Application Effect of Doctor-Nurse-Patient Integration Model Based on Heart Rate Management Strategies in Middle-Aged and Young Outpatients with Hypertension

Overview

Journal Comput Math Methods Med

Publisher Hindawi

Specialty Medical Informatics

Date 2022 Mar 28

PMID 35341008

Authors

Jinfang Zhang

Zehong Han

Min Jia

Juanjuan Guo

Hua Guo

Hui Deng

Affiliations

Soon will be listed here.

Abstract

Objective: In this study, a doctor-nurse-patient integration management scheme based on heart rate (HR) management strategies was constructed to explore its application effect in the health management of young and middle-aged outpatients with hypertension.

Methods: A total of 75 young and middle-aged patients with essential hypertension admitted to the Outpatient Department of Cardiology of Heji Hospital Affiliated to Changzhi Medical College, Shanxi Province, from October 2019 to July 2020 were selected and divided into an observation group ( = 37) and a control group ( = 38) according to different treatment methods. The control group was treated with routine health education, basis on which, the observation group was additionally intervened by the doctor-nurse-patient integration model established upon HR management strategies. The resting heart rate (RHR) awareness, medication compliance, RHR, systolic/diastolic blood pressure (SBP/DBP), and self-management ability were compared between the two groups before and 3 months after intervention. The diet control rate, hypertension awareness rate, and regular review rate were also compared.

Results: The RHR awareness and medication compliance were significantly higher in the observation group compared with the control group after intervention ( < 0.05). There were 29 patients with high compliance in the observation group and 19 in the control group, with a significant difference between the two groups ( < 0.05). The mean RHR, as well as the mean SBP and DBP in the observation group, were significantly lower than those in the control group ( < 0.05). In terms of health behavior assessment, the observation group outperformed the control group in the score of each dimension of self-actualization, health responsibility, stress management, interpersonal support, exercise, and nutrition ( < 0.05). In addition, the self-management ability of diet, exercise, medication, blood pressure (BP) monitoring, and disease awareness was significantly higher in the observation group compared with the control group.

Conclusions: For middle-aged and young outpatients with hypertension, the doctor-nurse-patient integration model based on HR management strategies can improve the RHR awareness of patients and improve their medication compliance and self-management ability, thus better controlling the levels of RHR and BP.

Citing Articles

Retracted: Application Effect of Doctor-Nurse-Patient Integration Model Based on Heart Rate Management Strategies in Middle-Aged and Young Outpatients with Hypertension.

Methods In Medicine C Comput Math Methods Med. 2023; 2023:9843037.

PMID: 37503362 PMC: 10371651. DOI: 10.1155/2023/9843037.

References

Schmalz O, Jacob C, Ammann J, Liss B, Iivanainen S, Kammermann M . Digital Monitoring and Management of Patients With Advanced or Metastatic Non-Small Cell Lung Cancer Treated With Cancer Immunotherapy and Its Impact on Quality of Clinical Care: Interview and Survey Study Among Health Care Professionals and Patients. J Med Internet Res. 2020; 22(12):e18655. PMC: 7781800. DOI: 10.2196/18655. View

Liu J, Lu X, Chen L, Huo Y . Expert consensus on the management of hypertension in the young and middle-aged Chinese population. Int J Clin Pract. 2019; :e13426. DOI: 10.1111/ijcp.13426. View

Travieso-Gonzalez A, Nunez-Gil I, Riha H, Donaire J, Ramakrishna H . Management of Arterial Hypertension: 2018 ACC/AHA Versus ESC Guidelines and Perioperative Implications. J Cardiothorac Vasc Anesth. 2019; 33(12):3496-3503. DOI: 10.1053/j.jvca.2019.03.068. View

Goorakani Y, Rahimabadi M, Dehghan A, Kazemi M, Chijan M, Bijani M . Correlation of resting heart rate with anthropometric factors and serum biomarkers in a population-based study: Fasa PERSIAN cohort study. BMC Cardiovasc Disord. 2020; 20(1):319. PMC: 7336436. DOI: 10.1186/s12872-020-01594-y. View

Conn V, Ruppar T . Medication adherence outcomes of 771 intervention trials: Systematic review and meta-analysis. Prev Med. 2017; 99:269-276. PMC: 5467216. DOI: 10.1016/j.ypmed.2017.03.008. View

Zhang Y, Tang W, Zhang Y, Liu L, Zhang L . Effects of integrated chronic care models on hypertension outcomes and spending: a multi-town clustered randomized trial in China. BMC Public Health. 2017; 17(1):244. PMC: 5346199. DOI: 10.1186/s12889-017-4141-y. View

Baer H, Rozenblum R, De La Cruz B, Orav E, Wien M, Nolido N . Effect of an Online Weight Management Program Integrated With Population Health Management on Weight Change: A Randomized Clinical Trial. JAMA. 2020; 324(17):1737-1746. PMC: 7610192. DOI: 10.1001/jama.2020.18977. View

Li Y, Deng B, Guo Y, Peng Q, Hu T, Xia K . Association between glycated hemoglobin and ambulatory blood pressure or heart rate in hypertensive patients. Zhong Nan Da Xue Xue Bao Yi Xue Ban. 2021; 46(5):488-496. PMC: 10930215. DOI: 10.11817/j.issn.1672-7347.2021.200750. View

Kario K, Park S, Chia Y, Sukonthasarn A, Turana Y, Shin J . 2020 Consensus summary on the management of hypertension in Asia from the HOPE Asia Network. J Clin Hypertens (Greenwich). 2019; 22(3):351-362. PMC: 8029789. DOI: 10.1111/jch.13751. View

10.

Yang Y, Tian C, Cao J, Huang X . Research on the application of health management model based on the perspective of mobile health. Medicine (Baltimore). 2019; 98(33):e16847. PMC: 6831254. DOI: 10.1097/MD.0000000000016847. View

11.

Ai H . A randomised controlled trial: effect of the meticulous nursing model on the treatment compliance and quality of life of patients with upper gastrointestinal bleeding. Ann Palliat Med. 2021; 10(8):8737-8745. DOI: 10.21037/apm-21-1283. View

12.

Badawy S, Shah R, Beg U, Heneghan M . Habit Strength, Medication Adherence, and Habit-Based Mobile Health Interventions Across Chronic Medical Conditions: Systematic Review. J Med Internet Res. 2020; 22(4):e17883. PMC: 7218590. DOI: 10.2196/17883. View

13.

Zou X, Wang J, Chen C, Tan X, Huang Y, Jose P . Secreted Monocyte miR-27a, via Mesenteric Arterial Mas Receptor-eNOS Pathway, Causes Hypertension. Am J Hypertens. 2019; 33(1):31-42. PMC: 8205426. DOI: 10.1093/ajh/hpz112. View

14.

Zhang Y, Wang R, Chen Q, Dong S, Guo X, Feng Z . Reliability and validity of a modified 8-item Morisky Medication Adherence Scale in patients with chronic pain. Ann Palliat Med. 2021; 10(8):9088-9095. DOI: 10.21037/apm-21-1878. View

15.

Booth 3rd J, Li J, Zhang L, Chen L, Muntner P, Egan B . Trends in Prehypertension and Hypertension Risk Factors in US Adults: 1999-2012. Hypertension. 2017; 70(2):275-284. PMC: 5594566. DOI: 10.1161/HYPERTENSIONAHA.116.09004. View

16.

Chen Y, Ni Z, Li W, Xiao W, Liu Y, Liang W . Diurnal Blood Pressure and Heart Rate Variability in Hypertensive Patients with Cerebral Small Vessel Disease: A Case-Control Study. J Stroke Cerebrovasc Dis. 2021; 30(5):105673. DOI: 10.1016/j.jstrokecerebrovasdis.2021.105673. View

17.

Wenting W, Yeran J, Wenfeng Z, Faping L, Pingyou Z, Hongxuan Z . Increased resting heart rate and glucose metabolism in a community population. J Int Med Res. 2021; 49(11):3000605211053754. PMC: 8647235. DOI: 10.1177/03000605211053754. View

18.

Zhao J, Fan K, Zhao W, Yao H, Ma J, Chang H . Factors That Influence Compliance to Long-Term Remote Ischemic Conditioning Treatment in Patients With Ischemic Stroke. Front Neurol. 2021; 12:711665. PMC: 8435569. DOI: 10.3389/fneur.2021.711665. View

19.

Wang Z, Chen Z, Zhang L, Wang X, Hao G, Zhang Z . Status of Hypertension in China: Results From the China Hypertension Survey, 2012-2015. Circulation. 2018; 137(22):2344-2356. DOI: 10.1161/CIRCULATIONAHA.117.032380. View

20.

Shah A, Alonso A, Whitsel E, Soliman E, Vaccarino V, Shah A . Association of Psychosocial Factors With Short-Term Resting Heart Rate Variability: The Atherosclerosis Risk in Communities Study. J Am Heart Assoc. 2021; 10(5):e017172. PMC: 8174247. DOI: 10.1161/JAHA.120.017172. View