Construction and preliminary application of a lifestyle decision support system for population with high-normal blood pressure
Objective To construct a lifestyle decision support system for people with high normal blood pressure,and assess its effectiveness and usability in lifestyle management for people with high normal blood pressure.Methods A system development team was established to build an evidence-based lifestyle decision support system for people with high normal blood pressure.The system consists of a mobile application and a desktop management system.The mobile application includes the health assessment,decision results(including data overview/traditional Chinese medicine health care/nutritional recipes/energizing exercises/spiritual space),and data recording.The desktop management system includes user management and data supplementation,decision management,and data analysis.20 patients with high normal blood pressure were recruited from September 19,2022 to November 14,2022 at the Hangzhou Community Health Service Center for the initial application of the system.Results After using lifestyle decision support system,the population with high-normal blood pressure revealed statistically significant differences(P＜0.05)in systolic blood pressure,moderate physical activity time per week,stress,anxiety,depression,self-management ability,and halophilic behavior.The majority of the high-normal blood pressure population(14 cases)and community healthcare workers(5 cases)rated the usability of lifestyle decision support system as Good.Conclusion The lifestyle decision support system constructed in this study is scientific and feasible,and can provide professional lifestyle guidance for individuals with high-normal blood pressure.The lifestyle decision support system plays a positive role in improving the unhealthy lifestyle of people with high-normal blood pressure,and provides an auxiliary decision-making system for people with high-normal blood pressure and community healthcare workers.
High-Normal Blood Pressu reLifestyleHealth ManagementDecision Support SystemNursing Care
万方数据
维普
