Effects of Simplified Antihypertensive Treatment Algorithm on Hypertension Management and Hypertension-Related Death in Resource-Constricted Primary Care Setting between 1997 and 2017

Abstract

Hypertension management is poor in primary care settings of developing countries, where 75% of hypertensives are living. Exploring better ways to improve hypertension management and to decrease stroke and CVD death is needed such as introducing treatment algorithm. Therefore, we selected intervention counties from Xinjiang, an underdeveloped region in China, and introduced antihypertensive treatment algorithm, comprising locally available and affordable agents, to primary health providers since 1998. Program effects were evaluated using the data collected in various ways including cross-sectional screenings to population ≥30 years between 1998 and 2015 by comparing treatment and control rates of hypertension, changes in blood pressure (BP) levels and distribution, and proportion of case/total and NCD death for CVD and stroke. Compared to 1998–2000, treatment rate was improved by 2.78 fold (11.2% vs. 32.1%, P < 0.001), and the overall and treated control rate were improved by 53.5 fold (0.2% vs. 10.7%, P < 0.001) and by 16.8 fold (2.0% vs. 33.5%, P < 0.001), respectively, in 2015. Mean SBP and DBP showed a net reduction by 33.7 mmHg (181.3 vs. 147.6 mmHg) and 21.3 mmHg (106.3 vs. 85.0 mmHg), respectively, in 2015, compared to 1998–2000 ( P < 0.001), and stage III hypertension was reduced by 75.2% (33.5 vs. 8.3%, P < 0.001). Compared to 1997–1999, stroke/NCD death was reduced by 34.1% in 2015–2017 (31.7 vs. 20.9%, P = 0.006) in the intervention counties whereas by 7.5% in control county. Introduction of treatment algorithm helps improve hypertension management and reduce stroke death in resource-constricted primary settings.

Research on Dynamic Design of Ideological and Political Education Based on Intelligent Algorithm

“…It is required not only to achieve synergy in resources, teaching, and scientific research but also to invent collaborative techniques to efficiently promote the smooth development of collaborative innovation among teachers of university and college civics courses. Various countries pay significant importance to the profound impact of artificial intelligence on education and actively encourage the deep integration of artificial intelligence and education to promote educational transformation and innovation [17][18][19][20][21]. Based on the new period, it is necessary to stick to the problem-and goal-oriented approach, supported by technology innovation, and develop a collaborative innovation platform for teachers of civics and political science courses in schools and universities, from resource sharing to creativity.…”