Yuehao Shen, Zhifang Yuan, Ying Wang, Na-na Ma, Jianhui Wang, Y. Niu, Ya-Ting Zhu, Hui-zhong Lin, Yongming Yu, Wei Li, K. Yao, Yan-xia Li, Jiyun Yu, Qi Wang, Suyan Liu, Shuo Li, Mei Lin
{"title":"Medical coping modes and influencing factors of 128 patients with COVID-2019","authors":"Yuehao Shen, Zhifang Yuan, Ying Wang, Na-na Ma, Jianhui Wang, Y. Niu, Ya-Ting Zhu, Hui-zhong Lin, Yongming Yu, Wei Li, K. Yao, Yan-xia Li, Jiyun Yu, Qi Wang, Suyan Liu, Shuo Li, Mei Lin","doi":"10.3760/CMA.J.CN115682-20200221-00933","DOIUrl":null,"url":null,"abstract":"Objective \nTo explore the relationships between medical coping modes of patients with COVID-2019 and general information and social supports. \n \n \nMethods \nFrom January to February 2020, a total of 128 patients in a designated hospital in Wuhan with novel coronavirus pneumonia were investigated using the General Information Questionnaire and the Chinese version of the Medical Coping Modes Questionnaire(MCMQ) by convenient sampling. Pearson univariate analysis and multiple linear regression were used to analyze the relationship between the basic situation of patients with novel coronavirus pneumonia and coping modes. \n \n \nResults \nThe scores of the face dimension and yield dimension of patients with COVID-2019 were lower than the norm model, while the avoidance dimension was higher than the norm model, and the differences were statistically significant (P<0.05). Support utilization and complexity were influencing factors of the face dimension (P<0.05). Support utilization and age were influencing factors of the yielding dimension (P<0.01). Subjective support, the complexity dimension of disease uncertainty and the number of confirmed patients in the family were influencing factors of the avoidance dimension (P<0.01). \n \n \nConclusions \nPatients with COVID-2019 have poor medical coping modes, and they are prone to face the disease with a negative attitude. Patients are unwilling to face the disease and the tendency to yield to the disease is greater. And the older the patients, the less likely they are to succumb to the disease. The more patients diagnosed in the family, the less likely they are to avoid the disease. Patients with higher social supports and utilization have a more reasonable medical coping mode. This reminds medical staff to pay more attention to the psychological problems of patients in coping with COVID-2019 and improve their coping modes and methods. \n \n \nKey words: \nCorona virus disease 2019; Pneumonia; Medical coping modes; Disease uncertainty","PeriodicalId":10070,"journal":{"name":"中华现代护理杂志","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"中华现代护理杂志","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3760/CMA.J.CN115682-20200221-00933","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Objective
To explore the relationships between medical coping modes of patients with COVID-2019 and general information and social supports.
Methods
From January to February 2020, a total of 128 patients in a designated hospital in Wuhan with novel coronavirus pneumonia were investigated using the General Information Questionnaire and the Chinese version of the Medical Coping Modes Questionnaire(MCMQ) by convenient sampling. Pearson univariate analysis and multiple linear regression were used to analyze the relationship between the basic situation of patients with novel coronavirus pneumonia and coping modes.
Results
The scores of the face dimension and yield dimension of patients with COVID-2019 were lower than the norm model, while the avoidance dimension was higher than the norm model, and the differences were statistically significant (P<0.05). Support utilization and complexity were influencing factors of the face dimension (P<0.05). Support utilization and age were influencing factors of the yielding dimension (P<0.01). Subjective support, the complexity dimension of disease uncertainty and the number of confirmed patients in the family were influencing factors of the avoidance dimension (P<0.01).
Conclusions
Patients with COVID-2019 have poor medical coping modes, and they are prone to face the disease with a negative attitude. Patients are unwilling to face the disease and the tendency to yield to the disease is greater. And the older the patients, the less likely they are to succumb to the disease. The more patients diagnosed in the family, the less likely they are to avoid the disease. Patients with higher social supports and utilization have a more reasonable medical coping mode. This reminds medical staff to pay more attention to the psychological problems of patients in coping with COVID-2019 and improve their coping modes and methods.
Key words:
Corona virus disease 2019; Pneumonia; Medical coping modes; Disease uncertainty