Center for Evidence-based Medicine and Health Outcomes Research, University of South Florida, Tampa, FL, USA.
BMC Med Inform Decis Mak. 2011 Dec 23;11:77. doi: 10.1186/1472-6947-11-77.
Despite the well documented advantages of hospice care, most terminally ill patients do not reap the maximum benefit from hospice services, with the majority of them receiving hospice care either prematurely or delayed. Decision systems to improve the hospice referral process are sorely needed.
We present a novel theoretical framework that is based on well-established methodologies of prognostication and decision analysis to assist with the hospice referral process for terminally ill patients. We linked the SUPPORT statistical model, widely regarded as one of the most accurate models for prognostication of terminally ill patients, with the recently developed regret based decision curve analysis (regret DCA). We extend the regret DCA methodology to consider harms associated with the prognostication test as well as harms and effects of the management strategies. In order to enable patients and physicians in making these complex decisions in real-time, we developed an easily accessible web-based decision support system available at the point of care.
The web-based decision support system facilitates the hospice referral process in three steps. First, the patient or surrogate is interviewed to elicit his/her personal preferences regarding the continuation of life-sustaining treatment vs. palliative care. Then, regret DCA is employed to identify the best strategy for the particular patient in terms of threshold probability at which he/she is indifferent between continuation of treatment and of hospice referral. Finally, if necessary, the probabilities of survival and death for the particular patient are computed based on the SUPPORT prognostication model and contrasted with the patient's threshold probability. The web-based design of the CDSS enables patients, physicians, and family members to participate in the decision process from anywhere internet access is available.
We present a theoretical framework to facilitate the hospice referral process. Further rigorous clinical evaluation including testing in a prospective randomized controlled trial is required and planned.
尽管临终关怀有充分的文献记录的优势,但大多数绝症患者并没有从临终关怀服务中获得最大的益处,他们中的大多数人要么过早,要么延迟接受临终关怀。迫切需要决策系统来改善临终关怀转介流程。
我们提出了一个新的理论框架,该框架基于预后和决策分析的成熟方法,以帮助进行绝症患者的临终关怀转介流程。我们将广泛认为是预测绝症患者预后最准确的模型之一的 SUPPORT 统计模型与最近开发的基于遗憾的决策曲线分析(regret DCA)联系起来。我们扩展了遗憾 DCA 方法,以考虑与预后测试相关的危害以及管理策略的危害和效果。为了使患者和医生能够实时做出这些复杂的决策,我们开发了一个易于访问的基于网络的决策支持系统,可在护理点使用。
基于网络的决策支持系统通过三个步骤促进临终关怀转介流程。首先,对患者或其代理人进行访谈,以了解他/她对继续维持生命治疗与姑息治疗的个人偏好。然后,使用遗憾 DCA 来确定针对特定患者的最佳策略,具体而言,是根据他/她在继续治疗和转介临终关怀之间无差异的阈值概率来确定最佳策略。最后,如果需要,根据 SUPPORT 预后模型计算特定患者的生存和死亡概率,并将其与患者的阈值概率进行对比。CDSS 的基于网络的设计使患者、医生和家庭成员能够从任何可以访问互联网的地方参与决策过程。
我们提出了一个理论框架来促进临终关怀转介流程。需要并计划进行进一步的严格临床评估,包括前瞻性随机对照试验。