IF 3 3区 医学Q2 CARDIAC & CARDIOVASCULAR SYSTEMSGlobal HeartPub Date : 2024-08-21eCollection Date: 2024-01-01DOI: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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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.</p><p><strong>Results: </strong>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 (<i>P</i> < 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 (<i>P</i> < 0.001).</p><p><strong>Conclusion: </strong>The IOBPM model appears to overcome the deficiencies of the CBPM model, leading to more accurate and reliable BP measurements.</p>","PeriodicalId":56018,"journal":{"name":"Global Heart","volume":"19 1","pages":"67"},"PeriodicalIF":3.0000,"publicationDate":"2024-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11342829/pdf/","citationCount":"0","resultStr":"{\"title\":\"Pilot Study of Intelligent Office Blood Pressure Measurement Model in Shanghai, China, 2022.\",\"authors\":\"Guoli Wu, Qinghua Yan, Fernando Martínez-García, Dinesh Neupane, Yuheng Wang, Fei Wu, Cui Wu, Barbara Lee Smith, Yan Shi, Minna Cheng\",\"doi\":\"10.5334/gh.1344\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>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.</p><p><strong>Methods: </strong>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. 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Pilot Study of Intelligent Office Blood Pressure Measurement Model in Shanghai, China, 2022.
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.
Global HeartMedicine-Cardiology and Cardiovascular Medicine
CiteScore
5.70
自引率
5.40%
发文量
77
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.