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伴护:基于需求和资源使用的成人姑息治疗患者以患者为中心的复杂性和病例组合分类的制定——一项横断面多中心研究方案。

COMPANION: development of a patient-centred complexity and casemix classification for adult palliative care patients based on needs and resource use - a protocol for a cross-sectional multi-centre study.

机构信息

Department of Palliative Medicine, LMU University Hospital, Munich, Germany.

Helmholtz Zentrum München, Institute of Health Economics and Health Care Management, Munich, Germany.

出版信息

BMC Palliat Care. 2022 Feb 4;21(1):18. doi: 10.1186/s12904-021-00897-x.

Abstract

BACKGROUND

A casemix classification based on patients' needs can serve to better describe the patient group in palliative care and thus help to develop adequate future care structures and enable national benchmarking and quality control. However, in Germany, there is no such an evidence-based system to differentiate the complexity of patients' needs in palliative care. Therefore, the study aims to develop a patient-oriented, nationally applicable complexity and casemix classification for adult palliative care patients in Germany.

METHODS

COMPANION is a mixed-methods study with data derived from three subprojects. Subproject 1: Prospective, cross-sectional multi-centre study collecting data on patients' needs which reflect the complexity of the respective patient situation, as well as data on resources that are required to meet these needs in specialist palliative care units, palliative care advisory teams, and specialist palliative home care. Subproject 2: Qualitative study including the development of a literature-based preliminary list of characteristics, expert interviews, and a focus group to develop a taxonomy for specialist palliative care models. Subproject 3: Multi-centre costing study based on resource data from subproject 1 and data of study centres. Data and results from the three subprojects will inform each other and form the basis for the development of the casemix classification. Ultimately, the casemix classification will be developed by applying Classification and Regression Tree (CART) analyses using patient and complexity data from subproject 1 and patient-related cost data from subproject 3.

DISCUSSION

This is the first multi-centre costing study that integrates the structure and process characteristics of different palliative care settings in Germany with individual patient care. The mixed methods design and variety of included data allow for the development of a casemix classification that reflect on the complexity of the research subject. The consecutive inclusion of all patients cared for in participating study centres within the time of data collection allows for a comprehensive description of palliative care patients and their needs. A limiting factor is that data will be collected at least partly during the COVID-19 pandemic and potential impact of the pandemic on health care and the research topic cannot be excluded.

TRIAL REGISTRATION

German Register for Clinical Studies trial registration number: DRKS00020517 .

摘要

背景

基于患者需求的病例组合分类可用于更好地描述姑息治疗中的患者群体,从而有助于制定适当的未来护理结构,并实现国家基准测试和质量控制。然而,在德国,没有这样一种基于证据的系统来区分姑息治疗中患者需求的复杂性。因此,本研究旨在为德国成人姑息治疗患者开发一种面向患者的、全国适用的复杂性和病例组合分类。

方法

COMPANION 是一项混合方法研究,数据来自三个子项目。子项目 1:前瞻性、横断面多中心研究,收集反映患者病情复杂性的患者需求数据,以及满足专科姑息治疗单位、姑息治疗咨询团队和专科姑息居家护理中患者需求所需资源的数据。子项目 2:定性研究,包括基于文献的初步特征清单开发、专家访谈和焦点小组,以制定专科姑息治疗模式的分类法。子项目 3:基于子项目 1 的资源数据和研究中心的数据进行多中心成本研究。三个子项目的数据和结果将相互告知,并为病例组合分类的开发提供依据。最终,病例组合分类将通过应用子项目 1 的患者和复杂性数据以及子项目 3 的患者相关成本数据进行分类和回归树(CART)分析来开发。

讨论

这是第一项将德国不同姑息治疗环境的结构和过程特征与个体患者护理相结合的多中心成本研究。混合方法设计和包含的数据多样性允许开发反映研究主题复杂性的病例组合分类。在数据收集期间连续纳入参与研究中心接受治疗的所有患者,可全面描述姑息治疗患者及其需求。一个限制因素是,数据将至少部分在 COVID-19 大流行期间收集,不能排除大流行对医疗保健和研究主题的潜在影响。

试验注册

德国临床研究注册处临床试验注册号:DRKS00020517。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7d3/8815257/8a71c0d4604d/12904_2021_897_Fig1_HTML.jpg

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