The Cost-Effectiveness Analysis of Gamiguibi-Tang versus Hwangryunhaedok-Tang for Patients with Insomnia Disorder Based on a Randomized Controlled Trial
Abstract
:1. Introduction
2. Materials and Methods
2.1. Clinical Trial Design and Participants
2.2. Effectiveness Measurement
2.3. Costs Measurement
2.4. Cost-Effectiveness Analysis
2.5. Statistical Analysis
3. Results
3.1. Treatment Outcomes
3.2. Costs Outcomes
3.3. Cost-Effectiveness Outcomes
4. Discussion
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- Aernout, E.; Benradia, I.; Hazo, J.-B.; Sy, A.; Askevis-Leherpeux, F.; Sebbane, D.; Roelandt, J.-L. International study of the prevalence and factors associated with insomnia in the general population. Sleep Med. 2021, 82, 186–192. [Google Scholar] [CrossRef]
- Roth, T. Prevalence, associated risks, and treatment patterns of insomnia. J. Clin. Psychiatry 2005, 66 (Suppl. 9), 10–13. [Google Scholar] [PubMed]
- American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders, 5th ed.; American Psychiatric Association: Washington, DC, USA, 2013. [Google Scholar]
- Sateia, M.J. International classification of sleep disorders-third edition: Highlights and modifications. Chest 2014, 146, 1387–1394. [Google Scholar] [CrossRef] [PubMed]
- Ancoli-Israel, S.; Roth, T. Characteristics of insomnia in the United States: Results of the 1991 National Sleep Foundation Survey. I. Sleep 1999, 22 (Suppl. 2), S347–S353. [Google Scholar] [PubMed]
- Roth, T. Insomnia: Definition, prevalence, etiology, and consequences. J. Clin. Sleep Med. 2007, 3 (Suppl. 5), S7–S10. [Google Scholar] [CrossRef] [Green Version]
- Martin, S.A.; Aikens, J.E.; Chervin, R.D. Toward cost-effectiveness analysis in the diagnosis and treatment of insomnia. Sleep Med. Rev. 2004, 8, 63–72. [Google Scholar] [CrossRef] [PubMed]
- Bolge, S.C.; Doan, J.F.; Kannan, H.; Baran, R.W. Association of insomnia with quality of life, work productivity, and activity impairment. Qual. Life Res. 2009, 18, 415–422. [Google Scholar] [CrossRef]
- Bolge, S.C.; Joish, V.N.; Balkrishnan, R.; Kannan, H.; Drake, C.L. Burden of chronic sleep maintenance insomnia characterized by nighttime awakenings. Popul. Health Manag. 2010, 13, 15–20. [Google Scholar] [CrossRef] [Green Version]
- DiBonaventura, M.; Richard, L.; Kumar, M.; Forsythe, A.; Flores, N.M.; Moline, M. Association between Insomnia and Insomnia Treatment Side Effects on Health Status, Work Productivity, and Healthcare Resource Use. PLoS ONE 2015, 10, e0137117. [Google Scholar] [CrossRef]
- Daley, M.; Morin, C.M.; LeBlanc, M.; Grégoire, J.P.; Savard, J.; Baillargeon, L. Insomnia and its relationship to health-care utilization, work absenteeism, productivity and accidents. Sleep Med. 2009, 10, 427–438. [Google Scholar] [CrossRef]
- Morphy, H.; Dunn, K.M.; Lewis, M.; Boardman, H.F.; Croft, P.R. Epidemiology of insomnia: A longitudinal study in a UK population. Sleep 2007, 30, 274–280. [Google Scholar] [PubMed] [Green Version]
- Staner, L. Comorbidity of insomnia and depression. Sleep Med. Rev. 2010, 14, 35–46. [Google Scholar] [CrossRef] [PubMed]
- De Almondes, K.M.; Costa, M.V.; Malloy-Diniz, L.F.; Diniz, B.S. Insomnia and risk of dementia in older adults: Systematic review and meta-analysis. J. Psychiatr. Res. 2016, 77, 109–115. [Google Scholar] [CrossRef] [PubMed]
- Taylor, D.J.; Mallory, L.J.; Lichstein, K.L.; Durrence, H.H.; Riedel, B.W.; Bush, A.J. Comorbidity of chronic insomnia with medical problems. Sleep 2007, 30, 213–218. [Google Scholar] [CrossRef] [Green Version]
- Bjørngaard, J.H.; Bjerkeset, O.; Romundstad, P.; Gunnell, D. Sleeping problems and suicide in 75,000 Norwegian adults: A 20 year follow-up of the HUNT I study. Sleep 2011, 34, 1155–1159. [Google Scholar] [CrossRef] [Green Version]
- Wickwire, E.M.; Shaya, F.T.; Scharf, S.M. Health economics of insomnia treatments: The return on investment for a good night’s sleep. Sleep Med. Rev. 2016, 30, 72–82. [Google Scholar] [CrossRef]
- Daley, M.; Morin, C.M.; LeBlanc, M.; Grégoire, J.-P.; Savard, J. The economic burden of insomnia: Direct and indirect costs for individuals with insomnia syndrome, insomnia symptoms, and good sleepers. Sleep 2009, 32, 55–64. [Google Scholar]
- Ozminkowski, R.J.; Wang, S.; Walsh, J.K. The direct and indirect costs of untreated insomnia in adults in the United States. Sleep 2007, 30, 263–273. [Google Scholar] [CrossRef] [Green Version]
- Kessler, R.C.; Berglund, P.A.; Coulouvrat, C.; Hajak, G.; Roth, T.; Shahly, V.; Shillington, A.C.; Stephenson, J.J.; Walsh, J.K. Insomnia and the performance of US workers: Results from the America insomnia survey. Sleep 2011, 34, 1161–1171. [Google Scholar] [CrossRef] [Green Version]
- Sarsour, K.; Kalsekar, A.; Swindle, R.; Foley, K.; Walsh, J.K. The association between insomnia severity and healthcare and productivity costs in a health plan sample. Sleep 2011, 34, 443–450. [Google Scholar] [CrossRef] [Green Version]
- Godet-Cayré, V.; Pelletier-Fleury, N.; Le Vaillant, M.; Dinet, J.; Massuel, M.-A.; Léger, D. Insomnia and absenteeism at work. Who pays the cost? Sleep 2006, 29, 179–184. [Google Scholar] [CrossRef] [PubMed]
- Asche, C.V.; Joish, V.N.; Camacho, F.; Drake, C.L. The direct costs of untreated comorbid insomnia in a managed care population with major depressive disorder. Curr. Med. Res. Opin. 2010, 26, 1843–1853. [Google Scholar] [CrossRef]
- Tian, H.; Abouzaid, S.; Gabriel, S.; Kahler, K.H.; Kim, E. Resource utilization and costs associated with insomnia treatment in patients with major depressive disorder. Prim. Care Companion CNS Disord. 2012, 14, 27239. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Rosekind, M.R.; Gregory, K.B. Insomnia risks and costs: Health, safety, and quality of life. Am. J. Manag. Care 2010, 16, 617–626. [Google Scholar] [PubMed]
- Kim, S.J. Recent advances in diagnosis and treatment of insomnia disorder. J. Korean Neuropsychiatr. Assoc. 2020, 59, 2–12. [Google Scholar] [CrossRef] [Green Version]
- Riemann, D.; Baglioni, C.; Bassetti, C.; Bjorvatn, B.; Dolenc Groselj, L.; Ellis, J.G.; Espie, C.A.; Garcia-Borreguero, D.; Gjerstad, M.; Gonçalves, M. European guideline for the diagnosis and treatment of insomnia. J. Sleep Res. 2017, 26, 675–700. [Google Scholar] [CrossRef]
- Sateia, M.J.; Buysse, D.J.; Krystal, A.D.; Neubauer, D.N.; Heald, J.L. Clinical Practice Guideline for the Pharmacologic Treatment of Chronic Insomnia in Adults: An American Academy of Sleep Medicine Clinical Practice Guideline. J. Clin. Sleep Med. 2017, 13, 307–349. [Google Scholar] [CrossRef]
- Everitt, H.; McDermott, L.; Leydon, G.; Yules, H.; Baldwin, D.; Little, P. GPs’ management strategies for patients with insomnia: A survey and qualitative interview study. Br. J. Gen. Pract. 2014, 64, e112–e119. [Google Scholar] [CrossRef] [Green Version]
- Gooneratne, N.S. Complementary and alternative medicine for sleep disturbances in older adults. Clin. Geriatr. Med. 2008, 24, 121–138. [Google Scholar] [CrossRef] [Green Version]
- Abdellah, S.A.; Berlin, A.; Blondeau, C.; Guinobert, I.; Guilbot, A.; Beck, M.; Duforez, F. A combination of Eschscholtzia californica Cham. and Valeriana officinalis L. extracts for adjustment insomnia: A prospective observational study. J. Tradit. Complement. Med. 2020, 10, 116–123. [Google Scholar] [CrossRef]
- Cheng, B.; Liu, Y.; Tian, J.; Gao, R.; Liu, Y. Complementary and alternative medicine for the treatment of insomnia: An overview of scientific evidence from 2008 to 2018. Curr. Vasc. Pharmacol. 2020, 18, 307–321. [Google Scholar] [CrossRef] [PubMed]
- Pearson, N.J.; Johnson, L.L.; Nahin, R.L. Insomnia, trouble sleeping, and complementary and alternative medicine: Analysis of the 2002 national health interview survey data. Arch. Intern. Med. 2006, 166, 1775–1782. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Hieu, T.H.; Dibas, M.; Surya Dila, K.A.; Sherif, N.A.; Hashmi, M.U.; Mahmoud, M.; Trang, N.T.T.; Abdullah, L.; Nghia, T.L.B.; Hirayama, K. Therapeutic efficacy and safety of chamomile for state anxiety, generalized anxiety disorder, insomnia, and sleep quality: A systematic review and meta-analysis of randomized trials and quasi-randomized trials. Phytother. Res. 2019, 33, 1604–1615. [Google Scholar] [CrossRef] [PubMed]
- Son, C.; Lim, Y.C.; Lee, Y.S.; Lim, J.H.; Kim, B.K.; Ha, I.H. Analysis of Medical Services for Insomnia in Korea: A Retrospective, Cross-Sectional Study Using the Health Insurance Review and Assessment Claims Data. Healthcare 2021, 10, 7. [Google Scholar] [CrossRef]
- Jung, I.-H.; Kwon, C.-Y.; Kim, J.-W.; Chung, S.Y. Clinical Effect of Herbal Medicine Treatment on Insomnia in a Public Health Center. J. Orient. Neuropsychiatr. 2017, 28, 419–429. [Google Scholar]
- Lim, J.-H.; Jeong, J.-H.; Kim, S.-H.; Kim, K.-O.; Lee, S.-Y.; Lee, S.-H.; Kim, B.-K. The Pilot Survey of the Perception on the Practice Pattern, Diagnosis, and Treatment on Korean Medicine Insomnia: Focusing on the Difference between Korean Medical Neuropsychiatry Specialists and Korean Medical General Practitioners. Evid. Based Complement. Alternat. Med. 2018, 2018, 9152705. [Google Scholar] [CrossRef] [Green Version]
- Park, H.; Hwang, Y.-H.; Yang, H.J.; Kim, H.-K.; Song, K.S.; Ma, J.Y. Acute toxicity and genotoxicity study of fermented traditional herb formula Guibi-tang. J. Ethnopharmacol. 2014, 156, 182–189. [Google Scholar] [CrossRef]
- Yeung, W.F.; Chung, K.F.; Poon, M.M.; Ho, F.Y.; Zhang, S.P.; Zhang, Z.J.; Ziea, E.T.; Wong, V.T. Chinese herbal medicine for insomnia: A systematic review of randomized controlled trials. Sleep Med. Rev. 2012, 16, 497–507. [Google Scholar] [CrossRef]
- Li, M.; Lan, R.; Wen, Y.; Shi, K.; Yang, D. Guipi decoction for insomnia: Systematic review and meta-analysis. Medicine 2020, 99, e21031. [Google Scholar] [CrossRef]
- Lim, B. Korean medicine coverage in the National Health Insurance in Korea: Present situation and critical issues. Integr. Med. Res. 2013, 2, 81–88. [Google Scholar] [CrossRef] [Green Version]
- Korea Institute of Oriental Medicine (KIOM). Research for Herbal Medicine Standard Prescription of Reasonable Improvement Plan (2014). Available online: https://policy.kiom.re.kr/sub0401/articles/view/tableid/sub0301-board/page/21/id/313 (accessed on 22 July 2022).
- Huang, C.-W.; Hwang, I.H.; Yun, Y.-H.; Jang, B.-H.; Chen, F.-P.; Hwang, S.-J.; Ko, S.-G. Population-based comparison of traditional medicine use in adult patients with allergic rhinitis between South Korea and Taiwan. J. Chin. Med. Assoc. 2018, 81, 708–713. [Google Scholar] [CrossRef] [PubMed]
- Hyun, E.; Lim, B. The National Health Insurance Scheme for Herbal Medicines in Japan. J. Soc. Prev. Korean Med. 2022, 26, 25–41. [Google Scholar]
- Jeong, W.S.; Shin, W.C.; Hong, I.H.; Choi, J.U.; Kim, Y.-K. A survey on additional needs for herbal preparations in national health insurance service. Herb. Formula Sci. 2017, 25, 375–390. [Google Scholar]
- Son, C.-H.; Kim, Y.H.; Lim, S. A study on Korean Oriental Medical Doctors’ Use of Uninsured Herbal Extracts and How to Promote the Insurance Coverage of Such Herbal Extracts. J Korean Med. 2009, 30, 64–78. [Google Scholar]
- Lee, J.Y.; Oh, H.K.; Ryu, H.S.; Yoon, S.S.; Eo, W.; Yoon, S.W. Efficacy and Safety of the Traditional Herbal Medicine, Gamiguibi-tang, in Patients with Cancer-Related Sleep Disturbance: A Prospective, Randomized, Wait-List-Controlled, Pilot Study. Integr. Cancer Ther. 2018, 17, 524–530. [Google Scholar] [CrossRef]
- Choi, Y.; Kim, Y.; Kwon, O.; Chung, S.-Y.; Cho, S.-H. Effect of herbal medicine (Huanglian-jie-du granule) for somatic symptoms and insomnia in patients with Hwa-byung: A randomized controlled trial. Integr. Med. Res. 2021, 10, 100453. [Google Scholar] [CrossRef]
- Lee, Y.K.; Nam, H.S.; Chuang, L.H.; Kim, K.Y.; Yang, H.K.; Kwon, I.S.; Kind, P.; Kweon, S.-S.; Kim, Y.-T. South Korean time trade-off values for EQ-5D health states: Modeling with observed values for 101 health states. Value Health 2009, 12, 1187–1193. [Google Scholar] [CrossRef] [Green Version]
- Bastien, C.H.; Vallières, A.; Morin, C.M. Validation of the Insomnia Severity Index as an outcome measure for insomnia research. Sleep Med. 2001, 2, 297–307. [Google Scholar] [CrossRef]
- Cho, Y.W.; Song, M.L.; Morin, C.M. Validation of a Korean version of the insomnia severity index. J. Clin. Neurol. 2014, 10, 210–215. [Google Scholar] [CrossRef] [Green Version]
- Buysse, D.J.; Reynolds, C.F., III; Monk, T.H.; Berman, S.R.; Kupfer, D.J. The Pittsburgh Sleep Quality Index: A new instrument for psychiatric practice and research. Psychiatry Res. 1989, 28, 193–213. [Google Scholar] [CrossRef]
- Sohn, S.I.; Kim, D.H.; Lee, M.Y.; Cho, Y.W. The reliability and validity of the Korean version of the Pittsburgh Sleep Quality Index. Sleep Breath 2012, 16, 803–812. [Google Scholar] [CrossRef] [PubMed]
- Reilly, M.C.; Zbrozek, A.S.; Dukes, E.M. The validity and reproducibility of a work productivity and activity impairment instrument. Pharmacoeconomics 1993, 4, 353–365. [Google Scholar] [CrossRef] [PubMed]
- Espie, C.A.; Pawlecki, B.; Waterfield, D.; Fitton, K.; Radocchia, M.; Luik, A.I. Insomnia symptoms and their association with workplace productivity: Cross-sectional and pre-post intervention analyses from a large multinational manufacturing company. Sleep Health 2018, 4, 307–312. [Google Scholar] [CrossRef] [PubMed]
- Reilly Associates. WPAI Scoring. Available online: http://www.reillyassociates.net/WPAI_Scoring.html (accessed on 18 August 2021).
- Lee, T.J.; Shin, S.J.; Song, H.J.; Park, J.Y.; Jung, Y.J.; Bae, E.Y.; Kim, Y.H.; Song, H.J. Costing Method in Healthcare; National Evidence-based Healthcare Collaborating Agency: Seoul, Korea, 2013. [Google Scholar]
- Statistics Korea. Consumer Price Survey (index). Available online: https://kosis.kr/statHtml/statHtml.do?orgId=101&tblId=DT_1J17001&conn_path=I2 (accessed on 15 May 2021).
- KOSIS. Monthly Average Wage and Increase/Decrease by Labor Type. Available online: https://kosis.kr/statHtml/statHtml.do?orgId=101&tblId=DT_1DE7082S&conn_path=I2 (accessed on 21 March 2022).
- Korea e-Briefing. Result of Development of Household Production Satellite Account (Value Evaluation of Unpaid Housework). Available online: https://www.korea.kr/news/policyBriefingView.do?newsId=156297734 (accessed on 18 August 2021).
- Statistics Korea. Household Production Satellite Account; Statistics Korea: Daejeon, Korea, 2021.
- Statistics Korea. 2019 Time Use Survey Data; Statistics Korea: Daejeon, Korea, 2020.
- Wickwire, E.M.; Morin, C.M. Advancing a value framework for sleep: Update on economic aspects of cognitive-behavioral treatments for insomnia. Sleep Med. Rev. 2020, 54, 101387. [Google Scholar] [CrossRef]
- Moline, M.; daCosta DiBonaventura, M.; Shah, D.; Ben-Joseph, R. Impact of middle-of-the-night awakenings on health status, activity impairment, and costs. Nat. Sci. Sleep 2014, 6, 101–111. [Google Scholar]
- Thiart, H.; Ebert, D.D.; Lehr, D.; Nobis, S.; Buntrock, C.; Berking, M.; Smit, F.; Riper, H. Internet-Based Cognitive Behavioral Therapy for Insomnia: A Health Economic Evaluation. Sleep 2016, 39, 1769–1778. [Google Scholar] [CrossRef] [PubMed]
- Snedecor, S.J.; Botteman, M.F.; Bojke, C.; Schaefer, K.; Barry, N.; Pickard, A.S. Cost-effectiveness of eszopiclone for the treatment of adults with primary chronic insomnia. Sleep 2009, 32, 817–824. [Google Scholar] [CrossRef] [Green Version]
- Baka, A.; van der Zweerde, T.; Lancee, J.; Bosmans, J.E.; van Straten, A. Cost-effectiveness of Guided Internet-Delivered Cognitive Behavioral Therapy in Comparison with Care-as-Usual for Patients with Insomnia in General Practice. Behav. Sleep Med. 2022, 20, 188–203. [Google Scholar] [CrossRef]
- Morin, C.M.; LeBlanc, M.; Daley, M.; Gregoire, J.P.; Mérette, C. Epidemiology of insomnia: Prevalence, self-help treatments, consultations, and determinants of help-seeking behaviors. Sleep Med. 2006, 7, 123–130. [Google Scholar] [CrossRef]
- Leger, D.; Poursain, B. An international survey of insomnia: Under-recognition and under-treatment of a polysymptomatic condition. Curr. Med. Res. Opin. 2005, 21, 1785–1792. [Google Scholar] [CrossRef]
- Stinson, K.; Tang, N.K.; Harvey, A.G. Barriers to treatment seeking in primary insomnia in the United Kingdom: A cross-sectional perspective. Sleep 2006, 29, 1643–1646. [Google Scholar] [CrossRef] [PubMed]
- OECD. “Mental health” in Health at a Glance 2021: OECD Indicators; OECD Publishing: Paris, France, 2021. [Google Scholar]
- Kim, S.; Son, H.-G.; Lee, S.; Park, H.; Jeong, K.-H. A Study on the Relationship between Depression Change Types and Suicide Ideation before and after COVID-19. Healthcare 2022, 10, 1610. [Google Scholar] [CrossRef] [PubMed]
- Ministry of Health & Welfare. Health Care Quality at a OECD Health at a Glance 2021. Available online: http://www.mohw.go.kr/react/al/sal0301vw.jsp?PAR_MENU_ID=04&MENU_ID=0403&page=1&CONT_SEQ=368613 (accessed on 20 August 2022).
GGBT (n = 56) | HHT (n = 25) | p-Value 1 | |
---|---|---|---|
Age (mean ± SD) | 61.96 ± 12.99 | 56.04 ± 15.93 | 0.081 |
19–29 [n(%)] | 3 (5.4%) | 3 (12%) | |
30–39 | 3 (5.4%) | 1 (4%) | |
40–49 | 1 (1.8%) | 3 (12%) | |
50–59 | 6 (10.7%) | 4 (16%) | |
60–61 | 29 (51.8%) | 10 (40%) | |
70+ | 14 (25%) | 4 (16%) | |
Sex [n(%)] | |||
Male | 22 (39.3%) | 11 (44.0%) | 0.690 |
Female | 34 (60.7%) | 14 (56.0%) | |
Smoking [n(%)] | |||
Yes | 5 (8.9%) | 3 (12.0%) | 0.669 |
No | 51 (91.1%) | 22 (88.0%) | |
Drinking [n(%)] | |||
Yes | 16 (28.6%) | 6 (24.0%) | 0.669 |
No | 40 (71.4%) | 19 (76.0%) | |
Exercise [n(%)] | |||
Yes | 47 (83.9%) | 20 (80.0%) | 0.666 |
No | 9 (16.1%) | 5 (20.0%) | |
Prescribed hypnotics [n(%)] | |||
Yes | 19 (33.9%) | 5 (20%) | 0.205 |
No | 37 (66.1%) | 20 (80%) | |
EQ-5D score (mean ± SD) | 0.848 ± 0.117 | 0.869 ± 0.104 | 0.449 |
ISI score (mean ± SD) | 18.20 ± 4.08 | 18.28 ± 4.84 | 0.936 |
PSQI score (mean ± SD) | 12.77 ± 2.98 | 11.96 ± 3.22 | 0.275 |
WPAI Work productivity loss (mean ± SD) 2 | 0.407 ± 0.21 | 0.367 ± 0.06 | 0.804 |
WPAI Activity impairment (mean ± SD) 3 | 0.489 ± 0.22 | 0.530 ± 0.19 | 0.407 |
GGBT (n = 56) | HHT (n = 25) | p-Value 2 | ||||||
---|---|---|---|---|---|---|---|---|
Mean | SD | p-Value 1 | Mean | SD | p-Value 1 | |||
EQ-5D (range −0.171–1) | Baseline | 0.848 | 0.117 | 0.869 | 0.104 | |||
3 weeks | 0.869 | 0.136 | 0.858 | 0.106 | ||||
Change (95% CI) 3 | 0.021 (−0.00, 0.05) | 0.096 | 0.104 | −0.010 (−0.03, 0.02) | 0.068 | 0.465 | 0.100 | |
6 weeks | 0.870 | 0.128 | 0.838 | 0.166 | ||||
Change (95% CI) 3 | 0.022 (−0.00, 0.05) | 0.098 | 0.092 | −0.031(−0.08, 0.01) | 0.108 | 0.165 | 0.031 | |
ISI (range 0–28) | Baseline | 18.20 | 4.08 | 18.28 | 4.84 | |||
3 weeks | 12.09 | 5.19 | 12.76 | 4.54 | ||||
Change (95% CI) 3 | 6.11 (4.75, 7.50) | 5.20 | 0.000 | 5.52 (3.58, 7.47) | 4.71 | 0.000 | 0.631 | |
6 weeks | 11.82 | 4.82 | 13.33 | 4.67 | ||||
Change (95% CI) 3 | 6.38 (5.06, 7.69) | 4.93 | 0.000 | 5.08 (2.71, 7.46) | 5.62 | 0.000 | 0.306 | |
PSQI (range 0–21) | Baseline | 12.77 | 2.99 | 11.96 | 3.22 | |||
3 weeks | 11.09 | 3.57 | 10.24 | 2.98 | ||||
Change (95% CI) 3 | 1.68 (0.85, 2.51) | 3.10 | 0.000 | 1.72 (0.71, 2.73) | 2.44 | 0.002 | 0.953 | |
6 weeks | 10.75 | 3.62 | 10.42 | 3.22 | ||||
Change (95% CI) 3 | 2.02 (1.17, 2.87) | 3.18 | 0.000 | 1.71 (0.24, 3.18) | 3.48 | 0.025 | 0.699 | |
WPAI Overall work productivity loss 4 (range 0–1) | Baseline | 0.407 | 0.21 | 0.367 | 0.06 | |||
3 weeks | 0.249 | 0.16 | 0.333 | 0.32 | ||||
Change (95% CI) 3 | 0.158 (0.05, 0.26) | 0.19 | 0.008 | 0.033 (−0.73, 0.79) | 0.31 | 0.785 | 0.675 | |
6 weeks | 0.223 | 0.18 | 0.300 | 0.17 | ||||
Change (95% CI) 3 | 0.185 (0.10, 0.27) | 0.16 | 0.002 | 0.067 (−0.31, 0.45) | 0.15 | 0.414 | 0.357 | |
WPAI Activity impairment 5 (range 0–1) | Baseline | 0.489 | 0.22 | 0.530 | 0.19 | |||
3 weeks | 0.318 | 0.19 | 0.426 | 0.22 | ||||
Change (95% CI) 3 | 0.171 (0.12, 0.23) | 0.21 | 0.000 | 0.104 (0.04, 0.17) | 0.16 | 0.004 | 0.169 | |
6 weeks | 0.354 | 0.24 | 0.417 | 0.19 | ||||
Change (95% CI) 3 | 0.136 (0.07, 0.20) | 0.24 | 0.000 | 0.113 (0.02, 0.20) | 0.20 | 0.016 | 0.694 |
GGBT | HHT | Difference | |
---|---|---|---|
Utility (mean (SD)) | |||
QALY (reference 0.1154) 1 | 0.0997 (0.01) | 0.0987 (0.13) | 0.0010 |
Costs (1000 KRW (2021)) | |||
(1) Direct medical cost | 339 | 244 | 96 |
(2) Direct non-medical cost | 11 | 11 | - |
(3) Work productivity loss cost | 232 | 312 | −79 |
(4) Daily activity impairment cost | 486 | 610 | −124 |
Total costs (base model) 2 | 1069 | 1177 | −108 |
Total costs (model A) 3 | 583 | 567 | 16 |
Total costs (model B) 4 | 351 | 255 | 96 |
ACER, 1000 KRW per QALYs (USD per QALY) 1 | ICER, 1000 KRW per QALYs (USD per QALYs) 1 | ||
---|---|---|---|
Perspective | GGBT | HHT | |
Base model 2 | 10,722 ($9372) | 11,920 ($10,420) | Dominant |
Model A 3 | 5848 ($5112) | 5739 ($5016) | 17,211 ($15,045) |
Model B 4 | 3516 ($3074) | 2582 ($2257) | 100,420 ($87,780) |
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Lee, J.-E.; Jung, I.-C.; Lee, S.-Y.; Lim, J.-H.; Kim, B.-K.; Cho, E. The Cost-Effectiveness Analysis of Gamiguibi-Tang versus Hwangryunhaedok-Tang for Patients with Insomnia Disorder Based on a Randomized Controlled Trial. Healthcare 2022, 10, 2157. https://doi.org/10.3390/healthcare10112157
Lee J-E, Jung I-C, Lee S-Y, Lim J-H, Kim B-K, Cho E. The Cost-Effectiveness Analysis of Gamiguibi-Tang versus Hwangryunhaedok-Tang for Patients with Insomnia Disorder Based on a Randomized Controlled Trial. Healthcare. 2022; 10(11):2157. https://doi.org/10.3390/healthcare10112157
Chicago/Turabian StyleLee, Ji-Eun, In-Chul Jung, So-Young Lee, Jung-Hwa Lim, Bo-Kyung Kim, and Eun Cho. 2022. "The Cost-Effectiveness Analysis of Gamiguibi-Tang versus Hwangryunhaedok-Tang for Patients with Insomnia Disorder Based on a Randomized Controlled Trial" Healthcare 10, no. 11: 2157. https://doi.org/10.3390/healthcare10112157
APA StyleLee, J.-E., Jung, I.-C., Lee, S.-Y., Lim, J.-H., Kim, B.-K., & Cho, E. (2022). The Cost-Effectiveness Analysis of Gamiguibi-Tang versus Hwangryunhaedok-Tang for Patients with Insomnia Disorder Based on a Randomized Controlled Trial. Healthcare, 10(11), 2157. https://doi.org/10.3390/healthcare10112157