Suppr超能文献

基层医疗中癌症诊断质量改进与临床决策支持工具的实施:过程评估

Implementation of a Quality Improvement and Clinical Decision Support Tool for Cancer Diagnosis in Primary Care: Process Evaluation.

作者信息

Chima Sophie, Hunter Barbara, Martinez-Gutierrez Javiera, Lumsden Natalie, Nelson Craig, Boyle Dougie, Somasundaram Kaleswari, Manski-Nankervis Jo-Anne, Emery Jon

机构信息

Department of General Practice and Primary Care, Centre for Cancer Research, University of Melbourne, 305 Grattan St, Melbourne, 3010, Australia, 61 410798352.

Department of General Practice and Primary Care, University of Melbourne, Melbourne, Australia.

出版信息

JMIR Cancer. 2025 Jun 12;11:e65461. doi: 10.2196/65461.

Abstract

BACKGROUND

For patients with cancer, the pathway to diagnosis will most often begin in general practice. In the absence of strong diagnostic features or in patients with nonspecific symptoms, delays in diagnosis can occur. Initial presentations and routine blood tests are important in determining whether a patient requires further investigation. Quality improvement interventions, including auditing tools and clinical decision support (CDS), have been developed for use in general practice to support this diagnostic process. We conducted a process evaluation of a pragmatic, cluster-randomized trial that evaluated the effectiveness of a new technology, Future Health Today (FHT), implemented in general practice to assist with the appropriate follow-up of patients at risk of undiagnosed cancer.

OBJECTIVES

This study aims to understand implementation gaps, explore differences between the general practices involved, provide context to the trial effectiveness outcomes, and understand the mechanisms behind the intervention successes and failures.

METHODS

The trial intervention consisted of the FHT tool (with CDS, audit, recall, and quality improvement components), training and educational sessions, benchmarking reports, and ongoing practice support. The 21 general practices in the intervention arm of the trial were included in the process evaluation. Process data were collected using semistructured interviews, usability and educational session surveys, engagement with intervention components, and technical logs. The Medical Research Council's Framework for Developing and Evaluating Complex Interventions was used to analyze and interpret the data.

RESULTS

The uptake of the supporting components of the intervention (training and education sessions, benchmarking reports) was low. Most practices only used the CDS component of the tool, facilitated by active delivery, with general practitioners reporting acceptability and ease of use. Complexity, time, and resources were reported as barriers to the use of the auditing tool. Access to a study coordinator and ongoing practice support facilitated the sustained involvement of practices in the trial, while contextual factors, such as the COVID-19 pandemic and staff turnover, impacted their level of participation. The relevance of the intervention varied between practices, with some practices reporting very low numbers of patients who were flagged for further investigation.

CONCLUSIONS

While some components of the intervention, such as the CDS tool, were considered to be acceptable and useful, this process evaluation highlighted barriers such as time and resources, practice differences, and considerations around the optimal amount of support needed when delivering the intervention. Addressing these in future studies may optimize the implementation process. Further work is needed to determine if a scaled-back approach, which meets the time and resource availability of a busy general practice, can effectively facilitate the implementation of CDS tools. Given the variation seen between practices, the use of the FHT cancer module may be better targeted to certain practices based on size, location, and patient demographics.

摘要

背景

对于癌症患者而言,诊断流程大多始于全科医疗。在缺乏明确诊断特征或患者出现非特异性症状时,可能会出现诊断延迟。初始症状表现和常规血液检查对于确定患者是否需要进一步检查至关重要。已开发出质量改进干预措施,包括审核工具和临床决策支持(CDS),用于全科医疗以支持这一诊断过程。我们对一项务实的整群随机试验进行了过程评估,该试验评估了一种名为“今日未来健康”(FHT)的新技术在全科医疗中的有效性,该技术旨在协助对有未确诊癌症风险的患者进行适当的后续跟进。

目的

本研究旨在了解实施差距,探究参与的全科医疗之间的差异,为试验有效性结果提供背景信息,并理解干预成功与失败背后的机制。

方法

试验干预包括FHT工具(具备CDS、审核、召回和质量改进组件)、培训和教育课程、基准报告以及持续的实践支持。试验干预组中的21家全科医疗纳入了过程评估。过程数据通过半结构化访谈、可用性和教育课程调查、对干预组件的参与情况以及技术日志收集。采用医学研究理事会的复杂干预开发与评估框架来分析和解读数据。

结果

干预的支持性组件(培训和教育课程、基准报告)的采用率较低。大多数诊所仅使用了该工具的CDS组件,通过主动提供得以促进,全科医生报告其具有可接受性且易于使用。复杂性、时间和资源被报告为使用审核工具的障碍。能够接触到研究协调员和持续的实践支持促进了诊所持续参与试验,而诸如新冠疫情和人员流动等背景因素影响了它们的参与程度。干预的相关性在不同诊所之间存在差异,一些诊所报告称被标记需进一步检查的患者数量极少。

结论

虽然干预的一些组件,如CDS工具,被认为是可接受且有用的,但该过程评估突出了诸如时间和资源、诊所差异以及在实施干预时所需最佳支持量等方面的障碍。在未来研究中解决这些问题可能会优化实施过程。需要进一步开展工作以确定一种缩减版方法,即符合繁忙的全科医疗的时间和资源可用性,是否能够有效促进CDS工具的实施。鉴于不同诊所之间存在差异,基于规模、位置和患者人口统计学特征,FHT癌症模块的使用可能更适合某些诊所。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/feab/12178568/55a8e0ef6726/cancer-v11-e65461-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验