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Salazar-Méndez J, Viscay-Sanhueza N, Pinto-Vera C, Oyarce-Contreras F, Parra-Vera MF, Suso-Martí L, Guzmán-Muñoz E, López-Bueno R, Núñez-Cortés R, Calatayud J. Cognitive behavioral therapy for insomnia in people with chronic musculoskeletal pain. A systematic review and dose-response meta-analysis. Sleep Med 2024; 122:20-26. [PMID: 39111059 DOI: 10.1016/j.sleep.2024.07.031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/06/2024] [Revised: 07/22/2024] [Accepted: 07/25/2024] [Indexed: 09/12/2024]
Abstract
The aims were (i) to determine the effects of Cognitive behavioral therapy for insomnia (CBT-I) on sleep disturbances, pain intensity and disability in patients with chronic musculoskeletal pain (CMP), and (ii) to determine the dose-response association between CBT-I dose (total minutes) and improvements in sleep disorders, pain intensity and disability in patients with CMP. A comprehensive search was conducted in PubMed/MEDLINE, Web of Science, CINAHL, and SCOPUS until December 17, 2023. Randomized clinical trials (RCTs) using CBT-I without co-interventions in people with CMP and sleep disorders were eligible. Two reviewers independently extracted data and assessed risk of bias and certainty of the evidence. A random effects meta-analysis was applied to determine the effects on the variables of interest. The dose-response association was assessed using a restricted cubic spline model. Eleven RCTs (n = 1801 participants) were included. We found a significant effect in favor of CBT-I for insomnia (SMD: -1.34; 95%CI: -2.12 to -0.56), with a peak effect size at 450 min of CBT-I (-1.65, 95%CI: -1.89 to -1.40). A non-significant effect was found for pain intensity. A meta-analysis of disability was not possible due to the lack of data. This review found benefits of CBT-I for insomnia compared to control interventions, with a large effect size. In addition, it was estimated that a 250-min dose of CBT-I had a large effect on reducing insomnia and that the peak effect was reached at 450 min. These novel findings may guide clinicians in optimizing the use of CBT-I in people with CMP and insomnia.
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Affiliation(s)
- Joaquín Salazar-Méndez
- Escuela de Kinesiología, Facultad de Salud, Universidad Santo Tomás, Talca, Chile; Laboratorio de Investigación Somatosensorial y Motora, Escuela de Kinesiología, Facultad de Salud, Universidad Santo Tomás, Talca, Chile
| | - Nelson Viscay-Sanhueza
- Unidad de Medicina Física y Rehabilitación, Hospital Dr. Gustavo Fricke, Viña del Mar, Chile
| | - Catalina Pinto-Vera
- Escuela de Kinesiología, Facultad de Salud, Universidad Santo Tomás, Talca, Chile
| | | | | | - Luis Suso-Martí
- Exercise Intervention for Health Research Group (EXINH-RG), Department of Physiotherapy, University of Valencia, Valencia, Spain
| | - Eduardo Guzmán-Muñoz
- Escuela de Kinesiología, Facultad de Salud, Universidad Santo Tomás, Talca, Chile
| | - Rubén López-Bueno
- Exercise Intervention for Health Research Group (EXINH-RG), Department of Physiotherapy, University of Valencia, Valencia, Spain; National Research Centre for the Working Environment, Copenhagen, Denmark; Department of Physical Medicine and Nursing, University of Zaragoza, Zaragoza, Spain
| | - Rodrigo Núñez-Cortés
- Department of Physical Therapy, Faculty of Medicine, University of Chile, Santiago, Chile.
| | - Joaquín Calatayud
- Exercise Intervention for Health Research Group (EXINH-RG), Department of Physiotherapy, University of Valencia, Valencia, Spain; National Research Centre for the Working Environment, Copenhagen, Denmark
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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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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 PMCID: PMC11367301 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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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] [MESH Headings] [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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Xu D, Li Z, Leitner U, Sun J. Efficacy of Remote Cognitive Behavioural Therapy for Insomnia in Improving Health Status of Patients with Insomnia Symptoms: A Meta-analysis. COGNITIVE THERAPY AND RESEARCH 2024; 48:177-211. [DOI: 10.1007/s10608-023-10458-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/09/2023] [Indexed: 01/23/2025]
Abstract
Abstract
Background
Insomnia is highly prevalent and cognitive behavioural therapy is the first-line treatment for it. This study aimed to assess the efficacy of remote cognitive behavioural therapy for insomnia, specifically, treatment fully delivered through the internet, mobile phones and telephones for sleep and other health outcomes in adults diagnosed with insomnia or reporting insomnia symptoms. This study also aimed to evaluate the effect of various intervention components as subgroup variables to explain the efficacy of remote cognitive behavioural therapy on health outcomes.
Methods
Randomised controlled trial studies were obtained from five electronic databases. The PEDro scale was used to assess the quality of the studies. A random effect model was used to assess the mean difference, standardised mean difference and standard deviation of the outcome variables. Heterogeneity among the study articles was assessed using I2 and Q tests. Egger regression analysis was used to assess publication bias.
Results
Remote cognitive behavioural therapy for insomnia had significant and positive effects on improving sleep outcomes, depression, anxiety, fatigue and mental health compared with the control conditions. Its effect on physical health was not significant. The effect of the therapy was enhanced when the total length of intervention was shorter than 6 weeks, delivered via the internet and did not include therapist support.
Conclusion
Remote cognitive behavioural therapy for insomnia is effective in improving sleep quality, depression, anxiety, fatigue and mental health in insomnia patients.
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Altieri M, Sergi MR, Tommasi M, Santangelo G, Saggino A. The efficacy of telephone-delivered cognitive behavioral therapy in people with chronic illnesses and mental diseases: A meta-analysis. J Clin Psychol 2024; 80:223-254. [PMID: 37428900 DOI: 10.1002/jclp.23563] [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: 08/09/2022] [Revised: 03/20/2023] [Accepted: 06/10/2023] [Indexed: 07/12/2023]
Abstract
COVID-19 pandemic led to an increase of remote treatments, such as telephone-delivery cognitive behavioral therapy (T-CBT). To our knowledge, no meta-analyses studied the effect of T-CBT in chronic and/or mental illnesses on multiple psychological outcomes. Therefore, our study aims to evaluating the efficacy of T-CBT compared to other interventions (treatment as usual, TAU, or face-to-face CBT). Each effect size (ES) was calculated in Hedges' g and pooled together to produce a mean ES for each outcome (depression, anxiety, mental and physical QoL, worry, coping, and sleep disturbances). The meta-analysis included 33 studies with a randomized controlled trial design. A large ES was found when comparing the efficacy of T-CBT against TAU on depression (g = 0.84, p < 0.001), whereas a moderate ES was found on anxiety (g = 0.57; p < 0.001), and a small effect on mental quality of life (g = 0.33, p < 0.001), sleep disturbances (g = 0.37, p = 0.042), coping (g = 0.20, p = 0.016) and worry (g = 0.43, p = 0.001). The meta-analysis comparing the efficacy of T-CBT and CBT on depression revealed a not significant pooled ES (g = 0.06, p = 0.466). The results provided evidence that T-CBT could be to be more effective than TAU conditions in multiple psychological outcomes, and as efficient as face-to-face CBT in treating depression.
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Affiliation(s)
- Manuela Altieri
- Department of Psychology, University of Campania "Luigi Vanvitelli", Caserta, Italy
| | - Maria R Sergi
- Department of Medicine and Aging Sciences, University of Chieti, Chieti, Italy
| | - Marco Tommasi
- Department of Medicine and Aging Sciences, University of Chieti, Chieti, Italy
| | - Gabriella Santangelo
- Department of Psychology, University of Campania "Luigi Vanvitelli", Caserta, Italy
| | - Aristide Saggino
- Department of Medicine and Aging Sciences, University of Chieti, Chieti, Italy
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Wickwire EM, Juday TR, Kelkar M, Heo J, Margiotta C, Frech FH. Economic burden of comorbid insomnia in 5 common medical disease subgroups. J Clin Sleep Med 2023; 19:1293-1302. [PMID: 37394794 PMCID: PMC10315590 DOI: 10.5664/jcsm.10592] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Revised: 03/07/2023] [Accepted: 03/08/2023] [Indexed: 03/29/2023]
Abstract
STUDY OBJECTIVES Approximately 85% of insomnia co-occurs with other disorders. Whereas insomnia was once considered "secondary" to these disorders, it is now widely recognized as an independent condition warranting treatment. While it is clear that insomnia can affect the course of other medical conditions, there is scant literature on the economic impact of comorbid insomnia among patients with common medical conditions. The aim of this study was to determine the economic burden of comorbid insomnia in 5 medical diseases commonly associated with insomnia: type 2 diabetes mellitus (T2DM), cancer undergoing treatment, menopause undergoing hormone replacement therapy, osteoporosis, and Alzheimer's disease and related dementias (ADRDs). METHODS This retrospective cohort study used claims data from the IBM MarketScan Commercial and Medicare Supplemental Databases from January 1, 2014, through December 31, 2019. Insomnia and comorbid disease groups were defined using physician-assigned International Classification of Diseases diagnostic codes. Insomnia medication treatment was defined based on ≥1 prescription fills for the most commonly prescribed insomnia medications (zolpidem, low-dose trazodone, and benzodiazepines [as a class]). For each comorbid disease subgroup, 4 cohorts were created: (1) patients with either treated or untreated insomnia, (2) non-sleep-disordered controls, (3) patients with untreated insomnia, and (4) patients with treated insomnia. RESULTS Sample sizes for individuals with comorbid insomnia ranged from 23,168 (T2DM) to 3,015 (ADRDs). Within each disease subgroup and relative to non-sleep-disordered controls, patients with comorbid insomnia demonstrated greater adjusted health care resource utilization and costs across most points of service. Likewise, relative to individuals with untreated insomnia, those with treated insomnia generally demonstrated greater adjusted health care resource utilization and costs. CONCLUSIONS In this national analysis, both untreated comorbid insomnia and comorbid insomnia treated with commonly prescribed insomnia medications were associated with increased health care resource utilization and costs across most points of service. CITATION Wickwire EM, Juday TR, Kelkar M, Heo J, Margiotta C, Frech FH. Economic burden of comorbid insomnia in 5 common medical disease subgroups. J Clin Sleep Med. 2023;19(7):1293-1302.
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Affiliation(s)
- Emerson M. Wickwire
- Sleep Disorders Center, Division of Pulmonary and Critical Care Medicine, Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland
- Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland
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Hu L, Wang EJH. Sleep as a Therapeutic Target for Pain Management. Curr Pain Headache Rep 2023; 27:131-141. [PMID: 37162641 DOI: 10.1007/s11916-023-01115-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/20/2023] [Indexed: 05/11/2023]
Abstract
PURPOSE OF REVIEW The purpose of this review is to provide a summary of the utilization of sleep as a therapeutic target for chronic pain and to evaluate the recent literature on current and proposed pharmacologic and non-pharmacologic sleep interventions used in the management of pain disorders. RECENT FINDINGS Sleep is a promising therapeutic target in the treatment of pain disorders with both non-pharmacologic and pharmacologic therapies. Non-pharmacologic therapies include cognitive behavioral therapy and sensory-based therapies such as pink noise, audio-visual stimulation, and morning bright light therapy. Pharmacologic therapies include melatonin, z-drugs, gabapentinoids, and the novel orexin antagonists. However, more research is needed to clarify if these therapies can improve pain specifically by improving sleep. There is a vast array of investigational opportunities in sleep-targeted therapies for pathologic pain, and larger controlled, prospective trials are needed to fully elucidate their efficacy.
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Affiliation(s)
- Lizbeth Hu
- Department of Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
| | - Eric Jyun-Han Wang
- Department of Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
- Johns Hopkins Blaustein Pain Treatment Center, 601 North Caroline Street, Suite 3062, Baltimore, MD, 21287, USA.
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Hinman RS, Lawford BJ, Nelligan RK, Bennell KL. Virtual Tools to Enable Management of Knee Osteoarthritis. CURRENT TREATMENT OPTIONS IN RHEUMATOLOGY 2023; 9:1-21. [PMID: 37362068 PMCID: PMC10006574 DOI: 10.1007/s40674-023-00202-2] [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] [Accepted: 02/08/2023] [Indexed: 06/28/2023]
Abstract
Purpose of review There is increasing recognition that virtual tools, enabled by the internet and telecommunications technology, can increase access to health care. We review evidence about the clinical effectiveness and acceptability of telephone-delivered and videoconferencing clinician consultations, websites and internet-delivered programs, and SMS and mobile applications in enabling the management of people with knee osteoarthritis (OA). We discuss barriers to using virtual tools and suggest strategies to facilitate implementation in clinical settings. Recent findings An increasing number of systematic reviews, meta-analyses, and clinical trials provide evidence showing the effectiveness of virtual tools for improving knee OA management. Qualitative research shows that virtual tools increase patient access to knee OA care, are generally acceptable and convenient for patients, but can be associated with barriers to use from patient and clinician perspectives. Summary Virtual tools offer new opportunities to enable people with knee OA to manage their condition and receive care that may otherwise be difficult or not possible to access. Telephone calls and videoconferencing can be used for real-time synchronous consultations between clinicians and patients, increasing the geographic reach of health services. Websites and internet-based programs can be used to educate patients about their condition, as well as deliver exercise, weight management, and psychological interventions. Mobile apps can monitor and track OA symptoms, exercise, and physical activity, while SMS can facilitate positive behaviour changes for self-management over the long-term when sustained clinician contact may not be possible.
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Affiliation(s)
- Rana S. Hinman
- Centre for Health, Exercise and Sports Medicine, Department of Physiotherapy, School of Health Sciences, Faculty of Medicine Dentistry & Health Sciences, The University of Melbourne, Melbourne, VIC Australia
| | - Belinda J. Lawford
- Centre for Health, Exercise and Sports Medicine, Department of Physiotherapy, School of Health Sciences, Faculty of Medicine Dentistry & Health Sciences, The University of Melbourne, Melbourne, VIC Australia
| | - Rachel K. Nelligan
- Centre for Health, Exercise and Sports Medicine, Department of Physiotherapy, School of Health Sciences, Faculty of Medicine Dentistry & Health Sciences, The University of Melbourne, Melbourne, VIC Australia
| | - Kim L. Bennell
- Centre for Health, Exercise and Sports Medicine, Department of Physiotherapy, School of Health Sciences, Faculty of Medicine Dentistry & Health Sciences, The University of Melbourne, Melbourne, VIC Australia
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