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1.
Inquiry ; 56: 46958019841506, 2019 Jan-Dec.
Artigo em Inglês | MEDLINE | ID: mdl-30983463

RESUMO

Disenrollment rates are one way that policy makers assess the performance of Medicare Advantage (MA) health plans. We use 3 years of data published by the Centers for Medicare & Medicaid Services (CMS) to examine the characteristics of MA contracts with high disenrollment rates from 2015 to 2017 and the relationship between disenrollment rates in MA contracts and 6 patient experiences of care performance measures. We find that MA contracts with high disenrollment rates were significantly more likely to be for-profit, small, and enroll a greater proportion of low-income and disabled individuals. After adjusting for plan characteristics, contracts with the highest levels of disenrollment were statistically significantly more likely to perform poorly on all 6 patient experience measures. CMS should consider additional oversight of MA contracts with high levels of disenrollment and consider publishing disenrollment rates at the plan level instead of at the contract level.

2.
Issue Brief (Commonw Fund) ; 2019: 1-14, 2019 02 01.
Artigo em Inglês | MEDLINE | ID: mdl-30938944

RESUMO

Issue: Serving Medicare beneficiaries with complex health care needs requires understanding both the medical and social factors that may affect their health. Goal: Describe the prevalence and characteristics of high-need individuals enrolled in the Medicare Advantage program. Methods: Analysis of the 2015 Medicare Health Outcomes Survey. Key Findings: Thirty-seven percent of enrollees in large Medicare Advantage plans have high needs, requiring both medical and social services. Individuals with high needs are more likely to report having limited financial resources, low levels of education, social isolation, and poor health. Conclusion: Federal policymakers should consider allowing Medicare Advantage plans to identify high-need beneficiaries based on their medical and social risk factors, rather than just medical diagnoses. Doing so would enable plans to deliver better-targeted services that meet their members' needs and facilitate implementation of the CHRONIC Care Act provision that allows plans to offer nonhealth supplemental benefits.


Assuntos
Necessidades e Demandas de Serviços de Saúde , Medicare Part C , Múltiplas Afecções Crônicas , Determinantes Sociais da Saúde , Acidentes por Quedas , Atividades Cotidianas , Adulto , Idoso , Doença Crônica , Pesquisas sobre Serviços de Saúde , Nível de Saúde , Humanos , Transtornos da Memória , Obesidade , Isolamento Social , Apoio Social , Serviço Social , Fatores Socioeconômicos , Estados Unidos
3.
Pain Med ; 2018 Jan 09.
Artigo em Inglês | MEDLINE | ID: mdl-29325160

RESUMO

Objective: To pilot test the effectiveness, feasibility, and acceptability of instituting a 15-pill quantity default in the electronic health record for new Schedule II opioid prescriptions. Design: A mixed-methods pilot study in two health systems, including pre-post analysis of prescribed opioid quantity and focus groups or interviews with prescribers and health system administrators. Methods: We implemented a 15-pill electronic health record default for new Schedule II opioids and assessed opioid quantity before and after implementation using electronic health record data on 6,390 opioid prescriptions from 448 prescribers. We then analyzed themes from focus groups and interviews with four staff members and six prescribers. Results: The proportion of opioid prescriptions for 15 pills increased at both sites after adding an electronic health record default, with one reaching statistical significance (from 4.1% to 7.2% at CHC, P = 0.280, and 15.9% to 37.2% at WVU, P < 0.001). The proportion of 15-pill prescriptions increased among high-prescribing departments and among most high- and low-frequency prescribers, except for low-frequency prescribers at CHC. Sites reported limited challenges in instituting the default, although ease of implementation varied by electronic health record vendor. Most prescribers were not aware of the default change and stated that they made prescribing decisions based on patient clinical characteristics rather than defaults. Conclusions: This pilot provides initial evidence that changing default settings can increase the number of prescriptions at the default level. This low-cost and relatively simple intervention could have an impact on opioid overprescribing. However, default settings should be selected carefully to avoid unintended consequences.

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