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Background The proliferation of “accessible information” for people with intellectual disabilities in UK health care has accelerated in recent years, underpinned by policy guidance alongside the recent introduction of mandatory standards. However, questions have been raised as to the impact of such resources as a means of enhancing involvement in health care and addressing health inequalities. Objective To review and synthesize the evidence from different approaches used to evaluate the impact of accessible information for people with intellectual disabilities using a meta‐narrative approach. Search strategy Literature searches were iterative and incorporated formal databases, grey literature and hand searches alongside more intuitive and opportunistic methods. Inclusion criteria Included English language papers published before December 2015 described the design and evaluation of written information adapted for adults with intellectual disabilities. Data extraction and synthesis We organized the papers into five groups according to similarity in authors’ writing styles and presentation, epistemology and theoretical foundations, aims and methodologies, professional and organizational identities. Main results The 42 included papers in the five groupings occupied diverse positions on (i) public communication vs individualized materials, (ii) literacy as decontextualized skills vs social practices and (iii) the expertise of patients vs professionals. There was limited evidence for the impact of accessible health information, notwithstanding the potential benefits associated with their creation. Conclusions Individually tailored information is more likely to meet personalized health information needs for people with intellectual disabilities. The emergence of different social formations in the creation of accessible information has potential for advancing engagement of diverse groups.

Acute exacerbations of chronic obstructive pulmonary disease (AECOPD) are associated with high mortality, morbidity, and poor quality of life and constitute a substantial burden to patients and health care systems. New approaches to prevent or reduce the severity of AECOPD are urgently needed. Internationally, this has prompted increased interest in the potential of remote patient monitoring (RPM) and digital medicine. RPM refers to the direct transmission of patient-reported outcomes, physiological, and functional data, including heart rate, weight, blood pressure, oxygen saturation, physical activity, and lung function (spirometry), directly to health care professionals through automation, web-based data entry, or phone-based data entry. Machine learning has the potential to enhance RPM in chronic obstructive pulmonary disease by increasing the accuracy and precision of AECOPD prediction systems. This study aimed to conduct a dual systematic review. The first review focuses on randomized controlled trials where RPM was used as an intervention to treat or improve AECOPD. The second review examines studies that combined machine learning with RPM to predict AECOPD. We review the evidence and concepts behind RPM and machine learning and discuss the strengths, limitations, and clinical use of available systems. We have generated a list of recommendations needed to deliver patient and health care system benefits. A comprehensive search strategy, encompassing the Scopus and Web of Science databases, was used to identify relevant studies. A total of 2 independent reviewers (HMGG and CM) conducted study selection, data extraction, and quality assessment, with discrepancies resolved through consensus. Data synthesis involved evidence assessment using a Critical Appraisal Skills Programme checklist and a narrative synthesis. Reporting followed PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. These narrative syntheses suggest that 57% (16/28) of the randomized controlled trials for RPM interventions fail to achieve the required level of evidence for better outcomes in AECOPD. However, the integration of machine learning into RPM demonstrates promise for increasing the predictive accuracy of AECOPD and, therefore, early intervention. This review suggests a transition toward the integration of machine learning into RPM for predicting AECOPD. We discuss particular RPM indices that have the potential to improve AECOPD prediction and highlight research gaps concerning patient factors and the maintained adoption of RPM. Furthermore, we emphasize the importance of a more comprehensive examination of patient and health care burdens associated with RPM, along with the development of practical solutions.

Background and Aims Pharmacists have been recognized as one of the most qualified healthcare professionals in the clinical implementation of pharmacogenomics, yet its widespread implementation in clinical pharmacy practice has remained limited. The review aims to systematically investigate knowledge, perceptions, and attitudes toward pharmacogenomics among pharmacists and pharmacy students to inform the future delivery of pharmacogenomics education programs. Methods PubMed, MEDLINE, Embase, Scopus, and the International Pharmaceutical s were searched up to May 17, 2022. Studies were selected if they included data on pharmacists' or pharmacy students' knowledge, perception, or attitude about pharmacogenomics and were published in a peer‐reviewed, English‐language journal with full‐text availability. Any published study not deemed original research was excluded. All included studies were critically appraised using the Center for Evidence‐Based Management's critical appraisal tools. The data were descriptively analyzed and presented based on pharmacists' and pharmacy students' knowledge/awareness, perception/attitudes toward pharmacogenomic (PGx), confidence in using or interpreting PGx testing results, and their desire to get further PGx education or their most preferred method of further education. Results A combined total of 12,430 pharmacists and pharmacy students from 26 countries are represented in the 52 included studies. Despite overwhelmingly positive attitudes and perceptions toward pharmacogenomics among pharmacists and pharmacy students, an overall lack of adequate knowledge and confidence was found. The review also found a strong desire for further pharmacogenomics education among pharmacists and pharmacy students. Conclusion Pharmacists and pharmacy students have positive perceptions and attitudes toward pharmacogenomics, which is hindered by a lack of knowledge and confidence. However, inadequate control for confounders, limited representativeness of the studied population or region, and small sample sizes diminish the generalizability of the review results. Knowledge and confidence could be improved through enhanced delivery of pharmacogenomic courses within the pharmacy curriculum and continuing education programs.

The skin is an important organ of the human body and has moisturizing and barrier functions. Factors such as sunlight and lifestyle significantly affect these skin functions, with sunlight being extremely damaging. The effects of lifestyle habits such as smoking, diet, and sleep have been studied extensively. It has been found that smoking increases the risk of wrinkles, while excessive fat and sugar intake leads to skin aging. Lack of sleep and stress are also dangerous for the skin's barrier function. In recent years, the impact of exercise habits on skin function has been a focus of study. Regular exercise is associated with increased blood flow to the skin, elevated skin temperature, and improved skin moisture. Furthermore, it has been shown to improve skin structure and rejuvenate its appearance, possibly through promoting mitochondrial biosynthesis and affecting hormone secretion. Further research is needed to understand the effects of different amounts and content of exercise on the skin. This study aims to briefly summarize the relationship between lifestyle and skin function and the mechanisms that have been elucidated so far and introduce the expected effects of exercise on skin function. We conducted a review of the literature using PubMed and Google Scholar repositories for relevant literature published between 2000 and 2022 with the following keywords: exercise, skin, and life habits. Exercise augments the total spectrum power density of cutaneous blood perfusion by a factor of approximately 8, and vasodilation demonstrates an enhancement of approximately 1.5-fold. Regular exercise can also mitigate age-related skin changes by promoting mitochondrial biosynthesis. However, not all exercise impacts are positive; for instance, swimming in chlorinated pools may harm the skin barrier function. Hence, the exercise environment should be considered for its potential effects on the skin. This review demonstrates that exercise can potentially enhance skin function retention.

Background and Aim It is essential that healthcare providers display ethical behavior toward their patients. Despite development of codes of ethics for clinical practice, the occurrence of unethical behaviors toward patients is alarmingly high. The present study was conducted to identify the barriers to ethical treatment of patients in clinical environments. Methods Through systematic narrative review, the present study investigated the barriers to ethical treatment of patients. This study was carried out in line with Assessment of Multiple Systematic Reviews 2 and Preferred Reporting Items of Systematic reviews and Meta‐Analyses guidelines. Results Ethical challenges in clinical environments can be classified into two categories: “organizational factors” and “personal factors.” Organizational factors consist of three domains: managers and regulations, organizational environment, and human resources. Personal factors consist of two domains: factors related to patients and their families and factors related to care providers. Conclusion Research shows that encouraging healthcare teams to adopt ethical behaviors through education and having them persistently observe ethics in their clinical practice will not completely bridge the gap between theory and practice: it seems that the clinical environment, the personal characteristics of healthcare team members and patients, and the organizational values of the healthcare system pose the greatest barrier to bridging this gap. Accordingly, in addition to raising healthcare providers’ awareness of the existing issues in clinical ethics, measures should be taken to improve organizational culture and atmosphere.

Background and Aims This systematic review aimed to evaluating the effectiveness of machine learning (ML) algorithms for the prediction and diagnosis of meningitis. Methods On November 12, 2022, a systematic review was carried out using a keyword search in the reliable scientific databases PubMed, EMBASE, Scopus, and Web of Science. The recommendations of Preferred Reporting for Systematic Reviews and Meta‐Analyses (PRISMA) were adhered to. Studies conducted in English that employed ML to predict and identify meningitis were deemed to match the inclusion criteria. The eligibility requirements were used to independently review the titles and s. The whole text was then obtained and independently reviewed in accordance with the eligibility requirements. Results After all the research matched the inclusion criteria, a total of 16 studies were added to the systematic review. Studies on the application of ML algorithms in the three categories of disease diagnosis ability (8.16) and disease prediction ability (8.16) (including cases related to identifying patients (50%), risk of death in patients (25%), the consequences of the disease in childhood (12.5%), and its etiology [12.5%]) were placed. Among the ML algorithms used in this study, logistic regression (LR) (4.16, 25%) and multiple logistic regression (MLR) (4.16, 25%) were the most used. All the included studies indicated improvements in the processes of diagnosis, prediction, and disease outbreak with the help of ML algorithms. Conclusion The results of the study showed that in all included studies, ML algorithms were an effective approach to facilitate diagnosis, predict consequences for risk classification, and improve resource utilization by predicting the volume of patients or services as well as discovering risk factors. The role of ML algorithms in improving disease diagnosis was more significant than disease prediction and prevalence. Meanwhile, the use of combined methods can optimize differential diagnoses and facilitate the decision‐making process for healthcare providers.

Background and Aims The advent of 3D printing has revolutionized plastic surgery and prosthetic devices, providing personalized solutions for patients with traumatic injuries, deformities, and appearance‐related conditions. This review offers a comprehensive overview of 3D printing's applications, advantages, limitations, and future prospects in these fields. Methods A literature search was conducted in PubMed, Google Scholar, and Scopus for studies on 3D printing in plastic surgery. Results 3D printing has significantly contributed to personalized medical interventions, with benefits like enhanced design flexibility, reduced production time, and improved patient outcomes. Using computer‐aided design (CAD) software, precise models tailored to a patient's anatomy can be created, ensuring better fit, functionality, and comfort. 3D printing allows for intricate geometries, leading to improved aesthetic outcomes and patient‐specific prosthetic limbs and orthoses. The historical development of 3D printing, key milestones, and breakthroughs are highlighted. Recent progress in bioprinting and tissue engineering shows promising applications in regenerative medicine and transplantation. The integration of AI and automation with 3D printing enhances surgical planning and outcomes. Emerging trends in patient‐specific treatment planning and precision medicine are potential game‐changers. However, challenges like technical considerations, economic implications, and ethical issues exist. Addressing these challenges and advancing research in materials, design processes, and long‐term outcomes are crucial for widespread adoption. Conclusion The review underscores the increasing adoption of 3D printing in healthcare and its impact on plastic surgery and prosthetic devices. It emphasizes the importance of evaluating the current state and addressing knowledge gaps through future research to foster further advancements

Chronic rheumatic diseases entail the use of biologics in children. Immunosuppressive effects of drug therapy put children at risk of various infections including tuberculosis (TB). Even though TB is a major concern among individuals on biological DMARDs, the incidence and distribution among children on these drugs is not known. Hence, we performed a literature search to ascertain the prevalence of tuberculosis amongst children with rheumatic disorders treated with biological agents. Articles available on MEDLINE and SCOPUS published on or after January 1, 2010 to 1 October 2019 were reviewed and collated. We found that published data on TB infections in children with rheumatic disorders on biologics is scant even from regions with highest TB burden. Tuberculosis was reported on occasion (0-5 cases per country) in the developed world with most reports being from Turkey. While most of the retrospective studies suggest that TB risk is minimal in the paediatric rheumatology patients, prospective studies suffer from a short observation period. Most registries focus on response to therapy rather than complications. In this review we have then discussed about the variation in screening strategies for latent TB and the role of bacille Calmette-Guerin (BCG) vaccination. Based on the dearth of data and inconsistency in data collection, we propose a way forward in the form of establishing well-designed long-term prospective national registries from countries with high background prevalence of TB with focus not only on treatment efficacy but also on adverse events and infections.

Background and Aim Cholera is a life‐threatening infectious disease that is still one of the most common acute watery diarrheal diseases in the world today. Acute diarrhea and severe dehydration brought on by cholera can cause hypovolemic shock, which can be fatal in minutes. Without competent clinical therapy, the rate of case fatality surpasses 50%. The purpose of this review was to highlight cholera challenges in Africa and the Middle East and explain the reasons for why this region is currently a fertile environment for cholera. We investigated cholera serology, epidemiology, and the geographical distribution of cholera in Africa and the Middle East in 2022 and 2023. We reviewed detection methods, such as rapid diagnostic tests (RDTs), and treatments, such as antibiotics and phage therapy. Finally, this review explored oral cholera vaccines (OCVs), and the vaccine shortage crisis. Methods We carried out a systematic search in multiple databases, including PubMed, Web of Science, Google Scholar, Scopus, MEDLINE, and Embase, for studies on cholera using the following keywords: ((Cholera) OR (Vibrio cholera) and (Coronavirus) OR (COVID‐19) OR (SARS‐CoV2) OR (The Middle East) OR (Africa)). Results and Conclusions Cholera outbreaks have increased dramatically, mainly in Africa and many Middle Eastern countries. The COVID‐19 pandemic has reduced the attention devoted to cholera and disrupted diagnosis and treatment services, as well as vaccination initiatives. Most of the cholera cases in Africa and the Middle East were reported in Malawi and Syria, respectively, in 2022. RDTs are effective in the early detection of cholera epidemics, especially with limited advanced resources, which is the case in much of Africa. By offering both direct and indirect protection, expanding the use of OCV will significantly reduce the burden of current cholera outbreaks in Africa and the Middle East.

Background and Aims Patients with burning mouth syndrome (BMS) experience an annoying feeling without clinical evidence of any mucosal lesion. Deficiency or excess of micronutrients is a common feature in secondary BMS. There is limited knowledge among oral healthcare providers regarding the significance of micronutrients in oral health, so the current review focuses on the critical role of these elements in oral health implications as secondary BMS. Methods For the data collection, the authors searched for key terms without time limitation (1900–2021) in databases comprised of PubMed, Google Scholar, Scopus, Web of Science (SCI), and Embase. Results The total number of matched articles with inclusion criteria involved in this review article was 59 original articles. Among these, 20 randomized clinical trials (RCT), 31 case‐control or Crossectional, and 8 case reports/series are reviewed in this review article. Conclusion One of the important etiological factors in patients with secondary BMS is micronutrient imbalance. The iron, zinc, vitamin B family, vitamin D deficiency and increased levels of homocysteine and oxidant agents were examined in secondary BMS patients. In addition, oral medicine specialists must consider the possible toxic effects of some elements in restorations and dental prostheses. Further studies, such as RCTs in the future, are recommended.