In most health care centres, pressure ulcers (PUs) are a common concern. This systematic review aimed to summarise nurses\' practice and related factors toward PU prevention. An extensive search was conducted on electronic databases such as Scopus, PubMed, Web of Science, Iranmedex, and Scientific Information Database via keywords extracted from Medical Subject Headings such as \"Pressure ulcer\", \"Pressure sore\", \"Bedsore\", \"Practice\", and \"Nurses\" from the earliest to 9 March 2022. The quality of the included studies was assessed using the appraisal tool for cross-sectional studies (AXIS tool). Data extraction and quality assessment of included studies were performed by two researchers independently. A total of 6501 nurses were enrolled in twenty-nine studies. Of the participants, 75.15% were female and 55.64% were single, and 94.57% had a bachelor of science in nursing degree. Mean age and work experience of nurses was 30.69 (SD = 4.73) and 8.61 (SD = 5.44) years, respectively. The mean score of nurses\' practices toward the prevention of PUs was 57.58 (SD = 14.62) out of 100. Also, 48.95% of nurses had a desirable practice toward the prevention of PUs. Factors such as knowledge (n = 6), attitude (n = 4), level of education (n = 4), a history of participating in workshops related to the prevention of PUs (n = 3), work experience (n = 2), area of practice (n = 2), self-adequacy (n = 1), follow the literature (n = 1), age (n = 1), and involvement in research (n = 1) had a significant positive relationship with nurses\' practice toward PUs prevention. However, the nurses practice of PUs prevention had a significant negative relationship with lack of job satisfaction (n = 1), disproportionate nurse-to-patient ratio (n = 1), and lack of policies and guidelines (n = 1). The level of nurses\' practice toward the prevention of PUs was relatively desirable. The result of this study can help improve the practice of nurses toward PUs prevention. Increasing nurses\' knowledge and attitude toward PUs prevention can improve their practice. Therefore, it is suggested that policymakers and nursing managers implement PUs prevention education for nurses based on the factors associated with nurses\' practice.

The purpose was to identify and summarize the existing evidence on the efficacy and safety of the topical application of olive oil for preventing pressure ulcers (PUs). We included only randomized controlled trials (RCTs) involving patients at risk of developing PUs, testing the topical application of olive oil versus other products for PU prevention. We assessed the risk of bias using the RoB 2 tool, and the certainty of the evidence with GRADE. Four RCTs met the eligibility criteria. All studies were judged at a low risk of bias overall. The meta-analysis showed that the clinical efficacy of olive oil for prevention occurs by reducing the incidence of PUs (RR = 0.56, 95% CI = 0.30 to 0.79, I2 = 0%); with no differences in adverse effects, it may be associated with a shorter development time of PUs and shorter hospital stays. The certainty of the evidence assessed by the GRADE approach was moderate and low. The topical application of olive oil is effective and safe in reducing the incidence of PUs compared to other treatments. These findings could provide new insights into olive oil as a preventive and alternative treatment for PUs as it is accessible and inexpensive compared to other products.

BACKGROUND: Pressure injury (PI) is a common and preventable problem, yet it is a challenge for at least two reasons. First, the nurse shortage is a worldwide phenomenon. Second, the majority of nurses have insufficient PI-related knowledge. Machine learning (ML) technologies can contribute to lessening the burden on medical staff by improving the prognosis and diagnostic accuracy of PI. To the best of our knowledge, there is no existing systematic review that evaluates how the current ML technologies are being used in PI management.
OBJECTIVE: The objective of this review was to synthesize and evaluate the literature regarding the use of ML technologies in PI management, and identify their strengths and weaknesses, as well as to identify improvement opportunities for future research and practice.
METHODS: We conducted an extensive search on PubMed, EMBASE, Web of Science, Cumulative Index to Nursing and Allied Health Literature (CINAHL), Cochrane Library, China National Knowledge Infrastructure (CNKI), the Wanfang database, the VIP database, and the China Biomedical Literature Database (CBM) to identify relevant articles. Searches were performed in June 2020. Two independent investigators conducted study selection, data extraction, and quality appraisal. Risk of bias was assessed using the Prediction model Risk Of Bias ASsessment Tool (PROBAST).
RESULTS: A total of 32 articles met the inclusion criteria. Twelve of those articles (38%) reported using ML technologies to develop predictive models to identify risk factors, 11 (34%) reported using them in posture detection and recognition, and 9 (28%) reported using them in image analysis for tissue classification and measurement of PI wounds. These articles presented various algorithms and measured outcomes. The overall risk of bias was judged as high.
CONCLUSIONS: There is an array of emerging ML technologies being used in PI management, and their results in the laboratory show great promise. Future research should apply these technologies on a large scale with clinical data to further verify and improve their effectiveness, as well as to improve the methodological quality.

Globally, PUs are recognized as one of the five most frequent causes of harm to clients. With millions affected globally, the national pooled prevalence of pressure ulcers in Ethiopia remains unknown. Hence, this review and meta-analysis aimed to determine the prevalence of pressure ulcers among hospitalized clients in Ethiopia.
Studies were retrieved through search engines in PubMed, Scopus, WHO Afro Library, Google Scholar, Africa Journals Online, and Web of Science. Heterogeneity between-studies were checked using the I2 test. A funnel plot and Egger\'s regression test was used to assess the presence of publication bias. The random-effect model was fitted to estimate summary effects and 95% confidence intervals (CIs) across studies. The analyses were performed using STATA™ Version 14 software.
The pooled prevalence of pressure ulcer in Ethiopia was assessed using seven studies involving a total of 1881 participants. The pooled prevalence of pressure ulcers in Ethiopia was 11.7% (95% CI: 7.28, 16.13). The subgroup analysis showed that the estimated magnitude of pressure ulcers was 15.89% (95% CI: 13.32, 18.46); among studies, their sample size was greater than or equal to 250.
The current review reported that the pooled prevalence of pressure ulcers in Ethiopia was relatively high. Hence, policymaker and healthcare providers should give attention to reduce the magnitude of pressure ulcers. Furthermore, further a meta-analysis study could be conducted to identify individual and health care service-related factors related to the occurrence of pressure ulcers.

At present, the solutions to prevent bedsore include using various techniques for movement and displacement of patients, which is not possible for some patients or dangerous for some of them while it also poses problems for health care providers. On the other hand, development of information technology in the health care system including application of wireless sensor networks (WSNs) has led to easy and quick service-providing. It can provide a solution to prevent bedsore in motionless and disabled patients. Hence, the aim of this article was first to introduce WSNs in hospital beds and second, to identify the benefits and challenges in implementing this technology. This study was a nonsystematic review. The literature was searched for WSNs to reduce and prevent bedsores with the help of libraries, databases (PubMed, SCOPUS, and EMBASE), and also searches engines available at Google Scholar including during 1974-2014 while the inclusion criteria were applied in English and Persian. In our searches, we employed the following keywords and their combinations: \"wireless sensor network,\" \"smart bed,\" \"information technology,\" \"smart mattress,\" and \"bedsore\" in the searching areas of titles, keywords, abstracts, and full texts. In this study, more than 45 articles and reports were collected and 37 of them were selected based on their relevance. Therefore, identification and implementation of this technology will be a step toward mechanization of traditional procedures in providing care for hospitalized patients and disabled people. The smart bed and mattress, either alone or in combination with the other technologies, should be capable of providing all of the novel features while still providing the comfort and safety features usually associated with traditional and hospital mattresses. It can eliminate the expense of bedsore in the intensive care unit (ICU) department in the hospital and save much expense there.