Keywords
Stroke
Hypertension
Continuity of care
Self-management
Submitted : 2024-04-23
Accepted : 2024-05-08
Published : 2024-05-23
Abstract
Objective: To explore the impact of the WeChat platform continuity of care model based on the KAP (knowledge, attitudes, and practices) theory on the self-management of stroke patients with hypertension after discharge from the hospital. Methods: 62 stroke patients with hypertension discharged from the rehabilitation department of a tertiary A hospital in Nanning City, Guangxi Zhuang Autonomous Region, from October 2022 to April 2023 were sampled by convenience sampling method. Patients discharged from Rehabilitation I were included in the control group, and conventional nursing care was used; while patients discharged from Rehabilitation II were included in the observation group, and WeChat platform continuity of nursing care model based on the KAP theory was implemented. The intervention effect of the two groups was compared. Results: After 4 and 12 weeks of intervention, the diastolic and systolic blood pressure of the patients in the observation group were lower than those in the control group (P < 0.05); after 12 weeks of intervention, the rate of medication adherence and the score of adherence to hypertension treatment in the observation group were significantly higher than those in the control group (P < 0.05). Conclusion: The application of the WeChat platform continuity of care model based on KAP theory to stroke patients with hypertension can improve blood pressure, medication adherence rate, hypertension treatment adherence, and overall enhance the self-management level of these patients.
References
Wang L, Peng B, Zhang H, et al., 2022, Summary of the China Stroke Prevention and Control Report 2020. Chinese Journal of Cerebrovascular Disease, 19(02): 136–144.
World Health Organization, 2021, Guideline for the Pharmacological Treatment of Hypertension in Adults, World Health Organization, Geneva.
Wang YJ, Li ZX, Gu HQ, et al., 2022, China Stroke Statistics: An Update on the 2019 Report from the National Center for Healthcare Quality Management in Neurological Diseases, China National Clinical Research Center for Neurological Diseases, the Chinese Stroke Association, National Centre for Chronic and Non-Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention and Institute for Global Neuroscience and Stroke Collaborations. Stroke Vasc Neurol, 7(5): 415–450.
Wang Q, Zhao W, Wang YJ, 2021, Analysis of Stroke Risk Factors and Construction of Prediction Model. Zhejiang Clinical Medicine, 23(2): 162–164, 168.
Li Q, Zhao B, 2020, Analysis of Long-Term Epidemiological Trends of Hypertension in China’s Elderly Population. China Drugs and Clinics, 20(16): 2692–2693.
Hong CY, Wang ZX, Zang DA, 2023, Correlation Between Previous Stroke History and Post-Stroke Ambulatory Blood Pressure Monitoring Parameters. Chinese Journal of Geriatric Cardiovascular and Cerebrovascular Disease, 25(01): 48–52.
Li S, Huang S, Wu X, et al., 2021, Progress in the Study of Adherence to Antihypertensive Medication in Patients with Stroke Combined with Hypertension. Nursing Research, 35(3): 442–445.
Tao L, Su H, 2023, Blood Pressure Management in Patients Recovering from Stroke. Chinese Journal of Hypertension, 2023(2023): 1–4.
Lambert CM, Olulana O, Bailey-Davis L, et al., 2021, “Lessons Learned” Preventing Recurrent Ischemic Strokes through Secondary Prevention Programs: A Systematic Review. J Clin Med, 10(18): 4209.
Zhang C, 2022, Impact of Health Education on Patients with Stroke Through Telephone Follow-Up. Chinese Science and Technology Journal Database (Full Text Edition) Medicine and Health, 2022(4): 0207–0209.
Khettar S, Jacquin Courtois S, Luaute J, et al., 2022, Multiprofessional Intervention to Improve Adherence to Medication in Stroke Patients: A Study Protocol for a Randomised Controlled Trial (ADMED AVC study). Eur J Hosp Pharm, 29(3): 169–175.
Chen H, Hou CH, Gao J, et al., 2023, A Systematic Evaluation of the Measurement Characteristics of the Chinese Version of the Medication Adherence Scale in Hypertensive Patients. Chinese Journal of Nursing, 58(02): 171–178.
Tang H, Zhu J, He H, et al., 2011, Development and Reliability of the Hypertension Treatment Adherence Scale. Journal of the Third Military Medical University, 33(13): 1400–1403.
Yan S, Sha S, Li S, et al., 2023, Association Between Hypertension and Stroke in US Adults in the National Health and Nutrition Examination Surveys (NHANES) 2007 to 2018. Postgrad Med, 135(2): 187–194.
Shihab S, Boucher RE, Abraham N, et al., 2022, Influence of Baseline Diastolic Blood Pressure on the Effects of Intensive Systolic Blood Pressure Lowering on the Risk of Stroke. Hypertension,79(4): 785–793.
Hu HH, Zheng J, Li DM, et al., 2021, A Study on the Establishment and Practical Effects of Stroke Health Management Clinic. PLA Nursing Journal, 38(02): 48–51.
Kaddumukasa M, Najjuma J, Mbalinda SN, et al., 2021, Reducing Stroke Burden Through a Targeted Self-Management Intervention for Reducing Stroke Risk Factors in High-Risk Ugandans: A Protocol for a Randomised Controlled Trial. PLoS One, 16(6): e0251662.
Jing X, Xue P, Yuan L, 2021, Progress of Research on the Application of IKAP Model in Chronic Disease Management. Nursing Research, 35(8): 1441–1446.
Du J, Wang S, Cheng Y, et al., 2022, Effects of Neuromuscular Electrical Stimulation Combined with Repetitive Transcranial Magnetic Stimulation on Upper Limb Motor Function Rehabilitation in Stroke Patients with Hemiplegia. Comput Math Methods Med, 2022(2022): 9455428.
Xiao YJ, Shao SW, 2021, Current Status of the Application of Mobile Medical Information Platform in Continuity of Care. Nursing Research, 35(07): 1229–1231.
Cha S, Chang WK, Cho HM, et al., 2022, The Effect of a Telephone-Based Intervention on Physical Activity After Stroke. PLoS One, 17(10): e0276316.