Kaiser Permanente Washington Health Research Institute, Seattle, Washington, USA.
Arthritis Research UK Primary Care Centre, Research Institute for Primary Care and Health Sciences, Keele University, Keele, Staffordshire, UK.
Pain Med. 2019 Jun 1;20(6):1105-1119. doi: 10.1093/pm/pny170.
To support implementation of effective treatments for back pain that can be delivered to a range of people, we summarize learnings from our process evaluation of the MATCH trial's implementation of an adaptation of the STarT Back risk-stratified care model.
Our logic model-driven evaluation focused primarily on qualitative data sources.
This study took place in a US-based health care delivery system that had adapted and implemented the STarT Back stratified care approach. This was the first formal test of the strategy in a US setting.
Data collection included observation of implementation activities, staff/provider interviews, and post-training evaluation questionnaires. Data were analyzed using thematic analysis of qualitative data and descriptive statistics for questionnaire data.
We found that both primary care teams and physical therapists at intervention clinics gave the training high scores on evaluation questionnaires and reported in the interviews that they found the training engaging and useful. However, there was significant variation in the extent to which the risk stratification strategy was incorporated into care. Some primary care providers reported that the intervention changed their conversations with patients and increased their confidence in working with patients with back pain. Providers using the STarT Back tool did not change referral rates for recommended matched treatments.
These insights provide guidance for future efforts to adapt and implement the STarT Back strategy and other complex practice change interventions. They emphasize the need for primary care-based interventions to minimize complexity and the need for ongoing monitoring and feedback.
为了支持针对背痛的有效治疗方法的实施,这些方法可以适用于各种人群,我们总结了 MATCH 试验实施 STarT 背部风险分层护理模型改编版的实施过程评估中的经验教训。
我们的逻辑模型驱动评估主要关注定性数据源。
本研究在美国医疗服务提供系统中进行,该系统已经对 STarT 背部分层护理方法进行了调整和实施。这是该策略在美国的首次正式测试。
数据收集包括对实施活动的观察、员工/提供者访谈以及培训后评估问卷。使用定性数据分析的主题分析和问卷数据的描述性统计对数据进行分析。
我们发现,初级保健团队和干预诊所的物理治疗师在评估问卷中对培训给予了很高的评价,并在访谈中报告说他们发现培训很吸引人且有用。然而,风险分层策略在多大程度上被纳入护理方面存在显著差异。一些初级保健提供者报告说,干预改变了他们与患者的对话,并增强了他们与背痛患者合作的信心。使用 STarT Back 工具的提供者没有改变对推荐的匹配治疗的转诊率。
这些见解为未来调整和实施 STarT Back 策略和其他复杂实践改变干预措施提供了指导。它们强调了基于初级保健的干预措施需要最小化复杂性,并需要进行持续监测和反馈。