Sepsis accounts for a significant proportion of preventable deaths worldwide and early treatment has been found to be a mainstay of decreasing mortality. Early identification of sepsis in the first-aid setting is critical as this results in a shorter time to hospital presentation and management with antibiotics and initial resuscitation. Our aim was to explore the existing literature related to either sepsis recognition or awareness of sepsis by first-aid providers who are evaluating an adult suspected of an acute infection. Our scoping review was performed as part of the International Liaison Committee on Resuscitation\'s (ILCOR) continuous evidence evaluation process to update the 2024 ILCOR Consensus on Science with Treatment Recommendations. We searched Embase, Medline, and Cochrane databases from their inception to January 17, 2023, with updated searches performed on November 21, 2023, and December 2, 2023. The gray literature search was conducted on August 29, 2023. The population included adults presenting with an acute illness exhibiting signs and symptoms of a severe infection. Outcomes included sepsis recognition or awareness of sepsis by a lay first-aid provider. After reviewing 4380 potential sources, four reviews (three systematic reviews and one scoping review), 11 observational studies, and 27 websites met the inclusion criteria. No study directly addressed our PICOST (Population, Intervention, Comparator, Outcomes, Study Design, and Timeframe) question as none were performed in the first-aid setting. Three systematic reviews and nine observational studies that assessed the ability of early warning scores to detect sepsis and predict adverse outcomes secondary to sepsis had inconsistent results, but many found the screening tools to be useful. One scoping review and one observational study found public knowledge and awareness of sepsis to be variable and dependent upon healthcare employment, location, education level, ethnicity, sex, and age. Signs and symptoms associated with sepsis as listed by gray literature sources fell primarily under nine general categories as a means of educating the public on sepsis recognition. Although this scoping review did not identify any studies that directly addressed our outcomes, it highlights the need for future research to better understand the recognition of sepsis in first-aid settings.

In recent years, there has been a significant improvement in the accuracy of the classification of pigmented skin lesions using artificial intelligence algorithms. Intelligent analysis and classification systems are significantly superior to visual diagnostic methods used by dermatologists and oncologists. However, the application of such systems in clinical practice is severely limited due to a lack of generalizability and risks of potential misclassification. Successful implementation of artificial intelligence-based tools into clinicopathological practice requires a comprehensive study of the effectiveness and performance of existing models, as well as further promising areas for potential research development. The purpose of this systematic review is to investigate and evaluate the accuracy of artificial intelligence technologies for detecting malignant forms of pigmented skin lesions. For the study, 10,589 scientific research and review articles were selected from electronic scientific publishers, of which 171 articles were included in the presented systematic review. All selected scientific articles are distributed according to the proposed neural network algorithms from machine learning to multimodal intelligent architectures and are described in the corresponding sections of the manuscript. This research aims to explore automated skin cancer recognition systems, from simple machine learning algorithms to multimodal ensemble systems based on advanced encoder-decoder models, visual transformers (ViT), and generative and spiking neural networks. In addition, as a result of the analysis, future directions of research, prospects, and potential for further development of automated neural network systems for classifying pigmented skin lesions are discussed.

UNASSIGNED: Sexual abuse is a health issue with many consequences. Recognizing and discussing past sexual abuse has proven to be challenging for health care professionals. To improve overall quality of health care for sexual abuse victims, health care professionals need to be properly trained. The aim of this paper is to provide an overview of training methods for health care professionals and to report on their effectiveness.
UNASSIGNED: A scoping review was conducted. A broad search was executed in six databases in December 2022. Study selection was performed by two independent reviewers, followed by quality assessment and data extraction.
UNASSIGNED: After screening of titles and abstracts and later full-text assessment for quality appraisal, seven articles were selected, consisting mostly of non-randomized trials, performed among a total of 1299 health care professionals. All studies were assessed to be of moderate to poor quality. The participants attended training courses with a wide variety of durations, settings, formats and methods. The outcomes showed improvements in self-perceived or measured knowledge, skills and confidence to discuss sexual violence. Changes in clinical practice were scarcely investigated. Training courses were most effective when a mix of didactic passive methods, such as lectures and videos, and active participatory strategies, such as discussions and roleplay, were applied. Timely iteration to reinforce retention of gained knowledge and skills also contributed to effectiveness. Participants most enjoyed incorporating opportunities for receiving feedback in small settings and sharing personal experiences.
UNASSIGNED: This scoping review summarizes on how to effectively train health care professionals. Flaws and difficulties in measuring the effectiveness of training courses were discussed. Recognition and discussion of past sexual abuse by health care providers can be effectively trained using an alternating mix of multiple active and passive training methods with room for feedback and personal experiences.

BACKGROUND: There is a mutual influence between emotions and diseases. Thus, the subject of emotions has gained increasing attention.
OBJECTIVE: The primary objective of this study was to conduct a comprehensive review of the developments in emotion recognition technology over the past decade. This review aimed to gain insights into the trends and real-world effects of emotion recognition technology by examining its practical applications in different settings, including hospitals and home environments.
METHODS: This study followed the Preferred Reporting Items for Systematic Reviews (PRISMA) guidelines and included a search of 4 electronic databases, namely, PubMed, Web of Science, Google Scholar and IEEE Xplore, to identify eligible studies published between 2013 and 2023. The quality of the studies was assessed using the Critical Appraisal Skills Programme (CASP) criteria. The key information from the studies, including the study populations, application scenarios, and technological methods employed, was summarized and analyzed.
RESULTS: In a systematic literature review of the 44 studies that we analyzed the development and impact of emotion recognition technology in the field of medicine from three distinct perspectives: \"application scenarios,\" \"techniques of multiple modalities,\" and \"clinical applications.\" The following three impacts were identified: (i) The advancement of emotion recognition technology has facilitated remote emotion recognition and treatment in hospital and home environments by healthcare professionals. (ii) There has been a shift from traditional subjective emotion assessment methods to multimodal emotion recognition methods that are grounded in objective physiological signals. This technological progress is expected to enhance the accuracy of medical diagnosis. (iii) The evolving relationship between emotions and disease throughout diagnosis, intervention, and treatment processes holds clinical significance for real-time emotion monitoring.
CONCLUSIONS: These findings indicate that the integration of emotion recognition technology with intelligent devices has led to the development of application systems and models, which provide technological support for the recognition of and interventions for emotions. However, the continuous recognition of emotional changes in dynamic or complex environments will be a focal point of future research.

Knowledge of medicinal plant species is necessary to preserve medicinal plants and safeguard biodiversity. The classification and identification of these plants by botanist experts are complex and time-consuming activities. This systematic review\'s main objective is to systematically assess the prior research efforts on the applications and usage of deep learning approaches in classifying and recognizing medicinal plant species. Our objective was to pinpoint systematic reviews following the PRISMA guidelines related to the classification and recognition of medicinal plant species through the utilization of deep learning techniques. This review encompassed studies published between January 2018 and December 2022. Initially, we identified 1644 studies through title, keyword, and abstract screening. After applying our eligibility criteria, we selected 31 studies for a thorough and critical review. The main findings of this reviews are (1) the selected studies were carried out in 16 different countries, and India leads in paper contributions with 29%, followed by Indonesia and Sri Lanka. (2) A private dataset has been used in 67.7% of the studies subjected to image augmentation and preprocessing techniques. (3) In 96.7% of the studies, researchers have employed plant leaf organs, with 74% of them utilizing leaf shapes for the classification and recognition of medicinal plant species. (4) Transfer learning with the pre-trained model was used in 83.8% of the studies as a future extraction technique. (5) Convolutional Neural Network (CNN) is used by 64.5% of the paper as a deep learning classifier. (6) The lack of a globally available and public dataset need for medicinal plants indigenous to a specific country and the trustworthiness of the deep learning approach for the classification and recognition of medicinal plants is an observable research gap in this literature review. Therefore, further investigations and collaboration between different stakeholders are required to fulfilling the aforementioned research gaps.

Electroencephalography (EEG) stands as a pioneering tool at the intersection of neuroscience and technology, offering unprecedented insights into human emotions. Through this comprehensive review, we explore the challenges and opportunities associated with EEG-based emotion recognition. While recent literature suggests promising high accuracy rates, these claims necessitate critical scrutiny for their authenticity and applicability. The article highlights the significant challenges in generalizing findings from a multitude of EEG devices and data sources, as well as the difficulties in data collection. Furthermore, the disparity between controlled laboratory settings and genuine emotional experiences presents a paradox within the paradigm of emotion research. We advocate for a balanced approach, emphasizing the importance of critical evaluation, methodological standardization, and acknowledging the dynamism of emotions for a more holistic understanding of the human emotional landscape.

OBJECTIVE: To investigate barriers to healthcare professionals recognizing and managing delirium in hospitalized older people.
METHODS: A mixed-methods systematic review.
UNASSIGNED: CRD42020187932.
METHODS: MEDLINE, EMBASE, PsycINFO and CINAHL were searched (2007 to February 2023).
METHODS: Included studies focused on healthcare professionals\' recognition and management of delirium for patients aged 65 years and over in a hospital ward or emergency department. Enhancing rigour, screening of results was conducted independently by two researchers. Qualitative and quantitative data were tabulated separately and grouped. Data were compared to identify similarities and differences. All studies were quality appraised.
RESULTS: 43 studies were included; 24 quantitative, 16 qualitative and three mixed-methods. Data synthesis highlighted synergy between qualitative and quantitative findings. Barriers were reflected in six themes: (1) healthcare professionals\' knowledge and understanding; (2) communication; (3) workforce development; (4) interprofessional working; (5) confounders; and (6) organizational constraints.
CONCLUSIONS: Of significance, for older adults in hospital experiencing delirium, there is variability in whether and how well it is recognized and managed. To prevent adverse outcomes best practice guidance for screening, recognizing, diagnosing and managing delirium in older people needs to be agreed and disseminated widely. Supporting healthcare professionals to care for this patient population using an integrated approach is essential, how to involve and communicate with patients and their family and friends, how to recognize and manage delirium for patients with additional needs, e.g., those living with dementia and/or a learning disability. Hospitals need to have policy and guidance in place for the recognition and management of delirium in older adults presenting to a ward or to an emergency department. An IT infrastructure is needed that integrates assessments and care management plans in patient electronic records and makes them accessible within and across teams in hospital, primary and community care settings.
UNASSIGNED: There was no patient or public contribution to this systematic review.
UNASSIGNED: Healthcare professionals can be better supported to be able to recognize and manage delirium during an acute hospital stay for older adults. This includes maximizing best care for those patients living with dementia, involving families and friends to help understand patients\' baseline status and changes and supporting families and friends during this process. Of significance, attention to hospital IT infrastructures is warranted, integrating screening, assessment and care management plans in patients\' electronic records and making these accessible to healthcare professionals caring for this patient population across care settings.
CONCLUSIONS: What problem did the study address? Delirium is a common condition experienced by older hospitalized patients, but it is consistently under-recognized which has implications for patient and organization outcomes. To help address this, understanding barriers to healthcare professionals recognizing and managing delirium for this patient population is paramount. What were the main findings? Barriers to healthcare professionals recognizing and managing delirium for this patient population were synthesized in six themes: (1) healthcare professionals\' knowledge and understanding, (2) communication; (3) workforce development; (4) interprofessional working; (5) confounders; and (6) organizational constraints. Where and on whom will the research have an impact? The findings of this original systematic review can contribute to hospital policy and protocol for the recognition and management of delirium in older patients. The findings can meaningfully contribute to workforce professional development for practitioners caring for older people during an acute hospital stay and for practitioners in primary and community settings involved in the follow-up of patients post hospital discharge. For researchers, the findings indicate several research recommendations including investigating the impact of an education programme for nurses and other healthcare professionals on the recognition and management of the condition and understanding and investigating how best to support delirium-related distress experienced by patients and their families and practitioners.
UNASSIGNED: This systematic review was reported in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (Page et al., 2021).

This article reports on a scoping review exploring understandings of family and domestic violence (FDV) against women with disability (WWD) within the literature and constitutes the second article in a two-part series, the first critiquing the categorization and measurement of FDV and disability. We report findings from qualitative studies included in the review, predominantly interpretivist and critical in orientation. The scoping review included 43 articles, 15 of which are included here, as they draw upon data directly from the perspectives of WWD. Reflexive thematic analysis was conducted, utilizing both inductive and deductive coding, and consultation between the authors. The analysis highlighted experiences of disability-based abuse, the nexus of ableism and sexism within the everyday, and meanings of justice and resilience for WWD. Disability-based abuse was perpetrated primarily by intimate partners, including financial and physical disability-based abuse, and was used to exploit and perpetuate situations of isolation. Sexist and ableist expectations, assumptions, and attitudes converged in everyday encounters within the community, with workers and systems. However, WWD reported strategies of resistance, healing, coping, and moving on in the aftermath of FDV and indicated what can be done to promote justice, both personally and within systems. The findings were discussed drawing on Axel Honneth\'s theory of recognition to highlight the mechanisms by which recognition and respect can be enhanced to enable full access to citizenship, in particular, for WWD to live free from violence.

BACKGROUND: Patient engagement in research refers to collaboration between researchers and patients (i.e., individuals with lived experience including informal caregivers) in developing or conducting research. Offering non-financial (e.g., co-authorship, gift) or financial (e.g., honoraria, salary) compensation to patient partners can demonstrate appreciation for patient partner time and effort. However, little is known about how patient partners are currently compensated for their engagement in research. We sought to assess the prevalence of reporting patient partner compensation, specific compensation practices (non-financial and financial) reported, and identify benefits, challenges, barriers and enablers to offering financial compensation.
METHODS: We conducted a systematic review of studies citing the Guidance for Reporting the Involvement of Patients and the Public (GRIPP I and II) reporting checklists (October 2021) within Web of Science and Scopus. Studies that engaged patients as research partners were eligible. Two independent reviewers screened full texts and extracted data from included studies using a standardized data abstraction form. Data pertaining to compensation methods (financial and non-financial) and reported barriers and enablers to financially compensating patient partners were extracted. No formal quality assessment was conducted since the aim of the review is to describe the scope of patient partner compensation. Quantitative data were presented descriptively, and qualitative data were thematically analysed.
RESULTS: The search identified 843 studies of which 316 studies were eligible. Of the 316 studies, 91% (n = 288) reported offering a type of compensation to patient partners. The most common method of non-financial compensation reported was informal acknowledgement on research outputs (65%, n = 206) and co-authorship (49%, n = 156). Seventy-nine studies (25%) reported offering financial compensation (i.e., honoraria, salary), 32 (10%) reported offering no financial compensation, and 205 (65%) studies did not report on financial compensation. Two key barriers were lack of funding to support compensation and absence of institutional policy or guidance. Two frequently reported enablers were considering financial compensation when developing the project budget and adequate project funding.
CONCLUSIONS: In a cohort of published studies reporting patient engagement in research, most offered non-financial methods of compensation to patient partners. Researchers may need guidance and support to overcome barriers to offering financial compensation.
The term patient engagement in research is used to describe research that is conducted “with” patients, rather than “on” patients. It is important that researchers recognize patient partners for their time and expertise. In order to gain a better understanding of approaches to recognition for patient partners we reviewed published studies to: (1) assess how often financial compensation is reported, (2) identify how patient partners are reported as being compensated, and (3) understand what benefits, challenges, barriers and enablers might exist to offering financial compensation. We conducted a systematic review of articles citing the Guidance for Reporting the Involvement of Patients and the Public (GRIPP) guidelines. We included all study designs if patients were engaged as partners. Studies in which patients were participants only were excluded. Data collected included information about details of patient partner compensation (financial and non-financial practices) as well as challenges relating to financial compensation. Numerical data were analysed descriptively. Textual data were coded by two reviewers and collated into overarching themes. Our search identified 316 papers. Of these, 91% reported offering compensation to patient partners. Most common methods were acknowledgement (65%) and co-authorship (49%). Only 79 studies (25%) reported offering financial compensation to patient partners. Limited funding and lack of institutional guidance were identified as two key barriers that may be preventing researchers from offering financial compensation. Our review found that non-financial methods of compensation are reported more often than financial compensation. Researchers may require more support when offering financial compensation to patient partners.

Early recognition of anaphylaxis is critical to early treatment and often occurs in the first aid setting. However, the ability of first aid providers to recognize anaphylaxis is unknown. We sought to examine the evidence regarding first aid providers\' ability to recognize anaphylaxis. Our scoping review was performed as part of the International Liaison Committee on Resuscitation (ILCOR) continuous evidence evaluation processes to update the 2020 ILCOR Consensus on Science with Treatment Recommendations. We searched Medline, Embase, Cochrane, and the gray literature from 2010 to September 2022. The population included adults and children experiencing anaphylaxis with a description of any specific symptom to a first aid provider. Recognition of anaphylaxis was the primary outcome. Two investigators (DM and PC) reviewed abstracts and extracted and assessed the data. Discrepancies between the reviewers were resolved by discussion and consensus with the ILCOR First Aid Task Force. Out of 957 hits, 17 studies met inclusion criteria: one review and meta-analysis, two experimental studies, and 14 observational studies. We did not identify any studies that directly addressed our PICOST (Population, Intervention, Control, Outcomes, Study Design, and Timeframe) as none were performed in the first aid setting. Articles included individuals who may be first aid providers as patients and parents (n=5), teachers, students or school staff (n=8), caregivers and patients (n= 2) or nannies (n=1). All included studies were conducted in high-income countries. Our scoping review found that signs and symptoms of anaphylaxis were not specific and did not allow for easy identification by the first aid provider. Studies focused on education (n=10) and protocols (n=2) and found that both could have a positive impact on anaphylaxis recognition and management. While we did not identify any clinical studies that directly addressed the ability of first aid providers to identify anaphylaxis, future studies examining education methods and action plans may help improve the identification of anaphylaxis by first aid providers.