RESUMO
Policy Points Only a small minority of new drugs in "nonprotected" classes are widely covered by Part D plans nationwide in the year after US Food and Drug Administration (FDA) approval. Part D plans frequently apply utilization management restrictions such as prior authorizations to newly approved drugs in both protected and nonprotected classes. Drug price influences both formulary inclusion (in nonprotected classes) and coverage restrictions (in both protected and nonprotected classes), while other drug characteristics such as therapeutic benefits are not consistently associated with formulary design. Plans do not seem to favor the minority of drugs that are determined to offer added therapeutic benefit over existing alternatives. CONTEXT: Medicare Part D is an outpatient prescription drug benefit for older Americans covering more than 46 million beneficiaries. Except for mandatory coverage for essentially all drugs in six protected classes, plans have substantial flexibility in how they design their formularies: which drugs are covered, which drugs are subject to restrictions, and what factors determine formulary placement. Our objective in this paper was to document the extent to which Part D plans limit coverage of newly approved drugs. METHODS: We examined the formulary design of 4,582 Part D plans from 2014 through 2018 and measured (1) the decision to cover newly approved drugs in nonprotected classes, (2) use of utilization management tools in protected and nonprotected classes, and (3) the association between plan design and drug-level characteristics such as 30-day cost, therapeutic benefit, and the US Food and Drug Administration (FDA) expedited regulatory pathway. FINDINGS: The FDA approved 109 new drugs predominantly used in outpatient settings between 2013 and 2017. Of these, 75 fell outside of the six protected drug classes. One-fifth of drugs in nonprotected classes (15 out of 75) were covered by more than half of plans during the first year after approval. Coverage was often conditional on utilization management strategies in both protected and nonprotected classes: only seven drugs (6%) were covered without prior authorization requirements in more than half of plans. Higher 30-day drug costs were associated with more widespread coverage in nonprotected classes: drugs that cost less than $150 for a 30-day course were covered by fewer than 20% of plans while those that cost more than $30,000 per 30 days were covered by more than 50% of plans. Plans were also more likely to implement utilization management tools on high-cost drugs in both protected and nonprotected classes. A higher proportion of plans implemented utilization management strategies on covered drugs with first-in-class status than drugs that were not first in class. Other drug characteristics, including availability of added therapeutic benefit and inclusion in FDA expedited regulatory approval, were not consistently associated with plan coverage or formulary restrictions. CONCLUSIONS: Newly approved drugs are frequently subject to formulary exclusions and restrictions in Medicare Part D. Ensuring that formulary design in Part D is linked closely to the therapeutic value of newly approved drugs would improve patients' welfare.
Assuntos
Medicare Part D , Medicamentos sob Prescrição , Idoso , Custos de Medicamentos , Humanos , Estados Unidos , United States Food and Drug AdministrationRESUMO
CONTEXT: To what extent does pharmaceutical revenue growth depend on new medicines versus increasing prices for existing medicines? Moreover, does using list prices, as is commonly done, instead of prices net of confidential rebates offered by manufacturers, which are harder to observe, change the relative importance of the sources of revenue growth? METHODS: This study uses data from SSR Health LLC to address these research questions using decomposition methods that analyze list prices, prices net of rebates, and sales for branded pharmaceutical products sold primarily through retail pharmacies. FINDINGS: From 2009 to 2019, retail pharmaceutical revenue growth was primarily driven by new products rather than by price increases on existing products. Failing to account for confidential rebates creates a more prominent role for price increases in explaining revenue growth, because list price inflation during this period was 10.9%, whereas net price inflation was 3.3%. CONCLUSIONS: Policies that restrict price growth on existing medicines likely need to be coupled with policies that reduce launch prices to have a meaningful long-term impact on pharmaceutical revenue growth. Using pharmaceutical list prices is often an inadequate approximation for net prices because the role of rebates has increased and varies by drug class.
Assuntos
Custos de Medicamentos , Farmácias , Estados Unidos , Humanos , Comércio , Marketing , Preparações FarmacêuticasAssuntos
Redução de Custos , Atenção à Saúde/economia , Política de Saúde/economia , Custo Compartilhado de Seguro , Reforma dos Serviços de Saúde/economia , Reforma dos Serviços de Saúde/legislação & jurisprudência , Política de Saúde/legislação & jurisprudência , Humanos , Cobertura do Seguro/tendências , Seguro Saúde/economia , Seguro Saúde/tendências , Qualidade da Assistência à Saúde , Impostos , Estados UnidosAssuntos
Atitude Frente a Saúde , Reforma dos Serviços de Saúde , Prioridades em Saúde , Seguro Saúde/legislação & jurisprudência , Reforma dos Serviços de Saúde/legislação & jurisprudência , Humanos , Cobertura do Seguro/legislação & jurisprudência , Seguro Saúde/economia , Política , Alocação de Recursos , Inquéritos e QuestionáriosRESUMO
Differences in patient characteristics across trials may bias efficacy estimates from indirect treatment comparisons. To address this issue, matching-adjusted indirect comparison (MAIC) measures treatment efficacy after weighting individual patient data to match patient characteristics across trials. To date, however, there is no consensus on how best to implement MAIC. To address this issue, we applied MAIC to measure how two attention-deficit/hyperactivity disorder (ADHD) treatments (guanfacine extended release and atomoxetine hydrochloride) affect patients' ADHD symptoms, as measured by the ADHD Rating Scale IV score. We tested MAIC sensitivity to: matched patient characteristics, matched statistical moments, weighting matrix, and placebo-arm matching (i.e., matching on outcomes in the placebo arm). After applying MAIC, guanfacine and atomoxetine had similar reductions in ADHD symptoms (Δ: 0.4, p < 0.737). The results were similar for three of four sensitivity analyses. When we applied MAIC with placebo-arm matching, however, guanfacine reduced symptoms more than atomoxetine (Δ: -3.9, p < 0.004). We discuss the implication of this finding and advise MAIC practitioners to carefully consider the use of placebo-arm matching, depending on the presence of residual confounding across trials. Copyright © 2016 John Wiley & Sons, Ltd.
Assuntos
Inibidores da Captação Adrenérgica/uso terapêutico , Agonistas de Receptores Adrenérgicos alfa 2/uso terapêutico , Cloridrato de Atomoxetina/uso terapêutico , Transtorno do Deficit de Atenção com Hiperatividade/tratamento farmacológico , Pesquisa Comparativa da Efetividade , Guanfacina/uso terapêutico , Viés , Criança , Feminino , Humanos , Masculino , Resultado do TratamentoRESUMO
BACKGROUND: Cardiovascular disease is often studied through patient self-report and administrative data. However, these 2 sources provide different information, and few studies have compared them. METHODS AND RESULTS: We compared data from a longitudinal, nationally representative survey of older Americans with matched Medicare claims. Self-reported heart attack in the previous 2 years was compared with claims-identified acute myocardial infarction (AMI) and acute coronary syndrome. Among the 3.1% of respondents with self-reported heart attack, 32.8% had claims-identified AMI, 16.5% had non-AMI acute coronary syndrome, and 25.8% had other cardiac claims; 17.3% had no inpatient visits in the previous 2.5 years. Claims-identified AMIs were found in 1.4% of respondents; of these, 67.8% reported a heart attack. Self-reports were less likely among respondents >75 years of age (62.7% versus 74.6%; P=0.006), with less than high school education (61.6% versus 71.4%; P=0.015), with at least 1 limitation in activities of daily living (59.6% versus 74.7%; P=0.001), or below the 25th percentile of a word recall memory test (60.7% versus 71.3%; P=0.019). Both self-reported and claims-identified cardiac events were associated with increased mortality; the highest mortality was observed among those with claims-identified AMI who did not self-report (odds ratio, 2.8; 95% confidence interval, 1.5-5.1) and among those with self-reported heart attack and claims-identified AMI (odds ratio, 2.5; 95% confidence interval, 1.7-3.6) or non-AMI acute coronary syndrome (odds ratio, 2.7; 95% confidence interval, 1.8-4.1). CONCLUSIONS: There is considerable disagreement between self-reported and claims-identified events. Although self-reported heart attack may be inaccurate, it indicates increased risk of death, regardless of whether the self-report is confirmed by Medicare claims.
Assuntos
Formulário de Reclamação de Seguro/estatística & dados numéricos , Medicare/estatística & dados numéricos , Infarto do Miocárdio/epidemiologia , Autorrelato , Atividades Cotidianas , Síndrome Coronariana Aguda/epidemiologia , Idoso , Escolaridade , Feminino , Pesquisas sobre Atenção à Saúde , Humanos , Masculino , Transtornos da Memória/epidemiologia , Pessoa de Meia-Idade , Reprodutibilidade dos Testes , Sensibilidade e Especificidade , Fatores Socioeconômicos , Análise de Sobrevida , Estados Unidos/epidemiologiaRESUMO
The conventional wisdom for the healthcare sector is that idiosyncratic features leave little scope for market forces to allocate consumers to higher performance producers. However, we find robust evidence - across several different conditions and performance measures - that higher quality hospitals have higher market shares and grow more over time. The relationship between performance and allocation is stronger among patients who have greater scope for hospital choice, suggesting that patient demand plays an important role in allocation. Our findings suggest that healthcare may have more in common with "traditional" sectors subject to market forces than often assumed.
Assuntos
Comportamento do Consumidor , Setor de Assistência à Saúde/estatística & dados numéricos , Hospitais , Indicadores de Qualidade em Assistência à Saúde/estatística & dados numéricos , Qualidade da Assistência à Saúde/estatística & dados numéricos , Taxa de Sobrevida , Artroplastia de Substituição/mortalidade , Competição Econômica , Insuficiência Cardíaca/mortalidade , Humanos , Modelos Teóricos , Infarto do Miocárdio/mortalidade , Satisfação do Paciente , Pneumonia/mortalidade , Estados UnidosAssuntos
Negro ou Afro-Americano , Infecções por Coronavirus/economia , Infecções por Coronavirus/epidemiologia , Apoio Financeiro , Pandemias/economia , Pneumonia Viral/economia , Pneumonia Viral/epidemiologia , Alocação de Recursos/economia , Betacoronavirus , COVID-19 , Infecções por Coronavirus/etnologia , Hospitais , Humanos , Medicare , Pneumonia Viral/etnologia , SARS-CoV-2 , Estados Unidos/epidemiologiaAssuntos
Betacoronavirus , Infecções por Coronavirus/transmissão , Características da Família , Renda , Doenças Profissionais/etiologia , Pneumonia Viral/transmissão , Recursos Humanos/economia , Negro ou Afro-Americano/estatística & dados numéricos , Idoso/estatística & dados numéricos , COVID-19 , Censos , Infecções por Coronavirus/epidemiologia , Feminino , Mão de Obra em Saúde/classificação , Mão de Obra em Saúde/economia , Mão de Obra em Saúde/estatística & dados numéricos , Hispânico ou Latino/estatística & dados numéricos , Humanos , Renda/classificação , Renda/estatística & dados numéricos , Indústrias/classificação , Indústrias/estatística & dados numéricos , Masculino , Pessoas sem Cobertura de Seguro de Saúde/estatística & dados numéricos , Doenças Profissionais/epidemiologia , Ocupações/classificação , Ocupações/estatística & dados numéricos , Pandemias , Pneumonia Viral/epidemiologia , Saúde Pública , Medição de Risco/economia , Medição de Risco/estatística & dados numéricos , SARS-CoV-2 , Distribuição por Sexo , Estados Unidos/epidemiologia , Recursos Humanos/classificação , Recursos Humanos/estatística & dados numéricosRESUMO
BACKGROUND: Data are lacking on the proportion of physicians who face malpractice claims in a year, the size of those claims, and the cumulative career malpractice risk according to specialty. METHODS: We analyzed malpractice data from 1991 through 2005 for all physicians who were covered by a large professional liability insurer with a nationwide client base (40,916 physicians and 233,738 physician-years of coverage). For 25 specialties, we reported the proportion of physicians who had malpractice claims in a year, the proportion of claims leading to an indemnity payment (compensation paid to a plaintiff), and the size of indemnity payments. We estimated the cumulative risk of ever being sued among physicians in high- and low-risk specialties. RESULTS: Each year during the study period, 7.4% of all physicians had a malpractice claim, with 1.6% having a claim leading to a payment (i.e., 78% of all claims did not result in payments to claimants). The proportion of physicians facing a claim each year ranged from 19.1% in neurosurgery, 18.9% in thoracic-cardiovascular surgery, and 15.3% in general surgery to 5.2% in family medicine, 3.1% in pediatrics, and 2.6% in psychiatry. The mean indemnity payment was $274,887, and the median was $111,749. Mean payments ranged from $117,832 for dermatology to $520,923 for pediatrics. It was estimated that by the age of 65 years, 75% of physicians in low-risk specialties had faced a malpractice claim, as compared with 99% of physicians in high-risk specialties. CONCLUSIONS: There is substantial variation in the likelihood of malpractice suits and the size of indemnity payments across specialties. The cumulative risk of facing a malpractice claim is high in all specialties, although most claims do not lead to payments to plaintiffs. (Funded by the RAND Institute for Civil Justice and the National Institute on Aging.).
Assuntos
Imperícia/estatística & dados numéricos , Medicina/estatística & dados numéricos , Médicos/estatística & dados numéricos , Imperícia/economia , Modelos Estatísticos , Médicos de Atenção Primária/estatística & dados numéricos , Risco , Especialidades Cirúrgicas/estatística & dados numéricos , Estados UnidosRESUMO
BACKGROUND: Medical professional liability (MPL) remains a significant burden for physicians, in general, and cardiologists, in particular, as recent research has shown that average MPL defense costs are higher in cardiology than other specialties. Knowledge of the clinical characteristics and outcomes of lawsuits against cardiologists may improve quality of care and risk management. METHODS: We analyzed closed MPL claims of 40,916 physicians and 781 cardiologists insured by a large nationwide insurer for ≥1 policy year between 1991 and 2005. RESULTS: The annual percentage of cardiologists facing an MPL claim was 8.6%, compared with 7.4% among physicians overall (P < .01). Among 530 claims, 72 (13.6%) resulted in an indemnity payment, with a median size of $164,988. Mean defense costs for claims resulting in payment were $83,593 (standard deviation (s.d.) $72,901). The time required to close MPL claims was longer for claims with indemnity payment than claims without (29.6 versus 18.9 months; P < .001). More than half of all claims involved a patient's death (304; 57.4%), were based on inpatient care (379; 71.5%), or involved a primary cardiovascular condition (416; 78.4%). Acute coronary syndrome was the most frequent condition (234; 44.2%). Medical professional liability claims involving noncardiovascular conditions were common (66; 12.5%) and included falls or mechanical injuries had while under a cardiologist's care and a failure to diagnose cancer. CONCLUSIONS: Rates of malpractice lawsuits are higher among cardiologists than physicians overall. A substantial portion of claims are noncardiovascular in nature.
Assuntos
Cardiologia , Doenças Cardiovasculares/epidemiologia , Formulário de Reclamação de Seguro , Responsabilidade Legal/economia , Imperícia/legislação & jurisprudência , Médicos/legislação & jurisprudência , Sistema de Registros , Cardiologia/economia , Cardiologia/legislação & jurisprudência , Feminino , Humanos , Masculino , Imperícia/economia , Médicos/economia , Estudos Retrospectivos , Estados Unidos/epidemiologia , Recursos HumanosRESUMO
What happens when patients suddenly stop their medications? We study the health consequences of drug interruptions caused by large, abrupt, and arbitrary changes in price. Medicare's prescription drug benefit as-if-randomly assigns 65-year-olds a drug budget as a function of their birth month, beyond which out-of-pocket costs suddenly increase. Those facing smaller budgets consume fewer drugs and die more: mortality increases 0.0164 percentage points per month (13.9%) for each $100 per month budget decrease (24.4%). This estimate is robust to a range of falsification checks and lies in the 97.8th percentile of 544 placebo estimates from similar populations that lack the same idiosyncratic budget policy. Several facts help make sense of this large effect. First, patients stop taking drugs that are both high value and suspected to cause life-threatening withdrawal syndromes when stopped. Second, using machine learning, we identify patients at the highest risk of drug-preventable adverse events. Contrary to the predictions of standard economic models, high-risk patients (e.g., those most likely to have a heart attack) cut back more than low-risk patients on exactly those drugs that would benefit them the most (e.g., statins). Finally, patients appear unaware of these risks. In a survey of 65-year-olds, only one-third believe that stopping their drugs for up to a month could have any serious consequences. We conclude that far from curbing waste, cost sharing is itself highly inefficient, resulting in missed opportunities to buy health at very low cost ($11,321 per life-year).