Objective To explore the correlation between blood glucose and self-management behaviors in patients with type 2 diabetic mellitus before initial basal insulin therapy. Methods A convenient sample of 200 patients with type 2 diabetic mellitus who were hospitalized in a tertiary hospital from February to August 2016 were enrolled in the study on a voluntary basis. Patients’ demographic information, fast blood glucose, glycosylated hemoglobin, and scores of diabetes self-care activities were gathered through questionnaires. Results A total of 193 valid questionnaires were recovered. Before starting basal insulin therapy, the mean blood glucose and the mean glycosylated hemoglobin of the 193 patients were (12.22±3.95) mmol/L and (10.01±2.38)%, respectively, with 12 patients (6.22%) meeting the goal of fasting blood glucose ≤7 mmol/L and 18 patients (9.33%) meeting the goal of glycosylated hemoglobin <7%, respectively. The total score of self-care activities was 26.76±14.77, in which 3 patients (1.55%) performed well. Spearman analysis demonstrated that the total score of self-care activities was negatively correlated with fast blood glucose ( r=–0.401, P<0.001) and glycosylated hemoglobin (r=–0.227, P=0.028). Conclusions The blood glucose levels and self-management behaviors in diabetic patients at the beginning of initial basal insulin therapy are not optimistic. Enhanced management of type 2 diabetic patients with initial basal insulin therapy is the prerequisite to promote diabetes self-care activities.
ObjectiveTo systematically review the effect of self-management intervention on the prevention and management of lymphedema in breast cancer patients. MethodsThe Cochrane Library, Embase, PubMed, Web of Science, CINAHL, PsycINFO, SinoMed, CNKI, WanFang Data and VIP databases were electronically searched to collect studies on self-management intervention on the prevention and management of lymphedema in breast cancer patients, from inception to June 16. Two reviewers independently screened the literature, extracted data and assessed the risk of bias of the included studies. Meta-analysis was performed using RevMan 5.4 software. ResultsA total of 37 references were included, comprising 25 randomized controlled trials (RCTs), 12 controlled clinical trials (CCTs), and a total of 3 697 patients. There were 26 studies in the meta-analysis, and the results of the meta-analysis showed that, compared with the control group, patients in the intervention group exhibited better performance in lymphedema management-related behaviors (SMD=2.65, 95%CI 1.53 to 3.78, P<0.01), symptoms related to lymphedema (SMD=?2.01, 95%CI ?3.66 to ?0.37, P<0.05), occurrence of lymphedema (RR=0.37, 95%CI 0.32 to 0.45, P<0.01), upper limb function (SMD=?1.88, 95%CI ?2.83 to ?0.92, P<0.01), quality of life (SMD=2.79, 95%CI 2.05 to 3.54, P<0.01), and the difference was statistically significant. The intervention mainly included information support, material support, emotional support and decision support. ConclusionThere are currently a variety of self-management interventions, but they mainly focus on information support. Self-management interventions can improve the self-management behavior of breast cancer patients with lymphedema and reduce the impact of lymphedema on patients.
ObjectiveThis article aims to comprehensively retrieve and summarize the best evidence for the self-management of epilepsy in adolescents, so as to provide a reference for clinical medical staff and relevant decision makers. MethodsWe systematically searched Cochrane, Global Guidelines Collaboration (GIN), Scottish Interhospital Guidelines Network (SIGN), Joanna Briggs Institute (JBI), NICE, RANO (Nurses' Association of Ontario, Canada), UpToDate, BMJ, Medical Maitong, PubMed, International League Against Epilepsy, China National Knowledge Infrastructure, Wanfang Database and other databases and websites. All kinds of literature related to the self-management of epilepsy in adolescents were collected from the establishment of the database to April 18, 2023, including clinical decision-making, clinical guidelines,. Evidence summary, expert consensus, systematic review, etc. Four researchers were invited to evaluate the quality of the retrieved guidelines, and two researchers independently screened and evaluated the quality of the remaining literature. According to the opinions of professionals, data extraction and analysis were performed on the literature that met the inclusion criteria. ResultsA total of 9 articles were included, including 3 clinical guidelines, 3 expert consensus and 3 systematic reviews. We summarized the evidence in the literature in the following 8 aspects: Self-management initiation timing, monitoring management, psychological management, innovative self-management mode, information and support, medication management, daily life management and follow-up management. We identified 34 best pieces of evidence. ConclusionsThis article provides health care providers with the best evidence for the self-management of adolescents with epilepsy, guiding them to provide self-management education and counseling for adolescents with epilepsy through evidence-based methods, helping them to improve self-management ability, reduce seizures, reduce health services and healthcare costs, and improve quality of life.
Objective To discuss the application value in increasing the frequency of monitoring and ensuring the safety of anticoagulation therapy in patient self-monitoring (PST) and self-management (PSM) of portable coagulometer. Method This non-randomized prospective controlled study was conducted in 100 patients receiving oral warfarin anticoagulation therapy after heart valve replacement and met the inclusion criteria in our hospital between March 2013 and April 2014 year. All the patients were divided into three groups including an outpatient follow-up group(outpatient group), a self-monitoring group and a self-management group. Meanwhile, the patients in the outpatient group visited professional institutions, performed international normalized ratio (INR) testing with central lab and adjusted the dosage of orally administered warfarin by the doctors. And the other two groups performed INR testing with CoaguChek XS portable coagulometer by themselves, and the patients in the self-management group performed management by themselves. The follow-up time was 6 months. The dates of time in therapeutic range (TTR), fraction of time in therapeutic range (FTTR) and anticoagulation complications in the three groups were analyzed and compared. Results There was no significant difference in the INR results obtained from the follow-up time among the three groups (P=0.845) . TTR value of INR of the outpatient group, the self-monitoring group, and the self-management group was 45.9% (4368.0 days/9517.0 days), 61.2% (6057.0 days/9897.0 days), and 65.4% (2833.8 days/4333.0 days), respectively with a statistical difference among the three groups (P<0.001) . FTTR value of INR obtained from the outpatient group, the self-monitoring group, and the self-management group was 48.3% (99 times/205 times), 60.7% (164 times/270 times), and 64.9% (100 times/154 times) respectively. There was a statistical difference in the FTTR between the outpatient group and the self-monitoring group (P=0.007) , and also between the outpatient group and the self-monitoring group (P=0.002) . But there was no statistical difference between the self-monitoring group and the self-management group (P=0.392) . There were not any major bleeding and thrombosis complications in all study. And there was no statistical difference in the total complications, thrombosis, and bleeding complications rates between the outpatient group and the self-monitoring group, and also between the outpatient group and the self-management group (P>0.05) . Conclusions The patients receiving oral anticoagulation after heart valve replacement or their care providers were able to perform PST and PSM. The use of portable coagulometer for self-monitoring and self-management can increase the frequency of anticoagulation monitoring and achieve better INR target value control. PST and PSM could achieve higher quality of anticoagulation management and life and without increasing the risk of oral anticoagulation than the traditional monitoring method. The monitoring frequency of once a month is reasonable for the patients receiving oral anticoagulation more than half a year after heart valve replacement.
Objective To explore the current situation and influencing factors of self-management behavior in patients with primary glaucoma, so as to provide a theoretical basis for formulating intervention strategies to improve patients’ self-management ability. Methods Using convenient sampling method, 400 patients with primary glaucoma visiting the Outpatient Department of Ophthalmology, West China Hospital of Sichuan University between September 2019 and March 2020 were selected. Their current situation of self-management behavior was investigated by self-management behavior questionnaire, and the influencing factors of self-management behavior were analyzed. Results A total of 381 valid questionnaires were recovered. The total score of self-management behavior of patients with primary glaucoma was 51.11±6.22, and the mean scores of life debugging dimension, functional health care dimension, and medical management dimension were 2.66±0.67, 3.02±0.81, and 3.13±0.60, respectively. The results of multiple linear regression analysis showed that age [40-59 vs. <40 years old: unstandardized partial regression coefficient (b)=–2.830, 95% confidence interval (CI) (–4.813, –0.847), P=0.005; ≥60 vs. <40 years old: b=–2.660, 95%CI (–4.820, –0.498), P=0.016], occupation [in-service vs. farmers: b=2.639, 95%CI (0.303, 4.976), P=0.027; unemployed or retired vs. farmers: b=2.913, 95%CI (0.995, 4.831), P=0.003], smoking [smoking vs. non-smoking: b=–3.135, 95%CI (–5.196, –1.075), P=0.003], disease type [primary open-angle glaucoma vs. primary angle-closure glaucoma: b=–2.119, 95%CI (–3.317, –0.921), P=0.001], number of follow-up visits [≤2 vs. >2: b=–1.071, 95%CI (–2.118, –0.024), P=0.045], whether fixed doctor follow-up [unfixed vs. fixed: b=–2.619, 95%CI (–3.632, –1.605), P<0.001] were correlated with the total score of self-management behavior of patients with primary glaucoma. Conclusions The self-management behavior of patients with primary glaucoma is in the middle level. The main factors affecting the self-management behavior level of primary glaucoma patients include age, occupation, smoking, disease type, follow-up times, and fixed doctor’s follow-up. Ophthalmologists should pay attention to the current situation and influencing factors of self-management behavior and take feasible intervention measures to improve the self-management behavior of patients with primary glaucoma.
ObjectiveTo investigate the efficacy of follow-up continuous nursing intervention on the self-management ability and medication compliance of patients undergoing maintenance hemodialysis. MethodsBetween June and December 2013, 157 maintenance hemodialysis patients were randomly divided into control group (n=76) and study group (n=81). The control group was given conventional nursing, while the study group received continuous nursing intervention program as well as conventional nursing. Six months later, the self-management ability and medication compliance of the patients were assessed by using self-made Patient Self-management Scale and Morisky Medication Compliance Scale. ResultsSix months later, self-management ability in patients of the study group was significantly better than that in the control group (P<0.05). Medication compliance rate in the study group reached a highest of 45.7%, while it was only 18.4% in the control group, and the difference between the two groups was significant (χ2=13.283, P<0.001). ConclusionFollow-up continuous nursing intervention can obviously improve maintenance hemodialysis patients' ability of self management and compliance behavior, so as to improve the quality of life of these patients.
ObjectiveTo verify the reliability of Anticlot Assistant, a patient self-management system for warfarin therapy assisted by artificial intelligence.MethodsIt was a single-center, prospective cohort study. The eligible 34 participants were recruited consecutively between November 29, 2017 to September 27, 2018 and managed by warfarin therapy via Anticlot Assistant. The recommendations of Anticlot Assistant were examined and verified by the doctors to ensure the security. Medical records were exported from the the background management system. An univariate analysis compared the outcomes between accepted and overridden records and a logistic regression model was built to determine independent predictors of the outcomes. The research team analyzed 153 medical records, which were from 18 participants and were input by 19 doctors. There were 97 records with doctor accepting the suggestion and 56 records with doctor rejecting the suggestion .ResultsWhen the doctors accepted the recommendations, the percentage of the next-test international normalized ratio (INR) in the therapeutic range was higher (64.95% vs. 44.64%, RR=2.298, 95%CI 1.173 to 4.499, P=0.014). The logistic regression analysis revealed that accepting the recommendations was an independent predictor for the next-test INR being in the therapeutic range after controlling potentially confounding factors (OR=2.446, 95%CI 1.103 to 5.423, P=0.028).ConclusionThe algorithm of Anticlot Assistant is reasonable and reliable.
ObjectiveTo investigate the status of quality of life and influencing factors among newly diagnosed epilepsy patients with co-morbid anxiety and depression. MethodsA total of 180 newly diagnosed epilepsy patients from June 2022 to December 2022 in a district of Shanghai were selected as the study subjects. The Quality of Life in Epilepsy-31 (QOLIE-31), Hamilton Depression Rating Scale (HAMD-24), Hamilton Anxiety Rating Scale (HAMA), and Epilepsy Self-Management Scale (ESMS) were used to assess patients' quality of life, depression levels, anxiety levels, and self-management abilities, respectively. Patients were divided into the co-morbid depression group (HAMA≥14 and HAMD>17) and the control group (HAMA<14 and HAMD≤17), and their general characteristics and scale scores were compared. Spearman correlation, Pearson correlation, and multiple linear regression analysis were used to identify influencing factors of quality of life in epilepsy patients with co-morbid depression. ResultsCompared to the control group, the anxiety comorbid with depression group of older adults had a higher proportion, higher unemployment rate, lower personal and family annual income in the past year, higher frequency of epileptic seizures, and lower medication adherence (P<0.05). The correlational analysis revealed a negative correlation between the quality of life abilities of epilepsy patients with comorbid anxiety and depression and the severity of anxiety and depression. (r=?0.589, ?0.620, P<0.05). The results of multiple linear regression analysis showed that the frequency of seizures in the past year (β=?1.379, P<0.05), severity of anxiety (β=?0.279, P<0.05), and severity of depression (β=?0.361, P<0.05) have an impact on the ability to quality of life in epilepsy patients with co-morbid anxiety and depression. These factors account for 44.1% of the total variability in quality of life (R2=0.4411, P<0.05). ConclusionThe frequency of seizures in the past year, as well as the severity of anxiety and depression, are important factors that influence the ability to quality of life in epilepsy patients with comorbid anxiety and depression. For these patients, it is crucial to take into account these factors and provide appropriate support and interventions.
ObjectiveTo compare home blood pressure monitoring (HBPM) versus ambulatory blood pressure monitoring (ABPM) versus office blood pressure monitoring (OBPM) in diagnosis and management of hypertension, and to find the optimal blood pressure measurement and management.MethodsThe following were compared among three BP monitoring, such as cost-effectiveness, prognostic value of target organ damage (TOD), predictive value of the progress in chronic kidney disease (CKD) and blood pressure variety (BPV). ResultsCompared to OBPM, ABPM was the most cost-effective method in the primary diagnosis of hypertension, but HBPM was the optimal method in long-term and self-management in hypertension. In hypertensives, compared to OBPM, HBPM and ABPM, especially HBPM, had a stronger predictive value for cardiovascular events, stroke, end-stage renal dysfunction (ESRD) and all-cause mortality. In hypertensives with renal dysfunction, controlling HBPM and ABPM, especially controlling ABPM, was an effective way to slow the progress in renal dysfunction, to decrease cardiovascular events, and to decrease the need of dialysis. All BPV derived from OBPM, ABPM and HBPM had a predictive significance of cardiovascular events, and HBPM BPV performed the best.ConclusionCompared to OBPM, ABPM is the best method in primary diagnosis of hypertension and BP control in CKD patients, while HBPM is the best method in predicting and in evaluating BPV, as well as in long-term and self-management in hypertension.