Conocimiento en estudiantes de enfermería sobre desinfección terminal del área quirúrgica / Knowledge in nursing students about terminal disinfection of the surgical area

Determinar el nivel de conocimiento de los estudiantes de enfermería de la Universidad Técnica de Ambato sobre la desinfección terminal del área quirúrgica. Metodología: Esta investigación es cuantitativa, con enfoque descriptivo de cohorte transversal ya que el nivel de conocimiento se ha representado mediante tablas y gráficos para describir la problemática del periodo octubre 2023-febrero 2024. Resultados: Se evidencia el alto porcentaje de respuestas incorrectas por cada ítem por parte de los estudiantes. La categoría desinfección fue respondida de manera incorrecta con un porcentaje del 26%, la categoría proceso de desinfección con el 55,6%, la categoría aplicación del DAN con el 45.8%, la categoría desinfectante del DAN con el 36,2% y, por último, la categoría riesgo y prevención del DAN con el 29,2%. Conclusiones: El nivel de conocimiento de los estudiantes sobre desinfección es bajo, porque no están lo suficientemente motivados o interesados en el tema de desinfección[AU]

Determine the level of knowledge of nursing students at the Technical University of Ambato about terminal disinfection of the surgical area.Methodology:This research is quantitative, with a descriptive cross-sectional cohort approach and the level of knowledge has been represented through tables and graphs to describe the problems of the period October 2023-February 2024.Results:A high percentage of incorrect answers for each item by the students is evident. The disinfection category was answered incorrectly with a percentage of 26%, the disinfection process category with 55.6%, the DAN application category with 45.8%, the disinfectant category with 36.2% and, finally, the DAN risk and prevention category. with 29.2%. Conclusions:The level of knowledge of students about disinfection is low, because they are not sufficiently motivated or interested in the topic of disinfection[AU]

Determinar o nível de conhecimento dos estudantes de enfermagem da Universidade Técnica de Ambato sobre desinfecção terminal da área cirúrgica. Metodologia:Esta pesquisa é quantitativa, com abordagem descritiva de coorte transversal e o nível de conhecimento foi representado por meio de tabelas e gráficos para descrever os problemas do período outubro de 2023 a fevereiro de 2024.Resultados: Evidencia-se um alto percentual de respostas incorretas para cada item por parte dos alunos. A categoria desinfecção foi respondida incorretamente com um percentual de 26%, a categoria processo de desinfecção com 55,6%, a categoria aplicação DAN com 45,8%, a categoria desinfetante com 36,2% e, por último, a categoria risco e prevenção DAN. com 29,2%.Conclusões:O nível de conhecimento dos alunos sobre desinfecção é baixo, porque não estão suficientemente motivados ou interessados no tema da desinfecção[AU]

Conocimiento en estudiantes de enfermería sobre sepsis quirúrgico / Knowledge in nursing students about surgical sepsis

Objetivo: Determinar el nivel de conocimiento de los estudiantes de enfermería de la Universidad Técnica de Ambato sobre sepsis quirúrgica. Material y método: La presente investigación tiene un diseño de desarrollo observacional, de tipo descriptivo, cohorte transversal, con un enfoque cuantitativo, ya que el nivel de cono-cimiento se verá representado mediante tablas y gráficos para des-cribir la problemática del periodo octubre 2023 febrero 2024. Re-sultados: Se evidencia un alto porcentaje de respuestas incorrectas por cada ítem por parte de los estudiantes. La categoría Nivel de Conocimiento sobre Definición de Sepsis, fue respondida de ma-nera incorrecta con un porcentaje del 83,9%, la categoría Nivel de Conocimiento sobre Diagnóstico de Sepsis obtuvo 51,7% y, por úl-timo, la Nivel de Conocimiento sobre Tratamiento de Sepsis con el 29,2%. Conclusiones: El nivel de conocimiento de los estudiantes sobre Sepsis Quirúrgica es malo, debido a que existe una subesti-mación de la gravedad de la sepsis como afección potencialmente mortal, lo que puede traer un impacto negativo en los pacientes[AU]

Objective: Determine the level of knowledge of nursing students at the Technical University of Ambato about surgical sepsis. Mate-rials and methods: This research has an observational, descriptive, transversal development design, with a quantitative approach since the level of knowledge will be represented through tables and gra-phs to describe the problems of the period October 2023-February 2024. Results: A high percentage of incorrect answers for each item by the students is evident. The category Level of Knowledge about Definition of Sepsis was answered incorrectly with a percentage of 83.9%, the category Level of Knowledge about Diagnosis of Sepsis obtained 51.7% and, finally, the category Level of Knowledge about Treatment of Sepsis. Sepsis with 29.2%. Conclusions: The level of knowledge of students about Surgical Sepsis is poor because there is an underestimation of the severity of sepsis as a potentially fatal condition, which can have a negative impact on patients[AU]

Objetivo: Determinar o nível de conhecimento dos estudantes de enfermagem da Universidade Técnica de Ambato sobre sepse ci-rúrgica. Material e método: Esta pesquisa possui desenho de coor-te observacional, descritivo, transversal, com abordagem quantita-tiva, uma vez que o nível de conhecimento será representado por meio de tabelas e gráficos para descrever o problema no período de outubro de 2023 a fevereiro de 2024. Resultados: Uma parada. É evidente o percentual de respostas incorretas para cada item por parte dos alunos. A categoria Nível de Conhecimento sobre Defi-nição de Sepse foi respondida incorretamente com percentual de 83,9%, a categoria Nível de Conhecimento sobre Diagnóstico de Sepse obteve 51,7% e por fim, a categoria Nível de Conhecimen-to sobre Tratamento de Sepse com 29,2%. Conclusões: O nível de conhecimento dos estudantes sobre a Sepse Cirúrgica é baixo, pois há uma subestimação da gravidade da sepse como uma condição potencialmente fatal, que pode ter um impacto negativo nos pa-cientes[AU]

Indonesian dentists' views on providing oral health care for older adults.

BACKGROUND: With demographic changes in aging populations, dentists require special care protocols to treat older adults with diverse and complex oral health needs and problems. Knowledge, positive attitudes, and sufficient practice experience are essential components for promptly treating older adults. However, many dentists encounter multiple barriers influencing their willingness to provide care for older adults. This study assessed Indonesian dentists' knowledge, attitudes, and practices (KAP) in providing oral health care (OHC) for older adults, including their willingness and barriers. METHODS: A cross-sectional survey was conducted with 392 dentists employing an online questionnaire between April and June 2022. The respondents' KAP was categorised utilising a modified Blooms' cut-off point of ≥60%. Data were analysed using descriptive statistics, the x2 test, and logistic regression. RESULTS: Most dentists demonstrated adequate knowledge (62.2%), a positive attitude (95.4%), sufficient practice experience (91.6%), and a high willingness (98%) to provide OHC services for older adults. However, 91.4% encountered barriers primarily related to interpersonal communication, disease complexity and polypharmacy, and patient functional status. Significant associations were found between dentists' attitudes toward practices and willingness to attend geriatric dentistry training with knowledge. CONCLUSION: Implementation of continuing professional development (CPD) in geriatric dentistry, the inclusion of geriatric dentistry into the undergraduate curriculum, and enhancing clinic accessibility for older adults may improve dentists' preparedness and benefit the future provision of OHC for older adults in Indonesia.

Knowledge-reinforced explainable next basket recommendation.

The next basket recommendation task aims to predict the items in the user's next basket by modeling the user's basket sequence. Existing next basket recommendations focus on improving recommendation performance, and most of these methods are black-box models, ignoring the importance of providing explanations to improve user satisfaction. Furthermore, most next basket recommendation methods are designed for consumer users, and few methods are proposed for business user characteristics. To address the above problems, we propose a Knowledge Reinforced Explainable Next Basket Recommendation (KRE-NBR). Specifically, we construct a basket-based knowledge graph and obtain pretrained embeddings of entities that contain rich information of the knowledge graph. To obtain high-quality user predictive vectors, we fuse user pretrained embeddings, user basket sequence level embeddings, and user repurchase embeddings. One highlight of the user repurchase embeddings is that they are able to model business user repurchase behavior. To make the results of next basket recommendations explainable, we use reinforcement learning for path reasoning to find the items recommended in the next basket and generate recommendation explanations at the same time. To the best of our knowledge, this is the first work to provide recommendation explanations for next basket recommendations. Extensive experiments on real datasets show that the recommendation performance of our proposed approach outperforms several state-of-the-art baselines.

Corrigendum: How incidental and intentional news exposure in social media relate to political knowledge and voting intentions.

[This corrects the article DOI: 10.3389/fpsyg.2023.1250051.].

Analysis of the diet, weight-loss behavior, and nutritional knowledge of athletes and coaches in weightclass sports: influence of a coach's nutritional knowledge on athletes.

BACKGROUND: This study was conducted to investigate the nutritional knowledge of elite athletes undergoing weight loss and to identify differences in weight-loss strategies according to nutritional knowledge. METHODS: The participants included 22 coaches and 88 elite athletes registered under the same affiliation. The survey involved translating the General Nutrition Knowledge Questionnaire (GNKQ), and interviews were used to confirm the diet and weight loss patterns of the athletes. The coaches and athletes were divided into high-rank (12 coaches and 57 athletes) and low-rank (10 coaches and 31 athletes) groups based on GNKQ scores. Paired t-tests, correlation analysis, and logistic regression analysis were performed. RESULTS: GNKQ results showed significant differences between high-ranking and low-ranking coaches (p < 0.001). Furthermore, a significant difference in nutrition knowledge scores was also noticed between athletes with high-ranking and low-ranking coaches (p < 0.001). A strong correlation was observed between the GNKQ scores of coaches and athletes (r = 0.369; p < 0.001). The nutritional knowledge of coaches was also correlated with weight-loss strategies (weight loss attempt frequency; r = -0.235; p = 0.027; weight loss duration; r = -0.268; p = 0.012). Additionally, differences were observed in the intake of all nutrients (carbohydrates, proteins, and fat) in the diets of athletes (p < 0.001). CONCLUSION: Our study suggests that the nutritional knowledge of coaches indirectly affects athletes. Coaches have significant influence over athletes and possess experience with diet and weight-loss patterns. This insight should be effectively utilized to enhance the training and performance of athletes and coaches.

Solidarity in disaster scholarship.

Disaster scholarship purportedly promotes disaster risk reduction and resists disaster risk creation, thereby deeply engaging with transboundary existential risks, justice, and political power. It is thus a commitment to humanity, and for it to become truly equitable and just, solidarity must lie at its heart. In this paper we connect solidarity with knowledge production and assess the implications of disaster scholarship and the relationships on which it is built. We offer a critique of the kind of research produced by neoliberal academic institutions and provocations for resistance through solidarity. We call on disaster scholars to use these prompts to reflect on their practice, research ethics, and their commitment to other human beings, inside and outside of the academy. Solidarity can help scholars to avoid the saviourism, self-congratulation, and paternalism that are common in academia. Solidarity in disaster scholarship is a worthy endeavour precisely because it yields a concrete alternative vision of resisting disaster risk creation through knowledge production.

Knowledge of and attitude towards depression among urban and rural residents in Beijing: a cross-sectional study.

OBJECTIVES: To compare the level of knowledge of depression, recognition ability and attitudes towards depression among urban and rural residents in Beijing. DESIGN: A cross-sectional study. SETTING: Six districts in Beijing, China, 2021. PARTICIPANTS: A total of 6463 participants aged 18 years and above who had lived for more than 6 months over the last year in Beijing were selected in this study. OUTCOME: The awareness and recognition of depression and the views of residents towards people with depression. RESULTS: A total of 2554 urban and 2043 rural residents completed the survey. Urban residents of Beijing exhibited a higher average total score on the Depression Knowledge Questionnaire [(20.4±3.3) vs (18.7±3.5), p<0.001] and a higher rate of correctly identifying individuals with depression (47.9% vs 36.6%, p<0.001) than their counterparts in rural areas. Residents who correctly identified people with depression had higher scores on the Depression Knowledge Questionnaire. Depression knowledge varied significantly among urban and rural residents. The multivariate linear regression analysis revealed that rural residents scored significantly lower on measures of depression knowledge compared with urban residents (B=-0.83, 95%CI=-1.03 to -0.63, p<0.001). Older individuals (aged 50+) showed lower understanding compared with the 18-49 age group, with significant negative regression coefficients (Urban: B=-1.06, Rural: B=-1.35, both p<0.001). Higher educational levels were positively associated with greater depression knowledge (Urban: B=1.40, Rural: B=1.21, both p<0.001). Employment was linked to higher knowledge levels than unemployment (Urban: B=-0.60, Rural: B=-0.58, both p=0.00). A monthly income of 8000 yuan or more correlated with better depression understanding than lower incomes (Urban: B=0.81, Rural: B=1.04, both p<0.001). Additionally, in urban areas, unmarried residents scored higher in depression knowledge than those divorced (B=-0.55, p=0.04). Residents in urban areas had relatively positive attitudes towards individuals with depression. CONCLUSIONS: Rural residents of Beijing had lower levels of knowledge and recognition of depression and more negative attitudes towards individuals with depression than those from urban areas. The health authority needs to focus on the poor level of knowledge and increase mental health resources in rural areas as a priority site for future psychological popularisation efforts.

Psychological Interventions and Those With Elements of Positive Psychology for Child and Youth Mental Health During the COVID-19 Pandemic: Literature Review, Lessons Learned, and Areas for Future Knowledge Dissemination.

BACKGROUND: There was a marked decline in child and teenage mental health worldwide during the pandemic, with increasing prevalence of depression, anxiety, and suicide. Research indicates that positive psychological interventions may be beneficial for mental health. OBJECTIVE: The aims of this review were to evaluate positive psychological interventions for child and youth mental health implemented during the COVID-19 pandemic and assess overall effectiveness for mental health and knowledge. METHODS: We undertook a literature search of PubMed, MEDLINE, and Google Scholar for all eligible studies on digital and hybrid in-person psychological interventions for youth mental health during the COVID-19 pandemic. A particular emphasis was placed on positive psychological interventions or interventions that had components of positive psychology, including gratitude, acceptance, positive emotions, or resilience building. RESULTS: A total of 41 interventions were included in this review. Most of the interventions were digital. Overall, most of the interventions assisted with one or more mental health or psychological indicators, such as depression, anxiety, posttraumatic stress disorder, stress, and resilience. However, findings were mixed when it came to targeting both depression and anxiety together. The interventions that promoted youth mental health most often had a range of diverse positive psychology components and were evidence based. Not all studies measured changes in mindfulness. Few studies examined knowledge acquired on mental health self-care, managing mental health problems, knowledge of positive psychological techniques, mindfulness knowledge, or mental health self-efficacy. CONCLUSIONS: Diverse multicomponent interventions appear to assist with youth mental health overall, although their effects on both depression and anxiety are less clear. There is also a need for more research on knowledge gains to determine whether the interventions improved knowledge on mental health-supportive behaviors, which may be sustained beyond the intervention. Finally, more studies need to evaluate whether the interventions assisted with increasing self-efficacy for practicing positive psychological techniques as well as changes in mindfulness levels. Future studies should not only assess effectiveness for mental health outcomes but also assess knowledge translation, with valid measures of knowledge and self-efficacy for mental health-supportive behaviors and positive psychological skills acquired (eg, the ability to practice mindfulness).

Predicting drug-target interactions by measuring confidence with consistent causal neighborhood interventions.

Predicting drug-target interactions (DTI) is a crucial stage in drug discovery and development. Understanding the interaction between drugs and targets is essential for pinpointing the specific relationship between drug molecules and targets, akin to solving a link prediction problem using information technology. While knowledge graph (KG) and knowledge graph embedding (KGE) methods have been rapid advancements and demonstrated impressive performance in drug discovery, they often lack authenticity and accuracy in identifying DTI. This leads to increased misjudgment rates and reduced efficiency in drug development. To address these challenges, our focus lies in refining the accuracy of DTI prediction models through KGE, with a specific emphasis on causal intervention confidence measures (CI). These measures aim to assess triplet scores, enhancing the precision of the predictions. Comparative experiments conducted on three datasets and utilizing 9 KGE models reveal that our proposed confidence measure approach via causal intervention, significantly improves the accuracy of DTI link prediction compared to traditional approaches. Furthermore, our experimental analysis delves deeper into the embedding of intervention values, offering valuable insights for guiding the design and development of subsequent drug development experiments. As a result, our predicted outcomes serve as valuable guidance in the pursuit of more efficient drug development processes.

Data-Driven Strain Sensor Design Based on a Knowledge Graph Framework.

Wearable flexible strain sensors require different performance depending on the application scenario. However, developing strain sensors based solely on experiments is time-consuming and often produces suboptimal results. This study utilized sensor knowledge to reduce knowledge redundancy and explore designs. A framework combining knowledge graphs and graph representational learning methods was proposed to identify targeted performance, decipher hidden information, and discover new designs. Unlike process-parameter-based machine learning methods, it used the relationship as semantic features to improve prediction precision (up to 0.81). Based on the proposed framework, a strain sensor was designed and tested, demonstrating a wide strain range (300%) and closely matching predicted performance. This predicted sensor performance outperforms similar materials. Overall, the present work is favorable to design constraints and paves the way for the long-awaited implementation of text-mining-based knowledge management for sensor systems, which will facilitate the intelligent sensor design process.

SpecRep: Adversary Emulation Based on Attack Objective Specification in Heterogeneous Infrastructures.

Cybercriminals have become an imperative threat because they target the most valuable resource on earth, data. Organizations prepare against cyber attacks by creating Cyber Security Incident Response Teams (CSIRTs) that use various technologies to monitor and detect threats and to help perform forensics on machines and networks. Testing the limits of defense technologies and the skill of a CSIRT can be performed through adversary emulation performed by so-called "red teams". The red team's work is primarily manual and requires high skill. We propose SpecRep, a system to ease the testing of the detection capabilities of defenses in complex, heterogeneous infrastructures. SpecRep uses previously known attack specifications to construct attack scenarios based on attacker objectives instead of the traditional attack graphs or a list of actions. We create a metalanguage to describe objectives to be achieved in an attack together with a compiler that can build multiple attack scenarios that achieve the objectives. We use text processing tools aided by large language models to extract information from freely available white papers and convert them to plausible attack specifications that can then be emulated by SpecRep. We show how our system can emulate attacks against a smart home, a large enterprise, and an industrial control system.

A Hybrid Framework for Maritime Surveillance: Detecting Illegal Activities through Vessel Behaviors and Expert Rules Fusion.

Maritime traffic is essential for global trade but faces significant challenges, including navigation safety, environmental protection, and the prevention of illicit activities. This work presents a framework for detecting illegal activities carried out by vessels, combining navigation behavior detection models with rules based on expert knowledge. Using synthetic and real datasets based on the Automatic Identification System (AIS), we structured our framework into five levels based on the Joint Directors of Laboratories (JDL) model, efficiently integrating data from multiple sources. Activities are classified into four categories: illegal fishing, suspicious activity, anomalous activity, and normal activity. To address the issue of a lack of labels and integrate data-driven detection with expert knowledge, we employed a stack ensemble model along with active learning. The results showed that the framework was highly effective, achieving 99% accuracy in detecting illegal fishing and 92% in detecting suspicious activities. Furthermore, it drastically reduced the need for manual checks by specialists, transforming experts' tacit knowledge into explicit knowledge through the models and allowing continuous updates of maritime domain rules. This work significantly contributes to maritime surveillance, offering a scalable and efficient solution for detecting illegal activities in the maritime domain.

Enhancing Unmanned Aerial Vehicle Security: A Zero-Knowledge Proof Approach with Zero-Knowledge Succinct Non-Interactive Arguments of Knowledge for Authentication and Location Proof.

UAVs are increasingly being used in various domains, from personal and commercial applications to military operations. Ensuring the security and trustworthiness of UAV communications is crucial, and blockchain technology has been explored as a solution. However, privacy remains a challenge, especially in public blockchains. In this work, we propose a novel approach utilizing zero-knowledge proof techniques, specifically zk-SNARKs, which are non-interactive cryptographic proofs. This approach allows UAVs to prove their authenticity or location without disclosing sensitive information. We generated zk-SNARK proofs using the Zokrates tool on a Raspberry Pi, simulating a drone environment, and analyzed power consumption and CPU utilization. The results are promising, especially in the case of larger drones with higher battery capacities. Ethereum was chosen as the public blockchain platform, with smart contracts developed in Solidity and tested on the Sepolia testnet using Remix IDE. This novel proposed approach paves the way for a new path of research in the UAV area.

Knowledge, attitudes, and practices towards COVID-19 prevention among indigenous population in Malaysia: A cross-sectional study.

The COVID-19 pandemic has become a significant challenge to humanity, especially marginalized groups such as indigenous people. This study aimed to assess the knowledge, attitude, and practice towards COVID-19 prevention among the indigenous population in Lipis district, Pahang, Malaysia. A cross-sectional study was conducted among the indigenous population and the data were collected through face-to-face interviews using a validated questionnaire. The mean score of knowledge, attitude, and practice were 2.35 (SD 1.104), 32.84 (SD 4.756), and 9.64 (SD 3.227), respectively. In the bivariable analysis, the younger the age (p < 0.001), and the higher the education level (p = 0.001) of the participants, the higher the knowledge score on COVID-19. Meanwhile, the female participants (p = 0.043) and the higher the household income, the higher the attitude score of the participants (p = 0.006). Factors that contributed to a higher score of practice towards COVID-19 prevention were younger age (p = 0.013), female (p < 0.001), no religion (p = 0.026), unemployed (p < 0.001), and higher household income (p = 0.012). There was a positive correlation between knowledge score and practice score (p = 0.001) and a positive correlation between attitude score and practice score (p < 0.001), respectively. Multivariable regression analysis showed that the younger age (p < 0.001) was significantly associated with a higher knowledge score. Furthermore, female (p = 0.018), unemployed (p = 0.001), higher knowledge score (p < 0.001), and higher attitude score (p < 0.001) were significantly associated with a higher score of practice towards COVID-19 prevention among the participants, respectively. Indigenous people in Malaysia have a good knowledge, attitude, and practice towards COVID-19. However, strategic planning and programmes related to preventive practices against infectious disease outbreaks need to be conducted continuously to reduce the outbreaks in the future.

Ethnobotanical study of medicinal plants in Dibatie district, Metekel zone, Benishangul Gumuz Regional State, western Ethiopia.

BACKGROUND: Herbal medicine has been used for the treatment of human and livestock ailments since ancient times. Numerous rural and urban communities in Ethiopia practice traditional medicine and transfer the knowledge verbally from generation to generation. Thus, this study was conducted to document the traditional medicinal plants and associated indigenous knowledge in Dibatie district, Metekel zone, Benishangul Gumuz Regional State, western Ethiopia. METHODS: Three hundred seventy-four (374) informants from 11 kebeles (the smallest administrative units) were selected and participated in the data delivery. The ethnobotanical data collection was carried out using semi-structured interviews, preference ranking, direct matrix ranking, field observation, market surveys, and focus group discussions, including voucher specimen collections. The ethnobotanical data were analyzed using descriptive statistics (frequency and percentage), ranking, comparison, and quantitative ethnobotanical techniques such as informant consensus factor, fidelity level index, Jaccard's coefficient of similarity, and use value index. RESULTS: A total of 170 plant species were recorded to treat 79 human and 29 livestock ailments. Fabaceae (with 20 species) and Asteraceae (with 18 species) were the most dominant medicinal plant families in the area. Most remedial plants were herbs (61 species, 35.88%), followed by shrubs (39 species, 22.94%). The majority (135 species, 79.41%) of medicinal plants were harvested from wild sources and mainly possessed multiple remedy parts (41.17%) that are usually prescribed in fresh form (60.13%). The most commonly reported human ailment was snake venom, while blackleg was mostly reported among livestock diseases. The herbal medicines were mostly administered orally (52.20%), followed by dermal (17.62%) application. Embelia schimperi Vatke, Glinus lotoides L., Haplosciadium abyssinicum Hochst., Mucuna melanocarpa Hochst. ex A. Rich., and Phragmanthera macrosolen (Steud. ex A. Rich.) M.G.Gilbert had the highest fidelity level values (100%) against the corresponding ailments. CONCLUSION: The study area is rich in a diversity of potential medicinal plants and associated indigenous knowledge. Thus, appropriate conservation actions and careful utilization are essential to counteract the rise of anthropogenic threats and to ensure the continuity of plants with the related indigenous knowledge. Additionally, the medicinal plants should be validated through experimentation to integrate local knowledge with modern medications.

Knowledge and Practice of Women With HIV on Cervical Cancer Prevention and Control and their Attributes to Utilize the Screening Services in Ethiopia: A Cross Sectional Study.

BACKGROUND: Previous studies underscore the crucial link between awareness and timely cervical cancer screening and treatment, particularly among women of reproductive age. Yet, insights remain limited when it comes to women living with HIV in Addis Ababa. This study examined the knowledge and practices of these women regarding cervical cancer screening and treatment, illuminating the factors that both enable and hinder their uptake. METHODS: This cross-sectional study took place in six public hospitals in Addis Ababa, Ethiopia, involving 578 women with HIV. The recruitment spanned 10 months, from January 1st to October 31st, 2021. Trained clinicians utilized the Open Data Kit for data collection, ensuring real-time submission to the server. Statistical analysis was performed using SPSS version 25, employing descriptive and inferential statistics. The logistic regression model identified predictors of outcome variables, and open-ended questions were thematically narrated for qualitative insights. RESULTS: A notable 51.2% of women with HIV exhibited inadequate knowledge regarding cervical cancer prevention and control programs. Furthermore, a substantial 68.5% had never undergone cervical examination, citing reasons such as considering themselves healthy (49.6%), perceiving the examination as painful (28.4%), and feeling shy to undergo screening (23.3%). Notably, participants with non-formal education were 70% less likely to possess knowledge about cervical cancer prevention and control (AOR = 0.30; 95% CI = 0.13-0.71). Income emerged as an independent predictor for both knowledge and practice in women's approach to cervical cancer prevention and control (P < 0.05). Additionally, occupation and duration of HIV diagnosis independently predicted practice, even after adjusting for confounding factors. CONCLUSION: Half of the participating HIV-positive women lacked adequate awareness about cervical cancer prevention and control, underscoring the urgent need for comprehensive awareness initiatives tailored to this population. Relevant ministries, health care providers, and advocacy groups must collaborate to implement targeted education programs, utilizing diverse channels like community outreach, health care settings, and media campaigns.

Meta-analysis of the effectiveness of educational programs about HIV prevention on knowledge, attitude, and behavior among adolescents.

The prevalence of human immunodeficiency virus (HIV) among adolescents is on the rise due to a lack of comprehensive knowledge, leading to suboptimal attitudes and behaviors, which emphasizes the critical need for targeted interventions. The aim of this review study was to evaluate the effectiveness of educational interventions for HIV prevention among adolescents by assessing their impact on knowledge, attitude, and behavior. A systematic review of seven databases: PubMed, Science Direct, Cochrane, JSTOR, Embase, Scopus, and EBSCO were identified, and 14 eligible randomized controlled trials published until June 2023 were included. Two independent authors assessed quality appraisal using the Risk of Bias 2.0. Outcomes were measured using the standard mean difference (SMD) with random effects model and a 95% confidence interval. Subgroup analyses and meta-regression were performed to explore heterogeneity. The results showed significant improvements in participants' knowledge (SMD: 1.13, 95%CI: 0.78-1.49), behavior intentions (SMD: 1.22, 95%CI: 0.37-2.07), and attitude (SMD: 0.48, 95%CI: 0.02-0.95) after receiving HIV prevention education programs. Interventions grounded in theoretical principles and incorporating technology, group settings, and audio-visual aids were found to be effective in enhancing knowledge of HIV prevention and promoting behavioral intentions. Peer-led education positively impacted both knowledge and attitude. Moreover, excluding parents from these programs was identified as a crucial factor in improving adolescents' knowledge of HIV prevention. In conclusion, educational programs focused on HIV effectively enhance adolescents' knowledge, attitudes, and behavioral intentions among adolescents. Professionals planning interventions should consider these impactful components in designing comprehensive strategies.

Comparison of Knowledge About Induced Pluripotent Stem Cells in Relation to Gender Among Healthcare Professionals and in the General Population.

INTRODUCTION: Induced pluripotent stem cells (iPSCs) are derived by reprogramming adult somatic cells using a forced expression of four specific transcription factors in a highly controlled artificial environment. The aim of this paper is to examine the knowledge about these cells of the general population and the population of health workers in relation to gender. METHODS: The research was designed as a cohort study conducted with a validated questionnaire to assess knowledge about iPSCs. Respondents were people over 18 years of age on the territory of the cities of Belgrade and Kragujevac in Serbia. RESULTS: The study surveyed a total of 1,047 respondents, 560 (53.5%) women and 487 (46.5%) men. Statistically significant differences were observed for both genders. Women from both populations were better informed, more often agreed to treatment with iPSCs, more often supported further research, and were willing to take further education about iPSCs. CONCLUSION: Comparing men and women from both populations, we found that men and women health workers showed greater knowledge compared to the general population. Level of knowledge and attitudes of the public can have multiple effects on further research emphasizing the importance of the support of public opinion about this type of treatment.