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Gallehzan NA, Khosravi M, Jamebozorgi K, Mir N, Jalilian H, Soleimanpour S, Hoseini S, Rezapour A, Eshraghi A. Cost-utility and cost-effectiveness analysis of disease-modifying drugs of relapsing-remitting multiple sclerosis: a systematic review. HEALTH ECONOMICS REVIEW 2024; 14:12. [PMID: 38363408 PMCID: PMC10870486 DOI: 10.1186/s13561-024-00478-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/25/2023] [Accepted: 01/11/2024] [Indexed: 02/17/2024]
Abstract
BACKGROUND Multiple sclerosis (MS) is a chronic, autoimmune, and inflammatory disease. The economic burden of MS is substantial, and the high cost of Disease-modifying drugs (DMDs) prices are the main drivers of healthcare expenditures. We conducted a systematic review of studies evaluating the cost-utility and cost-effectiveness of DMDs for relapsing-remitting multiple sclerosis (RRMS). MATERIALS AND METHOD Searches were conducted in PubMed, Web of Science, Scopus, and Embase. The search covered articles published between May 2001 and May 2023. Studies that were written in English and Persian and examined the cost-utility and cost-effectiveness of DMDs in patients with MS were included in our review. Data extraction was guided by the Consolidated Health Economic Evaluation Reporting Standards (CHEERS) checklist, and the quality of economic evaluations was assessed using the Quality of Health Economics Studies Instrument (QHES). All costs were converted to 2020 U.S. dollars using Purchasing Power Parity (PPP). RESULTS The search yielded 1589 studies, and 49 studies were eligible for inclusion. The studies were mainly based on a European setting. Most studies employed Markov model to assess the cost-effectiveness. The lowest and highest numerical value of outcome measures were -1,623,918 and 2,297,141.53, respectively. Furthermore, the lowest and highest numerical value of the cost of DMDs of RRMS were $180.67, and $1474840.19, respectively. CONCLUSIONS Based on the results of all studies, it can be concluded that for the treatment of patients with MS, care-oriented strategies should be preferred to drug strategies. Also, among the drug strategies with different prescribing methods, oral disease-modifying drugs of RRMS should be preferred to injectable drugs and intravenous infusions.
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Affiliation(s)
- Nasrin Abulhasanbeigi Gallehzan
- Health Management and Economics Research Center, Health Management Research Institute, Iran University of Medical Sciences, Tehran, Iran
| | - Majid Khosravi
- Health Management and Economics Research Center, Health Management Research Institute, Iran University of Medical Sciences, Tehran, Iran.
| | | | - Nazanin Mir
- Health Management and Economics Research Center, Health Management Research Institute, Iran University of Medical Sciences, Tehran, Iran
| | - Habib Jalilian
- Department of Health Services Management, School of Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Samira Soleimanpour
- Department of Medical Library and Information Science, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran
| | - Saeed Hoseini
- Health Management and Economics Research Center, Health Management Research Institute, Iran University of Medical Sciences, Tehran, Iran
| | - Aziz Rezapour
- Health Management and Economics Research Center, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran
| | - Abbas Eshraghi
- Student Research Committee, Tabriz University of Medical Sciences, Tabriz, Iran
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2
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Spelman T, Herring WL, Acosta C, Hyde R, Jokubaitis VG, Pucci E, Lugaresi A, Laureys G, Havrdova EK, Horakova D, Izquierdo G, Eichau S, Ozakbas S, Alroughani R, Kalincik T, Duquette P, Girard M, Petersen T, Patti F, Csepany T, Granella F, Grand'Maison F, Ferraro D, Karabudak R, Jose Sa M, Trojano M, van Pesch V, Van Wijmeersch B, Cartechini E, McCombe P, Gerlach O, Spitaleri D, Rozsa C, Hodgkinson S, Bergamaschi R, Gouider R, Soysal A, Castillo-Triviño, Prevost J, Garber J, de Gans K, Ampapa R, Simo M, Sanchez-Menoyo JL, Iuliano G, Sas A, van der Walt A, John N, Gray O, Hughes S, De Luca G, Onofrj M, Buzzard K, Skibina O, Terzi M, Slee M, Solaro C, Oreja-Guevara, Ramo-Tello C, Fragoso Y, Shaygannejad V, Moore F, Rajda C, Aguera Morales E, Butzkueven H. Comparative effectiveness and cost-effectiveness of natalizumab and fingolimod in rapidly evolving severe relapsing-remitting multiple sclerosis in the United Kingdom. J Med Econ 2024; 27:109-125. [PMID: 38085684 DOI: 10.1080/13696998.2023.2293379] [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: 07/28/2023] [Accepted: 12/07/2023] [Indexed: 12/23/2023]
Abstract
AIM To evaluate the real-world comparative effectiveness and the cost-effectiveness, from a UK National Health Service perspective, of natalizumab versus fingolimod in patients with rapidly evolving severe relapsing-remitting multiple sclerosis (RES-RRMS). METHODS Real-world data from the MSBase Registry were obtained for patients with RES-RRMS who were previously either naive to disease-modifying therapies or had been treated with interferon-based therapies, glatiramer acetate, dimethyl fumarate, or teriflunomide (collectively known as BRACETD). Matched cohorts were selected by 3-way multinomial propensity score matching, and the annualized relapse rate (ARR) and 6-month-confirmed disability worsening (CDW6M) and improvement (CDI6M) were compared between treatment groups. Comparative effectiveness results were used in a cost-effectiveness model comparing natalizumab and fingolimod, using an established Markov structure over a lifetime horizon with health states based on the Expanded Disability Status Scale. Additional model data sources included the UK MS Survey 2015, published literature, and publicly available sources. RESULTS In the comparative effectiveness analysis, we found a significantly lower ARR for patients starting natalizumab compared with fingolimod (rate ratio [RR] = 0.65; 95% confidence interval [CI], 0.57-0.73) or BRACETD (RR = 0.46; 95% CI, 0.42-0.53). Similarly, CDI6M was higher for patients starting natalizumab compared with fingolimod (hazard ratio [HR] = 1.25; 95% CI, 1.01-1.55) and BRACETD (HR = 1.46; 95% CI, 1.16-1.85). In patients starting fingolimod, we found a lower ARR (RR = 0.72; 95% CI, 0.65-0.80) compared with starting BRACETD, but no difference in CDI6M (HR = 1.17; 95% CI, 0.91-1.50). Differences in CDW6M were not found between the treatment groups. In the base-case cost-effectiveness analysis, natalizumab dominated fingolimod (0.302 higher quality-adjusted life-years [QALYs] and £17,141 lower predicted lifetime costs). Similar cost-effectiveness results were observed across sensitivity analyses. CONCLUSIONS This MSBase Registry analysis suggests that natalizumab improves clinical outcomes when compared with fingolimod, which translates to higher QALYs and lower costs in UK patients with RES-RRMS.
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Affiliation(s)
- T Spelman
- MSBase Foundation, Melbourne, VIC, Australia
- Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden
| | - W L Herring
- Health Economics, RTI Health Solutions, NC, USA
- Department of Neurobiology, Care Sciences and Society, Karolinska Institute, Stockholm, Sweden
| | - C Acosta
- Value and Access, Biogen, Baar, Switzerland
| | - R Hyde
- Medical, Biogen, Baar, Switzerland
| | - V G Jokubaitis
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Australia
| | - E Pucci
- Neurology Unit, AST-Fermo, Fermo, Italy
| | - A Lugaresi
- Dipartamento di Scienze Biomediche e Neuromotorie, Università di Bologna, Bologna, Italy
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
| | - G Laureys
- Department of Neurology, University Hospital Ghent, Ghent, Belgium
| | - E K Havrdova
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - D Horakova
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - G Izquierdo
- Department of Neurology, Hospital Universitario Virgen Macarena, Seville, Spain
| | - S Eichau
- Department of Neurology, Hospital Universitario Virgen Macarena, Seville, Spain
| | - S Ozakbas
- Izmir University of Economics, Medical Point Hospital, Izmir, Turkey
| | - R Alroughani
- Division of Neurology, Department of Medicine, Amiri Hospital, Sharq, Kuwait
| | - T Kalincik
- Neuroimmunology Centre, Department of Neurology, Royal Melbourne Hospital, Melbourne, Australia
- CORe, Department of Medicine, University of Melbourne, Melbourne, Australia
| | - P Duquette
- CHUM and Universite de Montreal, Montreal, Canada
| | - M Girard
- CHUM and Universite de Montreal, Montreal, Canada
| | - T Petersen
- Aarhus University Hospital, Arhus C, Denmark
| | - F Patti
- Department of Medical and Surgical Sciences and Advanced Technologies, GF Ingrassia, Catania, Italy
- UOS Sclerosi Multipla, AOU Policlinico "G Rodloico-San Marco", University of Catania, Italy
| | - T Csepany
- Department of Neurology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary
| | - F Granella
- Department of Medicine and Surgery, University of Parma, Parma, Italy
- Department of General Medicine, Parma University Hospital, Parma, Italy
| | | | - D Ferraro
- Department of Neuroscience, Azienda Ospedaliera Universitaria, Modena, Italy
| | | | - M Jose Sa
- Department of Neurology, Centro Hospitalar Universitario de Sao Joao, Porto, Portugal
- Faculty of Health Sciences, University Fernando Pessoa, Porto, Portugal
| | - M Trojano
- School of Medicine, University of Bari, Bari, Italy
| | - V van Pesch
- Cliniques Universitaires Saint-Luc, Brussels, Belgium
- Université Catholique de Louvain, Belgium
| | - B Van Wijmeersch
- University MS Centre, Hasselt-Pelt and Noorderhart Rehabilitation & MS, Pelt and Hasselt University, Hasselt, Belgium
| | | | - P McCombe
- University of Queensland, Brisbane, Australia
- Royal Brisbane and Women's Hospital, Herston, Australia
| | - O Gerlach
- Academic MS Center Zuyd, Department of Neurology, Zuyderland Medical Center, Sittard-Geleen, The Netherlands
- School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands
| | - D Spitaleri
- Azienda Ospedaliera di Rilievo Nazionale San Giuseppe Moscati Avellino, Avellino, Italy
| | - C Rozsa
- Jahn Ferenc Teaching Hospital, Budapest, Hungary
| | - S Hodgkinson
- Immune Tolerance Laboratory Ingham Institute and Department of Medicine, UNSW, Sydney, Australia
| | | | - R Gouider
- Department of Neurology, LR18SP03 and Clinical Investigation Center Neurosciences and Mental Health, Razi University Hospital -, Mannouba, Tunis, Tunisia
- Faculty of Medicine of Tunis, University of Tunis El Manar, Tunis, Tunisia
| | - A Soysal
- Bakirkoy Education and Research Hospital for Psychiatric and Neurological Diseases, Istanbul, Turkey
| | - Castillo-Triviño
- Hospital Universitario Donostia and IIS Biodonostia, San Sebastián, Spain
| | - J Prevost
- CSSS Saint-Jérôme, Saint-Jerome, Canada
| | - J Garber
- Westmead Hospital, Sydney, Australia
| | - K de Gans
- Groene Hart Ziekenhuis, Gouda, Netherlands
| | - R Ampapa
- Nemocnice Jihlava, Jihlava, Czech Republic
| | - M Simo
- Department of Neurology, Semmelweis University Budapest, Budapest, Hungary
| | - J L Sanchez-Menoyo
- Department of Neurology, Galdakao-Usansolo University Hospital, Osakidetza Basque Health Service, Galdakao, Spain
- Biocruces-Bizkaia Health Research Institute, Spain
| | - G Iuliano
- Ospedali Riuniti di Salerno, Salerno, Italy
| | - A Sas
- Department of Neurology and Stroke, BAZ County Hospital, Miskolc, Hungary
| | - A van der Walt
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Australia
- Department of Neurology, The Alfred Hospital, Melbourne, Australia
| | - N John
- Monash University, Clayton, Australia
- Department of Neurology, Monash Health, Clayton, Australia
| | - O Gray
- South Eastern HSC Trust, Belfast, United Kingdom
| | - S Hughes
- Royal Victoria Hospital, Belfast, United Kingdom
| | - G De Luca
- MS Centre, Neurology Unit, "SS. Annunziata" University Hospital, University "G. d'Annunzio", Chieti, Italy
| | - M Onofrj
- Department of Neuroscience, Imaging, and Clinical Sciences, University G. d'Annunzio, Chieti, Italy
| | - K Buzzard
- Department of Neurosciences, Box Hill Hospital, Melbourne, Australia
- Monash University, Melbourne, Australia
- MS Centre, Royal Melbourne Hospital, Melbourne, Australia
| | - O Skibina
- Department of Neurology, The Alfred Hospital, Melbourne, Australia
- Monash University, Melbourne, Australia
- Department of Neurology, Box Hill Hospital, Melbourne, Australia
| | - M Terzi
- Medical Faculty, 19 Mayis University, Samsun, Turkey
| | - M Slee
- Flinders University, Adelaide, Australia
| | - C Solaro
- Department of Neurology, ASL3 Genovese, Genova, Italy
- Department of Rehabilitation, ML Novarese Hospital Moncrivello
| | - Oreja-Guevara
- Department of Neurology, Hospital Clinico San Carlos, Madrid, Spain
| | - C Ramo-Tello
- Department of Neuroscience, Hospital Germans Trias i Pujol, Badalona, Spain
| | - Y Fragoso
- Universidade Metropolitana de Santos, Santos, Brazil
| | | | - F Moore
- Department of Neurology, McGill University, Montreal, Canada
| | - C Rajda
- Department of Neurology, University of Szeged, Szeged, Hungary
| | - E Aguera Morales
- Department of Medicine and Surgery, University of Cordoba, Cordoba, Spain
- Maimonides Biomedical Research Institute of Cordoba (IMIBIC)
| | - H Butzkueven
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Australia
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Spelman T, Herring WL, Zhang Y, Tempest M, Pearson I, Freudensprung U, Acosta C, Dort T, Hyde R, Havrdova E, Horakova D, Trojano M, De Luca G, Lugaresi A, Izquierdo G, Grammond P, Duquette P, Alroughani R, Pucci E, Granella F, Lechner-Scott J, Sola P, Ferraro D, Grand'Maison F, Terzi M, Rozsa C, Boz C, Hupperts R, Van Pesch V, Oreja-Guevara C, van der Walt A, Jokubaitis VG, Kalincik T, Butzkueven H. Comparative Effectiveness and Cost-Effectiveness of Natalizumab and Fingolimod in Patients with Inadequate Response to Disease-Modifying Therapies in Relapsing-Remitting Multiple Sclerosis in the United Kingdom. PHARMACOECONOMICS 2022; 40:323-339. [PMID: 34921350 PMCID: PMC8866337 DOI: 10.1007/s40273-021-01106-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Accepted: 10/12/2021] [Indexed: 06/14/2023]
Abstract
BACKGROUND Patients with highly active relapsing-remitting multiple sclerosis inadequately responding to first-line therapies (interferon-based therapies, glatiramer acetate, dimethyl fumarate, and teriflunomide, known collectively as "BRACETD") often switch to natalizumab or fingolimod. OBJECTIVE The aim was to estimate the comparative effectiveness of switching to natalizumab or fingolimod or within BRACETD using real-world data and to evaluate the cost-effectiveness of switching to natalizumab versus fingolimod using a United Kingdom (UK) third-party payer perspective. METHODS Real-world data were obtained from MSBase for patients relapsing on BRACETD in the year before switching to natalizumab or fingolimod or within BRACETD. Three-way-multinomial-propensity-score-matched cohorts were identified, and comparisons between treatment groups were conducted for annualised relapse rate (ARR) and 6-month-confirmed disability worsening (CDW6M) and improvement (CDI6M). Results were applied in a cost-effectiveness model over a lifetime horizon using a published Markov structure with health states based on the Expanded Disability Status Scale. Other model parameters were obtained from the UK MS Survey 2015, published literature, and publicly available UK sources. RESULTS The MSBase analysis found a significant reduction in ARR (rate ratio [RR] = 0.64; 95% confidence interval [CI] 0.57-0.72; p < 0.001) and an increase in CDI6M (hazard ratio [HR] = 1.67; 95% CI 1.30-2.15; p < 0.001) for switching to natalizumab compared with BRACETD. For switching to fingolimod, the reduction in ARR (RR = 0.91; 95% CI 0.81-1.03; p = 0.133) and increase in CDI6M (HR = 1.30; 95% CI 0.99-1.72; p = 0.058) compared with BRACETD were not significant. Switching to natalizumab was associated with a significant reduction in ARR (RR = 0.70; 95% CI 0.62-0.79; p < 0.001) and an increase in CDI6M (HR = 1.28; 95% CI 1.01-1.62; p = 0.040) compared to switching to fingolimod. No evidence of difference in CDW6M was found between treatment groups. Natalizumab dominated (higher quality-adjusted life-years [QALYs] and lower costs) fingolimod in the base-case cost-effectiveness analysis (0.453 higher QALYs and £20,843 lower costs per patient). Results were consistent across sensitivity analyses. CONCLUSIONS This novel real-world analysis suggests a clinical benefit for therapy escalation to natalizumab versus fingolimod based on comparative effectiveness results, translating to higher QALYs and lower costs for UK patients inadequately responding to BRACETD.
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Affiliation(s)
- Timothy Spelman
- Department of Neuroscience, Central Clinical School Alfred Hospital, Monash University, Melbourne, VIC, Australia
| | | | - Yuanhui Zhang
- RTI Health Solutions, Research Triangle Park, NC, USA
| | | | | | | | - Carlos Acosta
- Value and Market Access, Biogen International GmbH, Neuhofstrasse 30, 6340, Baar, Switzerland.
| | - Thibaut Dort
- Value and Market Access, Biogen International GmbH, Neuhofstrasse 30, 6340, Baar, Switzerland
| | | | - Eva Havrdova
- Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, General University Hospital and Charles University, Prague, Czech Republic
| | - Dana Horakova
- Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, General University Hospital and Charles University, Prague, Czech Republic
| | - Maria Trojano
- Department of Basic Medical Sciences, Neuroscience and Sense Organs, University of Bari, Bari, Italy
| | - Giovanna De Luca
- Multiple Sclerosis Centre, Neurology Unit, SS Annunziata Hospital, University "G. d'Annunzio", Chieti-Pescara, Italy
| | - Alessandra Lugaresi
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
- Dipartimento di Scienze Biomediche e Neuromotorie, Università di Bologna, Bologna, Italy
| | | | - Pierre Grammond
- Centre de Réadaptation Déficience Physique Chaudière-Appalache, Lévis, Canada
| | | | | | | | | | | | - Patrizia Sola
- Azienda Ospedaliero Universitaria Policlinico/OCB, Neurology Unit, Modena, Italy
| | - Diana Ferraro
- Department of Biomedical, Metabolic and Neurosciences, University of Modena and Reggio Emilia, Modena, Italy
| | | | | | - Csilla Rozsa
- Jahn Ferenc Teaching Hospital, Budapest, Hungary
| | - Cavit Boz
- Karadeniz Technical University, Trabzon, Turkey
| | | | | | | | - Anneke van der Walt
- Department of Neuroscience, Central Clinical School Alfred Hospital, Monash University, Melbourne, VIC, Australia
| | - Vilija G Jokubaitis
- Department of Neuroscience, Central Clinical School Alfred Hospital, Monash University, Melbourne, VIC, Australia
| | - Tomas Kalincik
- CORe, Department of Medicine, University of Melbourne, Melbourne, Australia
- MS Centre, Royal Melbourne Hospital, Melbourne, Australia
| | - Helmut Butzkueven
- Department of Neuroscience, Central Clinical School Alfred Hospital, Monash University, Melbourne, VIC, Australia
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AlRuthia Y, Balkhi B, Alkhalifah SA, Aljarallah S, Almutairi L, Alanazi M, Alajlan A, Aldhafiri SM, Alkhawajah NM. Real-World Comparative Cost-Effectiveness Analysis of Different Classes of Disease-Modifying Therapies for Relapsing-Remitting Multiple Sclerosis in Saudi Arabia. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph182413261. [PMID: 34948876 PMCID: PMC8702157 DOI: 10.3390/ijerph182413261] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/22/2021] [Revised: 12/12/2021] [Accepted: 12/14/2021] [Indexed: 01/05/2023]
Abstract
The very fact that multiple sclerosis (MS) is incurable and necessitates life-long care makes it one of the most burdensome illnesses. The aim of this study was to compare the cost-effectiveness of orally administered medications (e.g., fingolimod, dimethyl fumarate, and teriflunomide), interferon (IFN)-based therapy, and monoclonal antibodies (MABs) (e.g., natalizumab and rituximab) in the management of relapsing-remitting multiple sclerosis (RRMS) in Saudi Arabia using real-world data. This was a retrospective cohort study in which patients with RRMS aged ≥18 years without any other chronic health conditions with non-missing data for at least 12 months were recruited from the electronic health records of a university-affiliated tertiary care center. Multiple logistic regressions controlling for age, sex, and duration of therapy were conducted to examine the odds of disability progression, clinical relapse, MRI lesions, and composite outcome (e.g., relapse, lesion development on MRI, disability progression). The number of patients who met the inclusion criteria and were included in the analysis was 146. Most of the patients were female (70.51%) and young (e.g., ≤35 years of age). There were 40 patients on the orally administered agents (e.g., dimethyl fumarate, teriflunomide, fingolimod), 66 patients were on IFN-based therapy (e.g., Rebif®), and 40 patients were on monoclonal antibodies (e.g., rituximab and natalizumab). Patients on MABs had lower odds of the composite outcome (OR = 0.17 (95% CI: 0.068–0.428)). The use of orally administered agents was dominant (e.g., more effective and less costly), with average annual cost savings of USD −4336.65 (95% CI: −5207.89–−3903.32) and 8.11% higher rate of effectiveness (95% CI: −14.81–18.07) when compared with Rebif®. With regard to the use of MABs in comparison to Rebif®, MABs were associated with higher cost but a better rate of effectiveness, with an average additional annual cost of USD 1381.54 (95% CI: 421.31–3621.06) and 43.11% higher rate of effectiveness (95% CI: 30.38–61.15) when compared with Rebif®. In addition, the use of MABs was associated with higher cost but a better rate of effectiveness, with an average additional annual cost of USD 5717.88 (95% CI: 4970.75–8272.66) and 35% higher rate of effectiveness (95% CI: 10.0–42.50) when compared with orally administered agents. The use of MABs in the management of RRMS among the young patient population has shown to be the most effective therapy in comparison to both IFN-based therapy (e.g., Rebif®) and orally administered agents, but with higher cost. Orally administered agents resulted in better outcomes and lower costs in comparison to IFN-based therapy. Future studies should further examine the cost-effectiveness of different disease-modifying therapies for the management of RRMS using more robust study designs.
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Affiliation(s)
- Yazed AlRuthia
- Department of Clinical Pharmacy, College of Pharmacy, King Saud University, P.O. Box 2454, Riyadh 11451, Saudi Arabia; (B.B.); (S.A.A.); (A.A.); (S.M.A.)
- Pharmacoeconomics Research Unit, Department of Clinical Pharmacy, College of Pharmacy, King Saud University, P.O. Box 2454, Riyadh 11451, Saudi Arabia
- Correspondence: ; Tel.: +966-114-677-483; Fax: +966-114-677-480
| | - Bander Balkhi
- Department of Clinical Pharmacy, College of Pharmacy, King Saud University, P.O. Box 2454, Riyadh 11451, Saudi Arabia; (B.B.); (S.A.A.); (A.A.); (S.M.A.)
- Pharmacoeconomics Research Unit, Department of Clinical Pharmacy, College of Pharmacy, King Saud University, P.O. Box 2454, Riyadh 11451, Saudi Arabia
| | - Sahar Abdullah Alkhalifah
- Department of Clinical Pharmacy, College of Pharmacy, King Saud University, P.O. Box 2454, Riyadh 11451, Saudi Arabia; (B.B.); (S.A.A.); (A.A.); (S.M.A.)
| | - Salman Aljarallah
- Department of Medicine, Neurology Division, College of Medicine, King Saud University, P.O. Box 3145, Riyadh 12372, Saudi Arabia; (S.A.); (N.M.A.)
| | - Lama Almutairi
- Department of Pharmacy, King Khalid University Hospital, P.O. Box 3145, Riyadh 12372, Saudi Arabia; (L.A.); (M.A.)
| | - Miteb Alanazi
- Department of Pharmacy, King Khalid University Hospital, P.O. Box 3145, Riyadh 12372, Saudi Arabia; (L.A.); (M.A.)
| | - Abdulmalik Alajlan
- Department of Clinical Pharmacy, College of Pharmacy, King Saud University, P.O. Box 2454, Riyadh 11451, Saudi Arabia; (B.B.); (S.A.A.); (A.A.); (S.M.A.)
| | - Suliman M. Aldhafiri
- Department of Clinical Pharmacy, College of Pharmacy, King Saud University, P.O. Box 2454, Riyadh 11451, Saudi Arabia; (B.B.); (S.A.A.); (A.A.); (S.M.A.)
| | - Nuha M. Alkhawajah
- Department of Medicine, Neurology Division, College of Medicine, King Saud University, P.O. Box 3145, Riyadh 12372, Saudi Arabia; (S.A.); (N.M.A.)
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Wiyani A, Badgujar L, Khurana V, Adlard N. How have Economic Evaluations in Relapsing Multiple Sclerosis Evolved Over Time? A Systematic Literature Review. Neurol Ther 2021; 10:557-583. [PMID: 34279847 PMCID: PMC8571458 DOI: 10.1007/s40120-021-00264-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Accepted: 07/06/2021] [Indexed: 11/16/2022] Open
Abstract
INTRODUCTION The introduction of disease-modifying therapies (DMTs) for relapsing multiple sclerosis (RMS) over the last two decades has prompted the economic assessments of these treatments by reimbursement authorities. The aim of this systematic literature review was to evaluate the modeling approach and data sources used in economic evaluations of DMTs for RMS, identify differences and similarities, and explore how economic evaluation models have evolved over time. METHODS MEDLINE®, Embase®, and EBM Reviews databases were searched using Ovid® Platform from database inception on 25 December 2019 and subsequently updated on 17 February 2021. In addition, health technology assessment agency websites, key conference proceedings, and gray literature from relevant websites were screened. The quality of included studies was assessed using the Drummond and Philips checklists. RESULTS A total 155 publications and 30 Health Technology Assessment (HTA) reports were included. Most of these were cost-utility analysis (73 studies and 25 HTA reports) and funded by medicines manufacturers (n = 65). The top three countries where studies were conducted were the USA (n = 29), the UK (n = 16), and Spain (n = 10). Studies predominantly used Markov cohort models (94 studies; 25 HTAs) structured based on the Expanded Disability Status Scale (EDSS) with 21 health states (20 studies; 12 HTA reports). The London Ontario and British Columbia data sets were commonly used sources for natural history data (n = 33; n = 13). Twelve studies and ten HTAs from the UK assumed a waning of DMT effect over the long term, while this was uncommon in studies from other countries. Nineteen studies adjusted for multiple sclerosis (MS)-specific mortality estimates, while 18 studies used data from the national life table without adjustment. Studies prominently referred to mortality data that were about two decades old. The data on treatment effect was generally obtained from randomized controlled trials (43 studies; 7 HTAs) or from published evidence synthesis (23 studies; 24 HTAs). Utility estimates were derived from either published studies and/or supplemented with data from RCTs. Most of the models used the lifetime horizon (n = 37) with a 1-year cycle length (n = 63). CONCLUSION As expected, similarities as well as differences were observed across the different economic models. Available evidence suggests models should continue using the Markov cohort model with 21 EDSS-based states, however, allowing the transition to a lower EDSS state and assuming a sustained treatment effect. With reference to the data sources, models should consider using a contemporary MS-specific mortality data, recent natural history data, and country-specific utility data if available. In case of data unavailability, a sensitivity analysis using multiple sources of data should be conducted. In addition, future models should incorporate other clinically relevant outcomes, such as the cognition, vision, and psychological aspects of RMS, to be able to present the comprehensive value of DMTs.
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Affiliation(s)
- Anggie Wiyani
- Novartis Corporation (Malaysia) Sdn. Bhd., Petaling Jaya, Malaysia.
| | | | - Vivek Khurana
- Novartis Corporation (Malaysia) Sdn. Bhd., Petaling Jaya, Malaysia
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Ngorsuraches S, Poudel N. Incorporating patients' preferences in the value assessment of disease-modifying therapies for multiple sclerosis: a narrative review. Expert Rev Pharmacoecon Outcomes Res 2021; 21:183-195. [PMID: 33472451 DOI: 10.1080/14737167.2021.1880321] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
Introduction: Despite the increasing role of patients in the US healthcare system, patients have yet been engaged in the value assessment of their treatments, including disease-modifying therapies (DMTs) for multiple sclerosis (MS). The objectives of this review were therefore to summarize existing studies on cost-effectiveness analysis (CEA) with quality-adjusted life years (QALYs) and patients' preferences of DMTs for MS, and to discuss how to incorporate patients' preferences into the value assessment of DMTs.Area covered: We reviewed previous systematic reviews and conducted further search until November 2020 for studies on CEA with QALYs and patients' preferences of DMTs for MS. We identified the outcomes that were assessed or valued in the CEA studies and the DMT attributes that were important to patients with MS.Expert opinion: Our literature review showed that the studies using CEA with QALYs failed to capture some important DMT attributes, e.g., route and frequency of administration, identified in the studies on the patients' preferences. Various approaches were available for incorporating the patients' preferences in the value assessment of DMTs for MS. We supported this incorporation, which subsequently would increase patient access to preferred DMTs.
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Affiliation(s)
- Surachat Ngorsuraches
- Department of Health Outcomes Research and Policy, Auburn University, Harrison School of Pharmacy, Auburn, AL, USA
| | - Nabin Poudel
- Department of Health Outcomes Research and Policy, Auburn University, Harrison School of Pharmacy, Auburn, AL, USA
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