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Wickwire EM. Looking back and looking ahead: advancing understanding of insomnia economics. Sleep 2024; 47:zsae140. [PMID: 38899944 PMCID: PMC11321841 DOI: 10.1093/sleep/zsae140] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2024] [Indexed: 06/21/2024] Open
Affiliation(s)
- Emerson M Wickwire
- Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
- Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
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Fang L, Lyu Z, Ai S, Du S, Zhou W, Zeng S, Luo X, Guo J, Zhao Y, Li S, Hou Y, Lu C, Zhang B. Is cognitive behavioral therapy for insomnia more cost-effective? New-perspective on economic evaluations: a systematic review and meta-analysis. Sleep 2024; 47:zsae122. [PMID: 38795362 DOI: 10.1093/sleep/zsae122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Revised: 04/24/2024] [Indexed: 05/27/2024] Open
Abstract
STUDY OBJECTIVES To investigate the cost-effectiveness of cognitive behavioral therapy for insomnia (CBTI), with an additional focus on digital CBTI (dCBTI) in adults with insomnia. METHODS We searched eight electronic databases for economic evaluations of CBTI: PubMed, Scopus, Web of Science, psycINFO, Cochrane, Library, CINAHL, ProQuest, and National Health Service Economic Evaluation Database. Meta-analyses were performed to investigate the effects and costs between CBTI and control groups (no treatment, other treatments included hygiene education and treatment as usual). Subgroup analyses for dCBTI were conducted. RESULTS Twelve randomized controlled trial studies between 2004 and 2023 were included in our systematic review and meta-analyses. The incremental cost-utility ratios and incremental cost-effectiveness ratios showed that the CBTI and dCBTI groups were more cost-effective than controls, from healthcare perspective and societal perspective, respectively. Compared to controls, CBTI demonstrated significantly better efficacy within 12 months. Healthcare costs were significantly higher in the CBTI groups compared to the controls within 6 months but there was no difference at 12 months. Additionally, dCBTI was associated with significantly lower presenteeism costs compared to controls at 6 months. CONCLUSIONS Our findings suggest that CBTI is more cost-effective than other treatments or no treatment for adults with insomnia. It may bring more economic benefits in the long term, especially in long-lasting efficacy and cost reduction. In addition, dCBTI is one of the cost-effective options for insomnia. PROSPERO REGISTRATION NUMBER CRD42 022 383 440. URL www.crd.york.ac.uk/PROSPERO. NAME FOR PROSPERO REGISTRATION Cost-effectiveness of cognitive behavioral therapy for insomnia (CBTI): a systematic review with meta-analysis.
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Affiliation(s)
- Leqin Fang
- Department of Psychiatry, Sleep Medicine Center, Nanfang Hospital, Southern Medical University, Guangzhou, China
- Key Laboratory of Mental Health of the Ministry of Education, Southern Medical University, Guangzhou, China
| | - Zhihong Lyu
- Department of Psychiatry, Sleep Medicine Center, Nanfang Hospital, Southern Medical University, Guangzhou, China
- Key Laboratory of Mental Health of the Ministry of Education, Southern Medical University, Guangzhou, China
| | - Sizhi Ai
- Center for Sleep and Circadian Medicine, the Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Shixu Du
- Department of Psychiatry, Sleep Medicine Center, Nanfang Hospital, Southern Medical University, Guangzhou, China
- Key Laboratory of Mental Health of the Ministry of Education, Southern Medical University, Guangzhou, China
| | - Wenjing Zhou
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Shufei Zeng
- Department of Psychiatry, Sleep Medicine Center, Nanfang Hospital, Southern Medical University, Guangzhou, China
- Key Laboratory of Mental Health of the Ministry of Education, Southern Medical University, Guangzhou, China
| | - Xue Luo
- Department of Psychiatry, Sleep Medicine Center, Nanfang Hospital, Southern Medical University, Guangzhou, China
- Key Laboratory of Mental Health of the Ministry of Education, Southern Medical University, Guangzhou, China
| | - Junlong Guo
- Department of Psychiatry, Sleep Medicine Center, Nanfang Hospital, Southern Medical University, Guangzhou, China
- Key Laboratory of Mental Health of the Ministry of Education, Southern Medical University, Guangzhou, China
| | - Yuhan Zhao
- Department of Psychiatry, Sleep Medicine Center, Nanfang Hospital, Southern Medical University, Guangzhou, China
- Key Laboratory of Mental Health of the Ministry of Education, Southern Medical University, Guangzhou, China
| | - Shuangyan Li
- Department of Psychiatry, Sleep Medicine Center, Nanfang Hospital, Southern Medical University, Guangzhou, China
- Key Laboratory of Mental Health of the Ministry of Education, Southern Medical University, Guangzhou, China
| | - Yanfei Hou
- School of Nursing, Southern Medical University, Guangzhou, China
| | - Ciyong Lu
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Bin Zhang
- Department of Psychiatry, Sleep Medicine Center, Nanfang Hospital, Southern Medical University, Guangzhou, China
- Key Laboratory of Mental Health of the Ministry of Education, Southern Medical University, Guangzhou, China
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Chan WS, Cheng WY, Lok SHC, Cheah AKM, Lee AKW, Ng ASY, Kowatsch T. Assessing the Short-Term Efficacy of Digital Cognitive Behavioral Therapy for Insomnia With Different Types of Coaching: Randomized Controlled Comparative Trial. JMIR Ment Health 2024; 11:e51716. [PMID: 39110971 PMCID: PMC11339566 DOI: 10.2196/51716] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Revised: 03/07/2024] [Accepted: 05/25/2024] [Indexed: 08/25/2024] Open
Abstract
BACKGROUND Digital cognitive behavioral therapy for insomnia (dCBTi) is an effective intervention for treating insomnia. The findings regarding its efficacy compared to face-to-face cognitive behavioral therapy for insomnia are inconclusive but suggest that dCBTi might be inferior. The lack of human support and low treatment adherence are believed to be barriers to dCBTi achieving its optimal efficacy. However, there has yet to be a direct comparative trial of dCBTi with different types of coaching support. OBJECTIVE This study examines whether adding chatbot-based and human coaching would improve the treatment efficacy of, and adherence to, dCBTi. METHODS Overall, 129 participants (n=98, 76% women; age: mean 34.09, SD 12.05 y) whose scores on the Insomnia Severity Index [ISI] were greater than 9 were recruited. A randomized controlled comparative trial with 5 arms was conducted: dCBTi with chatbot-based coaching and therapist support (dCBTi-therapist), dCBTi with chatbot-based coaching and research assistant support, dCBTi with chatbot-based coaching only, dCBTi without any coaching, and digital sleep hygiene and self-monitoring control. Participants were blinded to the condition assignment and study hypotheses, and the outcomes were self-assessed using questionnaires administered on the web. The outcomes included measures of insomnia (the ISI and the Sleep Condition Indicator), mood disturbances, fatigue, daytime sleepiness, quality of life, dysfunctional beliefs about sleep, and sleep-related safety behaviors administered at baseline, after treatment, and at 4-week follow-up. Treatment adherence was measured by the completion of video sessions and sleep diaries. An intention-to-treat analysis was conducted. RESULTS Significant condition-by-time interaction effects showed that dCBTi recipients, regardless of having any coaching, had greater improvements in insomnia measured by the Sleep Condition Indicator (P=.003; d=0.45) but not the ISI (P=.86; d=-0.28), depressive symptoms (P<.001; d=-0.62), anxiety (P=.01; d=-0.40), fatigue (P=.02; d=-0.35), dysfunctional beliefs about sleep (P<.001; d=-0.53), and safety behaviors related to sleep (P=.001; d=-0.50) than those who received digital sleep hygiene and self-monitoring control. The addition of chatbot-based coaching and human support did not improve treatment efficacy. However, adding human support promoted greater reductions in fatigue (P=.03; d=-0.33) and sleep-related safety behaviors (P=.05; d=-0.30) than dCBTi with chatbot-based coaching only at 4-week follow-up. dCBTi-therapist had the highest video and diary completion rates compared to other conditions (video: 16/25, 60% in dCBTi-therapist vs <3/21, <25% in dCBTi without any coaching), indicating greater treatment adherence. CONCLUSIONS Our findings support the efficacy of dCBTi in treating insomnia, reducing thoughts and behaviors that perpetuate insomnia, reducing mood disturbances and fatigue, and improving quality of life. Adding chatbot-based coaching and human support did not significantly improve the efficacy of dCBTi after treatment. However, adding human support had incremental benefits on reducing fatigue and behaviors that could perpetuate insomnia, and hence may improve long-term efficacy. TRIAL REGISTRATION ClinicalTrials.gov NCT05136638; https://www.clinicaltrials.gov/study/NCT05136638.
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Affiliation(s)
- Wai Sze Chan
- Department of Psychology, The University of Hong Kong, Hong Kong, China (Hong Kong)
| | - Wing Yee Cheng
- Department of Psychology, The University of Hong Kong, Hong Kong, China (Hong Kong)
| | - Samson Hoi Chun Lok
- Department of Psychology, The University of Hong Kong, Hong Kong, China (Hong Kong)
| | - Amanda Kah Mun Cheah
- Department of Psychology, The University of Hong Kong, Hong Kong, China (Hong Kong)
| | - Anna Kai Win Lee
- Department of Psychology, The University of Hong Kong, Hong Kong, China (Hong Kong)
| | - Albe Sin Ying Ng
- Department of Psychology, The University of Hong Kong, Hong Kong, China (Hong Kong)
| | - Tobias Kowatsch
- Institute for Implementation Science in Health Care, University of Zurich, Zurich, Switzerland
- School of Medicine, University of St.Gallen, St. Gallen, Switzerland
- Centre for Digital Health Interventions, Department of Management, Technology, and Economics, Eidgenössische Technische Hochschule Zürich, Zurich, Switzerland
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Winter S, Crocker S, Rolls T, Curtin D, Haratsis J, Szollosi I. Direct to psychology for sleep disorders: Innovating models of care in the hospital and health service. J Health Psychol 2024:13591053241267272. [PMID: 39104087 DOI: 10.1177/13591053241267272] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/07/2024] Open
Abstract
A 'Direct to Psychology Insomnia' pathway was developed for implementation within a multidisciplinary sleep disorders service in a tertiary hospital in Brisbane, Australia. The project was informed by implementation science principles and methodology to re-design the model of care (MoC). A consensus group workshop using the Nominal Group Technique (NGT) with 12 multidisciplinary staff was undertaken to develop the new MoC. The workshop explored inclusion and exclusion criteria for a Direct to Psychology pathway including patient flow and enablers. The team endorsed a MoC that was acceptable to stakeholders and addressed service-level imperatives. The findings highlighted that patient inclusion or exclusion should be overseen by the Sleep Physician team and an Advanced Psychologist with behavioural sleep medicine expertise. Continuum of care for patients referred via primary care providers was considered. Barriers and risks to the MoC changes were identified which informed the refinement of the MoC.
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Affiliation(s)
- Sara Winter
- The Prince Charles Hospital, Australia
- University of Queensland, Australia
| | | | | | | | - Jessica Haratsis
- The Prince Charles Hospital, Australia
- Metro South Addiction and Mental Health Services, Australia
| | - Irene Szollosi
- The Prince Charles Hospital, Australia
- University of Queensland, Australia
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Kyle SD, Bower P, Yu LM, Siriwardena AN, Yang Y, Petrou S, Ogburn E, Begum N, Maurer L, Robinson B, Gardner C, Armstrong S, Pattinson J, Espie CA, Aveyard P. Nurse-delivered sleep restriction therapy to improve insomnia disorder in primary care: the HABIT RCT. Health Technol Assess 2024; 28:1-107. [PMID: 39185919 DOI: 10.3310/rjyt4275] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/27/2024] Open
Abstract
Background Insomnia is a prevalent and distressing sleep disorder. Multicomponent cognitive-behavioural therapy is the recommended first-line treatment, but access remains extremely limited, particularly in primary care where insomnia is managed. One principal component of cognitive-behavioural therapy is a behavioural treatment called sleep restriction therapy, which could potentially be delivered as a brief single-component intervention by generalists in primary care. Objectives The primary objective of the Health-professional Administered Brief Insomnia Therapy trial was to establish whether nurse-delivered sleep restriction therapy in primary care improves insomnia relative to sleep hygiene. Secondary objectives were to establish whether nurse-delivered sleep restriction therapy was cost-effective, and to undertake a process evaluation to understand intervention delivery, fidelity and acceptability. Design Pragmatic, multicentre, individually randomised, parallel-group, superiority trial with embedded process evaluation. Setting National Health Service general practice in three regions of England. Participants Adults aged ≥ 18 years with insomnia disorder were randomised using a validated web-based randomisation programme. Interventions Participants in the intervention group were offered a brief four-session nurse-delivered behavioural treatment involving two in-person sessions and two by phone. Participants were supported to follow a prescribed sleep schedule with the aim of restricting and standardising time in bed. Participants were also provided with a sleep hygiene leaflet. The control group received the same sleep hygiene leaflet by e-mail or post. There was no restriction on usual care. Main outcome measures Outcomes were assessed at 3, 6 and 12 months. Participants were included in the primary analysis if they contributed at least one post-randomisation outcome. The primary end point was self-reported insomnia severity with the Insomnia Severity Index at 6 months. Secondary outcomes were health-related and sleep-related quality of life, depressive symptoms, work productivity and activity impairment, self-reported and actigraphy-defined sleep, and hypnotic medication use. Cost-effectiveness was evaluated using the incremental cost per quality-adjusted life-year. For the process evaluation, semistructured interviews were carried out with participants, nurses and practice managers or general practitioners. Due to the nature of the intervention, both participants and nurses were aware of group allocation. Results We recruited 642 participants (n = 321 for sleep restriction therapy; n = 321 for sleep hygiene) between 29 August 2018 and 23 March 2020. Five hundred and eighty participants (90.3%) provided data at a minimum of one follow-up time point; 257 (80.1%) participants in the sleep restriction therapy arm and 291 (90.7%) participants in the sleep hygiene arm provided primary outcome data at 6 months. The estimated adjusted mean difference on the Insomnia Severity Index was -3.05 (95% confidence interval -3.83 to -2.28; p < 0.001, Cohen's d = -0.74), indicating that participants in the sleep restriction therapy arm [mean (standard deviation) Insomnia Severity Index = 10.9 (5.5)] reported lower insomnia severity compared to sleep hygiene [mean (standard deviation) Insomnia Severity Index = 13.9 (5.2)]. Large treatment effects were also found at 3 (d = -0.95) and 12 months (d = -0.72). Superiority of sleep restriction therapy over sleep hygiene was evident at 3, 6 and 12 months for self-reported sleep, mental health-related quality of life, depressive symptoms, work productivity impairment and sleep-related quality of life. Eight participants in each group experienced serious adverse events but none were judged to be related to the intervention. The incremental cost per quality-adjusted life-year gained was £2075.71, giving a 95.3% probability that the intervention is cost-effective at a cost-effectiveness threshold of £20,000. The process evaluation found that sleep restriction therapy was acceptable to both nurses and patients, and delivered with high fidelity. Limitations While we recruited a clinical sample, 97% were of white ethnic background and 50% had a university degree, which may limit generalisability to the insomnia population in England. Conclusions Brief nurse-delivered sleep restriction therapy in primary care is clinically effective for insomnia disorder, safe, and likely to be cost-effective. Future work Future work should examine the place of sleep restriction therapy in the insomnia treatment pathway, assess generalisability across diverse primary care patients with insomnia, and consider additional methods to enhance patient engagement with treatment. Trial registration This trial is registered as ISRCTN42499563. Funding The award was funded by the National Institute of Health and Care Research (NIHR) Health Technology Assessment programme (NIHR award ref: 16/84/01) and is published in full in Health Technology Assessment; Vol. 28, No. 36. See the NIHR Funding and Awards website for further award information.
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Affiliation(s)
- Simon D Kyle
- Sir Jules Thorn Sleep and Circadian Neuroscience Institute, Nuffield Department of Clinical Neurosciences, Dorothy Crowfoot Hodgkin Building, University of Oxford, Oxford, UK
| | - Peter Bower
- NIHR School for Primary Care Research, Centre for Primary Care and Health Services Research, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK
| | - Ly-Mee Yu
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Radcliffe Observatory Quarter, Oxford, UK
| | | | - Yaling Yang
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Radcliffe Observatory Quarter, Oxford, UK
| | - Stavros Petrou
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Radcliffe Observatory Quarter, Oxford, UK
| | - Emma Ogburn
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Radcliffe Observatory Quarter, Oxford, UK
| | - Nargis Begum
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Radcliffe Observatory Quarter, Oxford, UK
| | - Leonie Maurer
- Sir Jules Thorn Sleep and Circadian Neuroscience Institute, Nuffield Department of Clinical Neurosciences, Dorothy Crowfoot Hodgkin Building, University of Oxford, Oxford, UK
| | - Barbara Robinson
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Radcliffe Observatory Quarter, Oxford, UK
| | - Caroline Gardner
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Radcliffe Observatory Quarter, Oxford, UK
| | | | - Julie Pattinson
- School of Health and Social Care, University of Lincoln, Lincoln, UK
| | - Colin A Espie
- Sir Jules Thorn Sleep and Circadian Neuroscience Institute, Nuffield Department of Clinical Neurosciences, Dorothy Crowfoot Hodgkin Building, University of Oxford, Oxford, UK
| | - Paul Aveyard
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Radcliffe Observatory Quarter, Oxford, UK
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Gabbay FH, Wynn GH, Georg MW, Gildea SM, Kennedy CJ, King AJ, Sampson NA, Ursano RJ, Stein MB, Wagner JR, Kessler RC, Capaldi VF. Toward personalized care for insomnia in the US Army: a machine learning model to predict response to cognitive behavioral therapy for insomnia. J Clin Sleep Med 2024; 20:921-931. [PMID: 38300822 PMCID: PMC11145056 DOI: 10.5664/jcsm.11026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Revised: 01/11/2024] [Accepted: 01/11/2024] [Indexed: 02/03/2024]
Abstract
STUDY OBJECTIVES The standard of care for military personnel with insomnia is cognitive behavioral therapy for insomnia (CBT-I). However, only a minority seeking insomnia treatment receive CBT-I, and little reliable guidance exists to identify those most likely to respond. As a step toward personalized care, we present results of a machine learning (ML) model to predict CBT-I response. METHODS Administrative data were examined for n = 1,449 nondeployed US Army soldiers treated for insomnia with CBT-I who had moderate-severe baseline Insomnia Severity Index (ISI) scores and completed 1 or more follow-up ISIs 6-12 weeks after baseline. An ensemble ML model was developed in a 70% training sample to predict clinically significant ISI improvement (reduction of at least 2 standard deviations on the baseline ISI distribution). Predictors included a wide range of military administrative and baseline clinical variables. Model accuracy was evaluated in the remaining 30% test sample. RESULTS 19.8% of patients had clinically significant ISI improvement. Model area under the receiver operating characteristic curve (standard error) was 0.60 (0.03). The 20% of test-sample patients with the highest probabilities of improvement were twice as likely to have clinically significant improvement compared with the remaining 80% (36.5% vs 15.7%; χ21 = 9.2, P = .002). Nearly 85% of prediction accuracy was due to 10 variables, the most important of which were baseline insomnia severity and baseline suicidal ideation. CONCLUSIONS Pending replication, the model could be used as part of a patient-centered decision-making process for insomnia treatment. Parallel models will be needed for alternative treatments before such a system is of optimal value. CITATION Gabbay FH, Wynn GH, Georg MW, et al. Toward personalized care for insomnia in the US Army: a machine learning model to predict response to cognitive behavioral therapy for insomnia. J Clin Sleep Med. 2024;20(6):921-931.
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Affiliation(s)
- Frances H. Gabbay
- Department of Psychiatry, Uniformed Services University, Bethesda, Maryland
- Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, Maryland
| | - Gary H. Wynn
- Department of Psychiatry, Uniformed Services University, Bethesda, Maryland
| | - Matthew W. Georg
- Department of Psychiatry, Uniformed Services University, Bethesda, Maryland
- Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, Maryland
| | - Sarah M. Gildea
- Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts
| | - Chris J. Kennedy
- Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts
| | - Andrew J. King
- Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts
| | - Nancy A. Sampson
- Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts
| | - Robert J. Ursano
- Department of Psychiatry, Uniformed Services University, Bethesda, Maryland
| | - Murray B. Stein
- Department of Psychiatry, University of California San Diego, La Jolla, California
- Psychiatric Service, VA San Diego Healthcare System, San Diego, California
| | - James R. Wagner
- Institute for Social Research, University of Michigan, Ann Arbor, Michigan
| | - Ronald C. Kessler
- Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts
| | - Vincent F. Capaldi
- Department of Psychiatry, Uniformed Services University, Bethesda, Maryland
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Kaambwa B, Woods TJ, Natsky A, Bulamu N, Mpundu-Kaambwa C, Loffler KA, Sweetman A, Catcheside PG, Reynolds AC, Adams R, Eckert DJ. Content Comparison of Quality-of-Life Instruments Used in Economic Evaluations of Sleep Disorder Interventions: A Systematic Review. PHARMACOECONOMICS 2024; 42:507-526. [PMID: 38340220 PMCID: PMC11039546 DOI: 10.1007/s40273-023-01349-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 12/19/2023] [Indexed: 02/12/2024]
Abstract
BACKGROUND Assessment of quality of life (QoL) in people living with sleep disorders using questionnaires is necessary to compare intervention benefits. Knowledge of the content and concepts covered by specific QoL instruments is essential to determine which instruments are best suited for conducting economic evaluations of sleep-related interventions. OBJECTIVES This review aims to identify the QoL instruments that have been applied in economic evaluations of sleep disorder interventions and compare their conceptual overlap and content coverage using the framework of the International Classification of Functioning, Disability and Health (ICF). METHODS A systematic review of full economic evaluations in sleep published in peer-reviewed journals from conception to 30 May, 2023 was conducted. MEDLINE, PsychInfo, ProQuest, Cochrane, Scopus, CINAHL, Web of Science and Emcare were searched for eligible studies. Studies incorporating either generic or sleep-specific QoL instruments as the primary or secondary measures of effectiveness within a full economic evaluation were included. Quality appraisal against the JBI Critical Appraisal Checklist for Economic Evaluations and EURONHEED checklists and mapping of QoL items to ICF categories were performed by two reviewers, with a third helping settle any potential differences. RESULTS Sixteen instruments were identified as having been used in sleep health economic evaluations. The EQ-5D-3L, Epworth Sleepiness Scale, and Insomnia Severity Index were the most widely used, but the latter two are predominantly diagnostic tools and not specifically designed to guide economic evaluations. Other instruments with broader ICF content coverage have been least used, and these include the Sleep Apnea Quality of Life Index, Functional Outcomes of Sleep Questionnaire, 15 Dimensions, Short-Form 6 Dimensions, 12-item Short Form Survey, 36-item Short Form Survey and the GRID Hamilton Rating Scale for Depression. CONCLUSIONS This study provides an overview of current QoL instruments used in economic evaluations of sleep with respect to their content coverage. A combination of generic and sleep-specific instruments with broader ICF content coverage is recommended for such evaluations.
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Affiliation(s)
- Billingsley Kaambwa
- Health Economics Unit, College of Medicine and Public Health, Flinders University, Health Sciences Building, Sturt Road, Bedford Park, SA, 5042, Australia.
| | - Taylor-Jade Woods
- Health Economics Unit, College of Medicine and Public Health, Flinders University, Health Sciences Building, Sturt Road, Bedford Park, SA, 5042, Australia
| | - Andrea Natsky
- Flinders Health and Medical Research Institute, College of Medicine and Public Health, Flinders University, Adelaide, SA, Australia
| | - Norma Bulamu
- Flinders Health and Medical Research Institute, College of Medicine and Public Health, Flinders University, Adelaide, SA, Australia
| | - Christine Mpundu-Kaambwa
- Health and Social Care Economics Group, Caring Futures Institute, Flinders University, Adelaide, SA, Australia
| | - Kelly A Loffler
- Health Data and Clinical Trials, Flinders Health and Medical Research Institute, Flinders University, Adelaide, SA, Australia
| | - Alexander Sweetman
- Flinders Health and Medical Research Institute (Sleep Health)/formerly Adelaide Institute for Sleep Health, Flinders University, Adelaide, SA, Australia
| | - Peter G Catcheside
- Flinders Health and Medical Research Institute (Sleep Health)/formerly Adelaide Institute for Sleep Health, Flinders University, Adelaide, SA, Australia
| | - Amy C Reynolds
- Flinders Health and Medical Research Institute (Sleep Health)/formerly Adelaide Institute for Sleep Health, Flinders University, Adelaide, SA, Australia
| | - Robert Adams
- Flinders Health and Medical Research Institute (Sleep Health)/formerly Adelaide Institute for Sleep Health, Flinders University, Adelaide, SA, Australia
| | - Danny J Eckert
- Flinders Health and Medical Research Institute (Sleep Health)/formerly Adelaide Institute for Sleep Health, Flinders University, Adelaide, SA, Australia
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Hollenbeak CS, Jeon S, O’Connell M, Conley S, Yaggi H, Redeker NS. Costs and Resource Utilization of People with Stable Heart Failure and Insomnia: Evidence from a Randomized Trial of Cognitive Behavioral Therapy for Insomnia. Behav Sleep Med 2024; 22:263-274. [PMID: 37530117 PMCID: PMC10834836 DOI: 10.1080/15402002.2023.2241589] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/03/2023]
Abstract
OBJECTIVES Nearly half of patients with chronic heart failure (HF) report insomnia symptoms. The purpose of this study was to examine the impact of CBT-I versus HF self-management on healthcare costs and resource utilization among patients with stable chronic HF who participated in a clinical trial of the effects of CBT-I compared to HF self-management education (attention control) over 1 year. METHODS We measured resource utilization as self-reported (medical record review) physician office visits, emergency department visits, and inpatient admissions at 3-month intervals for 1 year after enrollment. Costs were estimated by applying price weights to visits and adding self-reported out-of-pocket and indirect costs. Univariate comparisons were made of resource utilization and costs between CBT-I and the HF self-management group. A generalized linear model (GLM) was used to model costs, controlling for covariates. RESULTS The sample included 150 patients [79 CBT-I; 71 self-management (M age = 62 + 13 years)]. The CBT-I group had 4.2 inpatient hospitalizations vs 4.6 for the self-management group (p = .40). There were 13.1 outpatient visits, in the CBT-I compared with 15.4 outpatient visits (p-value range 0.39-0.81) for the self-management group. Total costs were not significantly different in univariate or ($7,813 CBT-I vs. $7,538 self-management), p = .96) or multivariable analyses. CONCLUSIONS Among patients with both HF and insomnia, CBT-I and HF self-management were associated with similar resource utilization and total costs. Additional research is needed to estimate the value of CBT-I relative to usual care and other treatments for insomnia in patients with HF.
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Affiliation(s)
- Christopher S. Hollenbeak
- Department of Health Policy and Administration, College of Health and Human Development, The Pennsylvania State University, University Park, PA
| | | | | | | | - Henry Yaggi
- Department of Internal Medicine, School of Medicine, Yale University, New Haven, CT
| | - Nancy S. Redeker
- School of Nursing, Yale University, West Haven, CT
- School of Nursing, University of Connecticut, Storrs, CT
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Sweetman A, Farrell S, Wallace DM, Crawford M. The effect of cognitive behavioural therapy for insomnia in people with comorbid insomnia and sleep apnoea: A systematic review and meta-analysis. J Sleep Res 2023; 32:e13847. [PMID: 36872072 DOI: 10.1111/jsr.13847] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Accepted: 01/19/2023] [Indexed: 03/07/2023]
Abstract
Comorbid insomnia and sleep apnoea (COMISA) is a highly prevalent and debilitating sleep disorder. Cognitive behavioural therapy for insomnia (CBTi) may be an appropriate treatment for COMISA; however, no previous study has systematically reviewed and meta-analysed literature reporting on the effect of CBTi in people with COMISA. A systematic literature search was conducted across PsychINFO and PubMed (n = 295). In all, 27 full-text records were independently reviewed by at least two authors. Forward- and backward-chain referencing, and hand-searches were used to identify additional studies. Authors of potentially eligible studies were contacted to provide COMISA subgroup data. In total, 21 studies, including 14 independent samples of 1040 participants with COMISA were included. Downs and Black quality assessments were performed. A meta-analysis including nine primary studies measuring the Insomnia Severity Index indicated that CBTi is associated with a large improvement in insomnia severity (Hedges' g = -0.89, 95% confidence interval [CI] -1.35, -0.43). Subgroup meta-analyses indicated that CBTi is effective in samples with untreated obstructive sleep apnoea (OSA) (five studies, Hedges' g = -1.19, 95% CI -1.77, -0.61) and treated OSA (four studies, Hedges' g = -0.55, 95% CI -0.75, -0.35). Publication bias was evaluated by examining the Funnel plot (Egger's regression p = 0.78). Implementation programmes are required to embed COMISA management pathways in sleep clinics worldwide that currently specialise in the management of OSA alone. Future research should investigate and refine CBTi interventions in people with COMISA, including identifying the most effective CBTi components, adaptations, and developing personalised management approaches for this highly prevalent and debilitating condition.
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Affiliation(s)
- Alexander Sweetman
- Adelaide Institute for Sleep Health, Flinders University, Adelaide, South Australia, Australia
| | - Seamas Farrell
- School of Psychological Sciences and Health, University of Strathclyde, Glasgow, UK
| | - Douglas M Wallace
- Department of Neurology, Sleep Medicine Division, University of Miami Miller School of Medicine, Miami, Florida, USA
- Neurology Service, Bruce W. Carter Department of Veterans Affairs Medical Center, Miami, Florida, USA
| | - Megan Crawford
- School of Psychological Sciences and Health, University of Strathclyde, Glasgow, UK
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10
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Baglioni C, Espie CA, Altena E, Gavriloff D, Jernelöv S, Holzinger B, Schlarb A, Riemann D. Cognitive behavioural therapy for insomnia disorder: Extending the stepped care model. J Sleep Res 2023; 32:e14016. [PMID: 37584390 DOI: 10.1111/jsr.14016] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Accepted: 08/03/2023] [Indexed: 08/17/2023]
Abstract
Despite cognitive behaviour therapy for insomnia (CBT-I) being the first-line intervention for the disorder, it is often not readily available to patients in need. The stepped care model (SCM) represents an approach to facilitating efficient and wide-ranging provision of evidence-based care to those with insomnia. The SCM reflects a pyramid of therapeutics based on CBT-I gradually increasing in clinical intensity and addressing clinical complexity. By applying CBT-I through the SCM it is hoped that the treatment gap can be bridged such that not only more patients can be reached, but that clinical resource can be more effectively distributed, with patients receiving more tailored care as needed. Nevertheless, this should not be done at the risk of a lower quality of care being offered, and high-standard training for clinicians and scrutiny of non-clinician led interventions remains important. As national health laws within European countries have substantial differences, the application of the SCM as it relates to the treatment of insomnia may be challenged by contrasting interpretations. In order that the SCM is appropriately implemented: (a) only evidence-based CBT-I treatments should be promoted within the model; (b) clinicians involved in SCM should be suitably qualified to offer CBT in general, and have appropriate further training in CBT-I; (c) professionals involved in interventions not included in the SCM, but related to it, such as preventive and educational programmes, diagnostic procedures, and pharmacological treatments, should also have good knowledge of the SCM in order to promote correct allocation to the appropriate interventional step.
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Affiliation(s)
- Chiara Baglioni
- Department of Psychiatry and Psychotherapy, Medical Center, University of Freiburg, Faculty of Medicine, Freiburg, Germany
- Department of Human Sciences, Guglielmo Marconi University, Rome, Italy
| | - Colin A Espie
- Sir Jules Thorne Sleep and Circadian Neuroscience Institute, University of Oxford, Oxford, UK
| | | | - Dimitri Gavriloff
- Sir Jules Thorne Sleep and Circadian Neuroscience Institute, University of Oxford, Oxford, UK
| | - Susanna Jernelöv
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | | | - Angelika Schlarb
- Department of Psychology and Sports Science, University of Bielefeld, Bielefeld, Germany
| | - Dieter Riemann
- Department of Psychiatry and Psychotherapy, Medical Center, University of Freiburg, Faculty of Medicine, Freiburg, Germany
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11
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Anderson AR, Holliday D. Mapping the associations of daily pain, sleep, and psychological distress in a U.S. sample. J Behav Med 2023; 46:973-985. [PMID: 37382795 DOI: 10.1007/s10865-023-00432-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Accepted: 06/19/2023] [Indexed: 06/30/2023]
Abstract
Chronic pain, sleep problems, and psychological distress (PD) can be disabling conditions and previous research has shown that they are associated. The nuances of the comorbid nature of these conditions may be important to understand for those who treat these conditions. This study examined the bidirectional associations of these health factors concurrently and over time in a sample of U.S. adults (N = 1,008, Mage = 57.68) from the Midlife in the United States (MIDUS) study. Participants reported on their daily pain, sleep quantity, and psychological distress over eight days. A modified Random Intercept Cross-lagged Panel Model was used to analyze the relations, starting with the whole sample and then a comparison of those with and without chronic pain. Results indicated that nightly variation in sleep quantity predicted next day psychological distress for both groups. Sleep quantity also predicted next-day pain, but only for individuals with chronic pain. Associations between pain and psychological distress were found both at the daily level and individual (between-person) level. This between-person association was stronger for those with chronic pain. The lagged associations between sleep, and both pain and psychological distress for the chronic pain group indicate that, increased quantity of sleep predicts decreased next-day pain and psychological distress. Providers could consider this unidirectional lagged relationship when prioritizing treatment for patients with these comorbid conditions. Future research may examine whether responsive, just-in-time treatments might intervene after participants wake from a poor night's sleep to counteract the negative effects of reduced sleep on PD and pain.
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Affiliation(s)
- Austen R Anderson
- School of Psychology, University of Southern Mississippi, 118 College Dr. #5025, Hattiesburg, MS, 39406, USA.
| | - Danielle Holliday
- School of Psychology, University of Southern Mississippi, 118 College Dr. #5025, Hattiesburg, MS, 39406, USA
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12
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Nielson SA, Perez E, Soto P, Boyle JT, Dzierzewski JM. Challenging beliefs for quality sleep: A systematic review of maladaptive sleep beliefs and treatment outcomes following cognitive behavioral therapy for insomnia. Sleep Med Rev 2023; 72:101856. [PMID: 37862834 DOI: 10.1016/j.smrv.2023.101856] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Revised: 09/07/2023] [Accepted: 09/20/2023] [Indexed: 10/22/2023]
Abstract
Cognitive behavioral therapy for insomnia (CBT-I) is an empirically supported intervention for insomnia. Given the strong, consistent support of its efficacy, scholars have become increasingly interested in the behavioral and cognitive mechanisms targeted during CBT-I. The purpose of the systematic review was to synthesize findings from the literature regarding the associations among maladaptive sleep beliefs, a cognitive mechanism implicated in maintaining insomnia, and treatment outcomes following CBT-I. The systematic review was completed using Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Seventeen studies were included in the final sample of reviewed articles and a study quality assessment was performed for all studies included in the review. The results suggested that reductions in maladaptive sleep beliefs were associated with improved insomnia severity; however, reductions in maladaptive beliefs were not associated with changes in sleep efficiency or other sleep parameters. Moreover, in some cases, improved sleep parameters preceded reductions in maladaptive beliefs. Maladaptive sleep beliefs may be an important target for improving insomnia. Targeting maladaptive sleep beliefs may initiate a trickle-down process that limits the influence of other cognitive and behavioral processes maintaining insomnia. Additional investigation is needed to evaluate the directional relationship between improved insomnia symptoms and reduced maladaptive beliefs.
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Affiliation(s)
- Spencer A Nielson
- Virginia Commonwealth University, Department of Psychology, Richmond, VA, USA
| | - Elliottnell Perez
- Virginia Commonwealth University, Department of Psychology, Richmond, VA, USA
| | - Pablo Soto
- Virginia Commonwealth University, Department of Psychology, Richmond, VA, USA
| | - Julia T Boyle
- New England Geriatric Research Education and Clinical Center, VA Boston Healthcare System, Boston, MA, USA; Department of Psychiatry, Harvard Medical School, Boston, MA, USA
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13
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Sweetman A, Osman A, Lack L, Crawford M, Wallace D. Co-morbid insomnia and sleep apnea (COMISA): recent research and future directions. Curr Opin Pulm Med 2023; 29:567-573. [PMID: 37642477 DOI: 10.1097/mcp.0000000000001007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/31/2023]
Abstract
PURPOSE OF REVIEW Insomnia and obstructive sleep apnea have previously been viewed as completely independent conditions. However, there is now increasing recognition that insomnia and sleep apnea frequently co-occur. Co-morbid insomnia and sleep apnea (COMISA) is a highly prevalent condition that is associated with impairment of sleep, daytime function, mental health and physical health outcomes, and mortality risk. This review aims to provide an update on COMISA prevalence, consequences, treatment approaches, and future research directions. RECENT FINDINGS People with COMISA experience worse sleep, mental health, physical health, quality of life and longevity compared to people with neither condition, and often compared to those with insomnia alone and sleep apnea alone. Emerging evidence suggests that cognitive behavioral therapy for insomnia is an effective treatment in the presence of treated and untreated sleep apnea, that may also improve manifestations and subsequent management of sleep apnea. Future research is required to understand the etiology of COMISA, and to develop and implement tailored treatment approaches. SUMMARY It is important for sleep and respiratory technicians, researchers and clinicians to be aware of the high co-morbidity rates, consequences, and treatment requirements of patients with co-morbid insomnia and sleep apnea.
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Affiliation(s)
- Alexander Sweetman
- Adelaide Institute for Sleep Health, and FHRMI sleep health, Flinders University, South Australia, Australia
| | - Amal Osman
- Adelaide Institute for Sleep Health, and FHRMI sleep health, Flinders University, South Australia, Australia
| | - Leon Lack
- Adelaide Institute for Sleep Health, and FHRMI sleep health, Flinders University, South Australia, Australia
| | - Megan Crawford
- School of Psychological Sciences and Health, University of Strathclyde, Glasgow, UK
| | - Douglas Wallace
- Department of Neurology, Sleep Medicine Division, University of Miami Miller School of Medicine
- Neurology Service, Bruce W. Carter Department of Veterans Affairs Medical Center, Miami, Florida, USA
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14
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Diggens J, Bullen D, Maccora J, Wiley JF, Ellen S, Goldin J, Jefford M, Hickey M, Ftanou M. Feasibility and efficacy of 'Can-Sleep': effects of a stepped-care approach to cognitive-behavioral therapy for insomnia in cancer. J Cancer Surviv 2023:10.1007/s11764-023-01457-3. [PMID: 37751126 DOI: 10.1007/s11764-023-01457-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Accepted: 08/23/2023] [Indexed: 09/27/2023]
Abstract
PURPOSE This study aimed to evaluate the feasibility and clinical efficacy of the Can-Sleep stepped-care intervention for people with cancer-related sleep disturbance. METHODS A total of 147 individuals with cancer were screened. Participants who reported sleep disturbances and were at low-moderate risk for intrinsic sleep abnormalities were given self-managed cognitive behavioral therapy for insomnia (SMCBT-I). Those reporting sleep disturbance and scoring at high risk of intrinsic sleep abnormalities (i.e., restless leg syndrome and obstructive sleep apnoea) were referred to a specialist sleep clinic. In both groups, participants received a stepped-up group CBT-I intervention (GCBT-I) if they continued to report sleep disturbance following SMCBT-I or the specialist sleep clinic. RESULTS Overall, 87 participants reported sleep disturbance or screened at risk for intrinsic sleep abnormality. Thirty-four were referred to a specialist sleep clinic, and of the 17 who declined this referral, 14 were rereferred to SMCBT-I. In total, 62 participants were referred to SMCBT-I, and 56 commenced SMCBT-I. At post-intervention, the SMCBT-I group showed a significant decline in insomnia symptoms (p < .001, d = 1.01). Five participants who reported sleep disturbance after SMCBT-I and/or the specialist sleep clinic, accepted GCBT-I. Those who received the GCBT-I showed a significant reduction in insomnia symptoms (p < .01, d = 3.13). CONCLUSIONS This study demonstrates the feasibility and efficacy of a stepped-care intervention for sleep disturbances in people with cancer. IMPLICATIONS FOR CANCER SURVIVORS A stepped-care intervention for sleep disturbance is a feasible and potentially effective method of addressing a significant and unmet patient need.
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Affiliation(s)
- Justine Diggens
- Peter MacCallum Cancer Centre, 3000, Melbourne, VIC, Australia
| | - Dani Bullen
- Peter MacCallum Cancer Centre, 3000, Melbourne, VIC, Australia
| | - Jordan Maccora
- School of Psychological Sciences and Turner Institute for Brain and Mental Health, Monash University, Melbourne, Australia
| | - Joshua F Wiley
- Peter MacCallum Cancer Centre, 3000, Melbourne, VIC, Australia
- School of Psychological Sciences and Turner Institute for Brain and Mental Health, Monash University, Melbourne, Australia
| | - Steve Ellen
- Peter MacCallum Cancer Centre, 3000, Melbourne, VIC, Australia
| | - Jeremy Goldin
- Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia
| | - Michael Jefford
- Department of Health Services Research, Peter MacCallum Cancer Centre, Melbourne, Australia
- Australian Cancer Survivorship Centre, Peter MacCallum Cancer Centre, Melbourne, Australia
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Australia
| | - Martha Hickey
- Department of Obstetrics and Gynaecology, University of Melbourne and the Royal Women's Hospital, Melbourne, VIC, Australia
| | - Maria Ftanou
- Peter MacCallum Cancer Centre, 3000, Melbourne, VIC, Australia.
- Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia.
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15
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Gabbay FH, Wynn GH, Georg MW, Gildea SM, Kennedy CJ, King AJ, Sampson NA, Ursano RJ, Stein MB, Wagner JR, Kessler RC, Capaldi VF. Toward personalized care for insomnia in the US Army: development of a machine-learning model to predict response to pharmacotherapy. J Clin Sleep Med 2023; 19:1399-1410. [PMID: 37078194 PMCID: PMC10394363 DOI: 10.5664/jcsm.10574] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Revised: 03/14/2023] [Accepted: 03/15/2023] [Indexed: 04/21/2023]
Abstract
STUDY OBJECTIVES Although many military personnel with insomnia are treated with prescription medication, little reliable guidance exists to identify patients most likely to respond. As a first step toward personalized care for insomnia, we present results of a machine-learning model to predict response to insomnia medication. METHODS The sample comprised n = 4,738 nondeployed US Army soldiers treated with insomnia medication and followed 6-12 weeks after initiating treatment. All patients had moderate-severe baseline scores on the Insomnia Severity Index (ISI) and completed 1 or more follow-up ISIs 6-12 weeks after baseline. An ensemble machine-learning model was developed in a 70% training sample to predict clinically significant ISI improvement, defined as reduction of at least 2 standard deviations on the baseline ISI distribution. Predictors included a wide range of military administrative and baseline clinical variables. Model accuracy was evaluated in the remaining 30% test sample. RESULTS 21.3% of patients had clinically significant ISI improvement. Model test sample area under the receiver operating characteristic curve (standard error) was 0.63 (0.02). Among the 30% of patients with the highest predicted probabilities of improvement, 32.5.% had clinically significant symptom improvement vs 16.6% in the 70% sample predicted to be least likely to improve (χ21 = 37.1, P < .001). More than 75% of prediction accuracy was due to 10 variables, the most important of which was baseline insomnia severity. CONCLUSIONS Pending replication, the model could be used as part of a patient-centered decision-making process for insomnia treatment, but parallel models will be needed for alternative treatments before such a system is of optimal value. CITATION Gabbay FH, Wynn GH, Georg MW, et al. Toward personalized care for insomnia in the US Army: development of a machine-learning model to predict response to pharmacotherapy. J Clin Sleep Med. 2023;19(8):1399-1410.
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Affiliation(s)
- Frances H. Gabbay
- Department of Psychiatry, Uniformed Services University, Bethesda, Maryland
- Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, Maryland
| | - Gary H. Wynn
- Department of Psychiatry, Uniformed Services University, Bethesda, Maryland
| | - Matthew W. Georg
- Department of Psychiatry, Uniformed Services University, Bethesda, Maryland
- Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, Maryland
| | - Sarah M. Gildea
- Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts
| | - Chris J. Kennedy
- Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts
| | - Andrew J. King
- Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts
| | - Nancy A. Sampson
- Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts
| | - Robert J. Ursano
- Department of Psychiatry, Uniformed Services University, Bethesda, Maryland
| | - Murray B. Stein
- Department of Psychiatry, University of California San Diego, La Jolla, California
- Psychiatric Service, VA San Diego Healthcare System, San Diego, California
| | - James R. Wagner
- Institute for Social Research, University of Michigan, Ann Arbor, Michigan
| | - Ronald C. Kessler
- Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts
| | - Vincent F. Capaldi
- Department of Psychiatry, Uniformed Services University, Bethesda, Maryland
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16
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Tully IA, Kim JP, Simpson N, Palaniappan L, Tutek J, Gumport NB, Dietch JR, Manber R. Beliefs about prescription sleep medications and interest in reducing hypnotic use: an examination of middle-aged and older adults with insomnia disorder. J Clin Sleep Med 2023; 19:1247-1257. [PMID: 36883379 PMCID: PMC10315611 DOI: 10.5664/jcsm.10552] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Revised: 03/01/2023] [Accepted: 03/01/2023] [Indexed: 03/09/2023]
Abstract
STUDY OBJECTIVES To examine beliefs about prescription sleep medications (hypnotics) among individuals with insomnia disorder seeking cognitive behavioral therapy for insomnia and predictors of wishing to reduce use. METHODS Baseline data was collected from 245 adults 50 years and older enrolled in the "RCT of the Effectiveness of Stepped-Care Sleep Therapy in General Practice" study. T-tests compared characteristics of prescription sleep medication users with those of nonusers. Linear regression assessed predictors of patients' beliefs about sleep medication necessity and hypnotic-related concerns. Among users, we examined predictors of wishing to reduce sleep medications, including perceived hypnotic dependence, beliefs about medications, and demographic characteristics. RESULTS Users endorsed stronger beliefs about the necessity of sleep medications and less concern about potential harms than nonusers (P < .01). Stronger dysfunctional sleep-related cognitions predicted greater beliefs about necessity and concern about use (P < .01). Patients wishing to reduce sleep medications reported greater perceived hypnotic dependence than those disinterested in reduction (P < .001). Self-reported dependence severity was the strongest predictor of wishing to reduce use (P = .002). CONCLUSIONS Despite expressing strong beliefs about necessity, and comparatively less concern about taking sleep medications, three-quarters of users wished to reduce prescription hypnotics. Results may not generalize to individuals with insomnia not seeking nonpharmacological treatments. Upon completion, the "RCT of the Effectiveness of Stepped-Care Sleep Therapy in General Practice" study will provide information about the extent to which therapist-led and digital cognitive behavioral therapy for insomnia contribute to prescription hypnotic reduction. CLINICAL TRIAL REGISTRATION Registry: ClinicalTrials.gov; Name: The RESTING Insomnia Study: Randomized Controlled Study on Effectiveness of Stepped-Care Sleep Therapy (RESTING); URL: https://clinicaltrials.gov/ct2/show/NCT03532282; Identifier: NCT03532282. CITATION Tully IA, Kim JP, Simpson N, et al. Beliefs about prescription sleep medications and interest in reducing hypnotic use: an examination of middle-aged and older adults with insomnia disorder. J Clin Sleep Med. 2023;19(7):1247-1257.
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Affiliation(s)
- Isabelle A. Tully
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California
| | - Jane P. Kim
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California
| | - Norah Simpson
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California
| | - Latha Palaniappan
- Department of Health Policy, Stanford University School of Medicine, Stanford, California
| | - Joshua Tutek
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California
| | - Nicole B. Gumport
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California
| | - Jessica R. Dietch
- School of Psychological Science, Oregon State University, Corvallis, Oregon
| | - Rachel Manber
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California
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17
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Stachura A, Hussaini F, Nadeau C. Mobile App for Cognitive Therapy Insomnia Management in Primary Care. J Nurse Pract 2023. [DOI: 10.1016/j.nurpra.2022.09.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/11/2023]
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18
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Luyster FS, Boudreaux-Kelly MY, Bon JM. Insomnia in chronic obstructive pulmonary disease and associations with healthcare utilization and costs. Respir Res 2023; 24:93. [PMID: 36964552 PMCID: PMC10039604 DOI: 10.1186/s12931-023-02401-w] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Accepted: 03/16/2023] [Indexed: 03/26/2023] Open
Abstract
Insomnia has been linked to adverse chronic obstructive pulmonary disease (COPD) outcomes including exacerbations, yet its impact on COPD-related healthcare utilization and costs is unknown. In this study, we investigated the associations between insomnia and healthcare utilization and costs in patients with COPD. A retrospective cohort of veterans with COPD were identified from national Veterans Affairs administration data for fiscal years 2012-2017. Insomnia was operationalized as having an insomnia diagnosis based on International Classification of Disease codes or having a prescription of > 30 doses of a sedative-hypnotic medication in a given fiscal year. The index date for insomnia was the first date when dual criteria for COPD and insomnia was met. The index date for those without insomnia was set as the COPD index date. Our primary outcomes were 1-year healthcare utilization and costs related to outpatient visits and hospitalizations after index date. COPD-related healthcare utilization variables included number of prescription fills of corticosteroids and/or antibiotics and outpatient visits and hospitalizations with a primary diagnosis of COPD. Out of 1,011,646 patients (96% men, mean age 68.4 years) diagnosed with COPD, 407,363 (38.8%) had insomnia. After adjustment for confounders, insomnia was associated with higher rates of outpatient visits, hospitalizations, and fills for corticosteroids and/or antibiotics, longer hospital length of stay, and $10,344 higher hospitalization costs in the 12 months after index date. These findings highlight the importance of insomnia as a potentially modifiable target for reducing the burden of COPD on patients and healthcare systems.
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Affiliation(s)
- Faith S Luyster
- School of Nursing, University of Pittsburgh, 3500 Victoria St, 415 Victoria Building, Pittsburgh, PA, 15241, USA.
- VA Pittsburgh Healthcare System, Pittsburgh, PA, USA.
| | | | - Jessica M Bon
- VA Pittsburgh Healthcare System, Pittsburgh, PA, USA
- Division of Pulmonary, Allergy, and Critical Care Medicine, University of Pittsburgh, School of Medicine, Pittsburgh, PA, USA
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19
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Hardman JR, Rees CS, Bonnar D, Ree MJ. Group cognitive behavioural therapy for insomnia: impact on psychiatric symptoms and insomnia severity in a psychiatric outpatient setting. CLIN PSYCHOL-UK 2023. [DOI: 10.1080/13284207.2022.2155034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/08/2023]
Affiliation(s)
| | - Clare S. Rees
- School of Psychology, Curtin University, Perth, Australia
| | - Daniel Bonnar
- College of Education, Psychology and Social Work, Flinders University, Adelaide, Australia
| | - Melissa J. Ree
- School of Psychological Science, University of Western Australia, The Marian Centre, Perth, Australia
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20
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Ellis JG, Meadows R, Alfonso-Miller P, Bastien CH. Partner Alliance to Enhance Efficacy and Adherence of CBT-I. Sleep Med Clin 2023; 18:1-7. [PMID: 36764781 DOI: 10.1016/j.jsmc.2022.09.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/11/2023]
Abstract
Cognitive behavioral therapy for insomnia (CBT-I) is now widely recognized as the first-line management strategy for insomnia, both for insomnia in its "pure" form, and when comorbid with a physical or psychological illness. However, there is a definite need to develop and test both alternative and adjunct interventions to CBT-I, before implementing them into routine practice. The aim of this article is to provide a narrative review of the literature with regard to what is known about the influence of partners on sleep, insomnia, and its management.
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Affiliation(s)
- Jason Gordon Ellis
- Northumbria Sleep Research, Northumbria University, 129 NB408 Northumberland Building, Newcastle, NE1 8ST, United Kingdom; Department of Physical Education and Sport Sciences, University of Limerick, Sreelane, Castletroy, Co. Limerick, V94 T9PX, Ireland.
| | - Robert Meadows
- Department of Sociology, University of Surrey, 15 AD 03, GU2 7XH, United Kingdom
| | - Pamela Alfonso-Miller
- Northumbria Sleep Research, Northumbria University, 129 NB408 Northumberland Building, Newcastle, NE1 8ST, United Kingdom
| | - Célyne H Bastien
- École de Psychologie, Pavillon Félix-Antoine-Savard, Université Laval, 2325, Rue des Bibliothèques, Local 1012, Québec (Québec) G1V 0A6, Canada
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21
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Carpenter CR, Southerland LT, Lucey BP, Prusaczyk B. Around the EQUATOR with clinician-scientists transdisciplinary aging research (Clin-STAR) principles: Implementation science challenges and opportunities. J Am Geriatr Soc 2022; 70:3620-3630. [PMID: 36005482 PMCID: PMC10538952 DOI: 10.1111/jgs.17993] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Revised: 06/25/2022] [Accepted: 07/04/2022] [Indexed: 12/24/2022]
Abstract
The Institute of Medicine and the National Institute on Aging increasingly understand that knowledge alone is necessary but insufficient to improve healthcare outcomes. Adapting the behaviors of clinicians, patients, and stakeholders to new standards of evidence-based clinical practice is often significantly delayed. In response, over the past twenty years, Implementation Science has developed as the study of methods and strategies that facilitate the uptake of evidence-based practice into regular use by practitioners and policymakers. One important advance in Implementation Science research was the development of Standards for Reporting Implementation Studies (StaRI), which provided a 27-item checklist for researchers to consistently report essential elements of the implementation and intervention strategies. Using StaRI as a framework, this review discusses specific Implementation Science challenges for research with older adults, provides solutions for those obstacles, and opportunities to improve the value of this evolving approach to reduce the knowledge translation losses that exist between published research and clinical practice.
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Affiliation(s)
- Christopher R Carpenter
- Department of Emergency Medicine and Emergency Care Research Core, Washington University in St. Louis School of Medicine, St. Louis, Missouri, USA
| | - Lauren T Southerland
- Department of Emergency Medicine, The Ohio State University, Columbus, Ohio, USA
| | - Brendan P Lucey
- Department of Neurology, Washington University in St Louis School of Medicine, St. Louis, Missouri, USA
| | - Beth Prusaczyk
- Department of Medicine Institute for Informatics, Washington University in St. Louis School of Medicine, St. Louis, Missouri, USA
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22
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Quality-adjusted life years for digital cognitive behavioural therapy for insomnia (Sleepio): a secondary analysis. BJGP Open 2022; 6:BJGPO.2022.0090. [PMID: 36216367 PMCID: PMC9904772 DOI: 10.3399/bjgpo.2022.0090] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Revised: 09/21/2022] [Accepted: 09/28/2022] [Indexed: 11/07/2022] Open
Abstract
BACKGROUND Insomnia is common, and difficulty with daytime functioning is a core symptom. Studies show cognitive behavioural therapy (CBT) improves functioning, but evidence is needed on its value for money. Quality-adjusted life years (QALYs), capturing length and quality of life, provide a standard metric by which to judge whether a treatment is worth its cost. Studies have found QALY gains with therapist-delivered and therapist-guided CBT, but most have not reached statistical significance. Estimates of QALY gains with fully automated digital CBT (dCBT) for insomnia are lacking. AIM To assess whether dCBT (Sleepio) for insomnia is associated with gains in QALYs compared with a sleep hygiene education control. DESIGN & SETTING A secondary analysis of a large effectiveness trial of 1711 participants from the UK, US, and Australia. METHOD EQ-5D scores, the National Institute for Health and Care Excellence's (NICE's) preferred measure of health-related quality of life (HRQoL), were predicted (mapped) from the 10-item Patient-Reported Outcomes Measurement Information System (PROMIS-10) Global Health scores and used to determine QALYs from baseline to 24 weeks (controlled), and to 48 weeks (uncontrolled). RESULTS At week 24, QALYs were significantly higher for the dCBT group, with mean QALYs 0.375 and 0.362 in the dCBT and control groups, respectively. The mean difference was 0.014 (95% confidence interval [CI] = 0.008 to 0.019), and this difference was maintained over the 48-week study period (0.026, 95% CI = 0.016 to 0.036). The difference of 0.026 QALYs is equivalent to 9.5 days in perfect health. CONCLUSION Sleepio is associated with statistically significant gains in QALYs over time compared with control. Findings may be used to power future studies and inform cost-effectiveness analyses of automated dCBT for insomnia scaled to a population level.
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23
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Zhou Q, Liu Z, Zhao S, Yu J, Zhou D, Xu W, Zhang Y. Transcranial magnetic stimulation combined with transcranial direct current stimulation in patients with chronic insomnia: a case report. J Clin Sleep Med 2022; 18:2871-2874. [PMID: 36453603 PMCID: PMC9713920 DOI: 10.5664/jcsm.10272] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Revised: 08/23/2022] [Accepted: 08/24/2022] [Indexed: 12/14/2022]
Abstract
Long-term insomnia affects the normal life and work of individuals and increases the risk of various health problems, including mental illness. Therefore, there is an urgent need for an efficient and safe treatment for improving sleep. In this study, we report the case a 52-year-old woman who received repetitive transcranial magnetic stimulation (rTMS) combined with transcranial direct current stimulation (tDCS) after agreeing to publish her case. In order to evaluate the quality of sleep and the stability of emotional symptoms, clinical evaluations were conducted at baseline, after 10 treatment sessions, after 20 treatment sessions, and 1 month after the end of treatment. After completing rTMS combined with tDCS, the patient showed an overall clinical improvement, with clinical changes mainly observed in the Pittsburgh Sleep Quality Index, Hamilton Depression Scale, Hamilton Anxiety Scale scores and polysomnography, and this improvement was maintained 1 month after the intervention. This case provides the first evidence for the feasibility, tolerability, and safety of combined rTMS and tDCS in a patient with chronic insomnia. CLINICAL TRIAL REGISTRATION Registry: Chinese Clinical Trial Registry; Name: Clinical study of repetitive transcranial magnetic stimulation combined with transcranial direct current stimulation in the treatment of chronic insomnia; URL: http://www.chictr.org.cn/edit.aspx?pid=57440&htm=4; Identifier: ChiCTR ChiCTR2100052681. CITATION Zhou Q, Liu Z, Zhao S, et al. Transcranial magnetic stimulation combined with transcranial direct current stimulation in patients with chronic insomnia: a case report. J Clin Sleep Med. 2022;18(12):2871-2873.
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Affiliation(s)
- Qi Zhou
- Department of Psychiatry, Ningbo Kangning Hospital, Affiliated Mental Health Center of Ningbo University, Ningbo, Zhejiang, China
| | - Zhiwang Liu
- Department of Psychiatry, Ningbo Kangning Hospital, Affiliated Mental Health Center of Ningbo University, Ningbo, Zhejiang, China
| | - Shengnan Zhao
- Department of Psychiatry, Ningbo Kangning Hospital, Affiliated Mental Health Center of Ningbo University, Ningbo, Zhejiang, China
| | - Jia Yu
- Department of Psychiatry, Ningbo Kangning Hospital, Affiliated Mental Health Center of Ningbo University, Ningbo, Zhejiang, China
| | - Dongsheng Zhou
- Department of Psychiatry, Ningbo Kangning Hospital, Affiliated Mental Health Center of Ningbo University, Ningbo, Zhejiang, China
| | - Weiqian Xu
- Taizhou Second People's Hospital, Taizhou, Zhejiang, China
| | - Yuanyuan Zhang
- Department of Psychiatry, Ningbo Kangning Hospital, Affiliated Mental Health Center of Ningbo University, Ningbo, Zhejiang, China
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24
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Cognitive Complaints and Comorbidities in Obstructive Sleep Apnea. Sleep Med Clin 2022; 17:647-656. [DOI: 10.1016/j.jsmc.2022.07.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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25
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Comorbid Insomnia and Sleep Apnea. Sleep Med Clin 2022; 17:597-617. [DOI: 10.1016/j.jsmc.2022.07.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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26
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Forma F, Pratiwadi R, El-Moustaid F, Smith N, Thorndike F, Velez F. Network meta-analysis comparing the effectiveness of a prescription digital therapeutic for chronic insomnia to medications and face-to-face cognitive behavioral therapy in adults. Curr Med Res Opin 2022; 38:1727-1738. [PMID: 35938209 DOI: 10.1080/03007995.2022.2108616] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
OBJECTIVE The purpose of this study was to compare the effectiveness of the only Food and Drug Administration-authorized prescription digital therapeutic (PDT) Somryst versus face-to-face cognitive behavioral therapy for insomnia (CBT-I), or FDA-approved prescription medications for insomnia. METHODS A systematic literature review was undertaken to identify relevant studies. A Bayesian network meta-analysis (NMA) was conducted to examine (1) mean change in insomnia severity index (ISI); (2) proportional change in ISI remitters; (3) mean change in wake after sleep onset (WASO); and (4) mean change in sleep onset latency (SOL). RESULTS Twenty studies provided data on the PDT, CBT-I, CBT-I in combination with self-help (SH), or two prescription medications (eszopiclone and zolpidem). The PDT was associated with significant mean change in ISI (-5.77, 95% Credible Interval [CrI] - 8.53, -3.07) and ISI remitters (OR 12.33; 95% CrI 2.28, 155.91) compared to placebo, and had the highest probability of being the most effective treatment overall for ISI mean change (56%), and ISI remitters (64%). All evaluated interventions significantly outperformed placebo for WASO but no significant differences were observed for SOL (five interventions). Sensitivity analyses excluding medications and meta-regression (assessing type, duration, delivery method for CBT-I) did not affect NMA results. CONCLUSIONS This network meta-analysis demonstrated that a PDT delivering CBT-I had the highest probability of being most effective compared to face-to-face CBT-I, prescription sleep medications, or placebo, as measured by reductions in mean ISI score from baseline and ISI-determined remittance.
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Taylor KM, Bradley J, Cella M. A novel smartphone-based intervention targeting sleep difficulties in individuals experiencing psychosis: A feasibility and acceptability evaluation. Psychol Psychother 2022; 95:717-737. [PMID: 35481697 PMCID: PMC9541554 DOI: 10.1111/papt.12395] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Accepted: 04/01/2022] [Indexed: 12/12/2022]
Abstract
OBJECTIVES Cognitive Behavioural Therapy (CBT) is an effective psychological intervention for sleep difficulties and has been used successfully in individuals with psychosis. However, access is restricted due to lack of resources and staff training. Delivering CBT for sleep problems using smartphone technology may facilitate wider access. This study aimed to evaluate the feasibility, acceptability and potential usefulness of a guided, smartphone-based CBT intervention targeting sleep disturbance for individuals with psychosis. DESIGN Participants with psychosis spectrum diagnoses were recruited to a single-arm, uncontrolled study and engaged with the seven-module programme via smartphone app for six weeks with therapist support. METHOD Feasibility was assessed by rates of referral, recruitment and completion. Acceptability was assessed by app usage, a satisfaction questionnaire and qualitative analysis of participants' semi-structured interview. Pre- and post-intervention assessment of sleep, psychotic experiences, mood, well-being and functioning was conducted. Mean change confidence intervals were calculated and reported as an indication of usefulness. RESULTS Fourteen individuals consented to participation, and eleven completed the post-intervention assessment. On average, each participant engaged with 5.6 of 7 available modules. Qualitative feedback indicated the intervention was considered helpful and would be recommended to others. Suggested improvements to app design were provided by participants. Potential treatment benefits were observed for sleep difficulties, and all outcomes considered, except frequency of hallucinatory experiences. CONCLUSIONS It is feasible and acceptable to deliver therapist-guided CBT for sleep problems by smartphone app for individuals with psychosis. This method provides a low-intensity, accessible intervention, which could be offered more routinely. Further research to determine treatment efficacy is warranted.
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Affiliation(s)
- Kathryn M. Taylor
- Department of PsychologyInstitute of Psychiatry, Psychology, and NeuroscienceKing's College LondonLondonUK,South London and Maudsley NHS Foundation TrustLondonUK
| | | | - Matteo Cella
- Department of PsychologyInstitute of Psychiatry, Psychology, and NeuroscienceKing's College LondonLondonUK,South London and Maudsley NHS Foundation TrustLondonUK
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28
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Liu CY, Zhao YN, Wang XQ, Qin S, Wan QY, Zheng SY, Wu WZ. 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. Trials 2022; 23:86. [PMID: 35090540 PMCID: PMC8796488 DOI: 10.1186/s13063-022-06012-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Accepted: 01/08/2022] [Indexed: 01/16/2023] Open
Abstract
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.
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Affiliation(s)
- Cheng-yong Liu
- Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, No. 155, Hanzhong Road, Qinhuai District, Nanjing, Jiangsu China
| | - Ya-nan Zhao
- Institute of Acupuncture and Moxibustion, China Academy of Chinese Medical Sciences, Beijing, China
| | - Xiao-qiu Wang
- Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, No. 155, Hanzhong Road, Qinhuai District, Nanjing, Jiangsu China
| | - Shan Qin
- Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, No. 155, Hanzhong Road, Qinhuai District, Nanjing, Jiangsu China
| | - Qing-yun Wan
- Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, No. 155, Hanzhong Road, Qinhuai District, Nanjing, Jiangsu China
| | - Shi-yu Zheng
- Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, No. 155, Hanzhong Road, Qinhuai District, Nanjing, Jiangsu China
| | - Wen-zhong Wu
- Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, No. 155, Hanzhong Road, Qinhuai District, Nanjing, Jiangsu China
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Yeung K, Zhu W, McCurry SM, Von Korff M, Wellman R, Morin CM, Vitiello MV. Cost-effectiveness of telephone cognitive behavioral therapy for osteoarthritis-related insomnia. J Am Geriatr Soc 2022; 70:188-199. [PMID: 34633061 PMCID: PMC8742775 DOI: 10.1111/jgs.17469] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2021] [Revised: 07/22/2021] [Accepted: 08/23/2021] [Indexed: 01/03/2023]
Abstract
BACKGROUND Osteoarthritis-related insomnia is the most common form of comorbid insomnia among older Americans. A randomized clinical trial found that six sessions of telephone-delivered cognitive behavioral therapy for insomnia (CBT-I) improved sleep outcomes in this population. Using these data, we evaluated the incremental cost-effectiveness of CBT-I from a healthcare sector perspective. METHODS The study was based on 325 community-dwelling older adults with insomnia and osteoarthritis pain enrolled with Kaiser Permanente of Washington State. We measured quality-adjusted life years (QALYs) using the EuroQol 5-dimension scale. Arthritis-specific quality of life was measured using the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC). Insomnia-specific quality of life was measured using the Insomnia Severity Index (ISI) and nights without clinical insomnia (i.e., "insomnia-free nights"). Total healthcare costs included intervention and healthcare utilization costs. RESULTS Over the 12 months after randomization, CBT-I improved ISI and WOMAC by -2.6 points (95% CI: -2.9 to -2.4) and -2.6 points (95% CI: -3.4 to -1.8), respectively. The ISI improvement translated into 89 additional insomnia-free nights (95% CI: 79 to 98) over the 12 months. CBT-I did not significantly reduce total healthcare costs (-$1072 [95% CI: -$1968 to $92]). Improvements in condition-specific measures were not reflected in QALYs gained (-0.01 [95% CI: -0.01 to 0.01]); at a willingness-to-pay of $150,000 per QALY, CBT-I resulted in a positive net monetary benefit of $369 with substantial uncertainty (95% CI: -$1737 to $2270). CONCLUSION CBT-I improved sleep and arthritis function without increasing costs. These findings support the consideration of telephone CBT-I for treating insomnia among older adults with comorbid OA. Our findings also suggest potential limitations of the general quality of life measures in assessing interventions designed to improve sleep and arthritis outcomes.
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Affiliation(s)
- Kai Yeung
- Kaiser Permanente Washington Health Research Institute, Seattle, Washington, USA,University of Washington, The Comparative Health Outcomes, Policy, and Economics (CHOICE) Institute, Seattle, Washington, USA
| | - Weiwei Zhu
- Kaiser Permanente Washington Health Research Institute, Seattle, Washington, USA
| | - Susan M. McCurry
- Department of Child, Family, and Population Health Nursing, University of Washington School of Nursing, Seattle, Washington, USA
| | - Michael Von Korff
- Kaiser Permanente Washington Health Research Institute, Seattle, Washington, USA
| | - Robert Wellman
- Kaiser Permanente Washington Health Research Institute, Seattle, Washington, USA
| | - Charles M. Morin
- Department of Psychology, Université Laval, Quebec City, Quebec, Canada
| | - Michael V. Vitiello
- Department of Psychiatry & Behavioral Sciences, University of Washington School of Medicine, Seattle, Washington, USA
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Digital cognitive behavioural therapy for insomnia and primary care costs in England: an interrupted time series analysis. BJGP Open 2021; 6:BJGPO.2021.0146. [PMID: 34862166 PMCID: PMC9447315 DOI: 10.3399/bjgpo.2021.0146] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Accepted: 10/13/2021] [Indexed: 10/31/2022] Open
Abstract
BACKGROUND Sleepio is an automated digital programme that delivers cognitive behavioural therapy for insomnia (dCBT-I). Sleepio has been proven effective in improving sleep difficulties. However, evidence for the possible impact of Sleepio use on health care costs in the United Kingdom has not previously been developed. AIM We sought to identify the effect of a population-wide rollout of Sleepio in terms of primary care costs in the National Health Service (NHS) in England. DESIGN & SETTING The study was conducted in the Thames Valley region of England, where access to Sleepio was made freely available to all residents between October 2018 and January 2020. The study relies on a quasi-experimental design, using an interrupted time series to compare the trend in primary care costs before and after the rollout of Sleepio. METHOD We use primary care data for people with relevant characteristics from nine general practices in Buckinghamshire. Primary care costs include general practice contacts and prescriptions. Segmented regression analysis was used to estimate primary and secondary outcomes. RESULTS For the 10,704 patients included in our sample, the total saving over the 65-week follow-up period was £71,027. This corresponds to £6.64 per person in our sample or around £70.44 per Sleepio user. Secondary analyses suggest that savings may be driven primarily by reductions in prescribing. CONCLUSION Sleepio rollout reduced primary care costs. National adoption of Sleepio may reduce primary care costs by £20 million in the first year. The expected impact on primary care costs in any particular setting will depend on the uptake of Sleepio.
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Lechat B, Appleton S, Melaku YA, Hansen K, McEvoy RD, Adams R, Catcheside P, Lack L, Eckert DJ, Sweetman A. Co-morbid insomnia and obstructive sleep apnoea is associated with all-cause mortality. Eur Respir J 2021; 60:13993003.01958-2021. [PMID: 34857613 DOI: 10.1183/13993003.01958-2021] [Citation(s) in RCA: 54] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Accepted: 11/16/2021] [Indexed: 11/05/2022]
Abstract
STUDY OBJECTIVES Increased mortality has been reported in people with insomnia and in those with obstructive sleep apnoea (OSA). However, these conditions commonly co-occur and the combined effect of co-morbid insomnia and sleep apnoea (COMISA) on mortality risk is unknown. This study used Sleep Heart Health Study (SHHS) data to assess associations between COMISA and all-cause mortality risk. METHODS Insomnia was defined as difficulties falling asleep, maintaining sleep, and/or early morning awakenings from sleep ≥16 times a month and daytime impairment. OSA was defined as an apnoea-hypopnoea index ≥15 events/h sleep. COMISA was defined if both conditions were present. Multivariable adjusted Cox proportional hazard models were used to determine the association between COMISA and all-cause mortality (n=1210) over 15 years of follow-up. RESULTS 5236 participants were included. 2708 (52%) did not have insomnia/OSA (control), 170 (3%) had insomnia-alone, 2221 (42%) had OSA-alone, and 137 (3%) had COMISA. COMISA participants had a higher prevalence of hypertension (ORs [95%CI]; 2.00 [1.39, 2.90]) and cardiovascular disease compared to controls (1.70 [1.11, 2.61]). Insomnia-alone and OSA-alone were associated with higher risk of hypertension but not cardiovascular disease compared to controls. Compared to controls, COMISA was associated with a 47% (HR, 95% CI; 1.47 (1.06, 2.07)) increased risk of mortality. The association between COMISA and mortality was consistent across multiple definitions of OSA and insomnia. CONCLUSIONS Co-morbid insomnia and sleep apnoea was associated with higher rates of hypertension and cardiovascular disease at baseline, and an increased risk of all-cause mortality compared to no insomnia/OSA.
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Affiliation(s)
- Bastien Lechat
- College of Science and Engineering, Flinders University, Adelaide, Australia .,Adelaide Institute for Sleep Health and FHMRI Sleep Health, College of Medicine and Public Health, Flinders University, Adelaide, Australia
| | - Sarah Appleton
- Adelaide Institute for Sleep Health and FHMRI Sleep Health, College of Medicine and Public Health, Flinders University, Adelaide, Australia
| | - Yohannes Adama Melaku
- Adelaide Institute for Sleep Health and FHMRI Sleep Health, College of Medicine and Public Health, Flinders University, Adelaide, Australia
| | - Kristy Hansen
- College of Science and Engineering, Flinders University, Adelaide, Australia
| | - R Doug McEvoy
- Adelaide Institute for Sleep Health and FHMRI Sleep Health, College of Medicine and Public Health, Flinders University, Adelaide, Australia.,National Centre for Sleep Health Services Research: A NHMRC Centre of Research Excellence, Flinders University, Adelaide, South Australia, Australia
| | - Robert Adams
- Adelaide Institute for Sleep Health and FHMRI Sleep Health, College of Medicine and Public Health, Flinders University, Adelaide, Australia.,National Centre for Sleep Health Services Research: A NHMRC Centre of Research Excellence, Flinders University, Adelaide, South Australia, Australia
| | - Peter Catcheside
- Adelaide Institute for Sleep Health and FHMRI Sleep Health, College of Medicine and Public Health, Flinders University, Adelaide, Australia
| | - Leon Lack
- National Centre for Sleep Health Services Research: A NHMRC Centre of Research Excellence, Flinders University, Adelaide, South Australia, Australia.,College of Education, Psychology and Social Work, Flinders University, , Adelaide, South Australia, Australia
| | - Danny J Eckert
- Adelaide Institute for Sleep Health and FHMRI Sleep Health, College of Medicine and Public Health, Flinders University, Adelaide, Australia
| | - Alexander Sweetman
- Adelaide Institute for Sleep Health and FHMRI Sleep Health, College of Medicine and Public Health, Flinders University, Adelaide, Australia.,National Centre for Sleep Health Services Research: A NHMRC Centre of Research Excellence, Flinders University, Adelaide, South Australia, Australia
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Ree MJ, Richardson C. Insomnia disorder update: the benefits of screening and treatment for this common presentation. Intern Med J 2021; 51:1798-1805. [PMID: 34796636 DOI: 10.1111/imj.15567] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2020] [Revised: 05/02/2021] [Accepted: 06/19/2021] [Indexed: 11/28/2022]
Abstract
Insomnia is a chronic condition and major healthcare problem for Australians across the lifespan. Insomnia's high prevalence and disease burden render it an important target for treatment. Further, and importantly, there exist established bidirectional links between insomnia and a range of health conditions, with insomnia both contributing to risk, maintenance and relapse of comorbid conditions. Recent clinical research demonstrates that treating insomnia in its own right is important for resolution of insomnia and for optimising treatment outcomes for comorbid presenting problems. Due to its effectiveness and favourable side-effect profile, Cognitive Behaviour Therapy-Insomnia (CBT-I) is the recommended first-line treatment even when comorbid conditions are present. CBT-I is a brief treatment often delivered in four to eight consultations. Individual, group and online CBT-I have each demonstrated effectiveness. Outcomes for online CBT-I are often stronger when individualised clinician support is provided. Specifically assessing for and treating insomnia in clinical practice may provide an opportunity to optimise treatment outcome in many patients.
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Affiliation(s)
- Melissa J Ree
- School of Psychological Science, The University of Western Australia, Perth, Western Australia, Australia
| | - Cele Richardson
- School of Psychological Science, The University of Western Australia, Perth, Western Australia, Australia
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Cognitive Behavioral Therapy and Acceptance and Commitment Therapy for the Discontinuation of Long-Term Benzodiazepine Use in Insomnia and Anxiety Disorders. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph181910222. [PMID: 34639523 PMCID: PMC8508349 DOI: 10.3390/ijerph181910222] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Revised: 09/15/2021] [Accepted: 09/23/2021] [Indexed: 01/23/2023]
Abstract
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.
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Sweetman A, Lack L, McEvoy RD, Smith S, Eckert DJ, Osman A, Carberry JC, Wallace D, Nguyen PD, Catcheside P. Bi-directional relationships between co-morbid insomnia and sleep apnea (COMISA). Sleep Med Rev 2021; 60:101519. [PMID: 34229295 DOI: 10.1016/j.smrv.2021.101519] [Citation(s) in RCA: 57] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Revised: 06/06/2021] [Accepted: 06/11/2021] [Indexed: 02/07/2023]
Abstract
Insomnia and obstructive sleep apnea (OSA) commonly co-occur. Approximately 30-50% of patients with OSA report clinically significant insomnia symptoms, and 30-40% of patients with chronic insomnia fulfil diagnostic criteria for OSA. Compared to either insomnia or OSA alone, co-morbid insomnia and sleep apnea (COMISA) is associated with greater morbidity for patients, complex diagnostic decisions for clinicians, and reduced response to otherwise effective treatment approaches. Potential bi-directional causal relationships between the mechanisms and manifestations of insomnia and OSA could play an integral role in the development and management of COMISA. A greater understanding of these relationships is required to guide personalized diagnostic and treatment approaches for COMISA. This review summarizes the available evidence of bi-directional relationships between COMISA, including epidemiological research, case studies, single-arm treatment studies, randomized controlled treatment trials, and objective sleep study data. This evidence is integrated into a conceptual model of COMISA to help refine the understanding of potential bi-directional causal relationships between the two disorders. This theoretical framework is essential to help guide future research, improve diagnostic tools, determine novel therapeutic targets, and guide tailored sequenced and multi-faceted treatment approaches for this common, complex, and debilitating condition.
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Affiliation(s)
- Alexander Sweetman
- The Adelaide Institute for Sleep Health: A Centre of Research Excellence, Flinders Health and Medical Research Institute: Sleep Health, College of Medicine and Public Health, Flinders University, Adelaide, Australia.
| | - Leon Lack
- The Adelaide Institute for Sleep Health: A Centre of Research Excellence, Flinders Health and Medical Research Institute: Sleep Health, College of Education Psychology and Social Work, Flinders University, Adelaide, Australia.
| | - R Doug McEvoy
- The Adelaide Institute for Sleep Health: A Centre of Research Excellence, Flinders Health and Medical Research Institute: Sleep Health, College of Medicine and Public Health, Flinders University, Adelaide, Australia.
| | - Simon Smith
- Institute for Social Science Research (ISSR), The University of Queensland, Brisbane, 4027, Australia.
| | - Danny J Eckert
- The Adelaide Institute for Sleep Health: A Centre of Research Excellence, Flinders Health and Medical Research Institute: Sleep Health, College of Medicine and Public Health, Flinders University, Adelaide, Australia.
| | - Amal Osman
- The Adelaide Institute for Sleep Health: A Centre of Research Excellence, Flinders Health and Medical Research Institute: Sleep Health, College of Medicine and Public Health, Flinders University, Adelaide, Australia.
| | - Jayne C Carberry
- The Adelaide Institute for Sleep Health: A Centre of Research Excellence, Flinders Health and Medical Research Institute: Sleep Health, College of Medicine and Public Health, Flinders University, Adelaide, Australia; University College Dublin, School of Medicine, Dublin, Ireland.
| | - Douglas Wallace
- Department of Neurology, Sleep Medicine Division, University of Miami Miller School of Medicine, Miami, FL, USA; Neurology Service, Bruce W. Carter Department of Veterans Affairs Medical Center, Miami, FL, USA.
| | - Phuc D Nguyen
- The Adelaide Institute for Sleep Health: A Centre of Research Excellence, Flinders Health and Medical Research Institute: Sleep Health, College of Science and Engineering, Flinders University, Adelaide, Australia.
| | - Peter Catcheside
- The Adelaide Institute for Sleep Health: A Centre of Research Excellence, Flinders Health and Medical Research Institute: Sleep Health, College of Medicine and Public Health, Flinders University, Adelaide, Australia.
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Buntrock C, Lehr D, Smit F, Horvath H, Berking M, Spiegelhalder K, Riper H, Ebert DD. Guided Internet-Based Cognitive Behavioral Therapy for Insomnia: Health-Economic Evaluation From the Societal and Public Health Care Perspective Alongside a Randomized Controlled Trial. J Med Internet Res 2021; 23:e25609. [PMID: 34028361 PMCID: PMC8185611 DOI: 10.2196/25609] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2020] [Revised: 12/12/2020] [Accepted: 04/17/2021] [Indexed: 11/13/2022] Open
Abstract
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
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Affiliation(s)
- Claudia Buntrock
- Chair of Clinical Psychology and Psychotherapy, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany
| | - Dirk Lehr
- Institute of Psychology, Leuphana University Lueneburg, Lueneburg, Germany
| | - Filip Smit
- Center for Economic Evaluation and Machine Learning, Trimbos Insitute, Utrecht, Netherlands.,Department of Biostatistics and Epidemiology, Amsterdam Public Health Research Institute, VU University Medical Center Amsterdam, Amsterdam, Netherlands.,Department of Clinical, Neuro and Developmental Psychology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | | | - Matthias Berking
- Chair of Clinical Psychology and Psychotherapy, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany
| | - Kai Spiegelhalder
- Department of Psychiatry and Psychotherapy, Medical Center University of Freiburg, Freiburg, Germany
| | - Heleen Riper
- Department of Clinical, Neuro and Developmental Psychology, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.,Telepsychiatric Centre, University of Southern Denmark, Odense, Denmark
| | - David Daniel Ebert
- Department of Sport and Health Sciences, Technical University of Munich, Munich, Germany
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Streatfeild J, Smith J, Mansfield D, Pezzullo L, Hillman D. The Social And Economic Cost Of Sleep Disorders. Sleep 2021; 44:6279099. [PMID: 34015136 DOI: 10.1093/sleep/zsab132] [Citation(s) in RCA: 47] [Impact Index Per Article: 15.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2021] [Revised: 05/14/2021] [Indexed: 11/12/2022] Open
Abstract
STUDY OBJECTIVES To estimate economic cost of common sleep disorders in Australia for 2019-2020. METHODS Costs were estimated for obstructive sleep apnea (OSA), insomnia, and restless legs syndrome (RLS) using prevalence, financial, and nonfinancial data from national databases. These included: (1) financial costs associated with health care, informal care, productivity losses, non-medical accident costs, deadweight loss from taxation/welfare inefficiencies; and (2) nonfinancial costs associated with loss of well-being. They were expressed in US dollars ($). RESULTS Estimated overall cost of sleep disorders in Australia in 2019-2020 (population: 25.5 million) was $35.4 billion (OSA $13.1 billion; insomnia $13.3 billion, RLS $9.0 billion). Of this, the financial cost component was $10.0 billion, comprised of: health system costs $0.7 billion; productivity losses $7.7 billion; informal care $0.2 billion; other, mainly non-medical accident costs, $0.4 billion; and deadweight losses $1.0 billion. For moderate to severe OSA syndrome, insomnia unrelated to other conditions and RLS, financial costs represented $16,717, $21,982, and $16,624 per adult with the condition for the year, respectively. The nonfinancial cost was $25.4 billion. CONCLUSIONS The economic costs associated with sleep disorders are substantial. The financial component of $10.0 billion is equivalent to 0.73% of Australian gross domestic product. The nonfinancial cost of $25.4 billion represents 3.2% of total Australian burden of disease for the year. Health system costs of these disorders are low relative to those associated with their consequences, suggesting greater expenditure on detection, treatment and prevention is warranted.
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Affiliation(s)
- Jared Streatfeild
- Health Economics and Social Policy Team, Deloitte Access Economics, Canberra, Australia
| | - Jackson Smith
- Health Economics and Social Policy Team, Deloitte Access Economics, Canberra, Australia
| | - Darren Mansfield
- Monash Lung and Sleep Department, Monash Health, Melbourne, Australia
| | - Lynne Pezzullo
- Health Economics and Social Policy Team, Deloitte Access Economics, Canberra, Australia
| | - David Hillman
- Centre for Sleep Science, University of Western Australia, Perth, Australia.,West Australian Sleep Disorders Research Institute, Department of Pulmonary Physiology and Sleep Medicine, Sir Charles Gairdner Hospital, Perth, Australia
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Sweetman A, Lechat B, Catcheside PG, Smith S, Antic NA, O’Grady A, Dunn N, McEvoy RD, Lack L. Polysomnographic Predictors of Treatment Response to Cognitive Behavioral Therapy for Insomnia in Participants With Co-morbid Insomnia and Sleep Apnea: Secondary Analysis of a Randomized Controlled Trial. Front Psychol 2021; 12:676763. [PMID: 34017296 PMCID: PMC8129160 DOI: 10.3389/fpsyg.2021.676763] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2021] [Accepted: 04/13/2021] [Indexed: 01/16/2023] Open
Abstract
OBJECTIVE Co-morbid insomnia and sleep apnea (COMISA) is a common and debilitating condition that is more difficult to treat compared to insomnia or sleep apnea-alone. Emerging evidence suggests that cognitive behavioral therapy for insomnia (CBTi) is effective in patients with COMISA, however, those with more severe sleep apnea and evidence of greater objective sleep disturbance may be less responsive to CBTi. Polysomnographic sleep study data has been used to predict treatment response to CBTi in patients with insomnia-alone, but not in patients with COMISA. We used randomized controlled trial data to investigate polysomnographic predictors of insomnia improvement following CBTi, versus control in participants with COMISA. METHODS One hundred and forty five participants with insomnia (ICSD-3) and sleep apnea [apnea-hypopnea index (AHI) ≥ 15] were randomized to CBTi (n = 72) or no-treatment control (n = 73). Mixed models were used to investigate the effect of pre-treatment AHI, sleep duration, and other traditional (AASM sleep macrostructure), and novel [quantitative electroencephalography (qEEG)] polysomnographic predictors of between-group changes in Insomnia Severity Index (ISI) scores from pre-treatment to post-treatment. RESULTS Compared to control, CBTi was associated with greater ISI improvement among participants with; higher AHI (interaction p = 0.011), less wake after sleep onset (interaction p = 0.045), and less N3 sleep (interaction p = 0.005). No quantitative electroencephalographic, or other traditional polysomnographic variables predicted between-group ISI change (all p > 0.09). DISCUSSION Among participants with COMISA, higher OSA severity predicted a greater treatment-response to CBTi, versus control. People with COMISA should be treated with CBTi, which is effective even in the presence of severe OSA and objective sleep disturbance.
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Affiliation(s)
- Alexander Sweetman
- The Adelaide Institute for Sleep Health and Flinders Health and Medical Research Institute: Sleep Health, Flinders University, Adelaide, SA, Australia
- College of Medicine and Public Health, Flinders University, Adelaide, SA, Australia
| | - Bastien Lechat
- The Adelaide Institute for Sleep Health and Flinders Health and Medical Research Institute: Sleep Health, Flinders University, Adelaide, SA, Australia
- College of Science and Engineering, Flinders University, Adelaide, SA, Australia
| | - Peter G. Catcheside
- The Adelaide Institute for Sleep Health and Flinders Health and Medical Research Institute: Sleep Health, Flinders University, Adelaide, SA, Australia
- College of Medicine and Public Health, Flinders University, Adelaide, SA, Australia
| | - Simon Smith
- Institute for Social Science Research, The University of Queensland, Brisbane, QLD, Australia
| | - Nick A. Antic
- The Adelaide Institute for Sleep Health and Flinders Health and Medical Research Institute: Sleep Health, Flinders University, Adelaide, SA, Australia
- Sleep Health Service, Repatriation General Hospital and Respiratory and Sleep Services, Southern Adelaide Local Health Network, Adelaide, SA, Australia
| | - Amanda O’Grady
- The Adelaide Institute for Sleep Health and Flinders Health and Medical Research Institute: Sleep Health, Flinders University, Adelaide, SA, Australia
- College of Medicine and Public Health, Flinders University, Adelaide, SA, Australia
| | - Nicola Dunn
- Thoracic Program, The Prince Charles Hospital, Chermside, QLD, Australia
| | - R. Doug McEvoy
- The Adelaide Institute for Sleep Health and Flinders Health and Medical Research Institute: Sleep Health, Flinders University, Adelaide, SA, Australia
- College of Medicine and Public Health, Flinders University, Adelaide, SA, Australia
| | - Leon Lack
- The Adelaide Institute for Sleep Health and Flinders Health and Medical Research Institute: Sleep Health, Flinders University, Adelaide, SA, Australia
- College of Education Psychology and Social Work, Flinders University, Adelaide, SA, Australia
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Darden M, Espie CA, Carl JR, Henry AL, Kanady JC, Krystal AD, Miller CB. Cost-effectiveness of digital cognitive behavioral therapy (Sleepio) for insomnia: a Markov simulation model in the United States. Sleep 2021; 44:5957088. [PMID: 33151330 DOI: 10.1093/sleep/zsaa223] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2020] [Revised: 10/13/2020] [Indexed: 02/06/2023] Open
Abstract
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.
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Affiliation(s)
- Michael Darden
- Carey Business School, Johns Hopkins University, Baltimore, MD
| | - Colin A Espie
- Sleep and Circadian Neuroscience Institute, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.,Big Health Inc., London, UK.,Big Health Inc., San Francisco, CA
| | - Jenna R Carl
- Big Health Inc., London, UK.,Big Health Inc., San Francisco, CA
| | - Alasdair L Henry
- Sleep and Circadian Neuroscience Institute, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.,Big Health Inc., London, UK.,Big Health Inc., San Francisco, CA
| | | | - Andrew D Krystal
- Department of Psychiatry, School of Medicine, University of California San Francisco, San Francisco, CA.,Department of Neurology, School of Medicine, University of California San Francisco, San Francisco, CA
| | - Christopher B Miller
- Sleep and Circadian Neuroscience Institute, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.,Big Health Inc., London, UK.,Big Health Inc., San Francisco, CA
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Sweetman A, Melaku YA, Lack L, Reynolds A, Gill TK, Adams R, Appleton S. Prevalence and associations of co-morbid insomnia and sleep apnoea in an Australian population-based sample. Sleep Med 2021; 82:9-17. [PMID: 33873104 DOI: 10.1016/j.sleep.2021.03.023] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Revised: 03/17/2021] [Accepted: 03/22/2021] [Indexed: 12/15/2022]
Abstract
INTRODUCTION Insomnia and obstructive sleep apnoea (OSA) are the two most prevalent sleep disorders, and frequently co-occur (COMISA) in sleep clinic samples. However, few studies have investigated the prevalence or associations of COMISA in the general population. METHODS We used population-based online survey data from 2044 Australian adults. The prevalence and associations of insomnia, OSA and COMISA were investigated according to symptom-level, and disorder-level definitions. Insomnia was defined according to chronic difficulties initiating and/or maintaining sleep (DIMS; symptom-level), and ICSD-3 chronic insomnia disorder (disorder-level). OSA was defined according to self-reported frequent obstructive events, snoring or doctor-diagnosed OSA (symptom-level), and doctor-diagnosed OSA (disorder-level). COMISA was defined if both conditions were met (for symptom-level, and disorder-level threshold). Associations with other conditions, and general health were investigated with Poisson regression analyses. RESULTS Chronic insomnia occurred more frequently among participants with doctor-diagnosed OSA (22.3%), compared to those without (14.3%, p = 0.010). Doctor-diagnosed OSA was more common among participants with chronic insomnia (10.2%) compared to those without (6.2%; p = 0.010). DIMS also occurred more frequently among participants with OSA symptoms (66.6%), compared to those without (47.2%; p < 0.001). Participants with symptom-level COMISA reported increased co-morbid conditions, and worse general health compared to participants with symptoms of insomnia-alone, OSA-alone, or neither insomnia/OSA. CONCLUSIONS COMISA at symptom and disorder level were common and associated with increased medical and psychiatric co-morbidity, as well as poor general health. More investigation is required to understand bi-directional associations underpinning the high co-morbidity, and improve diagnostic and treatment approaches for COMISA to reduce associated morbidity.
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Affiliation(s)
- Alexander Sweetman
- The Adelaide Institute for Sleep Health, Flinders Health and Medical Research Institute: Sleep Health, College of Medicine and Public Health, Flinders University, SA, 5042, Australia; National Centre for Sleep Health Services Research: A NHMRC Centre of Research Excellence, Flinders University, Adelaide, SA, Australia.
| | - Yohannes Adama Melaku
- The Adelaide Institute for Sleep Health, Flinders Health and Medical Research Institute: Sleep Health, College of Medicine and Public Health, Flinders University, SA, 5042, Australia
| | - Leon Lack
- The Adelaide Institute for Sleep Health, Flinders Health and Medical Research Institute: Sleep Health, College of Medicine and Public Health, Flinders University, SA, 5042, Australia; College of Education, Psychology and Social Work, Flinders University, SA, 5042, Australia; National Centre for Sleep Health Services Research: A NHMRC Centre of Research Excellence, Flinders University, Adelaide, SA, Australia
| | - Amy Reynolds
- The Adelaide Institute for Sleep Health, Flinders Health and Medical Research Institute: Sleep Health, College of Medicine and Public Health, Flinders University, SA, 5042, Australia; Appleton Institute, CQUniversity Australia, SA, 5034, Australia
| | - Tiffany K Gill
- Adelaide Medical School, The University of Adelaide, Adelaide, SA, 5000, Australia
| | - Robert Adams
- The Adelaide Institute for Sleep Health, Flinders Health and Medical Research Institute: Sleep Health, College of Medicine and Public Health, Flinders University, SA, 5042, Australia; National Centre for Sleep Health Services Research: A NHMRC Centre of Research Excellence, Flinders University, Adelaide, SA, Australia
| | - Sarah Appleton
- The Adelaide Institute for Sleep Health, Flinders Health and Medical Research Institute: Sleep Health, College of Medicine and Public Health, Flinders University, SA, 5042, Australia
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40
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Sweetman A, Putland S, Lack L, McEvoy RD, Adams R, Grunstein R, Stocks N, Kaambwa B, Van Ryswyk E, Gordon C, Vakulin A, Lovato N. The effect of cognitive behavioural therapy for insomnia on sedative-hypnotic use: A narrative review. Sleep Med Rev 2020; 56:101404. [PMID: 33370637 DOI: 10.1016/j.smrv.2020.101404] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2020] [Revised: 07/12/2020] [Accepted: 07/26/2020] [Indexed: 01/09/2023]
Abstract
Although cognitive behavioural therapy for insomnia (CBTi) is the recommended 'first-line' treatment for insomnia, most patients are initially treated with sedative-hypnotic medications. Given the risk of impaired cognitive and psychomotor performance, serious adverse events, and long-term dependence associated with sedative-hypnotics, guidelines recommend that prescriptions should be limited to short-term use and that patients are provided with support for withdrawal where possible. CBTi is an effective insomnia treatment in the presence of sedative-hypnotic use. Furthermore, guidelines recommended that CBTi techniques are utilised to facilitate withdrawal from sedative-hypnotics. However, there is very little research evaluating the effect of CBTi on reduced medication use. The current narrative review integrates 95 studies including over 10,000 participants, investigating the effect of CBTi on reduced sedative-hypnotic use in different populations (e.g., hypnotic-dependent patients, older adults, military personnel), settings (e.g., primary care settings, psychiatric inpatients), CBTi modalities (e.g., self-administered reading/audio materials, digital, and therapist-administered), and in combination with gradual dose reduction programs. Based on this research, we discuss the theoretical mechanistic effects of CBTi in facilitating reduced sedative-hypnotic use, provide clear recommendations for future research, and offer pragmatic clinical suggestions to increase access to CBTi to reduce dependence on sedative-hypnotics as the 'default' treatment for insomnia.
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Affiliation(s)
- Alexander Sweetman
- The Adelaide Institute for Sleep Health: A Centre of Research Excellence, College of Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia; National Centre for Sleep Health Services Research: A NHMRC Centre of Research Excellence, Flinders University, Adelaide, South Australia, Australia.
| | | | - Leon Lack
- College of Education, Psychology and Social Work, Flinders University, Adelaide, South Australia, Australia; National Centre for Sleep Health Services Research: A NHMRC Centre of Research Excellence, Flinders University, Adelaide, South Australia, Australia
| | - R Doug McEvoy
- The Adelaide Institute for Sleep Health: A Centre of Research Excellence, College of Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia; National Centre for Sleep Health Services Research: A NHMRC Centre of Research Excellence, Flinders University, Adelaide, South Australia, Australia
| | - Robert Adams
- The Adelaide Institute for Sleep Health: A Centre of Research Excellence, College of Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia; The Health Observatory, Discipline of Medicine, The Queen Elizabeth Hospital Campus, University of Adelaide, Woodville, South Australia, Australia; Respiratory and Sleep Service, Southern Adelaide Local Health Network, Bedford Park, Adelaide, South Australia, Australia; National Centre for Sleep Health Services Research: A NHMRC Centre of Research Excellence, Flinders University, Adelaide, South Australia, Australia
| | - Ron Grunstein
- Sleep and Chronobiology Research Group, Woolcock Institute of Medical Research, University of Sydney, New South Wales, Australia; National Centre for Sleep Health Services Research: A NHMRC Centre of Research Excellence, Flinders University, Adelaide, South Australia, Australia
| | - Nigel Stocks
- Discipline of General Practice, Adelaide Medical School, University of Adelaide, South Australia, Australia; National Centre for Sleep Health Services Research: A NHMRC Centre of Research Excellence, Flinders University, Adelaide, South Australia, Australia
| | - Billingsley Kaambwa
- Health Economics, College of Medicine and Public Health, Bedford Park, Adelaide, South Australia, Australia; National Centre for Sleep Health Services Research: A NHMRC Centre of Research Excellence, Flinders University, Adelaide, South Australia, Australia
| | - Emer Van Ryswyk
- The Adelaide Institute for Sleep Health: A Centre of Research Excellence, College of Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia; National Centre for Sleep Health Services Research: A NHMRC Centre of Research Excellence, Flinders University, Adelaide, South Australia, Australia
| | - Christopher Gordon
- Susan Wakil School of Nursing and Midwifery, Faculty of Medicine and Health, University of Sydney, NSW, Australia; Sleep and Chronobiology Research Group, Woolcock Institute of Medical Research, University of Sydney, New South Wales, Australia; National Centre for Sleep Health Services Research: A NHMRC Centre of Research Excellence, Flinders University, Adelaide, South Australia, Australia
| | - Andrew Vakulin
- The Adelaide Institute for Sleep Health: A Centre of Research Excellence, College of Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia; National Centre for Sleep Health Services Research: A NHMRC Centre of Research Excellence, Flinders University, Adelaide, South Australia, Australia
| | - Nicole Lovato
- The Adelaide Institute for Sleep Health: A Centre of Research Excellence, College of Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia; National Centre for Sleep Health Services Research: A NHMRC Centre of Research Excellence, Flinders University, Adelaide, South Australia, Australia
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41
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Wickwire EM, Morin CM. Advancing a value framework for sleep: Update on economic aspects of cognitive-behavioral treatments for insomnia. Sleep Med Rev 2020; 54:101387. [PMID: 33007737 DOI: 10.1016/j.smrv.2020.101387] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2020] [Accepted: 09/09/2020] [Indexed: 11/15/2022]
Affiliation(s)
- Emerson M Wickwire
- Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA; Sleep Disorders Center, Division of Pulmonary and Critical Care, University of Maryland School of Medicine, Baltimore, MD, USA.
| | - Charles M Morin
- Université Laval, École de psychologie, Québec City, Québec, Canada
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