Effects of health education based on process communication mode on the success rate and active cooperation rate of video EEG monitoring in elderly patients_Journal of Epilepsy

Authors：

 SHU Yamei , WANG Xiurong , YU Ming

Department of Neurology, Ward 3, Neurocenter, Suining Central Hospital, Suining 629000, China;

Corresponding?author：

SHU Yamei, Email: huzhaohe19980612@163.com

Keywords：

Process-based communication model; Health education; Elderly patients; Video EEG monitoring

DOI：

10.7507/2096-0247.20200020

Video：

Export PDF Favorites Scan Get Citation

Abstract Full text Figures/Tables Video References Cited by

Objective Video electroencephalography (VEEG) monitoring for health education of elderly patients based on a process-based communication model, and explore the impact of this model on the success rate, negative emotions, nursing satisfaction, and active cooperation rate of such patients.Methods From September 2017 to September 2019, 118 patients with suspected epilepsy, encephalitis and other diseases who required VEEG monitoring in Suining Central Hospital were selected for this study (patients aged 61 to 73 years; 54 males and 64 females). Patients were divided into 2 groups using a random number table method, 59 patients in each group.A group received routine nursing, and B group received health education based on the process communication model. The monitoring success rate, negative emotion, active cooperation rate, and nursing satisfaction were compared between the two groups.Results The total effective rate in the B group was 86.44%, which was significantly higher than 76.27% in the A group (P<0.05). After nursing intervention, the scores of anxiety and depression in the two groups were significantly decreased, but the decline was greater in the B group (P<0.05). The active cooperation rate and nursing satisfaction of the B group were significantly higher than those of the A group (P<0.05).Conclusion Compared with conventional nursing, health education based on process communication mode can significantly improve the success rate of VEEG monitoring in elderly patients, alleviate the negative emotions of patients, improve the active cooperation rate and nursing satisfaction.

Citation： SHU Yamei, WANG Xiurong, YU Ming. Effects of health education based on process communication mode on the success rate and active cooperation rate of video EEG monitoring in elderly patients. Journal of Epilepsy, 2020, 6(2): 113-116. doi: 10.7507/2096-0247.20200020 Copy

1.	Halil Onder, Ethem Murat Arsava, Mehmet Akif Topcuoglu, et al. Do video-EEG monitoring findings in ICU patients with acute stroke predict development of seizures and survival during follow-up? Clin EEG Neurosci, 2017, 48(6): 417-421.
2.	Dong Wook Kim, Jun‐Sang Sunwoo, Sang Kun Lee. Headache as an aura of epilepsy: video‐EEG monitoring study. Headache, 2016, 56(4): 762-768.
3.	Kyoung Jin Hwang, Dae Won Seo, Seong Bong Hong, et al. Somatosensory reflex epilepsy: simultaneous video-EEG monitoring and surface EMG. Epileptic Disorders, 2018, 20(1): 70-72.
4.	Yasaman Ghazavi, Ebrahim Asayesh Zarchi, Taher Taheri, et al. Long-term video-EEG monitoring findings in children and adolescents with intractable epilepsy. Iran J Child Neurol, 2017, 11(4): 23-31.
5.	蔣紅媛, 韓小云. 流程化溝通模式在腹腔鏡肝癌手術患者術前訪視中的應用. 中華現代護理雜志, 2015, 21(23): 2804-2806.
6.	何麗蕓, 張國明, 孟桂云, 等. 流程化溝通模式結合微信健康教育在 2 型糖尿病合并肺結核患者自我管理中的應用. 中華現代護理雜志, 2017, 23(33): 4199-4203.
7.	范青, 季建林, 肖澤萍, 等. 綜合醫院焦慮抑郁量表在內科門診病人中的應用. 中國心理衛生雜志, 2010, 24(5): 325-328.
8.	焦靜, 吳欣娟, 趙紅, 等. 不同特征住院病人對護理服務滿意度差異比較研究. 中國護理管理, 2010, 15(11): 46-48.
9.	Moshe Herskovitz, Yitzhak Schiller. Utility of inpatient long term video EEG monitoring. Harefuah, 2017, 156(9): 555-558.
10.	Serdar Alan, Dilek Yaln?zo?lu, Güzide Turanl?, et al. Semiological seizure classification of epileptic seizures in children admitted to video-EEG monitoring unit. Turk J Pediatr, 2015, 57(4): 317-323.
11.	Ahmed A Malik, Naseeb Ullah, Malik M Adil, et al. Risk of in-hospital cardiac arrest among medicare beneficiaries undergoing video electroencephalographic monitoring. J Vasc Interv Neurol, 2015, 8(4): 39-42.
12.	Luis C Mayor, Hernan N Lemus, Jorge Burneo, et al. Cardiogenic syncope diagnosed as epileptic seizures: the importance of ECG during video-EEG recording. Epileptic Disord, 2015, 17(2): 198-203.
13.	Taborelli M, Piselli P, Ettorre GM. Risk for virus and non-virus related malignancies following immunosuppression in a cohort of liver transplant recipients. Italy, 1985-2014. Int J Cancer, 2018, 143(7): 1588-1597.
14.	An NM, Evangelou I, Fatemi A, et al. White matter tract integrity and developmental outcome in newborn infants with hypoxic-ischemic encephalopathy treated with hypothermia. Dev Med Child Neurol, 2015, 57(5): 441-448.
15.	András Horváth, Anna Sz?cs, Gábor Barcs, et al. Epileptic seizures in alzheimer disease: a review. Alzheimer Dis Assoc Disord, 2016, 30(2): 186-192.

1. Halil Onder, Ethem Murat Arsava, Mehmet Akif Topcuoglu, et al. Do video-EEG monitoring findings in ICU patients with acute stroke predict development of seizures and survival during follow-up? Clin EEG Neurosci, 2017, 48(6): 417-421.
2. Dong Wook Kim, Jun‐Sang Sunwoo, Sang Kun Lee. Headache as an aura of epilepsy: video‐EEG monitoring study. Headache, 2016, 56(4): 762-768.
3. Kyoung Jin Hwang, Dae Won Seo, Seong Bong Hong, et al. Somatosensory reflex epilepsy: simultaneous video-EEG monitoring and surface EMG. Epileptic Disorders, 2018, 20(1): 70-72.
4. Yasaman Ghazavi, Ebrahim Asayesh Zarchi, Taher Taheri, et al. Long-term video-EEG monitoring findings in children and adolescents with intractable epilepsy. Iran J Child Neurol, 2017, 11(4): 23-31.
5. 蔣紅媛, 韓小云. 流程化溝通模式在腹腔鏡肝癌手術患者術前訪視中的應用. 中華現代護理雜志, 2015, 21(23): 2804-2806.
6. 何麗蕓, 張國明, 孟桂云, 等. 流程化溝通模式結合微信健康教育在 2 型糖尿病合并肺結核患者自我管理中的應用. 中華現代護理雜志, 2017, 23(33): 4199-4203.
7. 范青, 季建林, 肖澤萍, 等. 綜合醫院焦慮抑郁量表在內科門診病人中的應用. 中國心理衛生雜志, 2010, 24(5): 325-328.
8. 焦靜, 吳欣娟, 趙紅, 等. 不同特征住院病人對護理服務滿意度差異比較研究. 中國護理管理, 2010, 15(11): 46-48.
9. Moshe Herskovitz, Yitzhak Schiller. Utility of inpatient long term video EEG monitoring. Harefuah, 2017, 156(9): 555-558.
10. Serdar Alan, Dilek Yaln?zo?lu, Güzide Turanl?, et al. Semiological seizure classification of epileptic seizures in children admitted to video-EEG monitoring unit. Turk J Pediatr, 2015, 57(4): 317-323.
11. Ahmed A Malik, Naseeb Ullah, Malik M Adil, et al. Risk of in-hospital cardiac arrest among medicare beneficiaries undergoing video electroencephalographic monitoring. J Vasc Interv Neurol, 2015, 8(4): 39-42.
12. Luis C Mayor, Hernan N Lemus, Jorge Burneo, et al. Cardiogenic syncope diagnosed as epileptic seizures: the importance of ECG during video-EEG recording. Epileptic Disord, 2015, 17(2): 198-203.
13. Taborelli M, Piselli P, Ettorre GM. Risk for virus and non-virus related malignancies following immunosuppression in a cohort of liver transplant recipients. Italy, 1985-2014. Int J Cancer, 2018, 143(7): 1588-1597.
14. An NM, Evangelou I, Fatemi A, et al. White matter tract integrity and developmental outcome in newborn infants with hypoxic-ischemic encephalopathy treated with hypothermia. Dev Med Child Neurol, 2015, 57(5): 441-448.
15. András Horváth, Anna Sz?cs, Gábor Barcs, et al. Epileptic seizures in alzheimer disease: a review. Alzheimer Dis Assoc Disord, 2016, 30(2): 186-192.

Previous Article
Clinical efficacy analysis of Semen ziziphi spinosae decoction combined Sodium valproate sustained-release tablets on treating post-traumatic epilepsy
Next Article
雙側顳葉癲癇

Journal of Epilepsy

Effects of health education based on process communication mode on the success rate and active cooperation rate of video EEG monitoring in elderly patients

Abstract Full text Figures/Tables Video References Cited by

Previous Article

Next Article

Format

Content