医学
随机对照试验
整群随机对照试验
卫生行政
卫生服务研究
医疗保健
患者满意度
健康信息学
激励
质量管理
医疗之家
协议(科学)
卫生政策
护理部
家庭医学
干预(咨询)
公共卫生
营销
服务(商务)
初级保健
替代医学
微观经济学
经济
业务
病理
外科
经济增长
作者
David A. Dorr,K. John McConnell,Marsha Pierre-Jacques Williams,Kimberley Gray,Jesse Wagner,Lyle J. Fagnan,Elizabeth Malcolm
标识
DOI:10.1186/s13012-015-0204-6
摘要
Health care in the United States is in the midst of a near perfect storm: strong cost pressures, dramatic redesign efforts like patient-centered medical homes and accountable care organizations, and a broad series of payment and eligibility reforms. To date, alternative models of care intended to reduce costs and improve outcomes have shown mixed effects in the U.S., in part due to the difficulty of performing rigorous evaluation studies that control for the broader transformation while avoiding other biases, such as organizational or clinic effect on individual patient outcomes. Our objective is to test whether clinics assigned to achieve high value elements (HVEs) of practice redesign are more likely than controls to achieve improvements in patient health and satisfaction with care and reduction in costs. To prepare, we interview stakeholders, align with health reform, and propose a pilot. Participants are primary care clinics engaged in reform. Study protocol requires that both arms receive monthly practice facilitation, IT-based milestone reporting, and small financial incentives based on self-determined quality improvement (QI) goals; intervention receives additional prompting to choose HVEs. Design is a cluster randomized controlled trial over 1 year with pre- and post-washout periods. Outcomes are unplanned utilization and costs, patient experience of care, quality, and team performance. Analysis is a multivariate difference-in-difference with adjustments for patient risk, intraclinic correlation, and other confounders. The TOPMED study is a cluster randomized controlled trial focused on learning how primary care practices can transform within health reform guidelines to achieve outcomes related to the Triple Aim. ClinicalTrials.gov registration: NCT02106221 .
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