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Physiological, psychological, and social changes may make older adults more vulnerable to stressors and lead to adverse health outcomes. It remains unclear whether interventions targeting coping strategies in older adults are effective.
This study aimed to systematically review and summarize existing interventions aimed at improving coping strategies in older adults and analyze intervention effectiveness.
A systematic search was conducted using PubMed, EMBASE, Web of Science, Cochrane, CINAHL, PsycINFO, CNKI, SinoMed, VIP, and WanFang databases for randomized controlled trials (RCTs) and quasi-experimental studies. Two researchers independently performed literature screening, quality assessment, and data extraction.
A total of 9 studies were included, comprising 7 RCTs and 2 quasi-experimental studies. Meta-analysis revealed that the interventions significantly enhanced the use of problem-focused coping strategies among older adults (SMD = 0.37, 95% CI: 0.12 ~ 0.63, p = 0.005, I 2 = 39%). However, there was no significant effect on emotion-focused coping strategies (SMD = −0.07, 95% CI [−0.62, 0.48], p = 0.80, I 2 = 76%). Moreover, no significant statistical differences were observed between the intervention group and the control group in terms of positive (SMD = 1.49, 95% CI [−0.23, 3.21], p = 0.09, I 2 = 98%) or negative coping strategies (SMD = −0.76, 95% CI [−1.79, 0.28], p = 0.15, I 2 = 96%).
Interventions targeting coping strategies can significantly improve the problem-focused coping strategies of older adults. It is crucial to help older adults accurately recognize daily stressors, acquire emotional regulation strategies, and enhance coping skills. More large-scale RCTs are needed to draw more robust conclusions.
This study investigated the relationship between clinician assessments and the AI-generated scores, highlighting how correlations vary based on clinician expertise. It also explored the proportion of tissue types identified by clinicians relative to AI assessments and assess the inter-clinician agreement in quantifying tissue types, identifying variations based on clinician experience. A cross-sectional survey used purposive, non-random sampling to recruit 50 wound care clinicians. Participants reported their specialisation and experience level before identifying and quantifying granulation, slough, eschar, and epithelialisation in nine wound images. An AI model analysed the same images for comparison. Experienced clinicians and wound care specialists reported higher confidence in assessments. Inter-clinician agreement was moderate–good for granulation and slough (ICC: 0.763–0.762) and moderate–excellent for eschar (ICC: 0.910), but moderate–poor for epithelialisation (ICC: 0.435). Clinicians strongly correlated with AI for granulation, slough, and eschar (r = 0.879, 0.955 and 0.984, respectively). Epithelialisation was more challenging, with a 60% identification rate and moderate correlation with AI (r = 0.579). AI-generated scores aligned with clinician assessments for granulation, slough, and eschar. However, epithelialisation, which is crucial for objectively measuring healing progress, showed greater variability, suggesting that AI could improve the reliability of its assessment, potentially leading to more consistent wound evaluation to guide treatment decisions.
Managing medication interruptions is considered one of the biggest dilemmas for nurses in clinical settings. To improve medication safety, it was imperative to conduct a systematic review to get a deeper understanding of nurses' experiences with medication interruptions.
A systematic review and qualitative meta-synthesis aimed to explore clinical nurses' experiences of interruption during medication in hospitals.
Systematic searches were conducted in PubMed, CINAHL, Ovid Medline, Embase, Web of Science, and The Cochrane Library from inception to January 2024. The search strategy included four groups of keywords: (1) qualitative research, (2) nurses, (3) medication interruption, and (4) experience. Critical Appraisal Skills Programme was used to assess the quality of the studies. Meta-ethnography was utilized to synthesize the findings of the included studies.
Nine articles published between 2012 and 2023 were included; the number of participants varied from 5 to 40, aged 20–68 years, and the majority were female. Four synthesized findings were identified as follows: (1) an inevitable part of the routine, (2) a decision-making process, (3) working in a minefield, and (4) coping with interruption.
Nurses embraced interruptions as an inherent component of clinical care. Previous experience and nursing culture, encompassing personal and professional aspects, significantly influence nurses' attitudes toward medication interruptions. It is crucial to incorporate the distinctive work experiences of nurses into techniques aimed at efficiently handling interruptions in future research. The registration number in PROSPERO is CRD42023470276.
We conducted this study to assess the effect of ultrasound osteotome on surgical site wound infection and pain following removal of mandibular wisdom teeth. A computerised search of Embase, Cochrane Library, PubMed, Wanfang and China National Knowledge Infrastructure databases for publicly available randomised controlled trials (RCTs) on the clinical effects of applying ultrasound osteotome to extract mandibular wisdom teeth was conducted from the inception of the databases to September 2023. Two researchers independently screened the retrieved results for literature screening, quality assessment and data extraction. RevMan 5.4 software was applied for data analysis. A total of 17 RCTs were included in this study, including 848 cases in the ultrasound osteotome group and 842 cases in the control group. The analysis revealed, compared with the control group, the ultrasound osteotome group showed a significantly lower incidence of postoperative wound infection (1.42% vs. 5.46%, odds ratio [OR]: 0.30, 95% confidence intervals [CI]: 0.17–0.53, p < 0.0001), fewer postoperative complications (6.35% vs. 22.12%, OR: 0.23, 95% CI: 0.17–0.32, p < 0.00001), shorter operative time (standardised mean differences [SMD]: −1.30, 95% CI: −1.97 to −0.64, p = 0.0001) and lower wound pain scores (SMD: −2.26 95% CI −2.80 to −1.73, p < 0.00001). Strong evidence suggests that ultrasound osteotome applied to extract mandibular wisdom teeth is more advantageous in terms of lower postoperative wound infection, less wound pain, fewer postoperative complications and shorter operative time compared with conventional treatment methods, but large-scale, multicentre RCTs are still needed to obtain more accurate results.
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