Efficacy of internet-delivered cognitive-behavioral therapy for insomnia - A systematic review and meta-analysis of randomized controlled trials

eHealth Interventions for Treatment and Prevention of Depression, Anxiety, and Insomnia During Pregnancy: Systematic Review and Meta-analysis

BACKGROUND

Pregnancy is associated with an increased risk for depression, anxiety, and insomnia. eHealth interventions provide a promising and accessible treatment alternative to face-to-face interventions.

OBJECTIVE

The objective of this systematic review and meta-analysis is to determine the effectiveness of eHealth interventions in preventing and treating depression, anxiety, and insomnia during pregnancy. Secondary aims are to identify demographic and intervention moderators of effectiveness.

METHODS

A total of 5 databases (PsycINFO, Medline, CINAHL, Embase, and Cochrane) were searched from inception to May 2021. Terms related to eHealth, pregnancy, randomized controlled trials (RCTs), depression, anxiety, and insomnia were included. RCTs and pilot RCTs were included if they reported an eHealth intervention for the prevention or treatment of depression, anxiety, or insomnia in pregnant women. Study screening, data extractions, and quality assessment were conducted independently by 2 reviewers from an 8-member research team (KAS, PRS, Hangsel Sanguino, Roshni Sohail, Jasleen Kaur, Songyang (Mark) Jin, Makayla Freeman, and Beatrice Valmana). Random-effects meta-analyses of pooled effect sizes were conducted to determine the effect of eHealth interventions on prenatal mental health. Meta-regression analyses were conducted to identify potential moderators.

RESULTS

In total, 17 studies were included in this review that assessed changes in depression (11/17, 65%), anxiety (10/17, 59%), and insomnia (3/17, 18%). Several studies included both depression and anxiety symptoms as outcomes (7/17, 41%). The results indicated that during pregnancy, eHealth interventions showed small effect sizes for preventing and treating symptoms of anxiety and depression and a moderate effect size for treating symptoms of insomnia. With the exception of intervention type for the outcome of depressive symptoms, where mindfulness interventions outperformed other intervention types, no significant moderators were detected.

CONCLUSIONS

eHealth interventions are an accessible and promising resource for treating symptoms of anxiety, depression, and insomnia during pregnancy. However, more research is necessary to identify ways to increase the efficacy of eHealth interventions for this population.

TRIAL REGISTRATION

PROSPERO (International Prospective Register of Systematic Reviews) CRD42020205954; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=205954.

An overview of and recommendations for more accessible digital mental health services

Mental health concerns are common, and various evidence-based interventions for mental health conditions have been developed. However, many people have difficulty accessing appropriate mental health care and this has been exacerbated by the COVID-19 pandemic. Digital mental health services, such as those delivered by mobile phone or web-based platforms, offer the possibility of expanding the reach and accessibility of mental health care. To achieve this goal, digital mental health interventions and plans for their implementation must be designed with the end users in mind. In this Review, we describe the evidence base for digital mental health interventions across various diagnoses and treatment targets. Then, we explain the different formats for digital mental health intervention delivery, and offer considerations for their use across key age groups. We discuss the role that the COVID-19 pandemic has played in emphasizing the value of these interventions, and offer considerations for ensuring equity in access to digital mental health interventions among diverse populations. As healthcare providers continue to embrace the role that technology can play in broadening access to care, the design and implementation of digital mental healthcare solutions must be carefully considered to maximize their effectiveness and accessibility.

Very long-term outcome of cognitive behavioral therapy for insomnia: one- and ten-year follow-up of a randomized controlled trial

Insomnia is a common and chronic disorder, and cognitive behavioral therapy (CBT) is the recommended treatment. Very long-term follow-ups of CBT are very rare, and this study aimed to investigate if improvements were stable one and ten years after CBT for insomnia (CBT-i). Based on a three-armed randomized controlled trial of bibliotherapeutic CBT-i, participants received an insomnia-specific self-help book and were randomized to therapist guidance, no guidance, or a waitlist receiving unguided treatment after a delay. Six weeks of treatment was given to 133 participants diagnosed with insomnia disorder. After one and ten years, participants were assessed with self-reports and interviews. Improvements were statistically significant and well maintained at one- and ten-year follow-ups. Average Insomnia Severity Index score [95%CI] was 18.3 [17.7-18.8] at baseline, 10.1 [9.3-10.9] at post-treatment, 9.2 [8.4-10.0] at one- and 10.7 [9.6-11.8] at ten-year follow-up, and 64% and 66% of participants no longer fulfilled criteria for an insomnia diagnosis at one and ten years, respectively. Positive effects of CBT were still present after ten years. Insomnia severity remained low, and two-thirds of participants no longer fulfilled criteria for an insomnia diagnosis. This extends previous findings of CBT, further confirming it as the treatment of choice for insomnia.

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.

Positive impacts of e-aid cognitive behavioural therapy on the sleep quality and mood of nurses on site during the COVID-19 pandemic

Objective

To investigate the positive impact of e-aid cognitive behavioural therapy on the sleep quality, anxiety, and depression of nurses on site during the COVID-19 pandemic.

Methods

Nurses on site at the Tianjin Medical University General Hospital Airport Site experiencing insomnia, anxiety and depression during the COVID-19 prevention and control period, from February 2020 to April 2021, were selected and divided into either an e-aid cognitive behavioural therapy (eCBT-I) group or a control group using a randomized grouping method. The eCBT-I group was given standard eCBT-I for 6 weeks; the control group did not get any intervention. The Pittsburgh Sleep Quality Index (PSQI) and the Insomnia Severity Index (ISI) were used to evaluate the sleep quality of the subjects. The Generalized Anxiety Disorder 7-item (GAD-7) and the Patient Health Questionnaire (PHQ-9) were used to assess the subjects’ anxiety and depression. Changes in sleep quality, anxiety and depression before and after treatment were compared between the two groups.

Results

Of 118 nurses randomized, the PSQI and ISI scores within the eCBT-I group (n=60) were significantly lower after treatment (5.9 ± 3.9, 6.7 ± 4.5) than before treatment (10.4 ± 3.5, 12.4 ± 4.7) (p <0.05). Compared to the scores of the control group (n=58) (9.1 ± 3.9, 10.6 ± 4.1), the PSQI and ISI scores in the eCBT-I group (5.9 ± 3.9, 6.7 ± 4.5) were lower after treatment (p <0.05). The GAD-7 and PHQ-9 scores in the eCBT-I group were all lower after treatment (3.7±3.4, 4.2±4.1) than before treatment (6.7±4.9, 7.7±5.1) (p <0.05). Compared with subjects in the control group (7.1±5.6, 7.3±5.1), subjects in the eCBT-I group (3.7±3.4, 4.2±4.1) had lower scores on the GAD-7 and PHQ-9 scales after treatment (p <0.05).

Conclusion

eCBT-I improved the sleep quality of frontline nurses during the COVID-19 prevention and control period and relieved anxiety and depression.

Emerging Treatments for Insomnia, Sleep Apnea, and Restless Leg Syndrome Among Dialysis Patients

Sleep disturbances are highly prevalent in patients with predialysis chronic kidney disease, end-stage kidney disease, and after a kidney transplant. They contribute to impairment in daily function and are associated with a high burden of physical and psychiatric symptoms, decreased quality of life, and increased morbidity and mortality. Sleep disturbances also may precipitate and accelerate kidney disease progression. They often evolve across the spectrum of kidney dysfunction and may persist or re-emerge in kidney transplant recipients. Investigation into the multifaceted and dynamic relationships between sleep disturbance and chronic kidney disease requires consideration of myriad contributors including the progression of kidney disease itself, the role of treatment via dialysis and kidney transplant, psychosocial factors, and underlying sleep disorders. Despite sleep disturbance being identified as a priority to address by patients and caregivers, sleep disorders including insomnia, sleep apnea, and restless leg syndrome remain under-recognized and undertreated, and innovation in their management remains modest. In this article, we review the relationships between sleep disturbance and kidney disease, the impact of sleep disturbance and sleep disorders on symptom burden and mental health, and treatment opportunities that may address overlapping symptoms across the spectrum of kidney disease and that could improve patient-related and clinical outcomes.

Factors influencing the efficiency of cellphone-based CBT for treating sleep disorders

OBJECTIVE

This survey aimed to better comprehend the factors influencing patient response to insomnia treatment.

METHODS

We conducted an online survey. A total of 1,395 patients completed the questionnaire at baseline. Insomnia, anxiety and depressive symptoms were evaluated using the Pittsburgh Sleep Quality Index (PSQI), 7-item Generalized Anxiety Disorder assessment (GAD-7) and 9-item Patient Health Questionnaire (PHQ-9), respectively. A total of 488 patients completed at least two surveys (baseline and monthly surveys thereafter) and reported that the online CBT was effective at the 1-year follow-up. The 488 patients were divided into three groups: the rapid (treatment effective at 4 weeks), intermediate (4-16 weeks), and delayed-response group (over 16 weeks).

RESULTS

Analysis of the demographic characteristics of the 488 patients did not reveal significant sex differences among the three groups (P = 0.111). However, the groups significantly differed in age (P = 0.001) and education (P = 0.006). Compared to the rapid response group, the delayed-response group had a higher mean age (P < 0.01) and a slightly lower level of education. The duration of the disorder was longer in the delayed-response group. Multivariate logistic regression showed that male sex, junior high school education, and higher PSQI were independent risk factors for the delayed response to treatment.

CONCLUSION

Many factors affected the efficiency of insomnia treatment. Male sex, junior school education, and a high PSQI score predicted delayed response to insomnia treatment.

The Survivorship Sleep Program (SSP): A synchronous, virtual cognitive behavioral therapy for insomnia pilot program among cancer survivors

BACKGROUND

For cancer survivors, insomnia is prevalent, distressing, and persists for years if unmanaged. Cognitive behavioral therapy for insomnia (CBT-I) is an effective treatment yet can be difficult to access and may require modification to address survivorship-specific barriers to sleep. In this 2-phase study, the authors adapted and assessed the feasibility, acceptability, and preliminary effects of synchronous, virtual CBT-I adapted for cancer survivors (the Survivorship Sleep Program [SSP]).

METHODS

From April to August 2020, cancer survivors with insomnia (N = 10) were interviewed to refine SSP content and delivery. From October 2020 to March 2021, 40 survivors were recruited for a randomized controlled trial comparing 4 weekly SSP sessions with enhanced usual care (EUC) (CBT-I referral plus a sleep hygiene handout). Feasibility and acceptability were assessed by enrollment, retention, attendance, fidelity, survey ratings, and exit interviews. Insomnia severity (secondary outcome), sleep quality, sleep diaries, and fatigue were assessed at baseline, postintervention, and at 1-month follow-up using linear mixed models.

RESULTS

The SSP included targeted content and clinician-led, virtual delivery to enhance patient centeredness and access. Benchmarks were met for enrollment (56% enrolled/eligible), retention (SSP, 90%; EUC, 95%), attendance (100%), and fidelity (95%). Compared with EUC, the SSP resulted in large, clinically significant improvements in insomnia severity (Cohen d = 1.19) that were sustained at 1-month follow-up (Cohen d = 1.27). Improvements were observed for all other sleep metrics except sleep diary total sleep time and fatigue.

CONCLUSIONS

Synchronous, virtually delivered CBT-I targeted to cancer survivors is feasible, acceptable, and seems to be efficacious for reducing insomnia severity. Further testing in larger and more diverse samples is warranted.

Testing an early online intervention for the treatment of disturbed sleep during the COVID-19 pandemic in self-reported good and poor sleepers (Sleep COVID-19): study protocol for a randomised controlled trial

Background

Theoretical models of insomnia suggest that stressful life events, such as the COVID-19 pandemic, can cause acute insomnia (short-term disruptions to sleep). Early interventions may prevent short-term sleep problems from progressing to insomnia disorder. Although cognitive behavioural therapy for insomnia (CBT-I) is effective in treating insomnia disorder, this can be time and resource-intensive. Further, online interventions can be used to deliver treatment to a large number of individuals. The objective of this study is to investigate if an online behavioural intervention, in the form of a leaflet, which has been successfully used alongside CBT-I for acute insomnia, can reduce symptoms of acute insomnia in poor sleepers.

Methods

A total of 124 self-reported good and poor sleepers will be enrolled in an online stratified randomised controlled trial. After baseline assessments (T1), participants will complete a 1-week pre-intervention sleep monitoring period (T2) where they will complete daily sleep-diaries. Poor sleepers (n = 62) will be randomly allocated to an invention or wait-list group, where they will receive the intervention (T3), or will do so after a 28-day delay. Good sleepers (n = 62) will be randomly assigned to an intervention or no intervention group. All participants will complete a 1-week post intervention sleep monitoring period using daily sleep diaries (T4). Participants will be followed up at 1 week (T5), 1 month (T6) and 3 months (T7) post intervention. The primary outcome measure will be insomnia severity, measured using the Insomnia Severity Index. Secondary outcome measures will include subjective mood and subjective sleep continuity, measured using sleep diaries. Data will be analysed using an intention-to-treat approach.

Discussion

It is expected that this online intervention will reduce symptoms of acute insomnia in self-reported short-term poor sleepers, and will also prevent the transition to poor sleep in good sleepers. We expect that this will demonstrate the feasibility of online interventions for the treatment and prevention of acute insomnia. Specific advantages of online approaches include the low cost, ease of administration and increased availability of treatment, relative to face-to-face therapy.

Trial registration

ISRCTN43900695 (Prospectively registered 8th of April 2020).

Mode of delivery of Cognitive Behavioral Therapy for Insomnia: a randomized controlled non-inferiority trial of digital and face-to-face therapy

STUDY OBJECTIVES

Digital Cognitive Behavioral Therapy for Insomnia (dCBT-I) has demonstrated efficacy in reducing insomnia severity in self-referred and community samples. It is unknown, however, how dCBT-I compares to individual face-to-face (FtF) CBT-I for individuals referred to clinical secondary services. We undertook a randomized controlled trial to test whether fully automated dCBT-I is non-inferior to individual FtF CBT-I in reducing insomnia severity.

METHODS

Eligible participants were adult patients with a diagnosis of insomnia disorder recruited from a sleep clinic provided via public mental health services in Norway. The Insomnia Severity Index (ISI) was the primary outcome measure. The non-inferiority margin was defined a priori as 2.0 points on the ISI at week 33.

RESULTS

Individuals were randomized to FtF CBT-I (n = 52) or dCBT-I (n = 49); mean baseline ISI scores were 18.4 (SD 3.7) and 19.4 (SD 4.1), respectively. At week 33, the mean scores were 8.9 (SD 6.0) and 12.3 (SD 6.9), respectively. There was a significant time effect for both interventions (p < 0.001); and the mean difference in ISI at week 33 was -2.8 (95% CI: -4.8 to -0.8; p = 0.007, Cohen's d = 0.7), and -4.6 at week 9 (95% CI -6.6 to -2.7; p < 0.001), Cohen's d = 1.2.

CONCLUSIONS

At the primary endpoint at week 33, the 95% CI of the estimated treatment difference included the non-inferiority margin and was wholly to the left of zero. Thus, this result is inconclusive regarding the possible inferiority or non-inferiority of dCBT-I over FtF CBT-I, but dCBT-I performed significantly worse than FtF CBT-I. At week 9, dCBT-I was inferior to FtF CBT-I as the 95% CI was fully outside the non-inferiority margin. These findings highlight the need for more clinical research to clarify the optimal application, dissemination, and implementation of dCBT-I. Clinicaltrials.gov: NCT02044263: Cognitive Behavioral Therapy for Insomnia Delivered by a Therapist or on the Internet: a Randomized Controlled Non-inferiority Trial.

My Health Too: Investigating the Feasibility and the Acceptability of an Internet-Based Cognitive-Behavioral Therapy Program Developed for Healthcare Workers

Background: The COVID-19 crisis has had a considerable mental health impact on healthcare workers. High levels of psychological distress are expected to have a significant impact on healthcare systems, warranting the need for evidence-based psychological interventions targeting stress and fostering resilience in this population. Online cognitive behavioral therapy (CBT) has proved to be effective in targeting stress and promoting resilience. However, online CBT programs targeting stress in healthcare workers are lacking. Objective: The aim of our study is to evaluate the feasibility and acceptability of an internet-based CBT intervention, the My Health Too program we developed during the first COVID-19 epidemic peak in France. Methods: We recruited 10 participants among Alsace region hospital staff during the first peak of the pandemic in France. They were given 1 week to test the website and were then asked to answer an internet survey and a semi-structured phone interview. Results: We conducted a thematic analysis of the content from the phone interviews. Major themes were identified, discussed and coded: the technical aspects, the content of the website and its impact on participants' emotions and everyday life. Overall, the participants reported finding the website easy to use and interactive. They described the resources as easy to understand, readily usable, and useful in inducing calm and in helping them practice self-compassion. Conclusion: Our results suggest that the My Health Too online CBT program is highly feasible and acceptable to healthcare workers during the highly stressful times of the pandemic peak. The feedback provided helped to improve the program whose efficacy is to be tested.

A self-guided Internet-delivered intervention for adults with ADHD: a protocol for a randomized controlled trial

BACKGROUND

Attention-deficit/hyperactivity disorder (ADHD) in adulthood, with an estimated prevalence of 2-3%, is associated with several challenges in daily life functioning. The availability of evidence-based psychological interventions for adults with ADHD is still poor. Interventions delivered over the Internet on smartphones or personal computers may help to increase the availability of effective psychological interventions. The primary aim of this randomized controlled trial is to examine the efficacy of a self-guided Internet-delivered intervention on severity levels of ADHD symptomatology and quality of life.

METHODS

We aim to include 118 participants with a self-reported ADHD diagnosis in a randomized controlled trial with two arms: 1) self-guided Internet-delivered intervention for coping with ADHD (N = 59); 2) self-guided online psychoeducation (control group, N = 59). After 3 months, the control group will be given access to the intervention. The primary clinical outcomes are inattention and quality of life. Secondary clinical outcomes are hyperactivity, stress and depression. Measures will be obtained at three time points: before (baseline), immediately after (8 weeks) and 3 months after the intervention. Uptake, usage, adherence and satisfaction will be explored.

DISCUSSION

This RCT will provide valuable information on the clinical effectiveness of an Internet-delivered intervention for adults with ADHD. This study is, to our knowledge, one of the first randomized control trials that investigates the effects of a self-guided Internet-delivered psychological intervention in a fairly large group of adults with ADHD.

TRIAL REGISTRATION

ClinicalTrials.gov, Identifier NCT04726813, January 27, 2021.

Prognostic and predictive analysis of effectiveness of pharmacological and non-pharmaceutical treatment approaches for chronic insomnia

Background. Limited access to cognitive behavioral therapy for insomnia (CBT-I) which is the most effective and safe treatment approach for chronic insomnia leads to the elaboration of shortened and interned delivered CBT-I methods. Investigation of effectiveness predictors of the new methods is important for their better result. Aim. Investigation of effectiveness predictors for pharmacotherapy and CBT-I based brief behavioral therapy for insomnia (BBT-I). Materials and methods. The data for the analysis were acquired from a randomized study of 42 participants with chronic insomnia who received either zopiclone 7.5 mg or BBT-I for 2 weeks. The difference of the insomnia severity index from pre- to post-treatment was the main outcome measure. Potential predictors included demographic and medical history data, objective sleep characteristics, baseline scores of Beck depression inventory (BDI), Spielberger anxiety scale, Toronto alexithymia scale, sleep hygiene index, dysfunctional beliefs and attitudes about sleep scale, Epworth sleepiness scale. Univariate linear regression analysis was used for prognostic analysis. To identify predictors of treatment outcome after the treatment course and after the 2 weeks follow-up we used multiple linear regression models with interaction. Results. In the prognostic analysis higher amount of awakenings during the night and a higher proportion of the 1 stage NREM sleep measured objectively correlated with better outcome E=0.2202 (p=0.05) and E=0.55 (p=0.039) respectively. Older age and higher baseline BDI score significantly worsened the outcome: E=0.233 (p=0.047) and E=0.2 (р=1.55e-06) respectively. Clinical predictors of the BBT-I effectiveness were an absence of the sleep onset problems and absence of GABA hypnotics use in medical history and the higher baseline daytime sleepiness. Conclusion. Neurophysiological (frequency of awakenings, percentage of the sleep stage N1) and clinical (severity of depression, age, daytime sleepiness) predictors of the effectiveness of BBT-I were revealed. This findings will help to select the patients who should undergo a shortened course of CBT-I.

The Implementation and Effectiveness of Digital Cognitive Behavioral Therapy for Insomnia in Primary Care: A Pilot Study

Background

Digital interventions delivering Cognitive Behavioral Therapy for insomnia (Digital CBTi) may increase utilization of effective care for a common and serious condition. A low-intensity implementation strategy may facilitate digital CBTi use in healthcare settings. This pilot study assessed the feasibility of implementing a digital CBTi in Veterans Health Administration (VA) primary care through iterative modifications to a low-intensity implementation strategy, while evaluating clinical outcomes of a specific digital CBTi program.

Methods

A self-directed digital CBTi was implemented in the primary care clinics of a single VA facility using a cohort trial design that iteratively modified an implementation strategy over three 8-month phases. The phase 1 implementation strategy included (1) provider education; (2) point-of-care information via pamphlets; and (3) provider referral to digital CBTi through phone calls or messages. Phases 2 and 3 maintained these activities, while (1) adding a clinic-based coach who performed initial patient education and follow-up support contacts, (2) providing additional recruitment pathways, and (3) integrating the referral mechanism into provider workflow. Implementation outcomes included provider adoption, patient adoption, and acceptability. Clinical outcomes (insomnia severity, depression severity, and sedative hypnotic use) were compared among enrollees at baseline and 10 weeks.

Results

Across all phases 66 providers (48.9%) made 153 referrals, representing 0.38% of unique clinic patients. Of referrals, 77 (50.3%) enrolled in the study, 45 (29.4%) engaged in the program, and 24 (15.7%) completed it. Provider and patient adoption did not differ meaningfully across phases. Among enrollees, digital CBTi was acceptable and the Insomnia Severity Index decreased by 4.3 points (t = 6.41, p < 0.001) and 13 (18.6%) reached remission. The mean number of weakly sedative-hypnotic doses decreased by 2.2 (35.5%) (t = 2.39, p < 0.02).

Conclusions

Digital CBTi implementation in VA primary care is feasible using low-intensity implementation strategy, resulting in improved clinical outcomes for users. However, iterative implementation strategy modifications did not improve adoption. The trial was registered at clinicaltrials.gov (NCT03151083).

Efficacy of a stepped care approach to deliver cognitive-behavioral therapy for insomnia in cancer patients: a noninferiority randomized controlled trial

STUDY OBJECTIVES

Cognitive-behavioral therapy for insomnia (CBT-I) is the recommended first-line treatment for cancer-related insomnia, but its accessibility is very limited in routine care. A stepped care approach has been recommended as a cost-effective way to make CBT-I more widely accessible. However, no controlled study has yet been published about the efficacy of this approach. The goal of this noninferiority randomized controlled trial (RCT) was to compare the short and long-term efficacy of a stepped care CBT-I (StepCBT-I) to a standard face-to-face CBT-I (StanCBT-I).

METHODS

A total of 177 cancer patients were randomized to: (1) StanCBT-I (6 face-to-face CBT-I sessions; n = 59) or (2) StepCBT-I (n = 118). In the StepCBT-I group, patients with less severe insomnia first received a web-based CBT-I (n = 65), while those with more severe insomnia received 6 face-to-face CBT-I sessions (n = 53). In both cases, patients could receive up to three booster sessions of CBT-I if they still had insomnia symptoms following this first step.

RESULTS

Results indicated that the Step-CBT-I group showed an Insomnia Severity Index score reduction and a sleep efficiency (on a sleep diary) increase that was not significantly inferior to that of StanCBT-I at all post-treatment time points. Analyses of secondary outcomes indicated significant time effects (ps < .001) and no significant group-by-time interactions (ps from .07 to .91) on other sleep diary parameters, sleep medication use, depression, anxiety, fatigue, and quality of life scores.

CONCLUSION(S)

The efficacy of stepped care CBT-I is not inferior to that of a standard face-to-face intervention and is a valuable approach to making this treatment more widely accessible to cancer patients.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT01864720 (https://clinicaltrials.gov/ct2/show/NCT01864720?term=Savard&draw=2&rank=6; Stepped Care Model for the Wider Dissemination of Cognitive-Behavioural Therapy for Insomnia Among Cancer Patients).

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.

Impact of an Online Sleep and Circadian Education Program on University Students' Sleep Knowledge, Attitudes, and Behaviours

University students consistently report poor sleep. We conducted a before-and-after study to evaluate the impact of an online 10-week course on undergraduate students' sleep knowledge, attitudes, and behaviours at 6-month follow-up. Data were collected via baseline course surveys (August-September 2020) and follow-up surveys distributed via email (February-March 2021). n = 212 students completed baseline surveys and n = 75 (35%) completed follow-up. Students retained to follow-up possessed higher baseline sleep knowledge and received higher course grades. At the 6-month follow-up, sleep knowledge had increased (mean score out of 5: 3.0 vs. 4.2, p < 0.001). At baseline, 85% of students aimed to increase their sleep knowledge and 83% aimed to improve their sleep. At follow-up, 91% reported being more knowledgeable and 37% reported improved sleep. A novel Stages of Change item revealed that 53% of students' attitudes towards their sleep behaviours had changed from baseline. There was a reduction in sleep latency at follow-up (mean 33.3 vs. 25.6 min, p = 0.015), but no change in the total Pittsburgh Sleep Quality Index score. In summary, completion of an online course led to increased sleep and circadian knowledge and changed sleep attitudes, with no meaningful change in sleep behaviours. Future interventions should consider components of behavioural change that go beyond the knowledge-attitudes-behaviour continuum.

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.

Effectiveness of an internet-based intervention to improve sleep difficulties in a culturally diverse sample of international students: A randomised controlled pilot study

Sleep difficulties are widespread among international students. Internet-based interventions are suggested as a low-threshold treatment option but may require cultural adaptation among culturally diverse populations. The present pilot study investigated the effectiveness and acceptance of an internet-based intervention to improve sleep difficulties in international students. A total of 81 international students of 36 nationalities were randomly assigned to the intervention (n = 41) or waitlist control group (n = 40). The intervention group received immediate access to a culturally non-adapted unguided internet-based sleep intervention consisting of three modules based on sleep hygiene and cognitive techniques to reduce rumination. At baseline, 4 and 12 weeks after randomisation, insomnia severity, measured by the Insomnia Severity Index, and secondary outcomes (sleep quality, depression, anxiety, perceived stress, well-being, presenteeism, mental health literacy) were assessed. Data were analysed using linear multi-level analyses. Additionally, satisfaction and perceived cultural appropriateness of the intervention were evaluated by international students after 4 weeks, and compared with ratings of German students, who represent the original target group. Insomnia severity improved over time in the intervention group compared to the control group, revealing a significant estimated mean difference of -5.60 (Hedges' g = 0.84, p < 0.001) after 12 weeks. Satisfaction and perceived cultural appropriateness was high and comparable to that of German students. The present study shows that a culturally non-adapted internet-based sleep intervention can be a low-threshold treatment option to help meet the high demand for mental healthcare among international students. It thus indicates that cultural adaptation might not represent a precondition for providing effective internet-based sleep interventions to this target group.

Smartphone-based virtual agents and insomnia management: A proof-of-concept study for new methods of autonomous screening and management of insomnia symptoms in the general population

Insomnia is the most frequent sleep disorder, and the COVID-19 crisis has massively increased its prevalence in the population, due to psychosocial stress or direct viral contamination. KANOPEE_2 is a smartphone-based application that provides interactions with a virtual agent to autonomously screen and alleviate insomnia symptoms through an intervention programme giving personalized advices regarding sleep hygiene, relaxation techniques and stimulus-control. In this proof-of-concept study, we tested the effects of KANOPEE_2 among users from all over the country (France) who downloaded the app between 1 June and 26 October 2020 (to focus on effects after the end of COVID-19 confinement). Outcome measures include insomnia severity (Insomnia Severity Index) and sleep/wake schedules measured by a sleep diary. One-thousand and thirty-four users answered the screening interview (M_age  = 43.76 years; SD = 13.14), and 108 completed the two-step programme (M_age  = 46.64 years; SD = 13.63). Of those who answered the screening, 42.8% did not report sleep complaints, while 57.2% presented mild-to-severe insomnia symptoms. At the end of the intervention, users reported significantly fewer sleep complaints compared with the beginning of the intervention (Insomnia Severity Index_beginning  = 13.58; Insomnia Severity Index_end  = 11.30; p < 0.001), and significantly increased their sleep efficiency (sleep efficiency_beginning  = 76.46%; sleep efficiency_end  = 80.17%; p = 0.013). KANOPEE_2 is a promising solution both to provide autonomous evaluation of individuals' sleep hygiene and reduce insomnia symptoms over a brief and simple intervention. These results are very encouraging for addressing the issue of insomnia management in people exposed to major psychosocial stress and the consequences of COVID-19 infection.

Effectiveness of Information and Communication Technology (ICT) Interventions in Elderly's Sleep Disturbances: A Systematic Review and Meta-Analysis

Sleep is a crucial factor for human health and is closely related to quality of life. Sleep disturbances constitute a health problem that should be solved, especially when it affects the elderly. This study aims to examine the effectiveness of information and communication technologies (ICT) interventions in managing sleep disturbances in the elderly. The study used a systematic review of three databases: Ovid-Medline, Ovid-EMBASE, and the Cochrane library database for papers published till 15 April 2021. Two authors independently selected and screened relevant studies based on predefined inclusion criteria. The meta-analysis of randomized controlled trials (RCTs) was carried out using Review Manager 5.4. Two authors independently screened the titles and abstracts of 4297 studies considering both inclusion and exclusion criteria. The complete texts of 47 articles were then evaluated, 31 articles were excluded, and finally, 16 articles were selected. Our meta-analysis showed that the cognitive-behavioral therapy for insomnia (CBT-I) group had a significantly reduced Insomnia Severity Index (ISI) compared to the control group (−4.81 [−5.56, −4.06], p < 0.00001, I² = 83%) in RCTs, with a significant reduction in ISI (3.47 [1.58, 5.35], p = 0.0003) found in quasi-experimental studies. A significant improvement was found in total sleep time in the CBT-I group compared to the control group (29.24 [15.41, 43.07], p <0.0001) in RCTs, while the CBT-I group showed significantly reduced wake time after sleep onset compared to the control group (−20.50 [−26.60, −14.41], p < 0.00001). In addition, a significant reduction in depression was found in the CBT-I group compared to the control group (−2.11 [−2.85, −1.37], p < 0.00001, I² = 0%) in RCTs. The quality of life–mental component score (5.75 [1.64, 9.87], p = 0.006, I² = 0%) and the quality of life–physical component score (5.19 [0.76, 9.62], p = 0.02, I² = 0%) showed significant improvement in the CBT-I group compared to the control group. ICT interventions showed positive effects on sleep disturbances of the elderly, specifically confirming the positive effect on depression and quality of life as well as the indicators directly related to sleep such as ISI and quality of sleep. Thus, the application of ICT in the healthcare sector will be greater in the future, with changes in the nursing education and practice guidelines so that nurses can play a pivotal role in promoting health behaviors such as sleep-related quality of life and daily activities of the elderly.

SERIES: eHealth in primary care. Part 5: A critical appraisal of five widely used eHealth applications for primary care - opportunities and challenges

Background

Given the pressure on modern healthcare systems, eHealth can offer valuable opportunities. However, understanding the potential and challenges of eHealth in daily practice can be challenging for many general practitioners (GPs) and their staff.

Objectives

To critically appraise five widely used eHealth applications, in relation to safe, evidence-based and high-quality eHealth. Using these applications as examples, we aim to increase understanding of eHealth among GPs and highlight the opportunities and challenges presented by eHealth.

Discussion

eHealth applications can support patients while increasing efficiency for GPs. A three-way division (inform, monitor, track; interaction; data utilisation) characterises many eHealth applications, with an increasing degree of complexity depending on the domain. All applications provide information and some have extra functionalities that promote interaction, while data analysis and artificial intelligence may be applied to support or (fully) automate care processes. Applications in the inform domain are relatively easy to use and implement but their impact on clinical outcomes may be limited. More demanding applications, in terms of privacy and ethical aspects, are found in the data utilisation domain and may potentially have a more significant impact on care processes and patient outcomes. When selecting and implementing eHealth applications, we recommend that GPs remain critical regarding preconditions on safe, evidence-based and high-quality eHealth, particularly in the case of more complex applications in the data utilisation domain.

A feasibility study of a mobile app to treat insomnia

Insomnia is a major public health concern. Sleep restriction therapy (SRT) is an effective behavioral treatment but its delivery is impeded by a shortage of trained clinicians. We developed a mobile app delivering SRT to individuals with insomnia. This feasibility study employed a mixed-methods design to examine the engagement, acceptability, and potential efficacy of the mobile app. Fifteen participants diagnosed with insomnia disorder used the mobile app synchronized with a wearable device for 3 weeks. Those who persisted with the study (n = 12) found the mobile app to be highly acceptable and engaging, logging on average 19 nightly sleep diary entries across the 21 day period. Significant improvements were observed for sleep measures (insomnia severity and sleep efficiency) and daytime symptoms (fatigue and sleepiness). The results suggest that a mobile app delivering SRT to individuals with insomnia is engaging, acceptable, and potentially efficacious. Further, a full-scale effectiveness study is warranted.

Internet-delivered CBT intervention (Space for Sleep) for insomnia in a routine care setting: Results from an open pilot study

Insomnia is a highly prevalent, often comorbid disorder associated with difficulties sleeping, remaining awake, and impaired quality of life. Internet-delivered Cognitive Behavioral Therapy for insomnia (ICBT-I) has the potential to help large numbers of people with sleep disorders. This study investigated the preliminary effects of an 8-week guided ICBT-I intervention within a routine stepped-care service. Fifty-six (N = 56) patients consented to participate. The primary outcome was assessed using the Insomnia Severity Index (ISI) and secondary outcome measures included the Patient Health Questionnaire 9-item (PHQ-9), Generalized Anxiety Disorder 7-item (GAD-7), and the Work and Social Adjustment Scale (WSAS), each administered at baseline and weekly thereafter. Intention-to-treat analyses indicated that ICBT-I produced statistically significant pre- to post- reductions in symptoms of insomnia, yielding within-group effects of d = 0.82 suggesting a potential for improved outcomes. Similar improvements were seen across secondary outcomes, with small-to-medium post-treatment within-group effects observed: depression (d = 0.63), anxiety (d = 0.39), and functional impairment (d = 0.31). These findings are supportive of the intervention's potential effectiveness and speak to the importance of several implementation factors that could enhance the effects of the intervention. The results contribute to the growing evidence base for digital interventions designed to help those with sleep difficulties and will inform the design of a future controlled evaluation of ICBT-I under routine clinical settings.

Prevalence of Smell or Taste Dysfunction Among Children With COVID-19 Infection: A Systematic Review and Meta-Analysis

Background: Smell and taste dysfunctions are common and have been reported as an early indicator of COVID-19. The prevalence of smell and taste dysfunctions among children with COVID-19 varies greatly across studies, which remains to be summarized quantitatively. This review aimed at examining the pooled prevalence of smell or taste dysfunctions among children with COVID-19, summarizing possible causes of the inconsistencies in the current estimates. Methods: Systematic searches of databases were conducted for literature published until 12 January 2021. Statistical analyses were performed using R software, the pooled prevalence was combined using random effects model. The Loney criteria were used for quality assessment. Results: A total of 18 eligible studies were included. The results showed that the pooled prevalence of smell dysfunction among children with COVID-19 was 15.97% (95% CI: 8.18-23.77%), the pooled prevalence of taste dysfunction among children with COVID-19 was 9.20% (95% CI: 4.25-14.16%), the pooled prevalence of smell or taste dysfunction among children with COVID-19 was 15.50% (95% CI: 10.30-20.70%) and the pooled prevalence of smell and taste dysfunction among children with COVID-19 was 20.21% (95% CI: 14.14-26.28%). Higher smell or taste dysfunction rates were associated with being female, younger age, smaller sample size, patients in Asia, and with comorbidities. Conclusions: Evidence suggests that smell or taste dysfunctions were common among children with COVID-19. Further research is needed to identify effective strategies for preventing and treating smell and taste dysfunctions among children with COVID-19.

What mental health professionals and organisations should do to address climate change

AIMS AND METHOD

The climate change emergency is also a mental healthcare emergency. We seek to provide a framework for what mental health professionals and organisations should do to make their practice more sustainable.

RESULTS

There are ethical, legal and organisational imperatives to make mental healthcare more sustainable. Mental healthcare must be refocused with an emphasis on prevention, building social capital and community resilience. Patients must be empowered to manage their own mental health. Efficiencies should be found within the system. Low-carbon ways to deliver care must be found, measured and improved upon. Greater adaptability needs to be built into the system to mitigate the impact of climate change. Sustainability should be integrated into training programmes, and good examples of practice shared and celebrated.

CLINICAL IMPLICATIONS

Mental health organisations and individuals must act now to prevent and adapt for the climate and ecological emergency. Sustainable practice is also good practice.

Efficacy of an m-Health Physical Activity and Sleep Intervention to Improve Sleep Quality in Middle-Aged Adults: The Refresh Study Randomized Controlled Trial

BACKGROUND

Poor sleep health is highly prevalent. Physical activity is known to improve sleep quality but not specifically targeted in sleep interventions.

PURPOSE

To compare the efficacy of a combined physical activity and sleep intervention with a sleep-only intervention and a wait-list control, for improving sleep quality in middle-aged adults without a diagnosed sleep disorder.

METHODS

Three-arm randomized controlled trial (Physical Activity and Sleep Health (PAS), Sleep Health Only (SO), Wait-list Control (CON) groups; 3-month primary time-point, 6-month follow-up) of 275 (PAS = 110, SO = 110, CON = 55) inactive adults (40-65 years) reporting poor sleep quality. The main intervention component was a smartphone/tablet "app" to aid goal setting and self-monitoring physical activity and/or sleep hygiene behaviors (including stress management), and a pedometer for PAS group. Primary outcome was Pittsburgh Sleep Quality Index (PSQI) global score. Secondary outcomes included several self-reported physical activity measures and PSQI subcomponents. Group differences were examined stepwise, first between pooled intervention (PI = PAS + SO) and CON groups, then between PAS and SO groups.

RESULTS

Compared with CON, PI groups significantly improved PSQI global and subcomponents scores at 3 and 6 months. There were no differences in sleep quality between PAS and SO groups. The PAS group reported significantly less daily sitting time at 3 months and was significantly more likely to report ≥2 days/week resistance training and meeting physical activity guidelines at 6 months than the SO group.

CONCLUSIONS

PIs had statistically significantly improved sleep quality among middle-aged adults with poor sleep quality without a diagnosed sleep disorder. The adjunctive physical activity intervention did not additionally improve sleep quality.

CLINICAL TRIAL INFORMATION

Australian New Zealand Clinical Trial Registry: ACTRN12617000680369; Universal Trial number: U1111-1194-2680; Human Research Ethics Committee, Blinded by request of journal: H-2016-0267.

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.

Development of a hybrid sleep and physical activity improvement intervention for adults with osteoarthritis-related pain and sleep disturbance: a focus group study with potential users

Objective:

Suboptimal sleep and physical activity are common among people living with osteoarthritis (OA) and simultaneous improvements in both may have a beneficial impact on pain. This study aimed to gather perspectives of people living with OA on important aspects to incorporate in a hybrid sleep and physical activity improvement intervention for OA pain management.

Design:

Qualitative study using two rounds of two focus groups.

Setting and participants:

Focus groups were conducted with adults living with OA-related chronic pain and sleep disturbances. Eighteen people attended focus groups in January 2020 and, of these, 16 attended subsequent focus groups in February 2020.

Methods:

Discussion at the first round of focus groups informed generation of prototype intervention materials that were shared, discussed and refined at the second round of focus groups. Thematic analysis was used to identify themes and sub-themes from the data.

Results:

Three themes, each with three sub-themes, were identified: facilitators of engagement with the intervention (sub-themes: motivational language, accountability and education); barriers to engagement (sub-themes: suboptimal interaction with healthcare practitioners, recording behaviour as burdensome/disruptive and uncertainty about technique) and characteristics of a physical activity intervention component (sub-themes: tailored, sustainable and supported).

Conclusion:

We have identified important aspects to incorporate into the design and delivery of a hybrid sleep and physical activity improvement intervention for OA pain management. Insights will be incorporated into intervention materials and protocols, with feasibility and acceptability assessed in a future study.

Sleep intervention for children with asthma and their parents (SKIP Study): a novel web-based shared management pilot study

STUDY OBJECTIVES

The objective of this study was to describe the feasibility, acceptability, and preliminary efficacy of a novel Sleep Intervention for Kids and Parents (SKIP). Parent and child primary sleep outcomes were total sleep time, wake after sleep onset (WASO), sleep efficiency (SE), and bedtime range.

METHODS

Children 6-11 years of age with asthma and 1 parent, both with behavioral sleep disturbance, enrolled in this single-group pilot. The 8-week shared management intervention included weekly online educational modules, goal setting, and progress reporting. Feasibility was measured by the number of dyads who were eligible, enrolled, and retained. Acceptability was measured by survey and semistructured interview. Total sleep time, WASO, SE, and bedtime range were measured by actigraphy at baseline, after the intervention, and 12-week follow-up. Mixed-effects regression models were used to determine change in sleep outcomes from baseline.

RESULTS

Thirty-three of 39 eligible dyads enrolled; of 29 dyads that started the intervention, 25 (86%) completed all study visits. SKIP was acceptable for 61% of children and 92% of parents. Compared with baseline, at follow-up, children had significantly improved WASO (-37 minutes; 95% confidence interval [CI], -44.5 to -29.7; P < .001), SE (5.4%; 95% CI, 4.2-6.5; P < .001), and bedtime range (-35.2 minutes; 95% CI, -42.9 to -27.5; P < .001). Parents also had significantly improved WASO (-13.9 minutes; 95% CI, -19.5 to -8.2; P < .001), SE (2.7%; 95% CI, 1.7-.7; P < .001), and bedtime range (-35.3 minutes; 95% CI, -51.0 to -19.7; P < .001).

CONCLUSIONS

SKIP was feasible, acceptable, and we observed improved child and parent sleep outcomes except total sleep time. Following refinements, further testing of SKIP in a controlled clinical trial is warranted. Clinical Trial Registration: Registry: ClinicalTrials.gov; Name: Sleep Intervention for Kids and Parents: A Self-Management Pilot Study; URL: https://www.clinicaltrials.gov/ct2/show/study/NCT03144531; Identifier: NCT03144531.

Implementation of a digital cognitive behavioral therapy for insomnia pathway in primary care

Background Insomnia is a prevalent and debilitating disorder commonly managed by family physicians. Insomnia guidelines recommend cognitive behavioral therapy for insomnia (CBTi) as the 'first-line' treatment. However, family physicians report limited time, knowledge, access, support, and referral options to manage patients with CBTi. Consequently, many patients with insomnia are prescribed potentially harmful and addictive sedative-hypnotic medicines (e.g. benzodiazepines). Family physicians require an insomnia management pathway that is specifically tailored to the guideline-recommendations, time demands, and capacity of family practice. Methods This mixed-methods implementation trial will test the feasibility, acceptability and effectiveness of a comprehensive digital insomnia management pathway in family practice. This novel pathway includes digital recruitment of family physicians, automatic identification of patients whose electronic medical records contain recent sedative-hypnotic prescriptions using a software management pathway and real-time notifications prompting physicians to refer patients to a well-established digital CBTi program. At least 10 family physicians and 375 patients with insomnia will be recruited. Physicians will be provided with an eBook to guide gradual sedative-hypnotic withdrawal. Feasibility and acceptability will be assessed from the perspective of patients and physicians. Effectiveness will be determined by co-primary outcomes: cessation of sedative-hypnotic use, and improvement in self-reported insomnia symptoms from baseline to 12-month follow-up. Analysis of trends in costs, cost-effectiveness and cost-utility analyses will be conducted from a societal perspective. Results and discussion This implementation trial will pave the way for future scaling-up of this insomnia management pathway to improve access to CBTi and reduce reliance on sedative-hypnotic medicines in family practice. Trial Registration: This trial was prospectively registered on the Australian and New Zealand Clinical Trials Registry (ANZCTR) (ACTRN12619001539123).

Sleep in Older Adults and Its Possible Relations With COVID-19

Since the beginning of the COVID-19 pandemic, older adults have been found to be a highly vulnerable group, with a higher prevalence of severe cases and negative outcomes. Research has focused on the reasons why older adults are at greater risk; Sleep-related factors have been suggested as one possible explanation for this. An individual's sleep pattern undergoes significant changes over the course of their life. In older adults a specific sleep profile can be observed, one characterized by advanced sleep timing, a morningness preference, longer sleep-onset latency, shorter overall sleep duration, increased sleep fragmentation, reduced slow-wave sleep and, increased wake time after sleep onset. Additionally, an increased prevalence of sleep disorders can be observed, such as obstructive sleep apnea and insomnia. Previous research has already linked sleep disorders (especially sleep apnea) with COVID-19, but few studies have focused specifically on the older population. We believe that the intrinsic sleep patterns of older adults, and the prevalence of sleep disorders in this population, may be important factors that could explain why they are at a greater risk of negative COVID-19 outcomes. In this review, we discuss the relationship between sleep and COVID-19 among older adults, focusing on three different aspects: (1) Sleep-related issues that might increase the likelihood of getting infected by SARS-COV-2; (2) Sleep disturbances that might increase the predisposition to worse COVID-19 prognosis and outcomes; and (3) COVID-19-related aspects affecting community-dwelling older adults, such as social isolation, quarantine, and home confinement, among others, that might impact sleep.

Sleep Quality in Medical Staffs During the Outbreak of Coronavirus Disease 2019 in China: A Web-Based Cross-Sectional Study

Background: The aim of this study was to describe the sleep quality and its influencing factors among medical workers of different working statuses and staff types during the coronavirus disease 2019 (COVID-19) epidemic. Methods: Through an online questionnaire survey, all medical staffs in Xiangya Hospital were invited to complete sections on general information, the Self-Rating Scale of Sleep (SRSS), the Depression, Anxiety and Stress Scale (DASS-21), the Social Support Rating Scale (SSRS), and the Simplified Coping Style Questionnaire (CSQ). Results: A total of 4,245 respondents completed the survey. Among them, 38.7% had sleep disturbance. After matching, the SRSS scores in the staffs who were assigned to the intensive care unit (ICU) of Union Hospital in Wuhan and working in the epidemic area of Xiangya Hospital were not significantly different (P > 0.05); the SRSS scores in the battlefront staffs were significantly higher than (P < 0.05) those who were not treating patients infected with COVID-19. The SRSS scores of nurses were significantly higher than those of doctors and hospital administrators (P < 0.01). Anxiety, depression, and coping style were associated with sleep disturbance. Conclusion: The sleep quality of the medical staffs has been impaired during the epidemic period, especially among nurses, doctors, and administrators who are working on the front line. Medical institutions should strengthen psychological services and coping strategies for medical staffs.

Effects of an Internet-Based Cognitive Behavioral Therapy for Insomnia Program on Work Productivity: A Secondary Analysis

BACKGROUND

Cognitive-behavioral therapy for insomnia (CBT-I) may improve productivity along with insomnia symptoms, but the long-term duration of productivity gains is unknown.

PURPOSE

In this secondary analysis, effects of Internet-delivered CBT-I on work-related and daily activity productivity were examined through 1 year post-treatment.

METHODS

Adults with chronic insomnia (N = 303) were randomized to Internet-delivered CBT-I (Sleep Healthy Using the Internet [SHUTi]) or to patient education (PE). Participants reported interference with attendance (absenteeism) and productivity (presenteeism) at paid employment and in daily activities outside work on the Work Productivity Activity Impairment scale at baseline, 9 weeks later for postintervention assessment (post-assessment), and 6- and 12-month follow-ups.

RESULTS

Participants randomized to SHUTi were about 50% less likely than those in the PE condition to report any absenteeism (logistic regression odds ratio [OR] = 0.48 [95% confidence intervals {CI} = 0.24,0.96]), total impairment (OR = 0.52 [95% CI = 0.29,0.93]), or activity impairment (OR = 0.50 [95% CI = 0.30,0.85]) at post-assessment; however, differences were not detected at 6- or 12-month follow-ups. SHUTi participants also reported lower overall levels of presenteeism (constrained longitudinal data analysis MDiff = -6.84 [95% CI = -11.53, -2.15]), total impairment (MDiff = -7.62 [95% CI = -12.50, -2.73]), and activity impairment (MDiff = -7.47 [95% CI = -12.68, -2.26]) at post-assessment relative to PE participants. Differences were sustained at 6-month follow-up for presenteeism (MDiff = -5.02 [95% CI = -9.94, -0.10]) and total impairment (MDiff = -5.78 [95% CI = -10.91, -0.65]). No differences were detected by 12-month follow-up.

CONCLUSIONS

Findings suggest that Internet-based CBT-I may help accelerate improvement in work-related and daily activity impairment corroborating prior research, but did not find that CBT-I has persistent, long-term benefits in productivity relative to basic insomnia education.

TRIAL REGISTRATION

NCT00328250 "Effectiveness of Internet Cognitive Behavioral Therapy Intervention for Treating Insomnia" (https://clinicaltrials.gov/ct2/show/NCT00328250).

Banbury Forum Consensus Statement on the Path Forward for Digital Mental Health Treatment

A major obstacle to mental health treatment for many Americans is accessibility: the United States faces a shortage of mental health providers, resulting in federally designated shortage areas. Although digital mental health treatments (DMHTs) are effective interventions for common mental disorders, they have not been widely adopted by the U.S. health care system. National and international expert stakeholders representing health care organizations, insurance companies and payers, employers, patients, researchers, policy makers, health economists, and DMHT companies and the investment community attended two Banbury Forum meetings. The Banbury Forum reviewed the evidence for DMHTs, identified the challenges to successful and sustainable implementation, investigated the factors that contributed to more successful implementation internationally, and developed the following recommendations: guided DMHTs should be offered to all patients experiencing common mental disorders, DMHT products and services should be reimbursable to support integration into the U.S. health care landscape, and an evidence standards framework should be developed to support decision makers in evaluating DMHTs.

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

An investigation and replication of sleep-related cognitions, acceptance and behaviours as predictors of short- and long-term outcome in cognitive behavioural therapy for insomnia

The objectives were to investigate the potential for sleep-related behaviours, acceptance and cognitions to predict outcome (insomnia severity) of cognitive behavioural therapy for insomnia (CBT-I). Baseline and outcome data from four randomised controlled trials (n = 276) were used. Predictors were the Dysfunctional Beliefs and Attitudes about Sleep-10 (DBAS-10), Sleep-Related Behaviours Questionnaire (SRBQ), and Sleep Problems Acceptance Questionnaire (SPAQ), and empirically derived factors from a factor analysis combining all items at baseline (n = 835). Baseline values were used to predict post-treatment outcome, and pre-post changes in the predictors were used to predict follow-up outcomes after 3-6 months, 1 year, or 3-10 years, measured both as insomnia severity and as better or worse long-term sleep patterns. A majority (29 of 52) of predictions of insomnia severity were significant, but when controlling for insomnia severity, only two (DBAS-10 at short-term and SRBQ at mid-term follow-up) of the 12 predictions using established scales, and three of the 40 predictions using empirically derived factors, remained significant. The strongest predictor of a long-term, stable sleep pattern was insomnia severity reduction during treatment. Using all available predictors in an overfitted model, 21.2% of short- and 58.9% of long-term outcomes could be predicted. We conclude that although the explored constructs may have important roles in CBT-I, the present study does not support that the DBAS-10, SRBQ, SPAQ, or factors derived from them, would be unique predictors of outcome.

Trajectories of Insomnia Symptoms and Associations with Mood and Anxiety from Early Pregnancy to the Postpartum

Objective/Background: The current study identified heterogeneous trajectories of insomnia symptoms from early pregnancy to early postpartum. The relationship between demographic and psychological predictors of trajectories and associations between trajectory group membership and symptoms of postpartum depression and anxiety were also explored.Participants: 142 pregnant women were enrolled in a prospective online survey.Method: Women were recruited from a maternity clinic in Calgary, AB and completed measures of insomnia symptoms, depression, generalized anxiety, and interpersonal support at four time-points. Women were recruited and completed the first survey before 20 weeks gestation and were reassessed every 10 weeks. Women were on average 15 weeks gestation, 25 weeks gestation, 35 weeks gestation, and 6 weeks postpartum at the respective time-points. Group-based trajectory analysis was used to determine trajectories of pregnancy insomnia symptoms.Results: Three trajectory groups were identified. A no insomnia group (42.3%) in which women reported consistently low insomnia symptoms. A subclinical insomnia group (44.3%) in which women reported subclinical symptoms which briefly elevated to clinical levels in late-pregnancy, and a clinical insomnia group (13.4%) in which women reported consistently elevated insomnia symptoms. Baseline predictors of membership group included anxiety, depression, and ethnicity such that members of the clinical insomnia group were more likely to also endorse anxiety and depression. Membership in the clinical insomnia group was associated with higher postpartum generalized anxiety and depressive symptoms. Additionally, the clinical insomnia group were more likely to experience symptoms indicative of clinically significant depression.Conclusions: A small group of pregnant women experienced consistently high and elevated insomnia symptoms throughout pregnancy and another larger group endorsed consistently elevated but subthreshold symptoms. Future studies should explore long-term consequences of experiencing high insomnia symptomatology during pregnancy and early postpartum, as well as safe and efficacious interventions.

Primary care provider evaluation and management of insomnia

STUDY OBJECTIVES

To evaluate the type and extent of information collected from patients with insomnia during their first office encounter for insomnia and the prescribing therapies of primary care providers during this initial encounter.

METHODS

This study was a retrospective chart review of randomly selected patients who had a primary care provider office visit at any clinic affiliated with a university medical system between March 1, 2013, and March 1, 2016. Demographic and clinical information was abstracted for analysis.

RESULTS

Our sample (n = 200) was primarily female (63.5%), White (69%), middle-aged (ages 44.6 ± 15.1 years) adults. Most (68.5%) encounter notes did not have significant information related to insomnia risk factors and symptoms (< 50% of the notes). When examining comorbidities, we found that younger patients (<45 years old) were more likely to have anxiety linked to insomnia (P = .025), whereas older patients (≥45) were less likely to have any identified comorbidities associated with insomnia (P = .009). Only 5.0% of patients with insomnia were referred for cognitive-behavioral therapy for insomnia, whereas 51.5% of patients were prescribed sleep medications. The younger cohort was statistically more likely to receive sleep hygiene or cognitive-behavioral therapy for insomnia as a treatment option in comparison to the older cohort (P = .01 and P = .04, respectively).

CONCLUSIONS

Progress notes from primary care providers tend to have a paucity of information on insomnia symptoms and related comorbidities. Medications are often prescribed as the first-line treatment for insomnia. Cognitive-behavioral therapy for insomnia remains underutilized despite robust evidence suggesting that cognitive-behavioral therapy for insomnia is a safe and effective treatment for insomnia.

Low-Intensity Cognitive Behavioral Therapy for Insomnia as the Entry of the Stepped-Care Model in the Community: A Randomized Controlled Trial

Background/Objectives: Diverse low-intensity interventions are available as the entry points in the stepped-care model for insomnia. The study aims to compare a single-session cognitive behavioral therapy for insomnia (CBTI) workshop, self-help CBTI and sleep hygiene education (SHE) workshop among adults with insomnia in the community, in terms of insomnia severity, anxiety and depressive symptoms, the quality of life, treatment adherence and credibility.Participants: Two-hundred-and-ten Hong Kong adults with DSM-5 defined insomnia disorder for at least one month were recruited in the community.Methods: A three-arm-parallel, active-treatment-controlled and assessor-blinded randomized controlled trial was performed. Participants were block-randomized to the half-day CBTI workshop, self-help Internet-delivered CBTI and half-day SHE workshop groups evenly. Eight-week and 16-week post-baseline follow-ups were conducted. The primary outcome measure was the Insomnia Severity Index whereas the secondary measures included the Hospital Anxiety and Depression Scale, the Short-Form Six-Dimension Health Survey, treatment adherence and credibility.Results: All arms demonstrated a significant treatment effect on insomnia severity, anxiety and depressive symptoms and the quality of life. However, there was no difference between arms. Treatment adherence did not vary among the three groups, but treatment credibility of the self-help group dropped whereas that of the CBTI workshop group rose after interventions (p = .037).Conclusions: Despite the lack of between-group differences, self-help CBTI can be considered as the preferred entry point of the stepped-care model for insomnia. It demonstrates comparable efficacy and adherence rate to the workshop-based interventions, and is highly accessible and convenient with few resources required.

Treatment of chronic primary sleep onset insomnia with Kundalini Yoga: a randomized controlled trial with active sleep hygiene comparison

STUDY OBJECTIVES

Prior studies have suggested a benefit of yoga for alleviating sleep disturbance; however, many studies have had methodological limitations. This trial study aimed to extend that literature by including an active sleep hygiene (SH) comparison.

METHODS

Participants aged 25-59 with a primary complaint of sleep onset insomnia lasting at least six months were block randomized to 8-week Kundalini Yoga or SH intervention, both consisting of initial 60-minute instruction and weekly check-ins. Daily sleep diaries and questionnaires were collected at baseline, throughout intervention, and at 6-month follow-up. Data were analyzed using linear mixed models (N=20 in each group).

RESULTS

Participant ratings of the interventions did not significantly differ. SH improved several diary and questionnaire outcomes, however, yoga resulted in even greater improvements corresponding to medium-to-large between-group effect sizes. Total sleep time increased progressively across yoga treatment (d=0.95, p=.002), concurrent with increased sleep efficiency (SE; d=1.36, p<.001) and decreased sleep onset latency (SOL; d=-1.16, p<.001), but without changes in pre-sleep arousal (d=-0.30, p=.59). Remission rates were also higher for yoga compared to SH, with ≥80% of yoga participants reporting average SOL<30 minutes and SE>80% at 6-month follow-up. For over 50% of yoga participants, the insomnia severity index decreased by at least 8 points at end of treatment and follow-up.

CONCLUSIONS

Yoga, taught in a self-care framework with minimal instructor burden, was associated with self-reported improvements above and beyond an active sleep hygiene comparison, sustained at 6-month follow-up. Follow-up studies are needed to assess actigraphy and polysomnography outcomes, as well as possible mechanisms of change.

CLINICAL TRIAL REGISTRATION

Yoga as a Treatment for Insomnia (ClinicalTrials.gov, NCT00033865).

A population health approach to insomnia using internet-based cognitive behavioral therapy for insomnia

STUDY OBJECTIVES

To determine if a population health approach to insomnia using internet-based cognitive behavioral therapy for insomnia (ICBT-I) affects dispensed medications and provider encounters compared to usual care.

METHODS

A pragmatic hybrid study design was used to evaluate both the implementation strategy and the long-term effects of ICBT-I on health care utilization in an integrated health system. Adult members with insomnia (a diagnosis or insomnia medication dispensation) or at high-risk of insomnia (a diagnosis of depression or anxiety) were randomized to receive information on either an ICBT-I program (intervention arm) or in-person classes on insomnia (usual care arm). Outcomes included dispensed insomnia medications and provider encounters over 12 months. The effectiveness of our implementation of ICBT-I on the target population was determined by an intention-to-treat analysis and by regression models comparing those who engaged in ICBT-I to matched usual care arm controls.

RESULTS

136,630 subjects were randomized. 638 (0.96%) accessed the ICBT-I program while 431 (0.66%) attended one or more usual care insomnia classes. Dispensed insomnia medications and provider encounters were no different in the ICBT-I arm vs the usual care arm (intention-to-treat) or among those who engaged in ICBT-I vs matched usual care arm controls.

CONCLUSIONS

Since ICBT-I program engagement was low, additional strategies to improve engagement should be explored. ICBT-I did not result in a reduction in several measures of health care utilization; nevertheless, it offers an alternative and accessible approach to managing population insomnia.

CLINICAL TRIAL REGISTRATION

Registry: ClinicalTrials.gov; Name: Trial of Internet-Based Cognitive Behavioral Therapy for Insomnia in Patients Prescribed Insomnia Medications; Identifier: NCT03313466; URL: https://clinicaltrials.gov/ct2/history/NCT03313466?V_1=View#StudyPageTop.

Does the guided online cognitive behavioral therapy for insomnia "i-Sleep youth" improve sleep of adolescents and young adults with insomnia after childhood cancer? (MICADO-study): study protocol of a randomized controlled trial

BACKGROUND

Adolescents and young adults who had childhood cancer are at increased risk for insomnia, due to being critically ill during an important phase of their life for the development of good sleep habits. Insomnia is disabling and prevalent after childhood cancer (26-29%) and negatively impacts quality of life, fatigue, pain, and general functioning and is often associated with other (mental) health problems. Insomnia and a history of childhood cancer both increase the risk of adverse health outcomes, posing a double burden for adolescents who had childhood cancer. The first-line treatment for insomnia is cognitive behavioral therapy for insomnia (CBT-I). However, access to this type of care is often limited. The guided online CBT-I treatment "i-Sleep" has been developed to facilitate access via online care. i-Sleep is shown effective in adult (breast cancer) patients, but it is unknown if iCBT-I is effective in pediatric oncology.

METHODS/DESIGN

We developed a youth version of i-Sleep. Our aim is to evaluate its effectiveness in a national randomized-controlled clinical trial comparing iCBT-I to a waiting-list control condition at 3 and 6 months (n = 70). The intervention group will be also assessed at 12 months to see whether the post-test effects are maintained. Adolescents and young adults aged 12-30 years with insomnia, diagnosed with (childhood) cancer, currently at least 6 months since their last cancer treatment will be eligible. Outcomes include sleep efficiency (actigraphic), insomnia severity (self-report), sleep and circadian activity rhythm parameters, fatigue, health-related quality of life, perceived cognitive functioning, chronic distress, depressive and anxiety symptoms, and intervention acceptability.

DISCUSSION

Insomnia is prevalent in the pediatric oncology population posing a double health burden for adolescents and young adults who had childhood cancer. If guided iCBT-I is effective, guidelines for insomnia can be installed to treat insomnia and potentially improve quality of life and the health of adolescents and young adults who had childhood cancer.

TRIAL REGISTRATION

NL7220 (NTR7419; Netherlands Trial register). Registered on 2 August 2018.

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.

Telemedicine versus face-to-face delivery of cognitive behavioral therapy for insomnia: a randomized controlled noninferiority trial

STUDY OBJECTIVES

In a randomized controlled noninferiority trial, we compared face-to-face and telemedicine delivery (via the AASM SleepTM platform) of cognitive-behavioral therapy (CBT) for insomnia for improving insomnia/sleep and daytime functioning at posttreatment and 3-month follow-up. A secondary objective compared the modalities on treatment credibility, satisfaction, and therapeutic alliance.

METHODS

A total of 65 adults with chronic insomnia (46 women, 47.2 ± 16.3 years of age) were randomized to 6 sessions of CBT for insomnia delivered individually via AASM SleepTM (n = 33, CBT-TM) or face-to-face (n = 32, CBT-F2F). Participants completed sleep diaries, the Insomnia Severity Index (ISI), and daytime functioning measures at pretreatment, posttreatment, and 3-month follow-up. Treatment credibility, satisfaction, and therapeutic alliance were compared between treatment modalities. The ISI was the primary noninferiority outcome.

RESULTS

Based on a noninferiority margin of four points on the ISI and, after adjusting for confounders, CBT-TM was noninferior to CBT-F2F at posttreatment (β = 0.54, SE = 1.10, 95% CI = 1.64 to 2.72) and follow-up (β = 0.34, SE = 1.10, 95% CI = 1.83 to 2.53). Daytime functioning measures, except the physical composite scale of the SF-12, were significantly improved at posttreatment and follow-up, with no difference between treatment formats. CBT-TM sessions were, on average, nearly 10 min shorter, yet participant ratings of therapeutic alliance were similar to CBT-F2F.

CONCLUSIONS

Telemedicine delivery of CBT for insomnia is not inferior to face-to-face for insomnia severity and yields similar improvements on other sleep and daytime functioning outcomes. Further, telemedicine allows for more efficient treatment delivery while not compromising therapeutic alliance.

CLINICAL TRIAL REGISTRATION NUMBER

NCT03293745.