Lu Yuan, Arowojolu Oreoluwa, Qiu Xiaoliang, Liu Yuntian, Curry Leslie, Krumholz Harlan M
Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut, USA.
Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, USA.
medRxiv. 2024 Jan 13:2024.01.12.24301223. doi: 10.1101/2024.01.12.24301223.
Hypertension poses a significant public health challenge. Despite clinical practice guidelines for hypertension management, clinician adherence to these guidelines remains suboptimal.
This study aims to develop a taxonomy of suboptimal adherence scenarios for severe hypertension and identify barriers to guideline adherence.
We conducted a qualitative content analysis using electronic health records (EHRs) of Yale New Haven Health System who had at least two consecutive visits between January 1, 2013, and October 31, 2018.
This was a thematic analysis of EHR data to generate a real-world taxonomy of scenarios of suboptimal clinician guideline adherence in the management of severe hypertension.
We identified patients with markedly elevated blood pressure ([BP]; defined as at least 2 consecutive readings of BP ≥160/100 mmHg) and no prescription for antihypertensive medication within a 90-day of the 2 BP elevation (n=4,828). We randomly selected 100 records from the group of all eligible patients for qualitative analysis.
The scenarios and influencing factors contributing to clinician non-adherence to the guidelines for hypertension management.
Thematic saturation was reached after analyzing 100 patient records. Three content domains emerged: clinician-related scenarios (neglect and diffusion of responsibility), patient-related scenarios (patient non-adherence and patient preference), and clinical complexity-related scenarios (diagnostic uncertainty, maintenance of current intervention and competing medical priorities). Through a metareview of literature, we identified several plausible influencing factors, including a lack of protocols and processes that clearly define the roles within the institution to implement guidelines, infrastructure limitations, and clinicians' lack of autonomy and authority, excessive workload, time constraints, clinician belief that intervention was not part of their role, or perception that guidelines restrict clinical judgment.
This study illuminates reasons for suboptimal adherence to guidelines for managing markedly elevated BP. The taxonomy of suboptimal adherence scenarios, derived from real-world EHR data, is pragmatic and provides a basis for developing targeted interventions to improve clinician guideline adherence and patient outcomes.
高血压对公共卫生构成重大挑战。尽管有高血压管理的临床实践指南,但临床医生对这些指南的遵循情况仍不尽人意。
本研究旨在制定严重高血压次优依从情况的分类法,并确定指南遵循的障碍。
我们使用耶鲁纽黑文医疗系统的电子健康记录(EHR)进行了定性内容分析,这些记录来自于2013年1月1日至2018年10月31日期间至少有两次连续就诊的患者。
这是对EHR数据的主题分析,以生成严重高血压管理中临床医生次优遵循指南情况的真实世界分类法。
我们确定了血压显著升高([BP];定义为至少连续两次血压读数≥160/100 mmHg)且在两次血压升高的90天内未开具抗高血压药物处方的患者(n = 4,828)。我们从所有符合条件的患者组中随机选择100份记录进行定性分析。
导致临床医生不遵循高血压管理指南的情况和影响因素。
在分析了100份患者记录后达到了主题饱和。出现了三个内容领域:与临床医生相关的情况(忽视和责任分散)、与患者相关的情况(患者不依从和患者偏好)以及与临床复杂性相关的情况(诊断不确定性、维持当前干预措施和相互竞争的医疗优先事项)。通过对文献的元分析,我们确定了几个可能的影响因素,包括缺乏明确界定机构内实施指南角色的方案和流程、基础设施限制、临床医生缺乏自主权和权威、工作量过大、时间限制、临床医生认为干预不属于其职责范围,或认为指南限制临床判断。
本研究阐明了对显著升高血压管理指南次优遵循的原因。从真实世界的EHR数据得出的次优依从情况分类法是务实的,并为制定有针对性的干预措施以提高临床医生对指南的遵循情况和患者结局提供了基础。