Zhao Yuchen, Jiao Xinyi, Lv Hong-bo, Yang Xiaolong
{"title":"ANOVA Based Sleep Quality Index Analysis on Mental State and Sleep Quality Quantification","authors":"Zhao Yuchen, Jiao Xinyi, Lv Hong-bo, Yang Xiaolong","doi":"10.1166/JMIHI.2018.2528","DOIUrl":null,"url":null,"abstract":"To explore the influence of the parturients' mental factors on the delivery mode and postpartum hemorrhage and the nursing intervention countermeasures, the research randomly divided the expectant primiparae hospitalized in our hospital during February 2012–February 2013 into\n the intervention group and the control group. Wherein, the control group received routine nursing, while the intervention group received nursing intervention based on the routine nursing, to compare the postpartum hemorrhage and satisfaction of the two groups of parturients. Result:\n 36 of 112 parturients suffered from dysphoria, accounting for 32.14%; 37 parturSients suffered from depression, accounting for 33.04%. The parturients' hemorrhage incidence, postpartum amount of bleeding within 2 h and postpartum amount of bleeding within 24 h all significantly declined compared\n with those of the control group (x2/t = 3.98, 4.02, 4.96 p < 0.05). The cesarean rate of the control group (7.14%, 4/56) was significantly higher than that of the control group (16.07%, 9/56) (x2 = 4.02 p < 0.05). The postpartum satisfaction of the\n patients in the intervention group was apparently higher than that of the control group (x2 = 4.26 p < 0.05). Conclusion: The nursing intervention can obviously reduce the incidence of postpartum hemorrhage and improve postpartum satisfaction, so it is worth popularizing.","PeriodicalId":49032,"journal":{"name":"Journal of Medical Imaging and Health Informatics","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Medical Imaging and Health Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1166/JMIHI.2018.2528","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
To explore the influence of the parturients' mental factors on the delivery mode and postpartum hemorrhage and the nursing intervention countermeasures, the research randomly divided the expectant primiparae hospitalized in our hospital during February 2012–February 2013 into
the intervention group and the control group. Wherein, the control group received routine nursing, while the intervention group received nursing intervention based on the routine nursing, to compare the postpartum hemorrhage and satisfaction of the two groups of parturients. Result:
36 of 112 parturients suffered from dysphoria, accounting for 32.14%; 37 parturSients suffered from depression, accounting for 33.04%. The parturients' hemorrhage incidence, postpartum amount of bleeding within 2 h and postpartum amount of bleeding within 24 h all significantly declined compared
with those of the control group (x2/t = 3.98, 4.02, 4.96 p < 0.05). The cesarean rate of the control group (7.14%, 4/56) was significantly higher than that of the control group (16.07%, 9/56) (x2 = 4.02 p < 0.05). The postpartum satisfaction of the
patients in the intervention group was apparently higher than that of the control group (x2 = 4.26 p < 0.05). Conclusion: The nursing intervention can obviously reduce the incidence of postpartum hemorrhage and improve postpartum satisfaction, so it is worth popularizing.
期刊介绍:
Journal of Medical Imaging and Health Informatics (JMIHI) is a medium to disseminate novel experimental and theoretical research results in the field of biomedicine, biology, clinical, rehabilitation engineering, medical image processing, bio-computing, D2H2, and other health related areas. As an example, the Distributed Diagnosis and Home Healthcare (D2H2) aims to improve the quality of patient care and patient wellness by transforming the delivery of healthcare from a central, hospital-based system to one that is more distributed and home-based. Different medical imaging modalities used for extraction of information from MRI, CT, ultrasound, X-ray, thermal, molecular and fusion of its techniques is the focus of this journal.