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1.
Comput Intell Neurosci ; 2022: 9528046, 2022.
Article in English | MEDLINE | ID: mdl-36210984

ABSTRACT

In order to explore how to realize home care for the elderly with mobility difficulties, this paper proposes a home care system for the elderly with mobility difficulties based on intelligent perception. This method explores the research of home care for mobility disabilities by recommending key technical problems and solutions based on information represented by intelligent perception. The research shows that the home care system based on intelligent perception can effectively solve the nursing problems of the elderly, which is about 60% more efficient than the traditional methods. The combination of intelligent perception and reasonable home care mode will improve the social and economic benefits of health services and promote the balance between supply and demand of the whole health services.


Subject(s)
Home Care Services , Aged , Humans , Perception
2.
Article in English | MEDLINE | ID: mdl-36091592

ABSTRACT

Background: Gestational diabetes mellitus (GDM) refers to the diabetes first discovered or occurring during pregnancy. The incidence of gestational diabetes in China is about 1%-5%, with an increasing trend in recent years. Objective: To observe the effect of evidence-based diet nursing on intestinal flora and maternal and infant prognosis in patients with gestational diabetes. Methods: One hundred and thirty patients with GDM admitted to our hospital from January 2020 to January 2022 were selected and divided into two groups according to the intervention method, with 65 cases in each group. The control group was given routine nursing plus diet nursing, while the observation group was given evidence-based nursing plus diet nursing. The changes of blood glucose index and intestinal flora before and after intervention in the two groups were detected, and the compliance behavior, pregnancy outcome, and perinatal outcome in the two groups were statistically analyzed. Results: After the intervention, the fasting blood glucose, 2 h postprandial blood glucose, and HbA1c in the two groups gradually decreased (P < 0.05). Further comparison between the groups showed that the fasting blood glucose, 2 h postprandial blood glucose, and HbA1c in the observation group were lower than those in the control group (P < 0.05). After intervention, the ratios of Bifidobacterium, Lactobacillus, and Bifidobacterium to E. coli in the two groups gradually increased (P < 0.05). Furthermore, comparison between the groups showed that the ratios of Bifidobacterium, Lactobacillus, and Bifidobacterium to E. coli in the observation group were higher than those in the control group (P < 0.05). The blood glucose rate, regular prenatal examination rate, and diet control rate of the observation group were 100.00%, 100.00%, and 95.38%, respectively, which were higher than 89.23%, 92.31%, and 84.62% of the control group, and the difference was significant (P < 0.05). The pregnancy infection rate and cesarean section rate in the observation group were 0.00% and 33.85%, respectively, which were lower than 6.15% and 60.00% in the control group, and the difference was significant (P < 0.05).The premature delivery rate and polyhydramnios rate in the observation group were 3.08% and 1.54%, respectively, which were not significantly different from 6.15% to 7.69% in the control group (P > 0.05). The rates of macrosomia, neonatal hypoglycemia, and neonatal hyperbilirubinemia in the observation group were 1.54%, 3.08%, and 9.23%, respectively, which were lower than those in the control group (10.77%, 13.85%, and 23.08%), and the differences were significant (P < 0.05). The fetal malformation rate and neonatal asphyxia rate in the observation group were 0.00% and 1.54%, respectively, which were not significantly different from 1.54% to 7.69% in the control group (P > 0.05). Conclusion: The application of evidence-based care combined with dietary care in GDM patients can improve intestinal flora, control blood glucose, improve patient compliance behavior, and improve maternal and infant outcomes.

3.
Comput Intell Neurosci ; 2022: 7397186, 2022.
Article in English | MEDLINE | ID: mdl-35942458

ABSTRACT

With the improvement of social living standards, pregnant women have higher and higher requirements for health and medical personnel. As the main body of medical service personnel, the service objects of midwives are increasing rapidly, while the existing working conditions and abilities of midwives are difficult to meet the growing medical needs of pregnant women. In order to improve the imbalance between supply and demand between limited medical resources and patients' medical treatment, this paper proposed to use PDCA model to educate and train midwives in order to improve their professional ability and work efficiency. Based on the analysis of the structure and functional principle of PDCA model, according to the working requirements of midwives, PDCA model was used to provide midwives with scientific teaching plan, implementation scheme, inspection requirements, and result evaluation methods. In order to test the effect of the application of this model, a group of hospitalized pregnant women were selected as samples and randomly divided into control group and observation group. Through comparative experiments, the effectiveness of PDCA model in midwife education and training was verified. The experimental results showed that the scores of midwife and patient satisfaction, theory and operation skills in the observation group were higher than those in the control group. Compared with the conventional nursing mode, the use of PDCA cycle mode to educate and train midwives had not only effectively improved the theoretical knowledge and professional skills of nurses, but also significantly improved the nursing and delivery monitoring ability of pregnant women. This study has certain reference and guiding significance for clinical medicine and other related application fields.


Subject(s)
Midwifery , Female , Humans , Midwifery/education , Pregnancy
4.
J Healthc Eng ; 2021: 1418281, 2021.
Article in English | MEDLINE | ID: mdl-34691371

ABSTRACT

The objective of this paper is to study the curative effect of music combined with hypnosis on labor pains during childbirth. Based on the algorithm of data mining, we randomly selected 100 women who delivered babies in obstetric units from October 2020 to June 2021, set the control group and the observation group, obtained the relevant clinical data through comparison, and analyzed the value of music combined with hypnotic analgesia midwifery in obstetrics. The results showed that the number of spontaneous delivery cases in the observation group was higher than that in the control group (P < 0.05) and the delivery time in the observation group was better than that in the control group (P < 0.05). It is proved that music combined with hypnosis can effectively improve the rate of natural childbirth and shorten the overall labor time, so as to guarantee the health of mother and child.


Subject(s)
Analgesia , Hypnosis , Labor, Obstetric , Music , Data Mining , Female , Humans , Infant, Newborn , Pregnancy
5.
Diabetol Metab Syndr ; 13(1): 125, 2021 Oct 30.
Article in English | MEDLINE | ID: mdl-34717730

ABSTRACT

BACKGROUND: Gestational diabetes mellitus (GDM) is the most frequent medical complication of pregnancy. This condition is manifested by glucose intolerance resulting in hyperglycemia of variable severity during pregnancy. One of the most important clinical tools for efficiently regulating maternal blood glucose is strictly monitoring blood glucose levels. However, due to a lack of appropriate intervention tools, managing the occurrence of GDM is still unfeasible. This study aimed to determine clinical efficacy of the internet combined with exercise-based individualized nursing intervention in patients with gestational diabetes mellitus (GDM). METHODS: In total, 139 patients with GDM were divided into two groups, with 79 patients in the observation group (internet combined with exercise-based individualized nursing intervention) and 60 patients in the control group (routine nursing intervention only). The two groups were given specified nursing intervention for 8 weeks and then compared for changes in their blood glucose, blood lipids, blood pressure, insulin resistance (IR), and rate of adverse pregnancy outcomes. Additionally, the psychological state was analyzed, and their nursing satisfaction with the care from nurses that they received was investigated before and after the nursing intervention. RESULTS: Compared with the control group, the following indices of the observation group were lowered: blood glucose-related indices (FBG and 2 h PG), blood lipids and blood pressure associated indices (TG, TC, and HbA1c, DBP, SBP, and MAP), and IR-related indices (FINS, 2 h INS, and HOMA -IR) (all P < 0.05). The observation group also showed a lower rate of adverse pregnancy outcomes than the control group (7.59% vs. 20.00%; P < 0.05). In addition, SAS and SDS scores of the observation group were both lower than the control group (P < 0.05). Accordingly, the nursing satisfaction score also displayed that the observation group (93.67%) had a higher satisfaction outcome than the control group (76.67%; P < 0.05). CONCLUSIONS: Internet combined with exercise-based individualized nursing intervention in GDM patients can effectively improve their blood glucose, IR, and psychological status, thus significantly improving their pregnancy outcomes and mental condition.

6.
Med Sci Monit ; 20: 2740-5, 2014 Dec 20.
Article in English | MEDLINE | ID: mdl-25526703

ABSTRACT

BACKGROUND: The aim of this study was to investigate whether poor sleep quality of third-trimester pregnancy is a risk factor for postpartum depression. MATERIAL AND METHODS: Third-trimester pregnant women (T0, n=293) were tested using the first socio-demographic, Pittsburgh Sleep Quality Index, and Edinburgh Postnatal Depression Scale assessments, and received a diagnosis of depression. Three months (T1, n=223) after delivery, scale filling was finished and the structured interview was performed again. RESULTS: We found that 73 persons (32.7%) were low income, 84 persons (37.7%) were middle-income, and 66 persons (29.6%) were higher income. The overall prevalence of postpartum depression was 9.4% (21 persons). After controlling for other factors, age, household income, marital satisfaction, and sleep quality were significantly related to postpartum depression, in which age and sleep quality scores (a higher score was associated with poorer sleep quality) were positively related to postpartum depression, and household income and marital satisfaction were negatively related to postpartum depression. Moreover, third-trimester sleep quality score was positively related to postpartum depressive symptoms. CONCLUSIONS: Poor third-trimester subjective sleep quality is a risk factor for postpartum depression.


Subject(s)
Depression, Postpartum/complications , Depression, Postpartum/physiopathology , Pregnancy Trimester, Third/physiology , Sleep Deprivation/complications , Sleep Deprivation/physiopathology , Sleep/physiology , Adult , Demography , Depression, Postpartum/epidemiology , Female , Humans , Logistic Models , Multivariate Analysis , Pregnancy , Prevalence , Sleep Deprivation/epidemiology , Young Adult
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