A Network Meta-analysis of Primary Hypertension Management Patterns in China
Background Hypertension as a risk factor can significantly increase the morbidity and mortality of cardiovascular and cerebrovascular diseases, and effective control of hypertension is the key to prevent and treat cardiovascular diseases. Objective Collect literature on the evaluation of the effecti...
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Chinese General Practice Publishing House Co., Ltd
2025-04-01
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| Series: | Zhongguo quanke yixue |
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| Online Access: | https://www.chinagp.net/fileup/1007-9572/PDF/20220872.pdf |
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| author | GU Mingyu, QIN Tingting, QIAO Kun, BAI Xinyuan, WANG Yao, YANG Yutong, LI Xingming |
| author_facet | GU Mingyu, QIN Tingting, QIAO Kun, BAI Xinyuan, WANG Yao, YANG Yutong, LI Xingming |
| author_sort | GU Mingyu, QIN Tingting, QIAO Kun, BAI Xinyuan, WANG Yao, YANG Yutong, LI Xingming |
| collection | DOAJ |
| description | Background Hypertension as a risk factor can significantly increase the morbidity and mortality of cardiovascular and cerebrovascular diseases, and effective control of hypertension is the key to prevent and treat cardiovascular diseases. Objective Collect literature on the evaluation of the effectiveness of hypertension management models in China. Evaluate the management effects of different models and provide a reference for further optimization of hypertension management models. Methods Using StataSE-64, a network Meta-analysis of the 18 included hypertension management model papers was performed using blood pressure control rates as an evaluation metric. The models included five models: joint hospital-community management, community management, hospital treatment management, general management, and combined Internet management. Results Joint hospital-community management, community management, hospital management, and combined Internet management are all effective for hypertension control. The order is joint hospital-community management ≈ combined Internet management> hospital treatment management>community management>blank control. Among them, the joint hospital-community management model has significant effect on hypertension control; the joint hospital-community management model and combined Internet management has similar effect; and hospital management has better effect than community management. Conclusion In order to improve the hypertension management model, the construction of hospital-community-family management model in primary health care institutions should be promoted, and the combination of chronic disease management model and combined Internet model should be guided to strengthen the whole-life, whole-cycle management of chronic disease patients. |
| format | Article |
| id | doaj-art-c8811d6e47f446c7a498bf8c61d44eb8 |
| institution | DOAJ |
| issn | 1007-9572 |
| language | zho |
| publishDate | 2025-04-01 |
| publisher | Chinese General Practice Publishing House Co., Ltd |
| record_format | Article |
| series | Zhongguo quanke yixue |
| spelling | doaj-art-c8811d6e47f446c7a498bf8c61d44eb82025-08-20T02:43:32ZzhoChinese General Practice Publishing House Co., LtdZhongguo quanke yixue1007-95722025-04-0128101265127210.12114/j.issn.1007-9572.2022.0872A Network Meta-analysis of Primary Hypertension Management Patterns in ChinaGU Mingyu, QIN Tingting, QIAO Kun, BAI Xinyuan, WANG Yao, YANG Yutong, LI Xingming0School of Public Health, Capital Medical University, Beijing 100069, ChinaBackground Hypertension as a risk factor can significantly increase the morbidity and mortality of cardiovascular and cerebrovascular diseases, and effective control of hypertension is the key to prevent and treat cardiovascular diseases. Objective Collect literature on the evaluation of the effectiveness of hypertension management models in China. Evaluate the management effects of different models and provide a reference for further optimization of hypertension management models. Methods Using StataSE-64, a network Meta-analysis of the 18 included hypertension management model papers was performed using blood pressure control rates as an evaluation metric. The models included five models: joint hospital-community management, community management, hospital treatment management, general management, and combined Internet management. Results Joint hospital-community management, community management, hospital management, and combined Internet management are all effective for hypertension control. The order is joint hospital-community management ≈ combined Internet management> hospital treatment management>community management>blank control. Among them, the joint hospital-community management model has significant effect on hypertension control; the joint hospital-community management model and combined Internet management has similar effect; and hospital management has better effect than community management. Conclusion In order to improve the hypertension management model, the construction of hospital-community-family management model in primary health care institutions should be promoted, and the combination of chronic disease management model and combined Internet model should be guided to strengthen the whole-life, whole-cycle management of chronic disease patients.https://www.chinagp.net/fileup/1007-9572/PDF/20220872.pdfhypertension|hypertension management model|primary health care|network meta-analysis |
| spellingShingle | GU Mingyu, QIN Tingting, QIAO Kun, BAI Xinyuan, WANG Yao, YANG Yutong, LI Xingming A Network Meta-analysis of Primary Hypertension Management Patterns in China Zhongguo quanke yixue hypertension|hypertension management model|primary health care|network meta-analysis |
| title | A Network Meta-analysis of Primary Hypertension Management Patterns in China |
| title_full | A Network Meta-analysis of Primary Hypertension Management Patterns in China |
| title_fullStr | A Network Meta-analysis of Primary Hypertension Management Patterns in China |
| title_full_unstemmed | A Network Meta-analysis of Primary Hypertension Management Patterns in China |
| title_short | A Network Meta-analysis of Primary Hypertension Management Patterns in China |
| title_sort | network meta analysis of primary hypertension management patterns in china |
| topic | hypertension|hypertension management model|primary health care|network meta-analysis |
| url | https://www.chinagp.net/fileup/1007-9572/PDF/20220872.pdf |
| work_keys_str_mv | AT gumingyuqintingtingqiaokunbaixinyuanwangyaoyangyutonglixingming anetworkmetaanalysisofprimaryhypertensionmanagementpatternsinchina AT gumingyuqintingtingqiaokunbaixinyuanwangyaoyangyutonglixingming networkmetaanalysisofprimaryhypertensionmanagementpatternsinchina |