Predictive Nursing Intervention Research Articles

Clinical nursing value of predictive nursing in reducing complications of pregnant women undergoing short-term massive blood transfusion during cesarean section.

Cesarean hemorrhage is one of the serious complications, and short-term massive blood transfusion can easily cause postoperative infection and physical stress response. However, predictive nursing intervention has important clinical significance for it. To explore the effect of predictive nursing intervention on the stress response and complications of women undergoing short-term mass blood transfusion during cesarean section (CS). A clinical medical record of 100 pregnant women undergoing rapid mass blood transfusion during sections from June 2019 to June 2021. According to the different nursing methods, patients divided into control group (n = 50) and observation group (n = 50). Among them, the control group implemented routine nursing, and the observation group implemented predictive nursing intervention based on the control group. Moreover, compared the differences in stress response, complications, and pain scores before and after the nursing of pregnant women undergoing rapid mass blood transfusion during CS. The anxiety and depression scores of pregnant women in the two groups were significantly improved after nursing, and the psychological stress response of the observation group was significantly lower than that of the control group (P < 0.05). The heart rate and mean arterial pressure (MAP) of the observation group during delivery were lower than those of the control group, and the MAP at the end of delivery was lower than that of the control group (P < 0.05). Moreover, different pain scores improved significantly in both groups, with the observation group considerably less than the control group (P < 0.05). After nursing, complications such as skin rash, urinary retention, chills, diarrhea, and anaphylactic shock in the observation group were 18%, which significantly higher than in the control group (4%) (P < 0.05). Predictive nursing intervention can effectively relieve the pain, reduce the incidence of complications, improve mood and stress response, and serve as a reference value for the nursing of women undergoing rapid mass transfusion during CS.

Yishen Juanbi Decoction Combined with Predictive Nursing Intervention Improves the Prognosis, Pain, and Nutritional Status of Patients with Ankylosing Spondylitis

We have examined the effect of Yishen Juanbi decoction combined with predictive nursing intervention on the prognosis, pain, and nutritional status of patients with ankylosing spondylitis. Ankylosing spondylitis patients received oral Yishen Juanbi decoction, followed by routine nursing intervention or predictive nursing intervention. The visual analog scale score and bath ankylosing spondylitis functional index score in the predictive nursing intervention were lower relative to the routine nursing intervention (P &lt; 0.05). The predictive nursing intervention also had better quality of life than the routine nursing intervention group (P &lt; 0.05). Serum total protein and albumin levels were higher in the predictive nursing intervention group than the routine nursing intervention group (P &lt; 0.05), while serum IgA, IgM, and IgG levels were lower (P &lt; 0.05). The nursing satisfaction of patients in the predictive nursing intervention group was higher compared to the routine nursing intervention group (P &lt; 0.05). In conclusion, Yishen Juanbi decoction combined with predictive nursing can reduce pain, improve the nutritional status, and promote the motor function and quality of life of ankylosing spondylitis patients.

Observation of the effect of predictive nursing intervention on the care of complications in patients with nephrotic syndrome.

Observation of the effect of predictive nursing intervention on the care of complications in patients with nephrotic syndrome.

Predictive Nursing Versus Routine Nursing on Health Status, Cancer-related Fatigue and Psychological State of Patients with Pancreatic Cancer Undergoing Chemotherapy

Objective: To investigate the implications of predictive nursing on the health status, cancer-related fatigue and psychological state of patients with pancreatic cancer after chemotherapy. Methods: This was a randomized controlled experiment that included 68 patients with pancreatic cancer who received chemotherapy in our hospital from July 2019 to February 2022, and the participants were assigned 1:1 either into the routine (routine nursing mode) or the prediction (predictive nursing mode) group. The outcome measures included health status, cancer-related fatigue, anxiety, depression, quality of life (QoL) and adverse reactions. Results: In this study, there were no cases of treatment intolerance to the point of shedding, and no cases of additional supplemental treatment. The predictive nursing intervention resulted in superior health status (P&lt;0.05), yet less cancer-related fatigue versus the routine nursing (P&lt;0.05). The predictive nursing intervention was associated with lower self-rating anxiety scale and self-rating depression scale scores (P&lt;0.05), but higher QoL score versus the routine nursing (P&lt;0.05). The predictive nursing intervention led to lower incidence of adverse reactions versus the routine nursing (P&lt;0.05). Conclusion: The predictive nursing is a viable mode for patients with pancreatic cancer undergoing chemotherapy is remarkable. It produces remarkable benefits in terms of boosting the health status and QoL of patients, mitigating cancer-related fatigue, and minimizing the probability of adverse reactions, and therefore merits clinical application.

Effects of predictive nursing intervention on cognitive impairment and neurological function in ischemic stroke patients.

Ischemic stroke is a clinical emergency caused by insufficient intracranial blood supply, which eventually leads to brain tissue necrosis and neurological impairment. Predictive nursing intervention has achieved impressive success in the nursing of multiple surgeries. However, the role of predictive nursing intervention in the care of patients with ischemic stroke remains unclear. This study was a randomized controlled trial. Based on the inclusion and exclusion criteria, 126 patients were randomly assigned into two groups, namely the control group and the predictive nursing intervention group. Both groups were treated with thrombolytic therapy with alteplase. The patients in the control group were given routine nursing intervention and the predictive nursing intervention group received additional predictive care. Neurologic functions and cognitive impairment were evaluated by National Institutes of Health Stroke Scale (NIHSS), Fugl-Meyer assessment (FMA), Montreal cognitive assessment (MoCA), and mini-mental state examination (MMSE) scales, respectively. Door-to-Needle Times, venous thromboembolism (VTE)-related parameters, and complications were recorded. Predictive nursing intervention significantly shortened the Door-to-Needle Times and enhanced the peak/average femoral venous blood flow and femoral venous diameter. In addition, predictive nursing intervention improved the NIHSS, FMA, MMSE, and MoCA scores and remarkably reduced the recurrence of ischemic stroke, deep vein thrombosis and gingival bleeding. Predictive nursing intervention is beneficial to improve the effects of thrombolytic therapy in patients with ischemic stroke, which improves the neurological, cognitive and motor functions of patients, and reduces the occurrence of complications, suggesting an important clinical application value.

Effect of Predictive Nursing Intervention on the Gastrointestinal Side Effects of I-131 Re-treatment in Patients with Differentiated Thyroid Cancer (DTC)

Objective: The aim of this study was to explore the effect of predictive nursing intervention on the gastrointestinal side effects of I-131 re-treatment in patients with differentiated thyroid cancer (DTC). Methods: From January 2017 to August 2018, we invited patient with DTC who received I-131 re-treatment to enroll in this study. The participants were randomly assigned to control or predictive nursing intervention groups using a random number table. The primary outcomes were the incidence of gastrointestinal side effects and degree of patient satisfaction with respect to nursing. Patients in the intervention group received predictive nursing intervention, and patients in the control group received common nursing intervention. Result: A total of 69 patients were enrolled in the study. In patient characteristic, the gender, age and disease status were no significantly different for the participants in two groups. In addition, intervention group participants had less gastrointestinal side effect events, including nausea, vomiting and anorexia (10 vs 3, 8 vs 1, 12 vs 2). In nursing satisfaction assessment, intervention group participants provided better outcome in nursing satisfaction assessment compared with control group, that they provided most very satisfied assessment to predictive nursing intervention. Conclusion: Predictive nursing helped decrease the incidence of gastrointestinal side effects and improved patient satisfaction with nursing. Predictive nursing may be effective in DTC patients receiving I-131 re-treatment.

Effects of Predictive Nursing Intervention among Patients with Acute Stroke.

Background:To explore the effects of predictive nursing intervention among patients with acute stroke.Methods:One hundred and sixty participants were included. They were hospitalized in the Department of Neurology of a third-level first-class hospital in Changsha, Hunan Province, from January to August 2019. They were categorized into control group and intervention group by random number table, with 80 patients in each group. General nursing for patients in Neurology Department was offered to the control group. On the basis of general nursing, predictive nursing intervention was offered to the intervention group. The effectiveness of predictive nursing intervention were evaluated by disparity in neurologic function, movement function, daily life ability and sleep quality before intervention and 2 weeks after intervention. The neurologic function, movement function, daily life ability and sleep quality were evaluated by National Institute of Health acute stroke scale (NIHSS), Fugl-Meyer scale, Barthel indicator, and Pittsburgh sleep quality indicator (PSQI), respectively.Results:There was no significant difference in gender, age, complications and treatment methods between two groups. There was no significant difference in the scores of NIHSS, Fugl-Meyer scale, Barthel indicator, and PSQI before intervention. The scores of NIHSS and PSQI were significantly lower in the intervention group than those in the control group, and the scores of Fugl-Meyer scale and Barthel indicator were significantly higher in the intervention group than those in the control group (P <0.05).Conclusion:Predictive nursing intervention could help improve not only neurologic function, movement function, and daily life ability, but also sleep quality among patients with acute stroke.

Clinical value of predictive nursing intervention in preventing deep venous thrombosis of lower extremities after cesarean section.

article: Clinical value of predictive nursing intervention in preventing deep venous thrombosis of lower extremities after cesarean section - Panminerva Medica 2022 June;64(2):303-5 - Minerva Medica - Journals

Effect of Predictive Nursing Intervention on Prevention of Nocturnal Hypoglycemia in Patient with Liver Cirrhosis

Background: liver cirrhosis is often accompanied by disease in nocturnal hypoglycemia as the capacity of the liver to preserve carbohydrates is impaired. nocturnal hypoglycemia not only is a poor factor, but also is an indicator of malnutrition assessment in patient with liver cirrhosis. Objective: To evaluate effect of predictive nursing intervention on prevention of nocturnal hypoglycemia in patient with Liver cirrhosis. Methods: From April 2018 to December 2020, we collect valid data from 80 patients. the participants were divided into control group and intervention group: control group received common nursing intervention. intervention group participants received predictive nursing intervention. As for collecting, basic information of participant was collected by participants’ medical records and doctor's diagnosis. During study period, we collected frequency of hypoglycemia and liver function data before and after nursing intervention. Rsult: In patient characteristics research, the factors such as gender, age, Child-Pugh assessment and course of the disease were no significant difference between intervention group and control group. There had 49 females 26 (65.0%) in intervention group and 23 (57.5%) in control group] and 31 males 14 (35.0%) in intervention group and 17 (42.5%) in control group]. Additionally, intervention group participants had higher blood glucose index compare with control group participants as the results were significant difference between the two groups. In the research of liver function index, predictive nursing intervention improve the liver function index, even its effect was better than common nursing intervention. Conclusion: the effect of improving hypoglycemia in patient with Liver cirrhosis was better among intervention group compare to control group.

Effect of Predictive Nursing Intervention in Preventing Complicated Phlebitis in Colon Cancer Patients Receiving Peripherally Inserted Central Catheter

To observe the effect of predictive nursing intervention in preventing complicated phlebitis in colon cancer patients receiving peripherally inserted central catheter. A total of 115 colon cancer patients who underwent peripherally inserted central catheter in our hospital from June 2018 to June 2020 were selected as the study subjects and divided into 2 groups according to the order of admission. 57 cases in the control group received routine nursing intervention. 58 patients in the study group received predictive nursing intervention. The occurrence of phlebitis, the first occurrence time of phlebitis, the average catheterization duration and nursing satisfaction were compared between the two groups. The total incidence of phlebitis was 6.90 % in the study group, which was lower than 21.05 % of the control group, showing statistically significant difference between the groups (p<0.05). The study group had later first occurrence time of phlebitis (p<0.05) and longer average catheterization duration than the control group (p<0.05). The nursing satisfaction was 91.38 % in the study group, which was higher than 77.19 % of the control group, showing statistically significant difference between the groups (p<0.05). Predictive nursing intervention can effectively prevent complicated phlebitis in colon cancer patients receiving peripherally inserted central catheter, delay the occurrence of phlebitis, prolong the average catheterization duration and receive high patient satisfaction.

Application Effect of Predictive Nursing in the Nursing Process of Patients with Coronary Heart Disease and Angina Pectoris

To explore the measures and clinical effects of applying predictive nursing methods in the process of nursing care of patients with coronary heart disease and angina pectoris. The patients who were treated in our hospital from December 2019 to December 2020 were selected as the research objects. The patients were all with coronary heart disease and angina pectoris. Nursing care of the patients was carried out. 100 patients were randomly selected as the research objects. In the controlled experiment, patients were given conventional nursing intervention (control group) and predictive nursing intervention (experimental group), and the clinical intervention effects of the two nursing methods were compared and analyzed. The number and duration of angina pectoris in the experimental group were lower than those in the control group. The nursing satisfaction of the two groups was 96.00% and 82.00% respectively. The satisfaction of the patients in the experimental group was higher, and the blood pressure and blood sugar of the experimental group were normal. The number of normal blood lipids was higher than that of the control group. The SAS score and SDS score of the experimental group were relatively low compared with the control group, and the differences in the data were large, expressed as P&lt;0.05, which was statistically significant. The effect of the experimental group is better. Applying predictive nursing methods in the process of nursing care for coronary heart disease and angina pectoris has significant clinical effects, which can effectively stabilize various physical indicators of the patient community, improve patient care satisfaction, and have significant clinical application value.

The Value of Predictive Nursing in Perioperative Period of Allogeneic Hematopoietic Stem Cell Transplantation

Background: Predictive nursing is a new concept proposed in recent years. Studies have shown that predictive care is effective in critically ill and surgical patients. However, the application and research of predictive nursing in patients with allogeneic hematopoietic stem cell transplantation (allo-HSCT) during perioperative period is still lacking. Objective: The value and clinical effect of predictive nursing in allo-HSCT during the perioperative period. Methods: Retrospective analysis was performed on 36 patients with hematological disease who had received allo-HSCT. Observation group A was the patient who received oral care, perineal care and perianal care during the transplantation period; group B was the patient who received only one of the three care items; group C was the patient who received no nursing intervention. And then the time of stem cell transplantation, the incidence of infection, and the cost of treatment were analyzed among the three groups. Results: Predictive nursing intervention can significantly shorten the transplantation time of granulocytes and megakaryocytes (A vs. C, <i>P</i>=0.000, <i>P</i>=0.000; B vs. C, <i>P</i>=0.000, <i>P</i>=0.000). Patients receiving oral care, perineal care and perianal care at the same time had a tendency to shorten the transplant time of stem cells and effectively reduce the incidence of respiratory and urinary tract infections compared with patients receiving only one nursing intervention (X²=5.538, X²=5.924; <i>P</i>=0.019, <i>P</i>=0.05). And reduce the cost of treatment during transplantation (A vs. C, <i>P</i>=0.006). Conclusions: In the perioperative period of allogeneic hematopoietic stem cells, various predictive nursing interventions can shorten the transplantation time of stem cells, reduce the incidence of infection, and thus reduce the economic burden of patients. It is a cheap and effective method and worthy of clinical application.

Effect of Predictive Nursing Intervention on Patients with Postpartum Hemorrhage after Cesarean Section

Objective: To study the effect of predictive nursing intervention on patients with postpartum hemorrhage after cesarean section. Methods: 84 delivery women who had been hospitalized for cesarean section from July 2016 to July 2017 were recruited. They were divided into experimental and reference groups by random number table method. Each group had 42 cases. Among them, the reference group adopted the routine nursing mode. On this basis, the experimental group adopted the predictive nursing intervention mode. The amount of postpartum hemorrhage and the causes of bleeding in two groups were compared and analyzed. Results: The volume of postpartum hemorrhage in two hours and 24 hours after operation in the experimental group were lesser compared to reference group. Compared with the reference group, the proportion of postpartum hemorrhage causes, such as incision bleeding, uterine atony bleeding, placental bleeding and vascular rupture bleeding was lower in the experimental group. Besides, the delivery women and family members in the experimental group had higher total satisfaction compared to reference group. The difference between two groups was significance (p&lt;0.05). Conclusion: The results showed that predictive nursing intervention model plays an important role in the nursing of postpartum hemorrhage after cesarean section and should be popularized and applied in clinical practice.

The influence of preventive nursing intervention on negative moods and blood oxygen saturation of patients with cardiovascular disease undergoing painless endoscopy in outpatient clinic

Objective To explore the influence of preventive nursing intervention on negative moods and blood oxygen saturation of patients with cardiovascular disease undergoing painless endoscopy in outpatient clinic. Methods A total of 98 cases of patients with cardiovascular disease to undergo painless endoscopy examination in our hospital were selected as the study objects, and were divided into the observation group and the control group according to the random and equal principle.The control group were given routine nursing intervention, while the observation group were given predictive nursing intervention on the basis of the control group.Negative moods, levels of BP, HR, SpO2 and the incidence rate of complications in the two groups were observed. Results After nursing, the scores of SDS and SAS in the two groups were significantly lower than that before nursing (P 0.05). The scores of SDS and SAS of the control group in examination were significantly higher than those before and after examination (P<0.05), and were significantly higher than those of the observation group, before, in and after examination (P<0.05). The incidence rate of complications was 10.20% of the observation group, significantly lower than that of 26.53% of the control group (P<0.05). Conclusions Predictive nursing intervention can alleviate negative moods of patients with painless endoscopic cardiovascular disease effectively, and maintain the stability of blood oxygen saturation (SpO2). Key words: Predictive nursing intervention; Painless endoscopy; Cardiovascular disease; Negative moods; Blood oxygen saturation

To Explore the Effect of Predictive Nursing in the Prevention of Postoperative Depression in Patients with Coronary Heart Disease

Objective: To analyze the effect of predictive nursing intervention on anxiety and depression in patients with coronary heart disease after interventional therapy and to summarize nursing experience. Methods: From May 2015 to November 2016, 106 patients with coronary heart disease were treated with interventional therapy. According to the nursing methods, 53 cases were selected and the control group was treated with traditional routine nursing. Routine nursing + predictive nursing intervention, SAS and SDS assessment scale were used to evaluate the anxiety and depression status of the two groups. The improvement of psychological problems after nursing was analyzed and the incidence of complications was compared. Results: After intervention, the scores of SAS and SDS were decreased, but the observation group decreased more significantly than the control group, the improvement trend was prominent, the quality of life was significantly improved and the incidence of complications was lower (P <0.05). Conclusion: The use of predictive nursing for patients with coronary heart disease after interventional therapy in patients with psychological disorders can be effective targeted intervention, greatly improve the patient's anxiety, depression and other psychological state, and the psychological state of the current abnormalities were not given preventive intervention. Preventive measures should be taken to prevent postoperative adverse events, improve the prognosis, the effect is indeed worthy of promotion.

Effects of predictive nursing intervention on acute myocardial infarction patients undergoing temporary preventive cardiac pace maker

Objective To investigate the effects of predictive nursing intervention on acute myocardial infarction (AMI) patients undergoing temporary preventive cardiac pace maker. Methods A total of 130 patients with AMI undergoing emergency percutaneous coronary intervention (PCI) were enrolled by convenience sampling method and divided into control group(n=65) and observation group(n=65) according to the time of admittion. All patients were received temporary preventive cardiac pace maker before PCI. Routine nursing was applied in patients of the control group, and predictive nursing was applied in patients of the observation group. Malignant arrhythmia, hypotension and serious complications were recorded and analyzed. Results In both groups, the right coronary artery was the main artery of the infarction, accounting for 80.00% (control group, 52/65), 76.92% (observation group, 50/65) respectively, the difference was not statistically significant (P>0.05). Malignant arrhythmia rate in the observation group tended to decrease compared with that of the control group (7.69% vs 18.46%), but there′s no statistically significant difference(P=0.069). Malignant arrhythmia rate of right coronary artery infarction in the observation group was lower than that of the control group (6.00% vs 21.15%) (P=0.026). 12.31% of observation group patients developed hypotension versus 26.15% in the control group (P=0.045). Predictive nursing intervention had a tendency to reduce complications occurrence compared with routine nursing intervention (10.77% vs 20.00%), but no statistical significance was achieved(P=0.145). Conclusions Implementation of predictive nursing intervention among AMI patients undergoing temporary preventive cardiac pace maker plays an important role in reducing the risks of malignant arrhythmia and hypotension, which has certain meaning for the clinical nursing. Key words: Acute myocardial infarction; Temporary cardiac pace maker; Predictive nursing

Clinical effects of evidence-based predictive nursing intervention in patients with intrahepatic cholestasis of pregnancy

Clinical effects of evidence-based predictive nursing intervention in patients with intrahepatic cholestasis of pregnancy

Effect analysis of the predictive nursing intervention on the incidence of aspiration pneumonia in patients with post-stroke dysphagia

Objective To research the effect of the predictive nursing intervention for the incidence of aspiration pneumonia in patients with post-stroke dysphagia (PSD). Methods A total of 40 patients with PSD in our hospital since January 2013 to October 2014 were selected, and were randomized divided into two groups, 20 cases in the observation group and 20 cases the control group. All patients received the same treatment, and the patients of control group were treated with conventional nursing intervention while the patients of observation group were treated with the predictive nursing intervention on the basis of the control group treatment. We supervised the Watian′s drinking water test (WTDWT) score, swallowing function assessment (SFA) score, clinical efficacy, and compared rate of aspiration pneumonia occurrence and the prognosis 1 month after the treatment in the two groups. Results The WTDWT score and SFA score were obviously higher than these in the control group, the difference was statistically significant (t=3.589, 3.567; P<0.05); the total rate of clinical efficacy in the observation group and control group were respectively 95% (19/20) and 70% (14/20), the difference was statistically significant (χ2=4.621, P<0.05); the prognosis in the observation group were obviously better than this in the control group, the difference was statistically significant (P<0.05); the rate of aspiration pneumonia occurrence in the observation group and control group were respectively 30% (6/20) and 55% (11/20), the difference was statistically significant (χ2=4.128, P<0.05). Conclusions Predictive nursing intervention has a very good clinical nursing effect on the treatment for patients with PSD, can improve patients′ swallowing function and effectively reduce the aspiration pneumonia occurrence, thus it is worth to be widely popularized in clinic. Key words: Stroke; Dysphagia; Predictive nursing intervention; Aspiration pneumonia

Application of predictive nursing intervention on promoting abdominal vertical incision healing in maternal obesity

Objective To analyze the reason f-or the delay of abdominal vertical incision healing in maternal obesity, and explore the effect of predictive nursing. Methods One hundred and one cases of maternal obesity from May 2009 to April 2011 who received conventional nursing were chosen as the control group, and 120 cases of maternal obesity from May 2011 to June 2013 who adopted predictive nursing intervention were chosen as the observation group. The reason for the delay of abdominal vertical incision healing was analyzed and healing situation as well as nursing satisfaction was compared between two groups. Results The rate of delay of abdominal vertical incision healing dropped from 7.92% to 1.66%, with statistically significant difference （x2 = 4.570,P 〈0. 05）. Nursing satisfaction was 98.3% in the observation group, higher than 91.1% in the control group, and the difference was statistically significant （Z = -2. 319,P 〈 0. 05）. Conclusions Predictive nursing intervention for maternal obesity can reduce the incidence of delay of abdominal vertical incision healing and improve nursing satisfaction, which is worthy further promotion. Key words: Cesarean section; Maternal obesity; Abdominal vertical incision; Healing delay; Predictive nursing

Effect of predictive nursing intervention on bone pain induced by rhG-CSF in breast cancer patients undergoing chemotherapy

Objective To carry out predictive nursing intervention for bone pain induced by recombinant human granulocyte colony-stimulating factor (rhG-CSF) in breast cancer patients undergoing chemotherapy and evaluate the effects of predictive nursing intervention on pain control.Methods A total of 165 breast cancer patients with bone marrow suppression who were gave rhG-CSF after chemotherapy from January to December 2012 were selected and divided into two groups by using the random number table.Eightytwo cases in the observation group with predictive nursing intervention from pain management team and 83 cases in the control group with conventional nursing intervention.The length of sleep time and patients' satisfaction with pain control were compared between the two groups.Results On the same day when using rhG-CSF,the length of sleep time was (5.23 ± 1.47) h in the observation group,and (3.32 ± 1.48) h in the control group,the difference was statistically significant (t =5.834,P ＜ 0.01).In addition,the score of patients' satisfaction with pain-nursing in the observation group was obviously higher than that in the control group [(8.02 ± 0.98)vs (6.24 ± 1.05)],the difference was statistically significant (t =4.346,P ＜ 0.05).Conclusions The application of predictive nursing intervention in breast cancer patients can effectively help to alleviate the bone pain induced by rhG-CSF,and to improve comfort and satisfaction of patients. Key words: Breast cancer; Recombinant human granulocyte colony-stimulating factor; Predictive nursing intervention; Bone pain