Literature DB >> 20067327

Impact of adherence to interferons in the treatment of multiple sclerosis: a non-experimental, retrospective, cohort study.

Stephanie C Steinberg1, Richard J Faris, Cyril F Chang, Andrew Chan, Mark A Tankersley.   

Abstract

BACKGROUND: Relapsing-remitting multiple sclerosis (RRMS) is a chronic disease affecting about 400 000 people in the US characterized by increasing patient disability and burden on society. While there is no cure for multiple sclerosis (MS), pharmaceutical treatments exist that can limit the number of relapses a patient experiences, and slow disease progression. One such class of agents used to treat RRMS are the interferons: interferon-beta-1a (Rebif and Avonex and interferon-beta-1b (Betaseron and Extavia). Patients must take these injectable medications regularly to achieve the optimal outcomes. However, patient issues and potential adverse effects of the medication may prevent the patient from taking the medication as directed and lower adherence. To date, limited evidence exists regarding the effect of patient adherence to interferon-beta therapies on clinical and economic outcomes.
OBJECTIVE: The purpose of this study was to explore the impact of patient adherence to interferon-beta therapy on MS relapse rates and healthcare resource utilization.
METHODS: Using a non-experimental, retrospective cohort design, a sample population (n = 1606) was drawn from patients identified in a database that includes both pharmacy and medical claims data. The study population was separated into two groups based on a measure of medication possession ratio (MPR)-adherent and non-adherent patients, and adherence was defined as MPR > or =85% in a given year during the study period (2006-8). Key outcome variables included MS relapses and healthcare resource utilization. Data were analysed using parametric and non-parametric statistics, and regression modeling.
RESULTS: During the study period, the average MPR for all patients on interferon-beta therapy varied from 72% to 76%. Only 27-41% of patients in each year were considered adherent (i.e. MPR > or =85%) and only 4% of patients had an MPR of > or =85% throughout the 3-year study period (2006-8). Patients who were adherent tended to have a lower risk of relapses over 3 years than non-adherent patients. A significantly lower risk of relapses was found in 2006 (risk ratio [RR] 0.89; 95% CI 0.81, 0.97). Furthermore, an increasingly larger effect emerged between adherence and relapses when comparing adherent patients (MPR > or =85%) with subgroups of non-adherent patients (<80%, <75%, <70%, <65% and <60%). The impact of adherence on emergency room (ER) visits also tended to suggest a lower risk during 2006, 2007 and 2006-8. During 2008, the risk for an ER visit was significantly lower for patients adherent in 2007 (RR 0.78; 95% CI 0.61, 0.99). Inpatient admissions followed the ER trends, as patients considered adherent in 2006 and 2007 tended to have a lower risk over 3 years. This result was significant for patients adherent in 2007 (RR 0.79; 95% CI 0.65, 0.98).
CONCLUSION: The findings of low patient adherence and the impact of adherence on relapses and healthcare resource utilization strongly suggest opportunities to reduce healthcare resource utilization and healthcare costs among RRMS patients taking interferon-beta therapy. Efforts should be undertaken to understand and improve medication-taking behaviour in this population so as to minimize the negative impacts of RRMS on patients while reducing unnecessary direct and indirect costs to treat disease exacerbations.

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Year:  2010        PMID: 20067327     DOI: 10.2165/11533330-000000000-00000

Source DB:  PubMed          Journal:  Clin Drug Investig        ISSN: 1173-2563            Impact factor:   2.859


  41 in total

1.  Prevalence, expenditures, utilization, and payment for persons with MS in insured populations.

Authors:  G C Pope; C J Urato; E D Kulas; R Kronick; T Gilmer
Journal:  Neurology       Date:  2002-01-08       Impact factor: 9.910

2.  PROBLEMS OF EXPERIMENTAL TRIALS OF THERAPY IN MULTIPLE SCLEROSIS: REPORT BY THE PANEL ON THE EVALUATION OF EXPERIMENTAL TRIALS OF THERAPY IN MULTIPLE SCLEROSIS.

Authors:  G A SCHUMACHER; G BEEBE; R F KIBLER; L T KURLAND; J F KURTZKE; F MCDOWELL; B NAGLER; W A SIBLEY; W W TOURTELLOTTE; T L WILLMON
Journal:  Ann N Y Acad Sci       Date:  1965-03-31       Impact factor: 5.691

Review 3.  Compliance, adherence, and the treatment of multiple sclerosis.

Authors:  Thomas Klauer; Uwe K Zettl
Journal:  J Neurol       Date:  2008-12       Impact factor: 4.849

Review 4.  Medication adherence and persistence: a comprehensive review.

Authors:  Kem P Krueger; Bruce A Berger; Bill Felkey
Journal:  Adv Ther       Date:  2005 Jul-Aug       Impact factor: 3.845

5.  Cost and health related quality of life consequences of multiple sclerosis.

Authors:  D T Grima; G W Torrance; G Francis; G Rice; A J Rosner; L Lafortune
Journal:  Mult Scler       Date:  2000-04       Impact factor: 6.312

6.  Validity of a prescription claims database to estimate medication adherence in older persons.

Authors:  Ruby Grymonpre; Mary Cheang; Marjory Fraser; Colleen Metge; Daniel S Sitar
Journal:  Med Care       Date:  2006-05       Impact factor: 2.983

7.  Impact of adherence to antiretroviral therapy in HIV-1-infected patients at a university public service in Brazil.

Authors:  L F Brigido; R Rodrigues; J Casseb; D Oliveira; M Rossetti; P Menezes; A J Duarte
Journal:  AIDS Patient Care STDS       Date:  2001-11       Impact factor: 5.078

8.  Factors that influence adherence with disease-modifying therapy in MS.

Authors:  Katherine Treadaway; Gary Cutter; Amber Salter; Sharon Lynch; James Simsarian; John Corboy; Douglas Jeffery; Bruce Cohen; Ken Mankowski; Joseph Guarnaccia; Lawrence Schaeffer; Roy Kanter; David Brandes; Charles Kaufman; David Duncan; Ellen Marder; Arthur Allen; John Harney; Joanna Cooper; Douglas Woo; Olaf Stüve; Michael Racke; Elliot M Frohman
Journal:  J Neurol       Date:  2009-04-27       Impact factor: 4.849

9.  Improving compliance with interferon-beta therapy in patients with multiple sclerosis.

Authors:  Emilio Portaccio; Maria Pia Amato
Journal:  CNS Drugs       Date:  2009       Impact factor: 5.749

10.  Intramuscular interferon beta-1a for disease progression in relapsing multiple sclerosis. The Multiple Sclerosis Collaborative Research Group (MSCRG)

Authors:  L D Jacobs; D L Cookfair; R A Rudick; R M Herndon; J R Richert; A M Salazar; J S Fischer; D E Goodkin; C V Granger; J H Simon; J J Alam; D M Bartoszak; D N Bourdette; J Braiman; C M Brownscheidle; M E Coats; S L Cohan; D S Dougherty; R P Kinkel; M K Mass; F E Munschauer; R L Priore; P M Pullicino; B J Scherokman; R H Whitham
Journal:  Ann Neurol       Date:  1996-03       Impact factor: 10.422

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  96 in total

1.  A multicenter study of the predictors of adherence to self-injected glatiramer acetate for treatment of relapsing-remitting multiple sclerosis.

Authors:  Howard Zwibel; Gabriel Pardo; Shelly Smith; Douglas Denney; Merrikay Oleen-Burkey
Journal:  J Neurol       Date:  2010-10-06       Impact factor: 4.849

2.  Nurses' perspective on approaches to limit flu-like symptoms during interferon therapy for multiple sclerosis.

Authors:  Mary L Filipi; Jill Beavin; Raquel T Brillante; Kathleen Costello; Gail C Hartley; Kay Hartley; Marie Namey; Shirley O'Leary; Gina Remington
Journal:  Int J MS Care       Date:  2014

3.  The Combined Effect of Nursing Support and Adverse Event Mitigation on Adherence to Interferon Beta-1b Therapy in Early Multiple Sclerosis: The START Study.

Authors:  Suhayl Dhib-Jalbut; Clyde Markowitz; Payal Patel; Francis Boateng; Mark Rametta
Journal:  Int J MS Care       Date:  2012

4.  Treatment discontinuation and disease progression with injectable disease-modifying therapies: findings from the north american research committee on multiple sclerosis database.

Authors:  Robert J Fox; Amber R Salter; Tuula Tyry; Jennifer Sun; Xiaojun You; Genevieve Laforet; Denise Campagnolo
Journal:  Int J MS Care       Date:  2013

5.  Changes in first-line injectable disease-modifying therapy for multiple sclerosis: predictors of non-adherence, switching, discontinuation, and interruption of drugs.

Authors:  Luca Degli Esposti; Carlo Piccinni; Diego Sangiorgi; Valentina Perrone; Lucia Aledda; Maria Giovanna Marrosu; Fabio Lombardo
Journal:  Neurol Sci       Date:  2017-01-11       Impact factor: 3.307

Review 6.  Economics of Multiple Sclerosis Disease-Modifying Therapies in the USA.

Authors:  Daniel M Hartung
Journal:  Curr Neurol Neurosci Rep       Date:  2021-05-05       Impact factor: 5.081

Review 7.  Economics and Cost-Effectiveness of Multiple Sclerosis Therapies in the USA.

Authors:  Daniel M Hartung
Journal:  Neurotherapeutics       Date:  2017-10       Impact factor: 7.620

8.  Exit strategies for "needle fatigue" in multiple sclerosis: a propensity score-matched comparison study.

Authors:  Luca Prosperini; Antonio Cortese; Matteo Lucchini; Laura Boffa; Giovanna Borriello; Maria Chiara Buscarinu; Fioravante Capone; Diego Centonze; Chiara De Fino; Daniela De Pascalis; Roberta Fantozzi; Elisabetta Ferraro; Maria Filippi; Simonetta Galgani; Claudio Gasperini; Shalom Haggiag; Doriana Landi; Girolama Marfia; Giorgia Mataluni; Enrico Millefiorini; Massimiliano Mirabella; Fabrizia Monteleone; Viviana Nociti; Simona Pontecorvo; Silvia Romano; Serena Ruggieri; Marco Salvetti; Carla Tortorella; Silvana Zannino; Giancarlo Di Battista
Journal:  J Neurol       Date:  2019-11-13       Impact factor: 4.849

9.  Management Strategies for Flu-Like Symptoms and Injection-Site Reactions Associated with Peginterferon Beta-1a: Obtaining Recommendations Using the Delphi Technique.

Authors:  June Halper; Diego Centonze; Scott D Newsome; DeRen Huang; Christopher Robertson; Xiaojun You; Guido Sabatella; Vladimir Evilevitch; Leslie Leahy
Journal:  Int J MS Care       Date:  2016 Jul-Aug

10.  Therapy satisfaction and adherence in patients with relapsing-remitting multiple sclerosis: the THEPA-MS survey.

Authors:  Rocco Haase; Jennifer S Kullmann; Tjalf Ziemssen
Journal:  Ther Adv Neurol Disord       Date:  2016-03-15       Impact factor: 6.570

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