A consensus-based agreement on a definition of a process variable: findings from a New Zealand nominal group technique study.

IF 2.7 3区 医学 Q2 HEALTH CARE SCIENCES & SERVICES
Daniel Harvey, Steve White, Duncan Reid, Chad Cook
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Abstract

Background: Musculoskeletal pain and disability are leading causes of reduced health and significant economic costs worldwide. Individualised, and evidence-based treatment approaches for specific musculoskeletal conditions aimed at improving patient outcomes and costs have not been successful. Recently authors have suggested that the 'process' of how care is implemented within a health system needs to be considered as an influencer on patient outcomes. With the rising prevalence of musculoskeletal conditions and the burgeoning costs associated with their treatment, it seems timely that new research focusing on process variables and their influence on patients with musculoskeletal conditions is explored. Before such studies can take place, a modern definition of a process variable within a musculoskeletal care pathway is needed to anchor future research endeavours. Therefore, the aim of this study was to establish a consensus-based definition of a process variable within a musculoskeletal care pathway, based on a New Zealand setting.

Methods: This study used a virtual nominal group technique and took place in July 2023 using a Microsoft Teams platform. A nominal group technique employs a structured approach to generate information and solutions to problems that can then be prioritised through group discussion and consensus. It is unique because it allows expert participants to explore using in-depth inquiry, areas previously unidentified or not yet investigated. There was an inclusion criterion and the participants completed pre-work before the two-hour five stage virtual meeting. The Auckland University of Technology Ethics Committee (AUTEC) approved this study (AUTEC 23/94).

Results: The study included eight participants (five male, three female) who had extensive experience with the New Zealand ACC insurance scheme and the design, implementation, and administration of musculoskeletal care pathways. The consensus definition was 'A health process variable is any modifiable factor in a health process or pathway that can be quantified and measured and that if varied may achieve a different operational or patient outcome'.

Conclusions: This study of New Zealand-based experts has formed a consensus-based agreement for a definition of a process variable in a musculoskeletal care pathway. This is an important first step in developing our understanding of process variables, and further research is needed to establish the link between process variables and their influence on the outcomes of patients with musculoskeletal conditions.

基于共识的过程变量定义协议:新西兰名义小组技术研究的结果。
背景:肌肉骨骼疼痛和残疾是导致全球健康水平下降和经济成本大幅增加的主要原因。针对特定肌肉骨骼疾病的个体化循证治疗方法旨在改善患者的治疗效果并降低成本,但这种方法并不成功。最近有学者提出,医疗系统内实施治疗的 "过程 "需要被视为影响患者治疗效果的因素。随着肌肉骨骼疾病发病率的不断上升,以及与之相关的治疗成本的急剧增加,现在似乎是时候对流程变量及其对肌肉骨骼疾病患者的影响进行新的研究了。在开展此类研究之前,需要对肌肉骨骼疾病治疗路径中的过程变量进行现代定义,以便为未来的研究工作奠定基础。因此,本研究的目的是以新西兰为背景,为肌肉骨骼护理路径中的过程变量建立一个基于共识的定义:本研究采用虚拟名义小组技术,于 2023 年 7 月在微软团队平台上进行。名义小组技术采用结构化方法来生成信息和问题解决方案,然后通过小组讨论和达成共识来确定优先次序。它的独特之处在于,它允许专家参与者通过深入探究的方式,探索以前未发现或尚未调查过的领域。在两小时五个阶段的虚拟会议之前,与会者完成了前期工作。奥克兰理工大学伦理委员会(AUTEC)批准了这项研究(AUTEC 23/94):这项研究包括八名参与者(五名男性,三名女性),他们在新西兰 ACC 保险计划以及肌肉骨骼护理路径的设计、实施和管理方面拥有丰富的经验。一致同意的定义是:"健康流程变量是指健康流程或路径中任何可以量化和测量的可改变因素,如果改变这些因素,可能会实现不同的操作或患者结果":这项由新西兰专家进行的研究就肌肉骨骼护理路径中的过程变量定义达成了共识。这是我们了解过程变量的重要的第一步,还需要进一步的研究来确定过程变量之间的联系及其对肌肉骨骼疾病患者治疗效果的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
BMC Health Services Research
BMC Health Services Research 医学-卫生保健
CiteScore
4.40
自引率
7.10%
发文量
1372
审稿时长
6 months
期刊介绍: BMC Health Services Research is an open access, peer-reviewed journal that considers articles on all aspects of health services research, including delivery of care, management of health services, assessment of healthcare needs, measurement of outcomes, allocation of healthcare resources, evaluation of different health markets and health services organizations, international comparative analysis of health systems, health economics and the impact of health policies and regulations.
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