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Qin T, Li X, Qiao K, Bai X, Gu M, Wang Y. Utilizing Group Model Building to Identify Barriers and Facilitators of Hypertension Management in Primary Health Care, China. Risk Manag Healthc Policy 2024; 17:1227-1237. [PMID: 38765783 PMCID: PMC11100508 DOI: 10.2147/rmhp.s454748] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Accepted: 04/12/2024] [Indexed: 05/22/2024] Open
Abstract
Purpose Group Model Building (GMB) is a qualitative method that refers to a participatory process. This project aims to identify barriers and facilitators of hypertension management in primary health care in China, through which, the leverage point for intervention may be found. Methods The GMB was used to identify the factors influencing hypertension management. Graphs over time and causal loop diagram (CLD) were main tools of GMB. To propose the influencing factors, key stakeholders were invited to participate in a workshop. During the workshop, stakeholders were encouraged to plot the graphs over time of the variables about research issues and give a descriptive explanation. And based on this, a CLD was initially developed to establish a model of the interaction of factors. After the workshop, the research group further improved the CLD through repeated mutual discussions, and gave feedback to the participants. The Vensim PLE 9.0 software package was used to build CLD. Results A total of 14 key stakeholders were invited to participate in the workshop. Finally, 26 influencing factors were identified, which were divided into three dimensions, including the institutional, the community health workers (CHWs), and the patient level. And 5 reinforcing loops and 4 balancing loops were formed in the CLD. Promoting the building of the Medical Community/Regional Medical Association, implementing the family doctor contract service (FDCS), and enhancing the motivation of CHWs may be potential leverage points for hypertension management in China. Conclusion By using GMB, we have identified key factors in the management of hypertension in primary health care and provided comprehensive suggestions to overcome the obstacles.
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Affiliation(s)
- Tingting Qin
- School of Public Health, Capital Medical University, Beijing, People’s Republic of China
| | - Xingming Li
- School of Public Health, Capital Medical University, Beijing, People’s Republic of China
| | - Kun Qiao
- School of Public Health, Capital Medical University, Beijing, People’s Republic of China
| | - Xinyuan Bai
- School of Public Health, Capital Medical University, Beijing, People’s Republic of China
| | - Mingyu Gu
- School of Public Health, Capital Medical University, Beijing, People’s Republic of China
| | - Yao Wang
- School of Public Health, Capital Medical University, Beijing, People’s Republic of China
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Shi J, Tao Y, Chen S, Zhou Z, Meng L, Duan C, Zhou B, Yu P. Interaction between hypertension and frailty and their impact on death risk in older adults: a follow-up study. BMC Geriatr 2024; 24:187. [PMID: 38402390 PMCID: PMC10893602 DOI: 10.1186/s12877-024-04793-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2023] [Accepted: 02/08/2024] [Indexed: 02/26/2024] Open
Abstract
BACKGROUND Hypertension and frailty often occur concurrently, exhibiting increasing prevalence in the older population. In this study, we analyzed the frailty status among older adults with hypertension and the impact of their interaction on death risk. METHOD This prospective cohort survey study included data from older people in an urban community in Beijing collected between 2009 and 2020 using the cluster random sampling method. The participants were older adults who were ≥ 60 years old at the time of investigation and had lived at the place of investigation for > 1 year. The survey variables comprised those related to health and frailty status assessed during the 2009 baseline survey, along with death-related information as outcome variables in 2020. Additionally, a frailty index (FI) model was used to examine the frailty status among the older adults at baseline. The effects of hypertension prevalence on the age-related frailty changes as well as on mortality for varying degrees of frailty were further analyzed. Lastly, Cox regression and Kaplan-Meier curves were applied to evaluate the impact of the interaction between hypertension and frailty on death risk. RESULTS Ultimately, 1197 older individuals aged between 60 and 101 years(average age at baseline: 74.8 ± 8.6 years) were included .Among them, 475 individuals were men (mean age:74.8 ± 8.8 years), and 722 were women (mean age:74.8 ± 8.4 years).Frailty was identified in 151 individuals, leading to a prevalence rate of 12.6%(151/1197),while hypertension was detected in 593 (prevalence rate:49.5% [593/1197]).A total of 443 deaths were recorded by 2020, resulting in a mortality rate of 37.0% (443/1197).Moreover, FI values and mortality rates were higher at any age in older adults with hypertension compared with those without hypertension. Survival time analysis showed that the median survival time of older adults with hypertension and frailty was the shortest (39.0[95%CI: 35.6-42.3] months)when compared with that of older adults without hypertension but with frailty (52.9 [95%CI: 46.6-59.3] months), those with hypertension but without frailty (102.7 [95%CI: 98.7-106.8] months), and those without hypertension and frailty (127.9 [95%CI: 113.5-134.7] months),with log-rank x2 = 999.686 and P < 0.001. Furthermore, Cox regression results demonstrated that older adults with hypertension and frailty had the highest death risk when compared with that of older adults without hypertension and frailty (HR = 1.792, P < 0.001), those without hypertension but with frailty (HR = 1.484, P < 0.001), and those with hypertension but without frailty (HR = 1.406, P = 0.005). CONCLUSION Frailty is prevalent among older adults with hypertension; however, older adults with both hypertension and frailty have a relatively higher mortality risk. Therefore, screening and assessment of frailty in the older population with hypertension are crucial for its early identification, thereby enabling timely and appropriate interventions to prevent or delay the adverse effects of this concurrent condition.
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Affiliation(s)
- Jing Shi
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, Beijing, 100730, China
| | - Yongkang Tao
- Department of Gastroenterology, China-Japan Friendship Hospital, Beijing, 100029, China
| | - Shuqiang Chen
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, Beijing, 100730, China
| | - Ziyi Zhou
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, Beijing, 100730, China
| | - Li Meng
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, Beijing, 100730, China
| | - Chunbo Duan
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, Beijing, 100730, China
| | - Baiyu Zhou
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, Beijing, 100730, China
| | - Pulin Yu
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, Beijing, 100730, China.
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Ji CY, Yang LR. Perioperative nursing care for hip arthroplasty patients with concomitant hypertension: A minireview. World J Clin Cases 2023; 11:8440-8446. [PMID: 38188203 PMCID: PMC10768512 DOI: 10.12998/wjcc.v11.i36.8440] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Revised: 10/18/2023] [Accepted: 12/08/2023] [Indexed: 12/22/2023] Open
Abstract
Hip replacement (HA) is mainly indicated for the elderly, who generally suffer from various underlying diseases such as hypertension. This article provides a review of the key points of perioperative nursing care for patients with hypertension undergoing HA. It analyzes the key points of care during the perioperative period (preoperative, intraoperative, and postoperative) and proposes directions for the development of perioperative nursing care for HA. The prognosis for patients can be improved through the modification of traditional medical approaches and the application of new technologies and concepts.
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Affiliation(s)
- Chang-Yue Ji
- Department of Orthopedic Sports Medicine Joint Surgery, The First Affiliated Hospital of China Medical University, Shenyang 110001, Liaoning Province, China
| | - Li-Ru Yang
- Department of Cardiovascular Medicine, The First Affiliated Hospital of China Medical University, Shenyang 110001, Liaoning Province, China
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Zhou B, Wang Z, Dou Q, Li W, Li Y, Yan Z, Sun P, Zhao B, Li X, Shen F, Zhang B, Guo M. Long-term outcomes of esophageal and gastric cancer patients with cardiovascular and metabolic diseases: A two-center propensity score-matched cohort study. J Transl Int Med 2023; 11:234-245. [PMID: 37818156 PMCID: PMC10561076 DOI: 10.2478/jtim-2023-0112] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/12/2023] Open
Abstract
Background and Objectives An increased risk of cardiovascular and metabolic diseases (CVMDs) among patients with cancer suggests a potential link between CVMD and cancer. The impact of CVMD on the survival time of patients with esophageal and gastric cancer remains unknown. We aimed to determine the incidence of CVMD and its impact on the longterm outcomes in esophageal and gastric cancer patients. Methods A total of 2074 cancer patients were enrolled from January 1, 2007 to December 31, 2017 in two hospitals, including 1205 cases of esophageal cancer and 869 cases of gastric cancer, who were followed up for a median of 79.8 and 79.3 months, respectively. Survival time was analyzed using the Kaplan-Meier method before and after propensity score matching. Results The incidence of CVMD in patients with esophageal and gastric cancer was 34.1% (411/1205) and 34.3% (298/869), respectively. The effects of hypertension, diabetes, and stroke on the long-term survival of esophageal and gastric cancer patients were not significant (all P > 0.05). The survival time was significantly longer in esophageal cancer patients without ischemic heart disease than in patients with ischemic heart disease, both before matching (36.5 vs. 29.1 months, P = 0.027) and after matching (37.4 vs. 27.9 months, P = 0.011). The survival time in gastric cancer patients without ischemic heart disease was significantly longer than in patients with ischemic heart disease, both before (28.4 vs.17.5 months, P = 0.032) and after matching (29.5 vs.17.5 months, P = 0.02). Conclusion The survival time of esophageal and gastric cancer patients with ischemic heart disease was significantly reduced compared to that of esophageal and gastric cancer patients without ischemic heart disease.
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Affiliation(s)
- Bo Zhou
- Department of Gastroenterology and Hepatology, Chinese PLA General Hospital, Beijing100853, China
| | - Zhixin Wang
- Department of Gastroenterology and Hepatology, the First Medical Center, The Third Affiliated Hospital of Xinxiang Medical University, Xinxiang453003, Henan Province, China
| | - Qifeng Dou
- Department of Urology Surgery, The First Affiliated Hospital of Xinxiang Medical University, Xinxiang453199, Henan Province, China
| | - Wenbin Li
- Department of Cardiovascular Surgery, Beijing Anzhen Hospital affiliated to Capital Medical University, Beijing100029, China
| | - Yangyang Li
- Department of Cardiovascular Surgery, Henan Provincial Chest Hospital, Zhengzhou450008, Henan Province, China
| | - Zhengqiang Yan
- Department of General Surgery, The First Affiliated Hospital of Xinxiang Medical University, Xinxiang453199, Henan Province, China
| | - Peisheng Sun
- Department of General Surgery, The First Affiliated Hospital of Xinxiang Medical University, Xinxiang453199, Henan Province, China
| | - Baosheng Zhao
- Department of Thoracic Surgery, The First Affiliated Hospital of Xinxiang Medical University, Xinxiang453199, Henan Province, China
| | - Xiumin Li
- Department of Gastroenterology and Hepatology, the First Medical Center, The Third Affiliated Hospital of Xinxiang Medical University, Xinxiang453003, Henan Province, China
- Henan Key Laboratory of Tumor Molecular Therapy Medicine, Xinxiang Medical University, Xinxiang453003, Henan Province, China
| | - Fangfang Shen
- The Key Laboratory for Tumor Translational Medicine, The Third Affiliated Hospital of Xinxiang Medical University, Xinxiang453003, Henan Province, China
| | - Bangjie Zhang
- Department of Gastroenterology and Hepatology, the First Medical Center, The Third Affiliated Hospital of Xinxiang Medical University, Xinxiang453003, Henan Province, China
| | - Mingzhou Guo
- Department of Gastroenterology and Hepatology, Chinese PLA General Hospital, Beijing100853, China
- Department of Gastroenterology and Hepatology, the First Medical Center, The Third Affiliated Hospital of Xinxiang Medical University, Xinxiang453003, Henan Province, China
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Li S, Liu Z, Joseph P, Hu B, Yin L, Tse LA, Rangarajan S, Wang C, Wang Y, Islam S, Liu W, Lu F, Li Y, Hou Y, Qiang D, Zhao Q, Li N, Lei R, Chen D, Han A, Liu G, Zhang P, Zhi Y, Liu C, Yang J, Resalaiti A, Ma H, Ma Y, Liu Y, Xing X, Xiang Q, Liu Z, Sheng Y, Tang J, Liu L, Yusuf S, Li W. OUP accepted manuscript. Eur Heart J 2022; 43:2852-2863. [PMID: 35731140 DOI: 10.1093/eurheartj/ehac268] [Citation(s) in RCA: 50] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Revised: 03/24/2022] [Accepted: 05/10/2022] [Indexed: 11/12/2022] Open
Affiliation(s)
- Sidong Li
- Medical Research and Biometrics Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zhiguang Liu
- Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Philip Joseph
- Population Health Research Institute, McMaster University and Hamilton Health Sciences, Hamilton, Ontario, Canada
| | - Bo Hu
- Medical Research and Biometrics Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Lu Yin
- Medical Research and Biometrics Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Lap Ah Tse
- Division of Occupational and Environmental Health, Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China
| | - Sumathy Rangarajan
- Population Health Research Institute, McMaster University and Hamilton Health Sciences, Hamilton, Ontario, Canada
| | - Chuangshi Wang
- Medical Research and Biometrics Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yang Wang
- Medical Research and Biometrics Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Shofiqul Islam
- Population Health Research Institute, McMaster University and Hamilton Health Sciences, Hamilton, Ontario, Canada
| | - Weida Liu
- Medical Research and Biometrics Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Fanghong Lu
- Shandong Academy of Medical Sciences, Basic Medical Institute, Jinan, China
| | - Yindong Li
- Shunyi District Center for Disease Control and Prevention, Beijing, China
| | - Yan Hou
- Balingqiao Community Health Service Center, Taiyuan, China
| | - Deren Qiang
- Wujin District Center for Disease Control and Prevention, Changzhou, China
| | - Qian Zhao
- West China Hospital of Sichuan University, Chengdu, China
| | - Ning Li
- Qingshanhu Community Health Service Station, Nanchang, China
| | - Rensheng Lei
- Center for Disease Control and Prevention of Nanchang County, Nanchang, China
| | - Di Chen
- Jishuitan Hospital, Beijing, China
| | - Aiying Han
- Bayannaoer Center for Disease Control and Prevention, Bayannaoer, China
| | - Guoqin Liu
- Jingle People's Hospital, Xinzhou, China
| | - Peng Zhang
- Health Center of Guanshan Town, Xi'an, China
| | - Yahong Zhi
- Hospital of Xi'an University of Electronic Science and Technology, Xi'an, China
| | - Chunmei Liu
- Mengla District Center for Disease Control and Prevention, Xishuangbanna, China
| | - Jinkui Yang
- Central hospitals of Menglong District, Xishuangbanna, China
| | | | - Haibin Ma
- Xining Center for Disease Control and Prevention, Xining, China
| | - Yuanting Ma
- Xining east area of Dongguan Street Community Health Service Center, Xining, China
| | - Yu Liu
- 242 Hospital, Shenyang, China
| | - Xiaojie Xing
- The Red Cross hospital of Shenyang, Shenyang, China
| | - Quanyong Xiang
- Jiangsu Centers for Disease Control and Prevention, Nanjing, China
| | - Zhengrong Liu
- Jiangxinzhou Community Health Service Center, Nanjing, China
| | - Yundong Sheng
- Jiangxinzhou Community Health Service Center, Nanjing, China
| | | | - Lisheng Liu
- Beijing Hypertension League Institute, Beijing, China
| | - Salim Yusuf
- Population Health Research Institute, McMaster University and Hamilton Health Sciences, Hamilton, Ontario, Canada
| | - Wei Li
- Medical Research and Biometrics Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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