Cost-effectiveness of cognitive behavioural therapy versus health education for sleep disturbance and fatigue following stroke and traumatic brain injury
DOI:
https://doi.org/10.2340/jrm.v57.42770Keywords:
acquired brain injuries, stroke, sleep, fatigue, cognitive behaviour therapy, economic evaluation, cost-effectiveness, health educationAbstract
Objective: Evaluate cost, effectiveness and cost-effectiveness of cognitive behavioural therapy for sleep and fatigue (CBT-SF) vs health education (HE) and of CBT-SF vs treatment as usual (TAU) for sleep disturbance and fatigue in acquired brain injury.
Design: Economic evaluation from Australian health system and societal perspectives based on data from a June 2017 to October 2023 randomized controlled trial.
Subjects: Community-dwelling Australian adults with sleep disturbance and fatigue following acquired brain injury (n = 126).
Methods: Incremental health system costs based on cost of delivery and health service utilization since last follow-up. Incremental effectiveness based on participant-reported sleep quality, fatigue, and quality of life at each timepoint. Productivity gains/losses
based on a 1-week activity diary at each timepoint.
Results: Reductions in health service utilization from CBT-SF (–A$777, 95% CI: –A$4,232, A$2,678) offset higher delivery costs (A$333, 95% CI: A$109, A$556) relative to HE, with improvements in quality of life at 2 months post-treatment (0.02, 95% CI: –0.01, 0.05) and an additional 3.37 quality-adjusted life days per participant (95% CI: –4.18, 10.92). CBT-SF dominates HE (less costly and more effective) and is likely more cost-effective than HE (66–76%). CBT-SF is cost-effective relative to TAU under realistic assumptions.
Conclusions: CBT-SF after acquired brain injury improved clinical and economic outcomes and was more likely to be cost-effective than HE. Further research is required to precisely estimate the cost-effectiveness of CBT-SF vs TAU and to demonstrate generalizability to routine practice and other settings.
ANZCTR Trial registration numbers: 1261700087830; 12617000879369.
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References
Hasan F, Gordon C, Dean W, Hui-Chuan H, Yuliana LT, Susatia B, et al. Dynamic prevalence of sleep disorders following stroke or transient ischemic attack: systematic review and meta-analysis. Stroke 2021; 52: 655–663.
https://doi.org/10.1161/STROKEAHA.120.029847 DOI: https://doi.org/10.1161/STROKEAHA.120.029847
Mathias JL, Alvaro PK. Prevalence of sleep disturbances, disorders, and problems following traumatic brain injury: a meta-analysis. Sleep Med 2012; 13: 898–905.
https://doi.org/10.1016/j.sleep.2012.04.006 DOI: https://doi.org/10.1016/j.sleep.2012.04.006
Pilon L, Frankenmolen N, Bertens D. Treatments for sleep disturbances in individuals with acquired brain injury: a systematic review. Clin Rehabil 2021; 35: 1518–1529.
https://doi.org/10.1177/02692155211014827 DOI: https://doi.org/10.1177/02692155211014827
Nguyen S, Wong D, McKay A, Rajaratnam S, Spitz G, Williams G, et al. Cognitive behavioural therapy for post-stroke fatigue and sleep disturbance: a pilot randomised controlled trial with blind assessment. Neuropsychol Rehabil 2019; 29: 723–738.
https://doi.org/10.1080/09602011.2017.1326945 DOI: https://doi.org/10.1080/09602011.2017.1326945
Nguyen S, Wong D, McKay A, Rajaratnam S, Spitz G, Williams G, et al. Cognitive behaviour therapy to treat sleep disturbance and fatigue after traumatic brain injury: a pilot randomized controlled trial. Arch Phys Med Rehabil 2017.
https://doi.org/10.1016/j.apmr.2017.02.031 DOI: https://doi.org/10.1016/j.apmr.2017.02.031
Ymer L, McKay A, Wong D, Frencham K, Grima N, Roper M, et al. Randomized controlled trial of cognitive behavioral therapy versus health education for sleep disturbance and fatigue following stroke and traumatic brain injury. J Rehabil Med 2025; 57: jrm41302.
https://doi.org/10.2340/jrm.v57.41302
Fulk GD, Boyne P, Hauger M, Ghosh R, Romano S, Thomas J, et al. The impact of sleep disorders on functional recovery and participation following stroke: a systematic review and meta-analysis. Neurorehabil Neural Repair 2020; 34: 1050–1061.
https://doi.org/10.1177/1545968320962501 DOI: https://doi.org/10.1177/1545968320962501
Lowe A, Neligan A, Greenwood R. Sleep disturbance and recovery during rehabilitation after traumatic brain injury: a systematic review. Disabil Rehabil 2020; 42: 1041–1054.
https://doi.org/10.1080/09638288.2018.1516819 DOI: https://doi.org/10.1080/09638288.2018.1516819
Enright SJ. Cognitive behaviour therapy – clinical applications. BMJ 1997; 314: 1811–1816.
https://doi.org/10.1136/bmj.314.7097.1811 DOI: https://doi.org/10.1136/bmj.314.7097.1811
Fang L, Lyu Z, Ai S, Du S, Zhou W, Zeng S, et al. Is cognitive behavioral therapy for insomnia more cost-effective? New-perspective on economic evaluations: a systematic review and meta-analysis. Sleep 2024; 47.
https://doi.org/10.1093/sleep/zsae122 DOI: https://doi.org/10.1093/sleep/zsae122
Ymer L, McKay A, Wong D, Frencham K, Grima N, Tran J, et al. Cognitive behavioural therapy versus health education for sleep disturbance and fatigue after acquired brain injury: a pilot randomised trial. Ann Phys Rehabil Med 2021; 64: 101560.
https://doi.org/10.1016/j.rehab.2021.101560 DOI: https://doi.org/10.1016/j.rehab.2021.101560
Ymer L, McKay A, Wong D, Ponsford J. The design and evaluation of a health education control for comparison with cognitive behavioural therapy for individuals with acquired brain injury. Pilot Feasibility Stud 2022; 8: 120.
https://doi.org/10.1186/s40814-022-01070-8 DOI: https://doi.org/10.1186/s40814-022-01070-8
Humphreys I, Thomas S, Phillips C, Lincoln N. Cost analysis of the Communication and Low Mood (CALM) randomised trial of behavioural therapy for stroke patients with aphasia. Clin Rehabil 2014; 29: 30–41.
https://doi.org/10.1177/0269215514537656 DOI: https://doi.org/10.1177/0269215514537656
Stolwyk RJ, Gooden JR, Kim J, Cadilhac DA. What is known about the cost-effectiveness of neuropsychological interventions for individuals with acquired brain injury? A scoping review. Neuropsychol Rehabil 2021; 31: 316–344.
https://doi.org/10.1080/09602011.2019.1692672 DOI: https://doi.org/10.1080/09602011.2019.1692672
Ymer L, McKay A, Wong D, Frencham K, Grima N, Roper M, et al. Randomized controlled trial of cognitive behavioral therapy versus health education for sleep disturbance and fatigue following stroke and traumatic brain injury. Ann Phys Rehabil Med 2025; forthcoming.
https://doi.org/10.2340/jrm.v57.41302 DOI: https://doi.org/10.2340/jrm.v57.41302
Buysse DJ, Reynolds CF 3rd, Monk TH, Berman SR, Kupfer DJ. The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research. Psychiatry Res 1989; 28: 193–213.
https://doi.org/10.1016/0165-1781(89)90047-4 DOI: https://doi.org/10.1016/0165-1781(89)90047-4
Krupp LB, LaRocca NG, Muir-Nash J, Steinberg AD. The Fatigue Severity Scale: application to patients with multiple sclerosis and systemic lupus erythematosus. Arch Neurol 1989; 46: 1121–1123.
https://doi.org/10.1001/archneur.1989.00520460115022 DOI: https://doi.org/10.1001/archneur.1989.00520460115022
Ponsford J, John O, Robyn N, Carolyn C, Ponsford M. Outcome measurement in an inpatient and outpatient traumatic brain injury rehabilitation programme. Neuropsychol Rehabil 1999; 9: 517–534.
https://doi.org/10.1080/096020199389563 DOI: https://doi.org/10.1080/096020199389563
Ware JE Jr, Sherbourne CD. The MOS 36 item short form health survey (SF 36). Med Care 1992; 30: 473–483.
https://doi.org/10.1097/00005650-199206000-00002 DOI: https://doi.org/10.1097/00005650-199206000-00002
Brazier JE, Roberts J. The estimation of a preference-based measure of health from the SF-12. Med Care 2004; 42: 851–859.
https://doi.org/10.1097/01.mlr.0000135827.18610.0d DOI: https://doi.org/10.1097/01.mlr.0000135827.18610.0d
Sagen U, Vik TG, Moum T, Mørland T, Finset A, Dammen T. Screening for anxiety and depression after stroke: comparison of the Hospital Anxiety and Depression Scale and the Montgomery and Åsberg Depression Rating Scale. J Psychosom Res 2009; 67: 325–332.
https://doi.org/10.1016/j.jpsychores.2009.03.007 DOI: https://doi.org/10.1016/j.jpsychores.2009.03.007
Glick H, Doshi J, Sonnad S, Polsky D. Economic evaluation in clinical trials. New York: Oxford University Press; 2007.
Roy AN, Madhavan SS, Lloyd A. A discrete choice experiment to elicit patient willingness to pay for attributes of treatment-induced symptom relief in comorbid insomnia. Manag Care 2015; 24: 42–48.
Edney LC, Haji Ali Afzali H, Cheng TC, Karnon J. Estimating the reference incremental cost-effectiveness ratio for the Australian health system. PharmacoEconomics 2018; 36: 239–252.
https://doi.org/10.1007/s40273-017-0585-2 DOI: https://doi.org/10.1007/s40273-017-0585-2
Cobiac LJ, Magnus A, Barendregt JJ, Carter R, Vos T. Improving the cost-effectiveness of cardiovascular disease prevention in Australia: a modelling study. BMC Public Health 2012; 12: 398.
https://doi.org/10.1186/1471-2458-12-398 DOI: https://doi.org/10.1186/1471-2458-12-398
George B, Harris A, Mitchell A. Cost-effectiveness analysis and the consistency of decision making. PharmacoEconomics 2001; 19: 1103–1109.
https://doi.org/10.2165/00019053-200119110-00004 DOI: https://doi.org/10.2165/00019053-200119110-00004
Shiroiwa T, Sung Y-K, Fukuda T, Lang H-C, Bae S-C, Tsutani K. International survey on willingness-to-pay (WTP) for one additional QALY gained: what is the threshold of cost effectiveness? Health Econ 2010; 19: 422–437.
https://doi.org/10.1002/hec.1481 DOI: https://doi.org/10.1002/hec.1481
Pichon-Riviere A, Drummond M, Palacios A, Garcia-Marti S, Augustovski F. Determining the efficiency path to universal health coverage: cost-effectiveness thresholds for 174 countries based on growth in life expectancy and health expenditures. Lancet Glob Health 2023; 11: e833–e842.
https://doi.org/10.1016/S2214-109X(23)00162-6 DOI: https://doi.org/10.1016/S2214-109X(23)00162-6
Robbins R, Weaver MD, Quan SF, Sullivan JP, Qadri S, Glasner L, et al. Evaluating the impact of a sleep health education and a personalised smartphone application on sleep, productivity and healthcare utilisation among employees: results of a randomised clinical trial. BMJ Open 2022; 12: e062121.
https://doi.org/10.1136/bmjopen-2022-062121 DOI: https://doi.org/10.1136/bmjopen-2022-062121
Yuasa A, Yonemoto N, LoPresti M, Ikeda S. Use of productivity loss/gain in cost-effectiveness analyses for drugs: a systematic review. PharmacoEconomics 2021; 39: 81–97.
https://doi.org/10.1007/s40273-020-00986-4 DOI: https://doi.org/10.1007/s40273-020-00986-4
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Copyright (c) 2025 Duncan Mortimer, Lucy Ymer, Adam McKay, Dana Wong, Kate Frencham, Natalie Grima, Monique Roper, Sylvia Nguyen, Jade Murray, Gershon Spitz, Jennie Ponsford

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