Literature DB >> 21973231

Treatment outcomes with methylphenidate formulations among patients with ADHD: retrospective claims analysis of a managed care population.

Paul Hodgkins1, Rahul Sasané, Laura Christensen, Carolyn Harley, Fang Liu.   

Abstract

OBJECTIVE: Describe treatment patterns, resource use, and predictors of methylphenidate (MPH) switch among children (6-12 years), adolescents (13-17 years), and adults (≥ 18 years) with attention-deficit/hyperactivity disorder (ADHD).
METHODS: This retrospective U.S. managed care database study used medical, pharmacy, and enrollment data to examine treatment patterns among patients with ≥ 1 ADHD diagnosis code (ICD-9 314.00-314.9), MPH pharmacy claims during 01/01/2004-09/30/2006, and no ADHD pharmacy claims in prior 6 months. Patients were followed for 1 year for dosage change, switch (change to non-MPH treatment), augmentation, persistence (number days on index medication) and adherence (days supplied/days persistent). End points were assessed by age group and MPH formulation. Cox proportional hazards modeling was conducted to determine predictors of MPH switch.
RESULTS: Among 23,860 MPH users, 51.4% had a dosing change, 14% switched to a non-MPH agent, and 4% augmented MPH therapy. Among those prescribed long-acting (LA) MPH (N = 14,681), switching rates were 14% for children, 13% for adolescents, and 16% for adults. Augmentation rates for LA MPH were <5%. Overall, 53% of patients were adherent with mean persistence of 219 days. For the subgroup of patients prescribed LA MPH (n = 14,681), adherence ranged from 49% (adolescents) to 59% (children); persistence varied between 183 days (adults) to 256 days (children). During the 1-year follow-up, office/clinic visits were the major driver of health care resource use in MPH patients (mean 9.7 visits/patient). Patients with psychiatric comorbidity utilized significantly greater services. Predictors of MPH switch included psychiatric comorbidity (hazards ratio [HR] 1.37; 95% confidence interval [CI] = 1.26-1.48; p < 0.0001) and specialty prescribers (HR 1.19, 95% CI = 1.04-1.35; p = 0.011). Potential limitations of this study include use of claims data for definition of drug usage; inclusion of medications approved for use in ADHD; assessment of switching that may not have captured short-term augmentation; absence of economic, clinical and other variables from the claims dataset that may have influenced treatment selection, and outcomes. The 6-month baseline period to determine newly treated patients may not guarantee exclusion of all previously treated patients who restart therapy after an extended period.
CONCLUSIONS: Children exhibited the highest persistence of MPH users. ADHD patients on MPH therapy with a psychiatric comorbidity may require additional follow-up to help improve adherence and reduce health care resource use.

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Year:  2011        PMID: 21973231     DOI: 10.1185/03007995.2011.623158

Source DB:  PubMed          Journal:  Curr Med Res Opin        ISSN: 0300-7995            Impact factor:   2.580


  10 in total

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Authors:  Jeff Schein; Ann Childress; Martin Cloutier; Urvi Desai; Andi Chin; Mark Simes; Annie Guerin; Julie Adams
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2.  Disparities in identification of comorbid diagnoses in children with ADHD.

Authors:  Tanjala T Gipson; Eboni I Lance; Rebecca A Albury; Maura B Gentner; Mary L Leppert
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3.  Use of medication for attention-deficit/hyperactivity disorder and risk of unintentional injuries in children and adolescents with co-occurring neurodevelopmental disorders.

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4.  Relationship between symptom impairment and treatment outcome in children and adolescents with attention-deficit/hyperactivity disorder: a physician perspective.

Authors:  Juliana Setyawan; Moshe Fridman; Paul Hodgkins; Javier Quintero; M Haim Erder; Božena J Katić; Valerie Harpin
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Review 5.  Adherence, persistence, and medication discontinuation in patients with attention-deficit/hyperactivity disorder - a systematic literature review.

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6.  ENTRY IN THE ADHD DRUGS MARKET: WELFARE IMPACT OF GENERICS AND ME-TOO'S.

Authors:  Farasat A S Bokhari; Gary M Fournier
Journal:  J Ind Econ       Date:  2013-06

7.  Beliefs regarding medication and side effects influence treatment adherence in adolescents with attention deficit hyperactivity disorder.

Authors:  Maria Emilsson; Per A Gustafsson; Gisela Öhnström; Ina Marteinsdottir
Journal:  Eur Child Adolesc Psychiatry       Date:  2016-11-15       Impact factor: 4.785

8.  Risk factors for low adherence to methylphenidate treatment in pediatric patients with attention-deficit/hyperactivity disorder.

Authors:  Asami Ishizuya; Minori Enomoto; Hisateru Tachimori; Hidehiko Takahashi; Genichi Sugihara; Shingo Kitamura; Kazuo Mishima
Journal:  Sci Rep       Date:  2021-01-18       Impact factor: 4.379

9.  Treatment patterns among children and adolescents with attention-deficit/hyperactivity disorder in the United States - a retrospective claims analysis.

Authors:  Jeff Schein; Ann Childress; Julie Adams; Patrick Gagnon-Sanschagrin; Jessica Maitland; Wendi Qu; Martin Cloutier; Annie Guérin
Journal:  BMC Psychiatry       Date:  2022-08-18       Impact factor: 4.144

10.  Cluster-randomized, controlled 12-month trial to evaluate the effect of a parental psychoeducation program on medication persistence in children with attention-deficit/hyperactivity disorder.

Authors:  Alonso Montoya; Amaia Hervás; Joaquín Fuentes; Esther Cardo; Pepa Polavieja; Javier Quintero; Rosemary Tannock
Journal:  Neuropsychiatr Dis Treat       Date:  2014-06-13       Impact factor: 2.570

  10 in total

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