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1.
Muscle Nerve ; 49(3): 431-8, 2014 Mar.
Artigo em Inglês | MEDLINE | ID: mdl-23836444

RESUMO

INTRODUCTION: We conducted a comprehensive study of the costs associated with amyotrophic lateral sclerosis (ALS), Duchenne muscular dystrophy (DMD). and myotonic dystrophy (DM) in the U.S. METHODS: We determined the total impact on the U.S. economy, including direct medical costs, nonmedical costs, and loss of income. Medical costs were calculated using a commercial insurance database and Medicare claims data. Nonmedical and indirect costs were determined through a survey of families registered with the Muscular Dystrophy Association. RESULTS: Medical costs were driven by outpatient care. Nonmedical costs were driven by the necessity to move or adapt housing for the patient and paid caregiving. Loss of income correlated significantly with the amount of care needed by the patient. CONCLUSIONS: We calculated the annual per-patient costs to be $63,693 for ALS, $50,952 for DMD, and $32,236 for DM. Population-wide national costs were $1,023 million (ALS), $787 million (DMD), and $448 million (DM).


Assuntos
Efeitos Psicossociais da Doença , Doenças Neuromusculares/economia , Doenças Neuromusculares/epidemiologia , Bases de Dados Factuais/estatística & dados numéricos , Feminino , Custos de Cuidados de Saúde/estatística & dados numéricos , Inquéritos Epidemiológicos , Humanos , Masculino , Medicare/economia , Medicare/estatística & dados numéricos , Doenças Neuromusculares/classificação , Estados Unidos/epidemiologia
2.
PLoS Curr ; 92017 Jan 12.
Artigo em Inglês | MEDLINE | ID: mdl-28228973

RESUMO

INTRODUCTION: The Duchenne Regulatory Science Consortium (D-RSC) was established to develop tools to accelerate drug development for DMD.  The resulting tools are anticipated to meet validity requirements outlined by qualification/endorsement pathways at both the U.S. Food and Drug Administration (FDA) and European Medicines Administration (EMA), and will be made available to the drug development community. The initial goals of the consortium include the development of a disease progression model, with the goal of creating a model that would be used to forecast changes in clinically meaningful endpoints, which would inform clinical trial protocol development and data analysis.  Methods: In April of 2016 the consortium and other experts met to formulate plans for the development of the model.  Conclusions: Here we report the results of the meeting, and discussion as to the form of the model that we plan to move forward to develop, after input from the regulatory authorities.

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