Cox David J
RethinkFirst, New York, NY USA.
Endicott College, Beverly, MA USA.
Behav Anal Pract. 2024 Jun 5;17(4):949-966. doi: 10.1007/s40617-024-00937-x. eCollection 2024 Dec.
Value-based care has incrementally increased its footprint across healthcare over the past 2 decades. Several organizations in ABA have begun experimenting with various components of value-based care specific to the delivery of ABA services and it seems likely that this trend will continue into the future. For those new to value-based care, this article reviews the main conceptual components as well as common myths and misconceptions about value-based care. Though conceptually straightforward, practically pulling off value-based care in ABA will require significant advancements in data collection, analytics, sharing, and transparency that follow from broad field-wide collaboration. Further, many ethical questions will likely arise as ABA providers begin thinking about and assessing their clinical and business operations through a value-based care lens. Though value-based care will likely roll out slowly and incrementally over many years, ABA providers interested in participating or leading these conversations will likely benefit from focusing collaborative efforts around: normalizing data sharing and self-analysis; defining and developing quality and cost measures; identifying patient risk variables; addressing challenges at the intersection of public health ethics and clinical ethics; and addressing challenges at the intersection of AI ethics and clinical ethics. Most probably agree that optimizing patient outcomes is the goal of ABA services. However, doing it in an objective, measurable, and consistent manner that can be validated by third-parties will require overcoming significant challenges.
在过去20年里,基于价值的医疗保健在整个医疗行业的影响力逐渐扩大。行为分析协会(ABA)的几个组织已经开始试验针对行为分析服务提供的基于价值的医疗保健的各个组成部分,而且这种趋势似乎很可能会持续到未来。对于那些刚接触基于价值的医疗保健的人来说,本文回顾了其主要概念组成部分以及关于基于价值的医疗保健的常见误解和错误观念。虽然从概念上讲很简单,但在行为分析中实际实现基于价值的医疗保健将需要在数据收集、分析、共享和透明度方面取得重大进展,而这需要广泛的全领域合作。此外,随着行为分析服务提供者开始通过基于价值的医疗保健视角来思考和评估他们的临床和业务运营,可能会出现许多伦理问题。虽然基于价值的医疗保健可能会在许多年里缓慢且逐步地推出,但有兴趣参与或引领这些讨论的行为分析服务提供者可能会从围绕以下方面集中协作努力中受益:规范数据共享和自我分析;定义和制定质量和成本衡量标准;识别患者风险变量;解决公共卫生伦理和临床伦理交叉点的挑战;以及解决人工智能伦理和临床伦理交叉点的挑战。大多数人可能都同意,优化患者治疗效果是行为分析服务的目标。然而,要以一种客观、可衡量且一致的方式做到这一点,并能得到第三方的验证,将需要克服重大挑战。