Digital Cognitive Behavioral Therapy for Insomnia in Women With Chronic Migraines

Efficacy of oral and non-oral migraine prophylactic treatment on self-reported subjective sleep quality in migraine patients with sleep problems: A review and meta-analysis

This study aims to investigate the effects of oral and non-oral migraine prophylaxis on subjective sleep quality in migraine patients with sleep problems. A bidirectional relationship between migraine and sleep is presumed, although this relationship is not fully clarified. Possibly, prophylactic treatment of migraine aiming at a reduction of migraine attack frequency can also positively affect the quality of sleep for patients with migraine with sleep problems. PubMed, Cochrane, Embase and CINAHL databases were searched in March 2022 for studies evaluating prophylactic treatment of migraine and the impact on perceived sleep quality (Pittsburgh Sleep Quality Index or Insomnia Severity Index). A systematic review using the McMaster Tool and a random-effects meta-analysis (effect size Cohen's d) were conducted. Seven studies were identified, including 989 participants, of which 844/989 (85.3%) female, with a mean (SD) age of 41.3 (12.1) years. In 6/7 (85.7%) studies, monthly migraine days improved (p < 0.002). Five out of six (83.3%) studies presented a relevant improvement in quality of sleep (p < 0.05), and one study reported a clinically meaningful improvement in the treatment group (Insomnia Severity Index change >7, in >50% of participants). The meta-analysis showed a large effect size of 1.09 (95% confidence interval 0.57-1.62; overall p < 0.001; Cochran's Q < 0.0001) for migraine prophylaxis on improving sleep quality. In conclusion, prophylactic migraine treatment improves sleep quality in patients with migraine and sleep problems, as measured with self-reported questionnaires Pittsburgh Sleep Quality Index and Insomnia Severity Index. Unfortunately, some included studies used prophylactic treatment that is not in current (international) guidelines. The evidence for this improvement in quality of sleep is strong, and seems a generic effect of migraine prophylaxis.

Current Implementation of Digital Health in Chronic Disease Management: Scoping Review

BACKGROUND

Approximately 1 in 3 adults live with multiple chronic diseases. Digital health is being harnessed to improve continuity of care and management of chronic diseases. However, meaningful uptake of digital health for chronic disease management remains low. It is unclear how these innovations have been implemented and evaluated.

OBJECTIVE

This scoping review aims to identify how digital health innovations for chronic disease management have been implemented and evaluated: what implementation frameworks, methods, and strategies were used; how successful these strategies were; key barriers and enablers to implementation; and lessons learned and recommendations shared by study authors.

METHODS

We used the Joanna Briggs Institute methodology for scoping reviews. Five databases were searched for studies published between January 2015 and March 2023: PubMed, Scopus, CINAHL, PsycINFO, and IEEE Xplore. We included primary studies of any study design with any type of digital health innovations for chronic diseases that benefit patients, caregivers, or health care professionals. We extracted study characteristics; type of digital health innovation; implementation frameworks, strategies, and outcome measures used; barriers and enablers to implementation; lessons learned; and recommendations reported by study authors. We used established taxonomies to synthesize extracted data. Extracted barriers and enablers were grouped into categories for reporting. Descriptive statistics were used to consolidate extracted data.

RESULTS

A total of 252 studies were included, comprising mainly mobile health (107/252, 42.5%), eHealth (61/252, 24.2%), and telehealth (97/252, 38.5%), with some studies involving more than 1 innovation. Only 23 studies (23/252, 9.1%) reported using an implementation science theory, model, or framework; the most common were implementation theories, classic theories, and determinant frameworks, with 7 studies each. Of 252 studies, 144 (57.1%) used 2 to 5 implementation strategies. Frequently used strategies were "obtain and use patient or consumer feedback" (196/252, 77.8%); "audit and provide feedback" (106/252, 42.1%); and piloting before implementation or "stage implementation scale-up" (85/252, 33.7%). Commonly measured implementation outcomes were acceptability, feasibility, and adoption of the digital innovation. Of 252 studies, 247 studies (98%) did not measure service outcomes, while patient health outcomes were measured in 89 studies (35.3%). The main method used to assess outcomes was surveys (173/252, 68.7%), followed by interviews (95/252, 37.7%). Key barriers impacting implementation were data privacy concerns and patient preference for in-person consultations. Key enablers were training for health care workers and personalization of digital health features to patient needs.

CONCLUSIONS

This review generated a summary of how digital health in chronic disease management is currently implemented and evaluated and serves as a useful resource for clinicians, researchers, health system managers, and policy makers planning real-world implementation. Future studies should investigate whether using implementation science frameworks, including how well they are used, would yield better outcomes compared to not using them.

An indirect treatment comparison meta-analysis of digital versus face-to-face cognitive behavior therapy for headache

Cognitive behavioral therapy (CBT) is effective for headache disorders. However, it is unclear whether the emerging digital CBT is noninferior to face-to-face CBT. An indirect treatment comparison (ITC) meta-analysis was conducted to assess the relative effects between them using standard mean differences (SMDs). Effective sample size (ESS) and required sample size (RSS) were calculated to demonstrate the robustness of the results. Our study found that digital CBT had a similar effect on headache frequency reduction (SMD, 0.12; 95%CI, -2.45 to 2.63) compared with face-to-face CBT. The ESS had 84 participants, while the RSS had 466 participants to achieve the same power as a non-inferior head-to-head trial. Digital CBT is as effective as face-to-face CBT in preventing headache disorders. Due to the heterogeneity (I2 = 94.5%, τ2 = 1.83) and the fact that most of the included studies were on migraine prevention, further head-to-head trials are warranted.

Digital clinics for diagnosing and treating migraine

PURPOSE OF REVIEW

Several innovative digital technologies have begun to be applied to diagnosing and treating migraine. We reviewed the potential benefits and opportunities from delivering migraine care through comprehensive digital clinics.

RECENT FINDINGS

There are increasing applications of digitization to migraine diagnosis and management, including e-diaries, and patient self-management, especially after the COVID-19 pandemic. Digital care delivery appears to better engage chronic migraine sufferers who may struggle to present to physical clinics.

SUMMARY

Digital clinics appear to be a promising treatment modality for patients with chronic migraine. They potentially minimize travel time, shorten waiting periods, improve usability, and increase access to neurologists. Additionally, they have the potential to provide care at a much lower cost than traditional physical clinics. However, the current state of evidence mostly draws on case-reports, suggesting a need for future randomized trials comparing digital interventions with standard care pathways.

Implementing a digital solution for patients with migraine-Developing a methodology for comparing digitally delivered treatment with conventional treatment: A study protocol

Migraine is one of the most frequent and expensive neurological disease in the world. Non-pharmacological and digitally administered treatment options have long been used in the treatment of chronic pain and mental illness. Digital solutions increase the patients' possibilities of receiving evidence-based treatment even when conventional treatment options are limited. The main goal of the study is to assess the efficacy of interdisciplinary digital interventions compared to conventional treatment. The maximum number of participants in this multi-centre, open-label, prospective, randomized study is 600, divided into eight treatment groups. The participants will take part in either a conventional or a digital intervention, performing various tests and interdisciplinary tasks. The primary outcome is expected to be a reduction in the number of headache days. We also undertake to measure various other headache-related burdens as a secondary outcome. The sample size, digital interventions not conducted via video calls, the lack of human connection, limited intervention program, and the conducting of studies only in digitally sophisticated countries are all significant limitations. However, we believe that digitally mediated treatment options are at least as effective as traditional treatment options while also allowing for a significantly higher patient throughput. The future of chronic disease treatment is remote monitoring and high-quality digitally mediated interventions.The study is approved by the Ethics Committee of the University of Tartu for Human Research (Permission No. 315T-17, 10.08.2020) and is registered at ClinicalTrials.gov: NTC05458817 (14.07.2022).

[Cognitive behavioral therapy in the treatment of patients with chronic migraine and concomitant chronic insomnia: a prospective, randomized trial]

OBJECTIVE

To evaluate the effectiveness of a multidisciplinary program, including Cognitive behavioral therapy (CBT), in the treatment of patients with chronic migraine (CM) and concomitant chronic insomnia (CI).

MATERIAL AND METHODS

The study included 96 patients with CM and CI, average age 35.7±8.6. All patients underwent clinical interviews and testing using clinical and psychological techniques. Patients were randomized into two groups: group 1 received study treatment (an multudisciplinary program including CBT for pain and insomnia, combined with standard treatment for migraine), group 2 received standard treatment for migraine (preventive and acute pharmacotherapy for migraine, recommendations about lifestyle and sleep hygiene). All patients were assessed for clinical and psychological parameters before treatment and at 3, 6, 12 and 18 months follow-up.

RESULTS

At 3 month follow-up a statistically significant improvement was observed in group 1: a decrease in the frequency of headaches and the use of painkillers, parameters on the Insomnia Severity Index (ITI), the State-Trait Anxiety Inventory (STAI), the Beck Depression Inventory, and the Migraine Disability Assessment (MIDAS) (p<0.05). At 6, 12 and 18 months follow-up the achieved improvements were maintained. At 3 month follow-up, group 2 showed a statistically significant improvement in only 4 parameters: a decrease in the frequency of headaches and painkiller use, and parameters for ITI and MIDAS. These parameters increased to values that were not statistically significantly different from the parameters before treatment in group 2 at 6 month follow-up. At 3 month follow-up in group 165% of patients achieved clinical effect (CE) according to CM (headache frequency decreased by 50% or more), in group 2 - 40%, which was not statistically significantly different (p>0.001); in group 1, 76% of patients achieved CE according to CI (ITI decreased by 8 points or more), which is statistically significantly more than in group 2 with 45% of patients with CE (p<0.001). At 18 month follow-up, in group 1, 81.5% of patients achieved CE according to CM, which is statistically significantly more than in group 2 with 33% of patients with CE (p<0.001); in group 1, 85% of patients achieved CE according to CI, which is statistically significantly more than in group 2, where 38% of patients had CE (p<0.001).

CONCLUSION

High effectiveness of CBT in patients with CM and combined CI was noted.

Disseminating cognitive behavioural therapy (CBT) for insomnia at scale: capitalising on the potential of digital CBT to deliver clinical guideline care

Cognitive behavioural therapy (CBT) is the recommended first-line treatment for insomnia. However, guideline care is very seldom available and most patients receive no treatment, or less effective second-line pharmacotherapy or sleep hygiene, neither of which are evidence-based for chronic insomnia. The primary challenge for CBT has been supply. There are not enough therapists to meet the enormous demand. We must accelerate clinician training, but this approach can never be sufficient, even with abbreviated, efficient therapies. Fortunately, however, the treatment landscape has also changed dramatically. Fully-automated digital CBT (dCBT) has emerged as a safe, effective, and scalable treatment delivery format. dCBT is software only, so it can be disseminated as readily and widely as sleep medication. Moreover, dCBT can be integrated into services. Just as medications can be delivered through health professionals and health systems, approved dCBT programmes can be the same. However, an ecosystem of psychologically-based care should not necessitate a medical prescription model. Our proposed stepped care framework, comprises both population health and clinical health service initiatives, enabling universal access to guideline care for insomnia. The diverse ways in which CBT may be delivered (in-person, face-to-face, using telehealth, group therapy, digitally) can operate congruently and efficiently to optimise treatment for people at all levels of complexity and need. With safe and clinically effective dCBT products now set to become established as treatments, clearly differentiated from wellness apps, there is potential to rapidly transform insomnia services and, for the first time, to deliver clinical guideline care at international scale.

How Can Digital Mental Health Enhance Psychiatry?

The use of digital technologies is constantly growing around the world. The wider-spread adoption of digital technologies and solutions in the daily clinical practice in psychiatry seems to be a question of when, not if. We propose a synthesis of the scientific literature on digital technologies in psychiatry and discuss the main aspects of its possible uses and interests in psychiatry according to three domains of influence that appeared to us: 1) assist and improve current care: digital psychiatry allows for more people to have access to care by simply being more accessible but also by being less stigmatized and more convenient; 2) develop new treatments: digital psychiatry allows for new treatments to be distributed via apps, and practical guidelines can reduce ethical challenges and increase the efficacy of digital tools; and 3) produce scientific and medical knowledge: digital technologies offer larger and more objective data collection, allowing for more detection and prevention of symptoms. Finally, ethical and efficacy issues remain, and some guidelines have been put forth on how to safely use these solutions and prepare for the future.

Neurologic Disorders in Women and Sleep

Sleep disorders in women remain underrecognized and underdiagnosed mainly because of gender bias in researching and characterizing sleep disorders in women. Symptoms of common sleep disorders are frequently missed in the general female population and are expected to be further overlooked because of overlapping symptoms in women with neurologic disorders. Given the bidirectional relationship with sleep and neurologic disorders, it remains critical to be aware of the presentation and impact of sleep disorders in this patient population. This article reviews available data on sleep disorders in women with neurologic disorders and discusses their distinctive features.

A Micro-Longitudinal Study of Naps, Sleep Disturbance, and Headache Severity in Women with Chronic Migraine

OBJECTIVE

To examine the relationship between headaches, naps, and nocturnal sleep in women with chronic migraine (CM) using micro-longitudinal data from diaries and actigraphy.

METHODS

20 women with CM and 20 age and sex-matched healthy controls (HC) completed self-report questionnaires, electronic diaries, and wrist actigraphy over a 4-week period. Between-group comparisons were conducted with naps (frequency and duration) as the primary variable of interest. Within-group analyses were conducted on the CM group using hierarchical linear mixed models to examine the temporal relationships between headache severity, sleep behaviors, and sleep parameters. The primary variables of interest were naps (number and duration) and nocturnal sleep efficiency (diary and actigraphy).

RESULTS

The CM group reported significantly more days with naps (25.85%) compared to the HC group (9.03%) during the study period (p = .0025). Within-group analyses in CM revealed that greater headache severity was associated with longer nap duration (p = .0037) and longer nap duration was associated with lower sleep efficiency measured using diaries (p = .0014) and actigraphy (p < .0001).

CONCLUSIONS

Napping is more frequent in CM than HC and nap duration in CM is associated with headache severity and nocturnal sleep disturbance. These findings provide initial support for the hypothesis that daytime napping is a behavioral coping strategy used in CM that could contribute to insomnia.

Insomnia and Migraine: A Review of Evidence-Based, Biobehavioral Interventions

PURPOSE OF REVIEW

The purpose of this review is to discuss the current evidence for Cognitive Behavioral Therapy for Insomnia (CBT-I) for patients with migraine and comorbid insomnia. In this article, we provide a narrative review of the literature on CBT-I and migraine, highlighting recent advances in research into this topic. Finally, we propose a way for clinicians to integrate CBT-I into clinical practice.

RECENT FINDINGS

Multiple studies support CBT-I as a validated modality for the treatment of insomnia in migraine. CBT-I is used to treat insomnia and should be offered as first line therapy. Clinicians should screen for insomnia in all patients with headache, especially in those with migraine, to best manage this condition through the implementation of specific insomnia treatment.

Digital Therapeutics in Migraine Management: A Novel Treatment Option in the COVID-19 Era

Migraine is a chronic and often lifelong disease that directly affects over one billion people globally. Because access to migraine medical services is limited, only a minority of migraine patients are treated adequately. This situation worsened during the COVID-19 pandemic. Digital therapeutics (DTx) is an emerging therapeutic approach that opens up many new possibilities for remote migraine management. For instance, migraine management tools, online migraine diagnosis, guideline-based treatment options, digitally networked patients, and collecting anonymized information about migraine attacks and course parameters for scientific evaluation. Various applications of DTx in migraine management have been studied in recent years, such as the usefulness of digital migraine self-management tools in diagnosing and tracking migraine attacks, and the efficacy and safety of digital cognitive behavioural therapy. However, the development of DTx is still in its infancy and still faces many obstacles. The primary goal of this study is to review the latest research on DTx in migraine management, identify challenges, and outline future trends.

Lifestyle factors and migraine

Migraine, a common and disabling neurological disorder, is among the top reasons for outpatient visits to general neurologists. In addition to pharmacotherapy, lifestyle interventions are a mainstay of treatment. High-quality daily diary studies and intervention studies indicate intraindividual variations in the associations between lifestyle factors (such as stress, sleep, diet, and physical activity) and migraine attack occurrence. Behaviour change interventions can directly address overlapping lifestyle factors; combination approaches could capitalise on multiple mechanisms. These findings provide useful directions for integration of lifestyle management into routine clinical care and for future research.

Behavioral Management of Episodic Migraine: Maintaining a Healthy Consistent Lifestyle

PURPOSE OF REVIEW

To describe the most recent findings related to lifestyle behaviors and migraine.

RECENT FINDINGS

An individualized conceptualization of how lifestyle factors impact migraine activity has increased our understanding of the role of behavioral interventions for episodic migraine. Healthy diets of several types have been associated with migraine attack reduction, whereas disruptions in diet like skipping meals are associated with migraine attack onset. Both aerobic activity and lower intensity yoga interventions show promise for migraine prevention. Sleep disruption has been associated with migraine day and may have a bi-directional relationship. Both increases and decreases in stress have been associated with migraine activity. Evidence is converging around the principle that highly unusual disruptions in daily routine are particularly associated with migraine attack onset and that a consistent healthy lifestyle is a key feature of effective behavioral migraine prevention strategies.

Computerized migraine diagnostic tools: a systematic review

BACKGROUND

Computerized migraine diagnostic tools have been developed and validated since 1960. We conducted a systematic review to summarize and critically appraise the quality of all published studies involving computerized migraine diagnostic tools.

METHODS

We performed a systematic literature search using PubMed, Web of Science, Scopus, snowballing, and citation searching. Cutoff date for search was 1 June 2021. Published articles in English that evaluated a computerized/automated migraine diagnostic tool were included. The following summarized each study: publication year, digital tool name, development basis, sample size, sensitivity, specificity, reference diagnosis, strength, and limitations. The Quality Assessment of Diagnostic Accuracy Studies (QUADAS) tool was applied to evaluate the quality of included studies in terms of risk of bias and concern of applicability.

RESULTS

A total of 41 studies (median sample size: 288 participants, median age = 43 years; 77% women) were included. Most (60%) tools were developed based on International Classification of Headache Disorders criteria, half were self-administered, and 82% were evaluated using face-to-face interviews as reference diagnosis. Some of the automated algorithms and machine learning programs involved case-based reasoning, deep learning, classifier ensemble, ant-colony, artificial immune, random forest, white and black box combinations, and hybrid fuzzy expert systems. The median diagnostic accuracy was concordance = 89% [interquartile range (IQR) = 76-93%; range = 45-100%], sensitivity = 87% (IQR = 80-95%; range = 14-100%), and specificity = 90% (IQR = 77-96%; range = 65-100%). Lack of random patient sampling was observed in 95% of studies. Case-control designs were avoided in all studies. Most (76%) reference tests exhibited low risk of bias and low concern of applicability. Patient flow and timing showed low risk of bias in 83%.

CONCLUSION

Different computerized and automated migraine diagnostic tools are available with varying accuracies. Random patient sampling, head-to-head comparison among tools, and generalizability to other headache diagnoses may improve their utility.

Chronic migraine treatment: multidisciplinary approach. Case report

We described clinical case of chronic migraine and such comorbid disorders as insomnia and panic disorder. The influence of anxiety, insomnia, painkillers overuse on the chronicity of migraine has been shown. Multidisciplinary program was made for treatment of patient with chronic migraine, insomnia and panic disorder. Multidisciplinary program included education, detoxification therapy, cognitive-behavioral therapy and pharmacotherapy. Patient's mistaken ideas about disorders was changed by using of cognitive-behavioral therapy. Also techniques of cognitive-behavioral therapy were needed for education of patient about effective skills to overcome pain, insomnia and anxiety. The transformation of migraine from chronic to episodic, improved sleep, improved emotional state and functional activity were noted after 3 months of treatment. Follow-up of the patient for 12 months showed long lasting positive effect of treatment for chronic migraine, insomnia and panic disorder.

Current Perspectives on the Impact of Chronic Migraine on Sleep Quality: A Literature Review

OBJECTIVE

Recent studies have shown that sleep problems occur in migraineurs and poor sleep causes chronification, but the mechanisms by which chronic migraine affects sleep quality are still unknown. This review aims to analyze commonly reported sleep disturbances in chronic migraine (CM) and determine the effect of CM on sleep quality.

MATERIALS AND METHODS

We conducted a comprehensive review of all published articles on CM and sleep quality from inception to March 2022 in the literature. Clinical trials, observational studies, and case series (≥20 cases) were included. Two reviewers and a supervisor reviewed the titles and abstracts of all search results with predefined inclusion and exclusion criteria. PubMed search for randomized controlled trials and open studies on CM and sleep quality reported in English between 1983 and 2022 was conducted using the keywords including chronic migraine, sleep, insomnia, sleep quality, polysomnography, and Pittsburgh Sleep Quality Index.

RESULTS

A total of 535 potentially relevant articles were found. A total of 455 articles and reviews, meta-analyses published in any language other than English, with other exclusion criteria, were excluded from the review. In the remaining articles, 36 clinical studies, reviewing sleep quality and its association with migraine, were identified and reviewed. Evidence from this review shows that poor sleep and migraine chronicity are intertwined with other accompanying comorbidities and dysregulation of circadian rhythm that innovative treatments promise to bring relief to both poor sleep as well as migraine.

CONCLUSION

Sleep disorders are common in CM and the association between migraine chronification and sleep quality is bidirectional. Comorbid conditions with accompanying frequent attacks in migraine may impair sleep quality. While the maladaptive pain process worsens sleep, poor sleep quality also negatively affects migraine pain. Sleep disturbance, which is affected by worsening migraine attacks, causes deterioration in the quality of life, loss of workforce, and economic burden.

The Use of Behavioral Modalities for Headache During Pregnancy and Breastfeeding

Purpose of Review

Migraine is primary headache which commonly affects women of childbearing age. Migraine and other primary headache disorders are also common during pregnancy. Understanding which treatments are effective and can be safely given to patients with primary headache during pregnancy and lactation is essential in supporting these patients before, during, and after childbirth. Behavioral modalities have the potential to improve the health of both mother and baby, while empowering patients to make informed decisions in family planning and creating future treatment plans.

Recent Findings

Research shows that behavioral therapies can be powerful tools to treat pain conditions with minimal side effects. Recent literature prioritizes behavioral therapies in preparation for pregnancy, during pregnancy, and during lactation due to the superior safety profile of such therapies. Digital resources for behavioral therapy are another well-received recent direction supported by growing evidence of both efficacy and safety. Popular with patients and headache specialists, digital behavioral therapy has taken various forms during the pandemic, such as telemedicine, online psychology support groups, and smartphone applications that patients can interact with on their own time.

Summary

In summary, the purpose of this review is to equip providers with important information and updates on the use of behavioral modalities for the treatment of primary headache during pregnancy and lactation.

Nightmares in Migraine: A Focused Review

Nightmares usually occur during the sleep phase of rapid eye movement (REM) and are associated with some physical symptoms, including sweating, shortness of breath, and lower limb movements. Emotions of fear, anger, shame, and sadness may also accompany nightmares. These symptoms can occur during dreaming, upon awakening, or later when the dream experience is recollected. Nightmares may sporadically occur for everyone, but nightmare disorders are associated with features of impaired mental and physical health and require professional medical treatment. The occurrence of nightmares with several disorders has been reported in the literature, but in migraines it has only been investigated in a small number of studies. Considering the existing relationship between sleep disorders and migraine, the occurrence of nightmares in migraine can negatively affect this association and elevate the risk of depression and anxiety. This, in turn, further reduces the quality of life of affected individuals. Hence, expanding the knowledge on the link between nightmares and migraine, promoting an acceptable quantity and quality of sleep through pharmacological and nonpharmacological interventions in the management of nightmares in migraine, and further scientific investigation of the biopsychosocial mechanisms underlying the link, will be highly valuable for optimal care. This focused review, therefore, gives a brief overview of the current understanding of nightmares in migraine to highlight the open questions and value of further research. The ultimate goal is to contribute to timely recognition and sufficient action to offer beneficial outcomes for affected patients.

Clinical success of greater occipital nerve blockade in improving sleep quality of chronic migraineurs: a prospective observational study

BACKGROUND

The success of various therapy methods in the treatment of insomnia and poor quality sleep, both of which play an active role in the chronicization process of migraine, has been the subject of investigation. The aim of this research was to evaluate the success, acceptability, and efficacy of greater occipital nerve block (GON-B) therapy in chronic migraine (CM) patients in improving their sleep quality and developing their beliefs about sleep .

METHODS

The study included 40 patients with CM from the general population who agreed to receive blockade therapy. Before the injection treatment, 1-week sleep diaries as well as depression and anxiety symptoms were examined. The Pittsburgh Sleep Quality Index (PSQI), Insomnia Severity Index (ISI), Pre-Sleep Arousal Scale (PSAS), Epworth Sleepiness Scale (ESS), and Dysfunctional Beliefs and Attitudes about Sleep (DBAS) scales were measured and evaluated both before and after the completion of 3 months of treatment.

RESULTS

Thirty-seven patients with CM successfully completed our 12-week treatment period. The anxiety and depression scales of the patients decreased after 3 months (p < 0.001). PSQI and its subgroups ratings significantly improved after treatment (p < 0.001). Similarly, ISI, ESS, PSAS, and DBAS test scores also improved after treatment (p < 0.001).

CONCLUSIONS

This study provides evidence as to the applicability and acceptability of GON-B in CM treatment in terms of increased sleep quality; improved sleep beliefs, attitudes, and behaviors; and arousals and decreased insomnia findings.

Therapeutic Approaches to Insomnia and Fatigue in Patients with Multiple Sclerosis

The prevalence of sleep disorders in individuals with multiple sclerosis (MS) is 3-5 times higher compared to the general population. Insomnia Disorder, defined as difficulty falling asleep, maintaining sleep or waking up too early, can lead to significant fatigue, the most common and disabling symptom of MS. In addition, fatigue and insomnia in patients with MS also can overlap with and exacerbate other psychological and physical symptoms. Cognitive behavioral therapy for insomnia (CBT-I) has been shown as an effective treatment for chronic insomnia and burgeoning research has demonstrated the effectiveness of this treatment for insomnia in individuals with a variety of comorbid medical conditions including MS. The purpose of the current review will explore the literature surrounding the prevalence and impact of sleep disorders and fatigue in MS. Additionally, this review will address practical ways to help individuals with MS manage fatigue as well as how to modify typical standard behavioral treatments for insomnia to take into account special considerations for individuals with MS based on the level of disability and other comorbid issues that impact sleep.