Pilot Study of Intelligent Office Blood Pressure Measurement Model in Shanghai, China, 2022.

IF 3 3区医学 Q2 CARDIAC & CARDIOVASCULAR SYSTEMS

Global Heart Pub Date : 2024-08-21 eCollection Date: 2024-01-01 DOI:10.5334/gh.1344

Guoli Wu, Qinghua Yan, Fernando Martínez-García, Dinesh Neupane, Yuheng Wang, Fei Wu, Cui Wu, Barbara Lee Smith, Yan Shi, Minna Cheng

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引用次数: 0

Abstract

Introduction: An intelligent office blood pressure measurement (IOBPM) model for community-based hypertension management was piloted in Shanghai, China, to overcome the conventional blood pressure management (CBPM) model's deficiencies.

Methods: We selected adults aged 35-89 years who were being treated and managed for hypertension in two community health centers for the IOBPM and CBPM models. The IOBPM model consisted of two or three consecutive blood pressure (BP) measurements using a pre-programmed and validated automatic device. The BP data for the CBPM model were obtained from the routine follow-up records of hypertensive patients and derived from the Shanghai Non-communicable Diseases Management Information System. Subjects in the IOBPM model were selected by a simple random sampling method, and propensity score matching was used to select a comparable control population from the CBPM model based on important covariables. The BP levels, end-digit preferences, frequency distribution, and BP control were compared between the two models.

Results: We selected 2,909 patients for the IOBPM model and 5,744 for the CBPM model. The systolic BP in the CBPM model was 12.3 mmHg lower than in the IOBPM model. In the CBPM model, there were statistically significant end-digit preferences (P < 0.001), with zero being the most reported end-digit (23.3% for systolic BP and 27.7% for diastolic BP). There was no significant end-digit preference in the IOBPM model. Certain BP values below 140/90 mmHg in the CBPM model were more frequent, while the IOBPM model showed a normal distribution. The BP control in the CBPM model was significantly higher than the IOBPM model (P < 0.001).

Conclusion: The IOBPM model appears to overcome the deficiencies of the CBPM model, leading to more accurate and reliable BP measurements.

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2022 年中国上海智能办公室血压测量模式试点研究》。

导言：为克服传统血压管理（CBPM）模式的不足，在中国上海试点了一种智能办公室血压测量（IOBPM）模式，用于社区高血压管理：为了克服传统血压管理（CBPM）模式的不足，我们在中国上海试行了社区高血压管理的智能办公室血压测量（IOBPM）模式：方法：我们在两个社区卫生服务中心选取了 35-89 岁正在接受高血压治疗和管理的成年人，分别采用 IOBPM 和 CBPM 模式。IOBPM 模型包括使用预先编程并经过验证的自动装置连续测量两到三次血压 (BP)。CBPM 模型的血压数据来自高血压患者的常规随访记录，数据来源于上海市非传染性疾病管理信息系统。IOBPM 模型中的受试者通过简单随机抽样方法选出，并根据重要协变量采用倾向得分匹配法从 CBPM 模型中选出可比对照人群。比较了两种模型的血压水平、末位偏好、频率分布和血压控制情况：结果：我们在 IOBPM 模型中选择了 2,909 名患者，在 CBPM 模型中选择了 5,744 名患者。CBPM 模型的收缩压比 IOBPM 模型低 12.3 mmHg。在 CBPM 模型中，对末端数字的偏好具有显著的统计学意义（P < 0.001），0 是报告最多的末端数字（收缩压为 23.3%，舒张压为 27.7%）。在 IOBPM 模型中没有明显的末位偏好。在 CBPM 模式中，某些血压值低于 140/90 mmHg 的情况更为常见，而在 IOBPM 模式中则呈正态分布。CBPM 模式的血压控制率明显高于 IOBPM 模式（P < 0.001）：结论：IOBPM 模型似乎克服了 CBPM 模型的不足，使血压测量更准确、更可靠。

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

Global Heart Medicine-Cardiology and Cardiovascular Medicine

CiteScore

5.70

自引率

5.40%

发文量

审稿时长

5 weeks

期刊介绍： Global Heart offers a forum for dialogue and education on research, developments, trends, solutions and public health programs related to the prevention and control of cardiovascular diseases (CVDs) worldwide, with a special focus on low- and middle-income countries (LMICs). Manuscripts should address not only the extent or epidemiology of the problem, but also describe interventions to effectively control and prevent CVDs and the underlying factors. The emphasis should be on approaches applicable in settings with limited resources. Economic evaluations of successful interventions are particularly welcome. We will also consider negative findings if important. While reports of hospital or clinic-based treatments are not excluded, particularly if they have broad implications for cost-effective disease control or prevention, we give priority to papers addressing community-based activities. We encourage submissions on cardiovascular surveillance and health policies, professional education, ethical issues and technological innovations related to prevention. Global Heart is particularly interested in publishing data from updated national or regional demographic health surveys, World Health Organization or Global Burden of Disease data, large clinical disease databases or registries. Systematic reviews or meta-analyses on globally relevant topics are welcome. We will also consider clinical research that has special relevance to LMICs, e.g. using validated instruments to assess health-related quality-of-life in patients from LMICs, innovative diagnostic-therapeutic applications, real-world effectiveness clinical trials, research methods (innovative methodologic papers, with emphasis on low-cost research methods or novel application of methods in low resource settings), and papers pertaining to cardiovascular health promotion and policy (quantitative evaluation of health programs.