Comparative efficacy of silver alginate dressings versus standard gauze in enhancing wound healing post-mastectomy for triple-negative breast cancer: A systematic review and meta-analysis.

This meta-analysis evaluates the efficacy of silver alginate dressings (SAD) compared to standard gauze (SG) in enhancing wound healing and reducing scar formation post-mastectomy in patients with triple-negative breast cancer. From an initial pool of 1245 articles, five studies met the inclusion criteria. The analysis revealed that SAD significantly improve early wound healing 1 week post-mastectomy, as indicated by lower Redness, Edema, Ecchymosis, Discharge, and Approximation (REEDA) scales (I2 = 85%; Random: SMD: -7.08, 95% CI: -8.26 to -5.98, p < 0.01), compared to SG. Additionally, long-term scar outcomes measured by the Manchester Scar Scale (MSS) 5 months post-mastectomy showed a notable reduction in scar formation (I2 = 95%; Random: SMD: -12.97, 95% CI: -16.20 to -9.75, p < 0.01)) in the silver alginate group. The findings support the use of SAD in post-mastectomy care for triple-negative breast cancer patients but highlight the need for further research on long-term safety and cost-effectiveness.

A Mixed Methods Investigation of the Prevalence and Influencing Factors of Compassion Fatigue among Midwives in Different Areas of China.

Objective: Exploring the influencing factors of compassion fatigue among midwives to prevent compassion fatigue from occurring and improve their mental health. Methods: A method integrating the quantitative research method and qualitative research method is used. For the quantitative research, a cross-sectional study was carried out. State-run hospitals from three economic areas in China were selected as investigation scope from June 2018 to May 2021. A total of 515 midwives were chosen randomly from three economic areas. SPSS 22.0 was used for data cleaning and statistical description and analysis. The influencing factors of compassion fatigue among midwives were analyzed by fitting these two-level logistic models. For qualitative research, purposive sampling and maximum variation strategy were used to select midwives with mild or above compassion fatigue in the questionnaire survey. Field study and interviews were used to collect data. Results: The results in the quantitative research showed that 515 valid questionnaires were received with 82.14% of midwives whose compassion fatigue were moderate or above. Multilevel statistical model analysis demonstrated that hospital level, children situation, area, working atmosphere, experiences of traumatic delivery, sleep quality, and social support level had impacts on the degree of midwives' compassion fatigue (p < 0.05). The result in the qualitative research showed that 34 midwives were interviewed, and 7 topic ideas were refined. Conclusion: Overall, the incidence of compassion fatigue among midwives is high. Risk factors influencing the degree of midwives' compassion fatigue include lower social support, disharmonious working atmosphere, toddler situation, huge workload, experiences of traumatic delivery, and poor quality of sleep.