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To develop a predictive model for high-burnout of nurses.
A cross-sectional study.
This study was conducted using an online survey. Data were collected by the Chinese Maslach Burnout Inventory-General Survey (CMBI-GS) and self-administered questionnaires that included demographic, behavioural, health-related, and occupational variables. Participants were randomly divided into a development set and a validation set. In the development set, multivariate logistic regression analysis was conducted to identify factors associated with high-burnout risk, and a nomogram was constructed based on significant contributing factors. The discrimination, calibration, and clinical practicability of the nomogram were evaluated in both the development and validation sets using receiver operating characteristic (ROC) curve analysis, Hosmer–Lemeshow test, and decision curve analysis, respectively. Data analysis was performed using Stata 16.0 software.
A total of 2750 nurses from 23 provinces of mainland China responded, with 1925 participants (70%) in a development set and 825 participants (30%) in a validation set. Workplace violence, shift work, working time per week, depression, stress, self-reported health, and drinking were significant contributors to high-burnout risk and a nomogram was developed using these factors. The ROC curve analysis demonstrated that the area under the curve of the model was 0.808 in the development set and 0.790 in the validation set. The nomogram demonstrated a high net benefit in the clinical decision curve in both sets.
This study has developed and validated a predictive nomogram for identifying high-burnout in nurses.
The nomogram conducted by our study will assist nursing managers in identifying at-high-risk nurses and understanding related factors, helping them implement interventions early and purposefully.
The study adhered to the relevant EQUATOR reporting guidelines: TRIPOD Checklist for Prediction Model Development and Validation.
No patient or public contribution.
The triglyceride glucose (TyG) index has been confirmed a predictive value for type 2 diabetes mellitus (T2DM). However, no research has yet confirmed whether there is a linear correlation between the TyG index and MACCEs in DFUs. The present study aimed to delve into the association between the TyG index and the risk of MACCEs in patients with DFUs. A total of 960 inpatients with DFUs were recruited. All participants were followed up every 6 months for 11 years with a median of 83 months. According to the cut-off value of the TyG index acquired from receiver operating characteristic (ROC) analysis, the subjects were divided into two groups: low-level (<9.12, n = 480) and high-level (≥9.12, n = 480). The relationship between the TyG index and MACCEs was evaluated by the multivariable Cox regression model, restricted cubic spline (RCS) model, stratified analysis and the Kaplan–Meier survival analysis. Out of 960 participants, 271 experienced MACCEs (28.22%), of whom 79 (29.15%) died. ROC analysis got the optimal TyG index cut-off value of 9.12. Multivariable Cox regression analysis combined with the RCS model showed that the TyG index was positively associated with MACCEs in an S-shaped non-linear dose-dependent manner within the range of TyG index 7.5–9.5 (p < 0.001). The Kaplan–Meier survival analysis indicated the higher the TyG index, the greater the cumulative incidence of MACCEs (log-rank, p < 0.001). The study first confirmed an S-shaped non-linear dose-dependent positive relationship between the TyG index and the risk of MACCEs in DFUs. Consequently, lowering the TyG index level aids in improving the prognosis of patients with DFUs.
To systematically evaluate the efficacy of auricular acupressure on lung function, sleep quality and quality of life in chronic obstructive pulmonary disease patients.
Auricular acupressure has been increasingly used in chronic obstructive pulmonary disease patients, such as lung function and sleep quality, but the efficacy has not yet been unified.
A meta-analysis of randomised controlled trials.
Randomised controlled trials comparing auricular acupressure intervention with non-auricular acupressure intervention in chronic obstructive pulmonary disease patients were included. We searched English databases and Chinese databases from the inception to 26 December 2022. The risk of bias was assessed by the Cochrane risk of bias tool. The PRISMA statement was used to report a meta-analysis.
A total of 12 randomised controlled trials with 987 chronic obstructive pulmonary disease patients were included. The meta-analysis showed that auricular acupressure had significant differences in improving lung function, including FEV1 (MD = 0.29, 95% CI: 0.21 to 0.37, p < .0001), FVC (MD = 0.24, 95% CI: 0.14 to 0.34, p < .0001) and FEV1/FVC (MD = 4.70, 95% CI: 3.63 to 5.78, p < .0001). There was also a positive effect on sleep quality (MD = −0.71, 95% CI: −0.89 to −0.53, p < .0001) and quality of life (MD = −3.20, 95% CI: −3.92 to −2.49, p < .0001).
The results indicated auricular acupressure had a positive efficacy in chronic obstructive pulmonary disease patients to improve lung function, sleep quality and quality of life, but these results should be treated with caution due to the low quality of included studies. Future researchers need to conduct more high-quality randomised controlled trials to provide a solid basis to demonstrate the efficacy of auricular acupressure in chronic obstructive pulmonary disease patients.
Auricular acupressure has the advantages of being non-invasive, convenient and without significant side effects. This review suggested auricular acupressure could be considered a non-pharmacological intervention for patients. Clinical nurses can teach chronic obstructive pulmonary disease patients to perform auricular acupressure to help self-manage complications.
No Patient or Public Contribution.
To synthesize the published studies on medication adherence trajectories among patients with chronic diseases and identify the influencing factors.
Systematic review.
Medline (Ovid), Embase (Ovid) and Web of Science core collection were searched from database inception to 1 July 2022.
Potentially eligible articles were independently screened by three reviewers using set inclusion and exclusion criteria. The Joanna Briggs Institute critical appraisal checklist for cohort studies was used to appraise the quality of the included articles. Three reviewers independently evaluated the quality, extracted data and resolved differences by consensus. Results were presented using descriptive synthesis, and the prevalence of recategorised medication adherence trajectories was calculated from the published data.
Fifty studies were included. Medication adherence trajectories among patients with chronic diseases were synthesized into six categories: adherence, non-adherence, decreasing adherence, increasing adherence, fluctuating adherence and moderate adherence. Low and moderate evidence showed that (1) patient-related factors, including age, sex, race, marital status and mental status; (2) healthcare team and system-related factors, including healthcare utilization, insurance and primary prescriber specialty; (3) socioeconomic factors including education, income and employment status; (4) condition-related factors including complications and comorbidities and (5) therapy-related factors including the number of medications, use of other medications, and prior medication adherence behaviours were factors influencing the medication adherence trajectory. Marital status and prior medication adherence behaviour were the only influencing factors with moderate evidence of an effect.
The medication adherence trajectory among patients with chronic diseases varied widely. Further studies are warranted to determine contributory factors.
Healthcare providers should be aware that patients' medication adherence has different trajectories and should take appropriate measures to improve patients' medication adherence patterns.
None. As a systematic review, patients and the public were not involved.
In a meta-analysis, we assessed the impact of different surgical approaches on the outcome of hepatectomy with hepatocellular carcinoma. Four databases, including PubMed, Embase, Cochrane Library, and the Web of Science, have been critically reviewed through the full literature through June 2023. Eleven related trials were examined once they had met the trial's classification and exclusion criteria, as well as the assessment of the quality. A random effects approach was applied to analysis of operative organ infections, and a fixed-effect model was applied to determine the 95% CI and OR. Analysis of the data was done with RevMan 5.3. Our findings indicated that patients undergoing minimally invasive liver cancer surgery had significantly lower risks of surgical organ infection (OR, 0.35; 95% CI, 0.16–0.77; p = 0.009) and wound infection (OR, 0.19; 95% CI, 0.13–0.28; p < 0.001) compared to those undergoing open surgery. There was no heterogeneity observed between the two groups (I 2 = 0) in wound infection. Nevertheless, because of the limited number of randomised controlled trials in this meta-analysis, care should be taken and carefully considered in the treatment of these values. Further high-quality studies involving a large number of samples are needed to validate and reinforce the results.
We examined whether small incision aortic root replacement could reduce the amount of blood transfusion during operation and the risk of postoperative complications. An extensive e-review of the 4 main databases (PubMed, Cochrane, Web of Science and EMBASE) was carried out to determine all the published trials by July 2023. The search terms used were associated with partial versus full sternotomy and aortic root. This analysis only included the study articles that compared partial and full sternotomy. After excluding articles based on titles or abstracts, selected full-text articles had reference lists searched for any potential further articles. We analysed a total of 2167 subjects from 10 comparable trials. The minimally invasive aortic root graft in breastbone decreased the duration of hospitalization (MD, −2.58; 95% CI, −3.15, −2.01, p < 0.0001) and intraoperative red blood cell transfusion (MD, −1.27; 95% CI, −2.34, −0.19, p = 0.02). However, there were no significant differences in wound infection (OR, 0.88; 95% CI, 0.16, 4.93, p = 0.88), re-exploration for bleeding (OR, 0.96; 95% CI, 0.60, 1.53, p = 0.86), intraoperative blood loss (MD, −259.19; 95% CI, −615.11, 96.73, p = 0.15) and operative time (MD, −7.39; 95% CI, −19.10, 4.32, p = 0.22); the results showed that the microsternotomy did not differ significantly from that of the routine approach. Small sternotomy may be an effective and safe substitute for the treatment of the aorta root. Nevertheless, the wide variety of data indicates that larger, well-designed studies are required to back up the current limited literature evidence showing a benefit in terms of complications like postoperative wound infections or the volume of intraoperative red blood cell transfusion.
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