RESUMO
Benefit and risk assessments are not only important to regulatory authorities but also important to the providers, patients, pharmaceutical industry, and payers. In order for patients and providers to continue to have access to new innovative medicines, which have some level of inherent risk, it is critical to have a systematic and balanced focus on understanding the safety risks and benefits to the patient during drug development, at the time of approval and postmarketing. There has been a significant amount of activity around efforts to improve the ability to assess risks in the postmarketing environment. However, there is no widely accepted, systematic approach or process for the ongoing evaluation of benefit. This article introduces 4 critical components in the process of identifying and assessing benefit with a goal of providing a framework that is transparent, comprehensive, applicable to various perspectives, and simple to communicate and implement. We propose the development of a catalog applied to a particular disease to identify the optimal data sources and methods to address the interests of a given perspective. Two key resources will need to be developed to support the catalog development: (1) a summary of benefit measures and preferences by disease and from various perspectives and (2) an investment in a simple visual communication mechanism with minimal statistical language. As the emphasis is on transparency, relevance, applicability, and communication, this approach to assessing benefit should maximize the impact of these data to all stakeholders and decision makers.
Assuntos
Aprovação de Drogas/estatística & dados numéricos , Indústria Farmacêutica/estatística & dados numéricos , Ensaios Clínicos como Assunto/estatística & dados numéricos , Comunicação , Coleta de Dados/métodos , Aprovação de Drogas/organização & administração , Avaliação Pré-Clínica de Medicamentos/estatística & dados numéricos , Humanos , Vigilância de Produtos Comercializados/estatística & dados numéricos , Medição de Risco , Estados Unidos , United States Food and Drug AdministrationRESUMO
The purpose of this reported study was to determine healthcare utilization and costs associated with delayed diagnosis of bipolar disorder. With use of automated data from a large integrated health system in the Midwest, all patients with newly diagnosed bipolar disorder recorded in any inpatient or outpatient encounter from January 1, 2000 to August 31, 2002 were identified. The date of initial diagnosis was the index date. For each patient in the bipolar cohort, 5 comparison patients were randomly selected from the general population of health system members and matched with the bipolar patients by sex, race, and age (-/+ 5 years). Data on healthcare utilization (inpatient, outpatient, emergency department, pharmacy) were collected with a focus on mental health, from January 1, 1990, through 1 year after the index date. The cohort is 62% female and 64% White. Median time between initial mental health diagnosis and bipolar diagnosis was 21 months, with 33% of subjects receiving a bipolar diagnosis within 6 months of their initial mental health diagnosis; however, for 31% of the remaining bipolar subjects, the time of their initial mental health presentation to bipolar diagnosis was 4 years or more. The number and duration of treatment with antidepressants increased as time to bipolar diagnosis increased. Patients with bipolar disorder had at least twice the number of interactions with the healthcare system before the index date than the non-bipolar comparison group. Mean monthly costs before and after bipolar diagnosis were not strikingly different for patients with bipolar disorder, but costs after bipolar diagnosis increased with increasing time to bipolar diagnosis. Bipolar disorder is a costly illness for which the impact on the healthcare system may vary depending on how quickly it is diagnosed. Delays in diagnosis appear related to additional costs after diagnosis.