively. The mean difference was 0.014 (95% confidence interval [CI] = 0.008 to 0.019), and this difference was maintained over the 48-week study period (0.026, 95% CI = 0.016 to 0.036). The difference of 0.026 QALYs is equivalent to 9.5 days in perfect health.

CONCLUSION

Sleepio is associated with statistically significant gains in QALYs over time compared with control. Findings may be used to power future studies and inform cost-effectiveness analyses of automated dCBT for insomnia scaled to a population level.

Transcranial magnetic stimulation combined with transcranial direct current stimulation in patients with chronic insomnia: a case report

Long-term insomnia affects the normal life and work of individuals and increases the risk of various health problems, including mental illness. Therefore, there is an urgent need for an efficient and safe treatment for improving sleep. In this study, we report the case a 52-year-old woman who received repetitive transcranial magnetic stimulation (rTMS) combined with transcranial direct current stimulation (tDCS) after agreeing to publish her case. In order to evaluate the quality of sleep and the stability of emotional symptoms, clinical evaluations were conducted at baseline, after 10 treatment sessions, after 20 treatment sessions, and 1 month after the end of treatment. After completing rTMS combined with tDCS, the patient showed an overall clinical improvement, with clinical changes mainly observed in the Pittsburgh Sleep Quality Index, Hamilton Depression Scale, Hamilton Anxiety Scale scores and polysomnography, and this improvement was maintained 1 month after the intervention. This case provides the first evidence for the feasibility, tolerability, and safety of combined rTMS and tDCS in a patient with chronic insomnia.

CLINICAL TRIAL REGISTRATION

Registry: Chinese Clinical Trial Registry; Name: Clinical study of repetitive transcranial magnetic stimulation combined with transcranial direct current stimulation in the treatment of chronic insomnia; URL: http://www.chictr.org.cn/edit.aspx?pid=57440&htm=4; Identifier: ChiCTR ChiCTR2100052681.

CITATION

Zhou Q, Liu Z, Zhao S, et al. Transcranial magnetic stimulation combined with transcranial direct current stimulation in patients with chronic insomnia: a case report. J Clin Sleep Med. 2022;18(12):2871-2873.

Network meta-analysis comparing the effectiveness of a prescription digital therapeutic for chronic insomnia to medications and face-to-face cognitive behavioral therapy in adults

OBJECTIVE

The purpose of this study was to compare the effectiveness of the only Food and Drug Administration-authorized prescription digital therapeutic (PDT) Somryst versus face-to-face cognitive behavioral therapy for insomnia (CBT-I), or FDA-approved prescription medications for insomnia.

METHODS

A systematic literature review was undertaken to identify relevant studies. A Bayesian network meta-analysis (NMA) was conducted to examine (1) mean change in insomnia severity index (ISI); (2) proportional change in ISI remitters; (3) mean change in wake after sleep onset (WASO); and (4) mean change in sleep onset latency (SOL).

RESULTS

Twenty studies provided data on the PDT, CBT-I, CBT-I in combination with self-help (SH), or two prescription medications (eszopiclone and zolpidem). The PDT was associated with significant mean change in ISI (-5.77, 95% Credible Interval [CrI] - 8.53, -3.07) and ISI remitters (OR 12.33; 95% CrI 2.28, 155.91) compared to placebo, and had the highest probability of being the most effective treatment overall for ISI mean change (56%), and ISI remitters (64%). All evaluated interventions significantly outperformed placebo for WASO but no significant differences were observed for SOL (five interventions). Sensitivity analyses excluding medications and meta-regression (assessing type, duration, delivery method for CBT-I) did not affect NMA results.

CONCLUSIONS

This network meta-analysis demonstrated that a PDT delivering CBT-I had the highest probability of being most effective compared to face-to-face CBT-I, prescription sleep medications, or placebo, as measured by reductions in mean ISI score from baseline and ISI-determined remittance.

A novel smartphone-based intervention targeting sleep difficulties in individuals experiencing psychosis: A feasibility and acceptability evaluation

OBJECTIVES

Cognitive Behavioural Therapy (CBT) is an effective psychological intervention for sleep difficulties and has been used successfully in individuals with psychosis. However, access is restricted due to lack of resources and staff training. Delivering CBT for sleep problems using smartphone technology may facilitate wider access. This study aimed to evaluate the feasibility, acceptability and potential usefulness of a guided, smartphone-based CBT intervention targeting sleep disturbance for individuals with psychosis.

DESIGN

Participants with psychosis spectrum diagnoses were recruited to a single-arm, uncontrolled study and engaged with the seven-module programme via smartphone app for six weeks with therapist support.

METHOD

Feasibility was assessed by rates of referral, recruitment and completion. Acceptability was assessed by app usage, a satisfaction questionnaire and qualitative analysis of participants' semi-structured interview. Pre- and post-intervention assessment of sleep, psychotic experiences, mood, well-being and functioning was conducted. Mean change confidence intervals were calculated and reported as an indication of usefulness.

RESULTS

Fourteen individuals consented to participation, and eleven completed the post-intervention assessment. On average, each participant engaged with 5.6 of 7 available modules. Qualitative feedback indicated the intervention was considered helpful and would be recommended to others. Suggested improvements to app design were provided by participants. Potential treatment benefits were observed for sleep difficulties, and all outcomes considered, except frequency of hallucinatory experiences.

CONCLUSIONS

It is feasible and acceptable to deliver therapist-guided CBT for sleep problems by smartphone app for individuals with psychosis. This method provides a low-intensity, accessible intervention, which could be offered more routinely. Further research to determine treatment efficacy is warranted.

Acupuncture combined with traditional Chinese medicine e-aid cognitive behavioral therapy for insomnia (TCM-eCBT-I) for chronic insomnia: study protocol for a randomized controlled trial

INTRODUCTION

The incidence of insomnia is getting higher and higher. Long-term insomnia seriously affects people's health. Drug use is usually accompanied with adverse events. Both acupuncture and cognitive behavioral therapy for insomnia (CBT-I) have been proven to be safe and effective non-pharmacological treatments for insomnia. As the insomniacs' bad sleep behavior and wrong cognition have not been effectively corrected, acupuncture has a quick effect, high patient compliance but unstable long-term efficacy, while CBT-I is complex, time-consuming, and expensive; additionally, patient compliance is low, and the number of trained therapists is limited, making it difficult to carry out. Therefore, this study aims to use the insomnia TCM system to construct a convenient and feasible traditional Chinese medicine e-aid cognitive behavioral therapy for insomnia (TCM-eCBT-I) for Chinese people, and combine the advantages of acupuncture and TCM-eCBT-I for maintaining long-term efficacy, and three treatments will be evaluated to provide clinicians with a more effective clinical protocol METHODS AND ANALYSIS: This study is a single-center, open-label, randomized controlled trial. Ninety subjects will be recruited and randomly assigned to three groups: the acupuncture group, the TCM-eCBT-I group, and the acupuncture combined with TCM-eCBT-I group, in a ratio of 1:1:1. We will evaluate the Pittsburgh Sleep Quality Index (PSQI) and Dysfunctional Beliefs and Attitudes About Sleep Scale (DBAS), Insomnia Severity Index (ISI), sleep diary, Hamilton Anxiety Scale (HAMA), Hamilton Depression Scale (HAMD), and Fatigue Scale-14 Scale (FS-14) scales. All adverse reactions will be assessed through the ADVERSE event table. All outcomes will be evaluated online at 0 weeks, 4 weeks, 8 weeks, 16 weeks, and 28weeks.

ETHICS AND DISSEMINATION

This study has been approved by the Institutional Review Board of the Affiliated Hospital of Nanjing University of Chinese Medicine (2020 NL-018-02). Informed consent will be obtained from all the subjects. The results will be shared with sleep researchers, public, and relevant academic institutions through high-impact peer-reviewed publications.

TRIAL REGISTRATION

Chinese Clinical Trial Registry ChiCTR2000032960. Registered on 17 May 2020.

Cost-effectiveness of telephone cognitive behavioral therapy for osteoarthritis-related insomnia

BACKGROUND

Osteoarthritis-related insomnia is the most common form of comorbid insomnia among older Americans. A randomized clinical trial found that six sessions of telephone-delivered cognitive behavioral therapy for insomnia (CBT-I) improved sleep outcomes in this population. Using these data, we evaluated the incremental cost-effectiveness of CBT-I from a healthcare sector perspective.

METHODS

The study was based on 325 community-dwelling older adults with insomnia and osteoarthritis pain enrolled with Kaiser Permanente of Washington State. We measured quality-adjusted life years (QALYs) using the EuroQol 5-dimension scale. Arthritis-specific quality of life was measured using the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC). Insomnia-specific quality of life was measured using the Insomnia Severity Index (ISI) and nights without clinical insomnia (i.e., "insomnia-free nights"). Total healthcare costs included intervention and healthcare utilization costs.

RESULTS

Over the 12 months after randomization, CBT-I improved ISI and WOMAC by -2.6 points (95% CI: -2.9 to -2.4) and -2.6 points (95% CI: -3.4 to -1.8), respectively. The ISI improvement translated into 89 additional insomnia-free nights (95% CI: 79 to 98) over the 12 months. CBT-I did not significantly reduce total healthcare costs (-$1072 [95% CI: -$1968 to $92]). Improvements in condition-specific measures were not reflected in QALYs gained (-0.01 [95% CI: -0.01 to 0.01]); at a willingness-to-pay of $150,000 per QALY, CBT-I resulted in a positive net monetary benefit of $369 with substantial uncertainty (95% CI: -$1737 to $2270).

CONCLUSION

CBT-I improved sleep and arthritis function without increasing costs. These findings support the consideration of telephone CBT-I for treating insomnia among older adults with comorbid OA. Our findings also suggest potential limitations of the general quality of life measures in assessing interventions designed to improve sleep and arthritis outcomes.

Digital cognitive behavioural therapy for insomnia and primary care costs in England: an interrupted time series analysis

BACKGROUND

Sleepio is an automated digital programme that delivers cognitive behavioural therapy for insomnia (dCBT-I). Sleepio has been proven effective in improving sleep difficulties. However, evidence for the possible impact of Sleepio use on health care costs in the United Kingdom has not previously been developed.

AIM

We sought to identify the effect of a population-wide rollout of Sleepio in terms of primary care costs in the National Health Service (NHS) in England.

DESIGN & SETTING

The study was conducted in the Thames Valley region of England, where access to Sleepio was made freely available to all residents between October 2018 and January 2020. The study relies on a quasi-experimental design, using an interrupted time series to compare the trend in primary care costs before and after the rollout of Sleepio.

METHOD

We use primary care data for people with relevant characteristics from nine general practices in Buckinghamshire. Primary care costs include general practice contacts and prescriptions. Segmented regression analysis was used to estimate primary and secondary outcomes.

RESULTS

For the 10,704 patients included in our sample, the total saving over the 65-week follow-up period was £71,027. This corresponds to £6.64 per person in our sample or around £70.44 per Sleepio user. Secondary analyses suggest that savings may be driven primarily by reductions in prescribing.

CONCLUSION

Sleepio rollout reduced primary care costs. National adoption of Sleepio may reduce primary care costs by £20 million in the first year. The expected impact on primary care costs in any particular setting will depend on the uptake of Sleepio.

Co-morbid insomnia and obstructive sleep apnoea is associated with all-cause mortality

STUDY OBJECTIVES

Increased mortality has been reported in people with insomnia and in those with obstructive sleep apnoea (OSA). However, these conditions commonly co-occur and the combined effect of co-morbid insomnia and sleep apnoea (COMISA) on mortality risk is unknown. This study used Sleep Heart Health Study (SHHS) data to assess associations between COMISA and all-cause mortality risk.

METHODS

Insomnia was defined as difficulties falling asleep, maintaining sleep, and/or early morning awakenings from sleep ≥16 times a month and daytime impairment. OSA was defined as an apnoea-hypopnoea index ≥15 events/h sleep. COMISA was defined if both conditions were present. Multivariable adjusted Cox proportional hazard models were used to determine the association between COMISA and all-cause mortality (n=1210) over 15 years of follow-up.

RESULTS

5236 participants were included. 2708 (52%) did not have insomnia/OSA (control), 170 (3%) had insomnia-alone, 2221 (42%) had OSA-alone, and 137 (3%) had COMISA. COMISA participants had a higher prevalence of hypertension (ORs [95%CI]; 2.00 [1.39, 2.90]) and cardiovascular disease compared to controls (1.70 [1.11, 2.61]). Insomnia-alone and OSA-alone were associated with higher risk of hypertension but not cardiovascular disease compared to controls. Compared to controls, COMISA was associated with a 47% (HR, 95% CI; 1.47 (1.06, 2.07)) increased risk of mortality. The association between COMISA and mortality was consistent across multiple definitions of OSA and insomnia.

CONCLUSIONS

Co-morbid insomnia and sleep apnoea was associated with higher rates of hypertension and cardiovascular disease at baseline, and an increased risk of all-cause mortality compared to no insomnia/OSA.

Insomnia disorder update: the benefits of screening and treatment for this common presentation

Insomnia is a chronic condition and major healthcare problem for Australians across the lifespan. Insomnia's high prevalence and disease burden render it an important target for treatment. Further, and importantly, there exist established bidirectional links between insomnia and a range of health conditions, with insomnia both contributing to risk, maintenance and relapse of comorbid conditions. Recent clinical research demonstrates that treating insomnia in its own right is important for resolution of insomnia and for optimising treatment outcomes for comorbid presenting problems. Due to its effectiveness and favourable side-effect profile, Cognitive Behaviour Therapy-Insomnia (CBT-I) is the recommended first-line treatment even when comorbid conditions are present. CBT-I is a brief treatment often delivered in four to eight consultations. Individual, group and online CBT-I have each demonstrated effectiveness. Outcomes for online CBT-I are often stronger when individualised clinician support is provided. Specifically assessing for and treating insomnia in clinical practice may provide an opportunity to optimise treatment outcome in many patients.

Cognitive Behavioral Therapy and Acceptance and Commitment Therapy for the Discontinuation of Long-Term Benzodiazepine Use in Insomnia and Anxiety Disorders

Benzodiazepines have proven to be highly effective for treating insomnia and anxiety. Although considered safe when taken for a short period of time, a major risk–benefit dilemma arises in the context of long-term use, relating to addiction, withdrawal symptoms, and potential side effects. For these reasons, benzodiazepines are not recommended for treating chronic sleep disorders, anxiety disorders, nor for people over the age of 65, and withdrawal among long-term users is a public health issue. Indeed, only 5% of patients manage to discontinue using these drugs on their own. Even with the help of a general practitioner, this rate does not exceed 25 to 30% of patients, of which approximately 7% manage to remain drug-free in the long term. Cognitive Behavioral Therapies (CBT) offer a crucial solution to this problem, having been shown to increase abstinence success to 70–80%. This article examines traditional and novel CBT techniques in this regard, such as Acceptance and Commitment Therapy, which address both the underlying condition (insomnia/anxiety) and the substance-related disorder. The theoretical framework and evidence supporting the use of these approaches are reviewed. Finally, current research gaps are discussed, and key research perspectives are proposed.

Bi-directional relationships between co-morbid insomnia and sleep apnea (COMISA)

Insomnia and obstructive sleep apnea (OSA) commonly co-occur. Approximately 30-50% of patients with OSA report clinically significant insomnia symptoms, and 30-40% of patients with chronic insomnia fulfil diagnostic criteria for OSA. Compared to either insomnia or OSA alone, co-morbid insomnia and sleep apnea (COMISA) is associated with greater morbidity for patients, complex diagnostic decisions for clinicians, and reduced response to otherwise effective treatment approaches. Potential bi-directional causal relationships between the mechanisms and manifestations of insomnia and OSA could play an integral role in the development and management of COMISA. A greater understanding of these relationships is required to guide personalized diagnostic and treatment approaches for COMISA. This review summarizes the available evidence of bi-directional relationships between COMISA, including epidemiological research, case studies, single-arm treatment studies, randomized controlled treatment trials, and objective sleep study data. This evidence is integrated into a conceptual model of COMISA to help refine the understanding of potential bi-directional causal relationships between the two disorders. This theoretical framework is essential to help guide future research, improve diagnostic tools, determine novel therapeutic targets, and guide tailored sequenced and multi-faceted treatment approaches for this common, complex, and debilitating condition.

Guided Internet-Based Cognitive Behavioral Therapy for Insomnia: Health-Economic Evaluation From the Societal and Public Health Care Perspective Alongside a Randomized Controlled Trial

Background

The evidence base for internet-based cognitive behavioral therapy for insomnia (iCBT-I) is firm; however, little is known about iCBT-I’s health-economic effects.

Objective

This study aimed to evaluate the cost-effectiveness and cost–utility of iCBT-I in reducing insomnia among schoolteachers.

Methods

Schoolteachers (N=128) with clinically significant insomnia symptoms and work-related rumination were randomized to guided iCBT-I or a wait list control group, both with unrestricted access to treatment as usual. Health care use, patient and family expenditures, and productivity losses were self-assessed and used for costing from a societal and a public health care perspective. Costs were related to symptom-free status (score <8 on the insomnia severity index) and quality-adjusted life years (QALYs) gained. Sampling error was handled using nonparametric bootstrapping.

Results

Statistically significant differences favoring the intervention group were found for both health outcomes (symptom-free status yes or no: β=.30; 95% CI 0.16-0.43; QALYs: β=.019, 95% CI 0.01-0.03). From a societal perspective, iCBT-I had a 94% probability of dominating the wait list control for both health outcomes. From a public health care perspective, iCBT-I was more effective but also more expensive than the wait list control, resulting in an incremental cost-effectiveness ratio of €650 per symptom-free individual. In terms of QALYs, the incremental cost-effectiveness ratio was €11,285. At a willingness-to-pay threshold of €20,000 per QALY gained, the intervention’s probability of being cost-effective was 89%.

Conclusions

Our trial indicates that iCBT could be considered as a good value-for-money intervention for insomnia.

Trial Registration

German Clinical Trial Registry: DRKS00004700; https://tinyurl.com/2nnk57jm

International Registered Report Identifier (IRRID)

RR2-10.1186/1745-6215-14-169

The Social And Economic Cost Of Sleep Disorders

STUDY OBJECTIVES

To estimate economic cost of common sleep disorders in Australia for 2019-2020.

METHODS

Costs were estimated for obstructive sleep apnea (OSA), insomnia, and restless legs syndrome (RLS) using prevalence, financial, and nonfinancial data from national databases. These included: (1) financial costs associated with health care, informal care, productivity losses, non-medical accident costs, deadweight loss from taxation/welfare inefficiencies; and (2) nonfinancial costs associated with loss of well-being. They were expressed in US dollars ($).

RESULTS

Estimated overall cost of sleep disorders in Australia in 2019-2020 (population: 25.5 million) was $35.4 billion (OSA $13.1 billion; insomnia $13.3 billion, RLS $9.0 billion). Of this, the financial cost component was $10.0 billion, comprised of: health system costs $0.7 billion; productivity losses $7.7 billion; informal care $0.2 billion; other, mainly non-medical accident costs, $0.4 billion; and deadweight losses $1.0 billion. For moderate to severe OSA syndrome, insomnia unrelated to other conditions and RLS, financial costs represented $16,717, $21,982, and $16,624 per adult with the condition for the year, respectively. The nonfinancial cost was $25.4 billion.

CONCLUSIONS

The economic costs associated with sleep disorders are substantial. The financial component of $10.0 billion is equivalent to 0.73% of Australian gross domestic product. The nonfinancial cost of $25.4 billion represents 3.2% of total Australian burden of disease for the year. Health system costs of these disorders are low relative to those associated with their consequences, suggesting greater expenditure on detection, treatment and prevention is warranted.

Polysomnographic Predictors of Treatment Response to Cognitive Behavioral Therapy for Insomnia in Participants With Co-morbid Insomnia and Sleep Apnea: Secondary Analysis of a Randomized Controlled Trial

OBJECTIVE

Co-morbid insomnia and sleep apnea (COMISA) is a common and debilitating condition that is more difficult to treat compared to insomnia or sleep apnea-alone. Emerging evidence suggests that cognitive behavioral therapy for insomnia (CBTi) is effective in patients with COMISA, however, those with more severe sleep apnea and evidence of greater objective sleep disturbance may be less responsive to CBTi. Polysomnographic sleep study data has been used to predict treatment response to CBTi in patients with insomnia-alone, but not in patients with COMISA. We used randomized controlled trial data to investigate polysomnographic predictors of insomnia improvement following CBTi, versus control in participants with COMISA.

METHODS

One hundred and forty five participants with insomnia (ICSD-3) and sleep apnea [apnea-hypopnea index (AHI) ≥ 15] were randomized to CBTi (n = 72) or no-treatment control (n = 73). Mixed models were used to investigate the effect of pre-treatment AHI, sleep duration, and other traditional (AASM sleep macrostructure), and novel [quantitative electroencephalography (qEEG)] polysomnographic predictors of between-group changes in Insomnia Severity Index (ISI) scores from pre-treatment to post-treatment.

RESULTS

Compared to control, CBTi was associated with greater ISI improvement among participants with; higher AHI (interaction p = 0.011), less wake after sleep onset (interaction p = 0.045), and less N3 sleep (interaction p = 0.005). No quantitative electroencephalographic, or other traditional polysomnographic variables predicted between-group ISI change (all p > 0.09).

DISCUSSION

Among participants with COMISA, higher OSA severity predicted a greater treatment-response to CBTi, versus control. People with COMISA should be treated with CBTi, which is effective even in the presence of severe OSA and objective sleep disturbance.

Cost-effectiveness of digital cognitive behavioral therapy (Sleepio) for insomnia: a Markov simulation model in the United States

STUDY OBJECTIVES

To examine the cost-effectiveness and potential net monetary benefit (NMB) of a fully automated digital cognitive behavioral therapy (CBT) intervention for insomnia compared with no insomnia treatment in the United States (US). Similar relative comparisons were made for pharmacotherapy and clinician-delivered CBT (individual and group).

METHODS

We simulated a Markov model of 100,000 individuals using parameters calibrated from the literature including direct (treatment) and indirect costs (e.g. insomnia-related healthcare expenditure and lost workplace productivity). Health utility estimates were converted into quality-adjusted life years (QALYs) and one QALY was worth $50,000. Simulated individuals were randomized equally to one of five arms (digital CBT, pharmacotherapy, individual CBT, group CBT, or no insomnia treatment). Sensitivity was assessed by bootstrapping the calibrated parameters. Cost estimates were expressed in 2019 US dollars.

RESULTS

Digital CBT was cost beneficial when compared with no insomnia treatment and had a positive NMB of $681.06 (per individual over 6 months). Bootstrap sensitivity analysis demonstrated that the NMB was positive in 94.7% of simulations. Relative to other insomnia treatments, digital CBT was the most cost-effective treatment because it generated the smallest incremental cost-effectiveness ratio (-$3,124.73).

CONCLUSIONS

Digital CBT was the most cost-effective insomnia treatment followed by group CBT, pharmacotherapy, and individual CBT. It is financially prudent and beneficial from a societal perspective to utilize automated digital CBT to treat insomnia at a population scale.

Prevalence and associations of co-morbid insomnia and sleep apnoea in an Australian population-based sample

INTRODUCTION

Insomnia and obstructive sleep apnoea (OSA) are the two most prevalent sleep disorders, and frequently co-occur (COMISA) in sleep clinic samples. However, few studies have investigated the prevalence or associations of COMISA in the general population.

METHODS

We used population-based online survey data from 2044 Australian adults. The prevalence and associations of insomnia, OSA and COMISA were investigated according to symptom-level, and disorder-level definitions. Insomnia was defined according to chronic difficulties initiating and/or maintaining sleep (DIMS; symptom-level), and ICSD-3 chronic insomnia disorder (disorder-level). OSA was defined according to self-reported frequent obstructive events, snoring or doctor-diagnosed OSA (symptom-level), and doctor-diagnosed OSA (disorder-level). COMISA was defined if both conditions were met (for symptom-level, and disorder-level threshold). Associations with other conditions, and general health were investigated with Poisson regression analyses.

RESULTS

Chronic insomnia occurred more frequently among participants with doctor-diagnosed OSA (22.3%), compared to those without (14.3%, p = 0.010). Doctor-diagnosed OSA was more common among participants with chronic insomnia (10.2%) compared to those without (6.2%; p = 0.010). DIMS also occurred more frequently among participants with OSA symptoms (66.6%), compared to those without (47.2%; p < 0.001). Participants with symptom-level COMISA reported increased co-morbid conditions, and worse general health compared to participants with symptoms of insomnia-alone, OSA-alone, or neither insomnia/OSA.

CONCLUSIONS

COMISA at symptom and disorder level were common and associated with increased medical and psychiatric co-morbidity, as well as poor general health. More investigation is required to understand bi-directional associations underpinning the high co-morbidity, and improve diagnostic and treatment approaches for COMISA to reduce associated morbidity.

The effect of cognitive behavioural therapy for insomnia on sedative-hypnotic use: A narrative review

Although cognitive behavioural therapy for insomnia (CBTi) is the recommended 'first-line' treatment for insomnia, most patients are initially treated with sedative-hypnotic medications. Given the risk of impaired cognitive and psychomotor performance, serious adverse events, and long-term dependence associated with sedative-hypnotics, guidelines recommend that prescriptions should be limited to short-term use and that patients are provided with support for withdrawal where possible. CBTi is an effective insomnia treatment in the presence of sedative-hypnotic use. Furthermore, guidelines recommended that CBTi techniques are utilised to facilitate withdrawal from sedative-hypnotics. However, there is very little research evaluating the effect of CBTi on reduced medication use. The current narrative review integrates 95 studies including over 10,000 participants, investigating the effect of CBTi on reduced sedative-hypnotic use in different populations (e.g., hypnotic-dependent patients, older adults, military personnel), settings (e.g., primary care settings, psychiatric inpatients), CBTi modalities (e.g., self-administered reading/audio materials, digital, and therapist-administered), and in combination with gradual dose reduction programs. Based on this research, we discuss the theoretical mechanistic effects of CBTi in facilitating reduced sedative-hypnotic use, provide clear recommendations for future research, and offer pragmatic clinical suggestions to increase access to CBTi to reduce dependence on sedative-hypnotics as the 'default' treatment for insomnia.