PDF(Pubmed)
Abstract：
UNASSIGNED: Palliative care is characterised by heterogeneous patient and caregiver populations who are provided care in different health systems and a research base including a large proportion of observational, mostly retrospective studies. The inherent diversity of palliative care populations and the often inadequate study descriptions challenge the application of new knowledge into practice and reproducibility for confirmatory studies. Being able to define systematically study populations would significantly increase their generalisability and effective translation into practice.
UNASSIGNED: Based on an informal consensus process by active palliative care researchers challenged by this problem and a review of the current evidence, we propose an approach to creating more comparable cohorts in observational (non-randomised) palliative care studies that relies on defining the study population in relation to a fixed, well-defined event from which analyses are built (\'anchoring\'). In addition to providing a detailed and complete description of the study population, anchoring is the critical step in creating more comparable cohorts in observational palliative care studies. Anchoring can be done with respect to a single or multiple data points, and can support both prospective and retrospective data collection and analysis.
UNASSIGNED: Anchoring the cohort to reproducible data points will help create more comparable cohorts in palliative care whilst mitigating its inherent heterogeneity. This, in turn, will help optimise the generalisability, applicability and reproducibility of observational palliative care studies to strengthen the evidence base and improve practice.
UNASSIGNED: Based on an informal consensus process by active palliative care researchers challenged by this problem and a review of the current evidence, we propose an approach to creating more comparable cohorts in observational (non-randomised) palliative care studies that relies on defining the study population in relation to a fixed, well-defined event from which analyses are built (\'anchoring\'). In addition to providing a detailed and complete description of the study population, anchoring is the critical step in creating more comparable cohorts in observational palliative care studies. Anchoring can be done with respect to a single or multiple data points, and can support both prospective and retrospective data collection and analysis.
UNASSIGNED: Anchoring the cohort to reproducible data points will help create more comparable cohorts in palliative care whilst mitigating its inherent heterogeneity. This, in turn, will help optimise the generalisability, applicability and reproducibility of observational palliative care studies to strengthen the evidence base and improve practice.
摘要：
■姑息治疗的特点是病人和照顾者群体不同，他们在不同的卫生系统和研究基础上提供护理，包括大部分的观察，主要是回顾性研究。姑息治疗人群的固有多样性和通常不充分的研究描述挑战了将新知识应用于实践和验证性研究的可重复性。能够系统地定义研究人群将显着提高其普遍性和有效转化为实践。
■基于主动姑息治疗研究人员对这一问题提出挑战的非正式共识过程以及对当前证据的回顾，我们提出了一种在观察性（非随机）姑息治疗研究中创建更具可比性的队列的方法，该方法依赖于定义与固定，建立分析的定义良好的事件(\'锚定\')。除了提供研究人群的详细和完整的描述外，锚定是在观察性姑息治疗研究中创建更多可比较队列的关键步骤.可以针对单个或多个数据点进行锚定，并且可以支持前瞻性和回顾性数据收集和分析。
■将队列锚定到可重复的数据点将有助于在姑息治疗中创建更多可比的队列，同时减轻其固有的异质性。这个,反过来,将有助于优化通用性，观察性姑息治疗研究的适用性和可重复性，以加强证据基础和改进实践。
■基于主动姑息治疗研究人员对这一问题提出挑战的非正式共识过程以及对当前证据的回顾，我们提出了一种在观察性（非随机）姑息治疗研究中创建更具可比性的队列的方法，该方法依赖于定义与固定，建立分析的定义良好的事件(\'锚定\')。除了提供研究人群的详细和完整的描述外，锚定是在观察性姑息治疗研究中创建更多可比较队列的关键步骤.可以针对单个或多个数据点进行锚定，并且可以支持前瞻性和回顾性数据收集和分析。
■将队列锚定到可重复的数据点将有助于在姑息治疗中创建更多可比的队列，同时减轻其固有的异质性。这个,反过来,将有助于优化通用性，观察性姑息治疗研究的适用性和可重复性，以加强证据基础和改进实践。
