Department of Medicine, University of Illinois at Chicago, Chicago.
Center of Innovation for Complex Chronic Healthcare, Jesse Brown VA Chicago Health Care System, Chicago, Illinois.
JAMA Netw Open. 2020 Jul 1;3(7):e209644. doi: 10.1001/jamanetworkopen.2020.9644.
Evidence-based care plans can fail when they do not consider relevant patient life circumstances, termed contextual factors, such as a loss of social support or financial hardship. Preventing these contextual errors can reduce obstacles to effective care.
To evaluate the effectiveness of a quality improvement program in which clinicians receive ongoing feedback on their attention to patient contextual factors.
DESIGN, SETTING, AND PARTICIPANTS: In this quality improvement study, patients at 6 Department of Veterans Affairs outpatient facilities audio recorded their primary care visits from May 2017 to May 2019. Encounters were analyzed using the Content Coding for Contextualization of Care (4C) method. A feedback intervention based on the 4C coded analysis was introduced using a stepped wedge design. In the 4C coding schema, clues that patients are struggling with contextual factors are termed contextual red flags (eg, sudden loss of control of a chronic condition), and a positive outcome is prospectively defined for each encounter as a quantifiable improvement of the contextual red flag. Data analysis was performed from May to October 2019.
Clinicians received feedback at 2 intensity levels on their attention to patient contextual factors and on predefined patient outcomes at 4 to 6 months.
Contextual error rates, patient outcomes, and hospitalization rates and costs were measured.
The patients (mean age, 62.0 years; 92% male) recorded 4496 encounters with 666 clinicians. At baseline, clinicians addressed 413 of 618 contextual factors in their care plans (67%). After either standard or enhanced feedback, they addressed 1707 of 2367 contextual factors (72%), a significant difference (odds ratio, 1.3; 95% CI, 1.1-1.6; P = .01). In a mixed-effects logistic regression model, contextualized care planning was associated with a greater likelihood of improved outcomes (adjusted odds ratio, 2.5; 95% CI, 1.5-4.1; P < .001). In a budget analysis, estimated savings from avoided hospitalizations were $25.2 million (95% CI, $23.9-$26.6 million), at a cost of $337 242 for the intervention.
These findings suggest that patient-collected audio recordings of the medical encounter with feedback may enhance clinician attention to contextual factors, improve outcomes, and reduce hospitalizations. In addition, the intervention is associated with substantial cost savings.
当护理计划不考虑相关的患者生活环境(称为情境因素),如社会支持丧失或经济困难时,基于证据的护理计划可能会失败。预防这些情境错误可以减少有效护理的障碍。
评估一种质量改进计划的有效性,该计划中临床医生会收到关于他们对患者情境因素关注的持续反馈。
设计、设置和参与者:在这项质量改进研究中,6 家退伍军人事务部门诊设施的患者从 2017 年 5 月至 2019 年 5 月对他们的初级保健就诊进行了音频记录。使用上下文情境化编码法(4C)对就诊进行了分析。使用逐步楔形设计引入了基于 4C 编码分析的反馈干预。在 4C 编码方案中,患者正在与情境因素作斗争的线索被称为情境红旗(例如,慢性疾病突然失控),并且每个就诊都前瞻性地定义了一个阳性结果,即情境红旗的可量化改善。数据分析于 2019 年 5 月至 10 月进行。
临床医生在 4 至 6 个月时收到了关于他们对患者情境因素关注的两种强度级别的反馈以及关于预先定义的患者结果的反馈。
测量了情境错误率、患者结果、住院率和住院费用。
患者(平均年龄 62.0 岁;92%为男性)记录了 4496 次就诊和 666 名临床医生的就诊。在基线时,临床医生在他们的护理计划中解决了 618 个情境因素中的 413 个(67%)。在接受标准或增强型反馈后,他们解决了 2367 个情境因素中的 1707 个(72%),这是一个显著差异(优势比,1.3;95%置信区间,1.1-1.6;P=0.01)。在混合效应逻辑回归模型中,情境化护理计划与改善结果的可能性更大相关(调整后的优势比,2.5;95%置信区间,1.5-4.1;P<0.001)。在预算分析中,避免住院的估计节省为 2520 万美元(95%置信区间,2390 万至 2660 万美元),干预费用为 337242 美元。
这些发现表明,患者对医疗就诊的音频记录以及反馈可能会增强临床医生对情境因素的关注,改善结果并减少住院治疗。此外,该干预措施与大量成本节省相关。