Objective To systematically assess the effectiveness of self-management during adjuvant treatment for breast cancer. Methods Through formulating the inclusion and exclusion criteria and the search strategy, such databases as The Cochrane Library, PubMed (1966 to 2010), OVID, ELSEVIER, CINAHL, EMbase, CNKI (1980 to 2010), WanFang Data, VIP (1989 to 2010) and CBM (1978 to 2010) were searched to collect the randomized controlled trials (RCTs) about postoperative self-management in breast cancer. Two reviewers evaluated the quality of the included studies, extracted and crosschecked the data; the Review Manager 5.0 software was used to perform the test for heterogeneity, and the cumulative effect was calculated with either fixed or random effects models. Results Among the included ten studies in English, three revealed that the program of self-management had no impact on the overall life quality of patients, three revealed that it could enhance the self-care ability of patients (P=0.004), three revealed that it could not reduce the anxiety level of patients, and two revealed that it had certain influence on the depression level of patients. Conclusion The program of self-management can enhance the patients’ self-care ability, but its influence on patients’ overall life quality as well as the level of anxiety and depression is still undefined.
Objective To systematically evaluate the influencing factors, intervention measures and management mode of epilepsy patients in China, so as to provide evidence support for ensuring the therapeutic effect of epilepsy patients. Methods PubMed, EMBASE, Cochrane Library, CBM, CNKI, VIP, Wanfang and other domestic and foreign databases were systematically searched, and the literature on influencing factors, intervention measures and management modes of self-management behavior of epilepsy patients in China was included. Descriptive methods were used to analyze the results. Results A total of 21 studies were included, including 2 studies on influencing factors, 14 studies on intervention measures and 5 studies on management mode. The participants of 20 studies is adult epilepsy patients, and one study is adolescent epilepsy aged 13 ~ 17, with a sample size of 40 ~ 327 cases and a median sample size of 70 cases. The results showed that self-management behavior is positively correlated with self-efficacy, bachelor degree or above, female and operation duration < 3 hours, and negatively correlated with 30 ~ 50 years old. The self-management behavior scale score, medication compliance, treatment satisfaction, quality of life, seizure frequency, symptom checklist, anxiety and depression score in the intervention group were better than those in the control group. After the intervention of self- management mode, the self-management score, treatment efficiency, quality of life and medication compliance of the intervention group were better than those of the control group. Conclusions The level of self-management of epilepsy patients in China is insufficient, and the influencing factors and intervention measures are single, lacking integrated intervention measures and management models based on different levels of individuals, families, medical system and society. It is suggested that the self-management model of epileptic patients should be constructed based on evidence to improve self-efficacy and self-management level.
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 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 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.
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.
Objective
To systematically review the effect of mobile phone management applications (APP) on biological and biochemical parameters in adults with type 2 diabetes mellitus (T2DM).
Methods
We electronically searched databases including PubMed, EMbase, The Cochrane Library, Web of Science, CINAHL, PsycINFO, WanFang Data, CBM, CNKI for randomized controlled trials compared mobile phone APP as interventions for managing T2DM with traditional methods from inception to September 30th 2016. Two researchers independently screened literature, extracted data and assessed the risk of bias of included studies. Then, meta-analysis was conducted using Stata 12.0 software.
Results
A total of 10 studies including 1 030 participants (563 in the App group and 467 in the traditional group) were included. The results of meta-analysis showed that the mobile phone app-based interventions group were superior to the control group in HbA1c (MD=–0.43, 95% CI –0.65 to –0.22, P<0.001), systolic blood pressure (MD=–2.53, 95% CI –4.89 to –0.17,P<0.05), triglyceride (SMD=–0.24, 95% CI –0.42 to –0.06,P<0.05) and waist circumference (MD=–1.57, 95% CI –2.65 to –0.48,P<0.05). No significant different were found on any other related results between two groups.
Conclusion
Mobile phone apps aimed at diabetes management can improve HbA1c, systolic blood pressure, triglyceride, and waist circumference for patients with T2DM. Due to the limited quality and quantity of the included studies, the above conclusions are needed more high quality studies to verify.
ObjectiveTo understand the self management status of patients with ankylosing spondylitis (AS).
MethodsSixty inpatients and outpatients with AS in the Department of Rheumatology between December 2011 and December 2012 were selected as the study subjects by judgment sampling method. A self-made questionnaire was used for investigation.
ResultsThe self-management skills of 10.0% of the patients were poor, 78.3% were moderate and 11.7% were fine. The self-management skills of functional training and keeping healthy lifestyle were relatively poor. The factors with a score from the highest to the lowest were:the mental self-management, symptom management, keeping healthy lifestyle, and the self-management of functional training.
ConclusionsThe self-management skills of patients with ankylosing spondylitis range from moderate to relatively poor. Our results suggest that cultural factors and the course of disease may be the main influence factors for self-management skills of patients. Clinical medical personnel should know the situation of patients sufficiently, improve the processes of health education and take corresponding intervention measures to the lack of self management ability. By the above ways, we can improve the compliance obedience and the self-management skills of patients, then the patients' condition and living quality will be greatly improved.
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.
