First, Do No Harm (Gone Wrong): Total-Scale Analysis of Medical Errors Scientific Literature

Artificial intelligence in neuro-oncology: advances and challenges in brain tumor diagnosis, prognosis, and precision treatment

This review delves into the most recent advancements in applying artificial intelligence (AI) within neuro-oncology, specifically emphasizing work on gliomas, a class of brain tumors that represent a significant global health issue. AI has brought transformative innovations to brain tumor management, utilizing imaging, histopathological, and genomic tools for efficient detection, categorization, outcome prediction, and treatment planning. Assessing its influence across all facets of malignant brain tumor management- diagnosis, prognosis, and therapy- AI models outperform human evaluations in terms of accuracy and specificity. Their ability to discern molecular aspects from imaging may reduce reliance on invasive diagnostics and may accelerate the time to molecular diagnoses. The review covers AI techniques, from classical machine learning to deep learning, highlighting current applications and challenges. Promising directions for future research include multimodal data integration, generative AI, large medical language models, precise tumor delineation and characterization, and addressing racial and gender disparities. Adaptive personalized treatment strategies are also emphasized for optimizing clinical outcomes. Ethical, legal, and social implications are discussed, advocating for transparency and fairness in AI integration for neuro-oncology and providing a holistic understanding of its transformative impact on patient care.

Scientific View of the Global Literature on Medical Error Reporting and Reporting Systems From 1977 to 2021: A Bibliometric Analysis

BACKGROUND

Error reporting is vital for the prevention of medical errors. Despite the importance of error reporting, underreporting of medical errors is a common reality in many countries. Therefore, barriers to error reporting and reporting systems are a constantly evolving field of research. For this reason, studies on medical error reporting and reporting systems should be evaluated multidimensionally.

AIM

The aim of this study is to evaluate the global research on medical error reporting and reporting systems through bibliometric analysis to obtain a structured macroscopic overview of the features and developments.

METHODS

A bibliometric analysis of 1464 publications from 1970 to 2021 was performed to map the literature of medical error reporting and assess the structure of the scientific community.

RESULTS

After 2000, the number of publications increased annually until a maximum of 2020 was reached. The International Journal for Quality in Health Care and the Journal of Patient Safety have been the most productive journals when it comes to publishing on the subject. Trend topics of keyword plus have changed over time. The United States (1399), England (580), and Australia (478) are the 3 nations with the highest number of publications. On the other hand, it is seen that the subject has yet to be discussed in a few developing or underdeveloped countries.

CONCLUSIONS

This bibliometric analysis shows that the number of publications and authors and cross-country cooperation are low regarding error reporting. The low number of publications and the lack of cooperation, especially in developing countries, reveal the importance of global cooperation.

Patient Safety and Legal Regulations: A Total-Scale Analysis of the Scientific Literature

OBJECTIVE

The aim of the study was to quantitatively analyze the scientific literature landscape covering legal regulations of patient safety.

METHODS

This retrospective bibliometric analysis queried Web of Science database to identify relevant publications. The identified scientific literature was quantitatively evaluated to reveal prevailing study themes, contributing journals, countries, institutions, and authors, as well as citation patterns.

RESULTS

The identified 1295 publications had a mean of 13.8 citations per publication and an h-index of 57. Approximately 78.8% of them were published since 2010, with the United States being the top contributor and having the greatest publication growth. A total of 79.2% (n = 1025) of the publications were original articles, and 12.5% (n = 162) were reviews. The top authors (by number of publications published on the topic) were based in the United States and Spain and formed 3 collaboration clusters. The top institutions by number of published articles were mainly based in the United States and United Kingdom, with Harvard University being on top. Internal medicine, surgery, and nursing were the most recurring clinical disciplines. Among 4 distinct approaches to improve patient safety, reforms of the liability system (n = 91) were most frequently covered, followed by new forms of regulation (n = 73), increasing transparency (n = 67), and financial incentives (n = 38).

CONCLUSIONS

Approximately 78.8% of the publications on patient safety and its legal implications were published since 2010, and the United States was the top contributor. Approximately 79.2% of the publications were original articles, whereas 12.5% were reviews. Healthcare sciences services was the most recurring journal category, with internal medicine, surgery, and nursing being the most recurring clinical disciplines. Key relevant laws around the globe were identified from the literature set, with some examples highlighted from the United States, Germany, Italy, France, Sweden, Poland, and Indonesia. Our findings highlight the evolving nature and the diversity of legislative regulations at international scale and underline the importance of healthcare workers to be aware of the development and latest advancement in this field and to understand that different requirements are established in different jurisdictions so as to safeguard the necessary standards of patient safety.

Perceptions of Nurses Who Are Second Victims in a Hospital Setting

BACKGROUND

Second victims (SVs) are health care workers traumatized by unanticipated, adverse patient events. These experiences can have personal and professional effects on SVs. Research indicates that SVs experience inadequate support following adverse events.

PURPOSE

To determine the prevalence of nurses who identified as SVs and their awareness and use of supportive resources.

METHODS

A convenience sample of nurses was surveyed, and SV responses were compared with those who did not identify as a SV. Responses were analyzed using nonparametric methods.

RESULTS

One hundred fifty-nine (44.3%) of 359 participants identified as SVs. There was a significant relationship between work tenure and SVs (P = .009). A relationship was found between SVs and awareness and use of support resources, with debriefing being the preferred method after an event.

CONCLUSIONS

Adverse events trigger emotional trauma in SVs who require administrative awareness, support, and follow-up to minimize psychological trauma in the clinical nurse.

Digital Teaching in Medical Education: Scientific Literature Landscape Review

BACKGROUND

Digital teaching in medical education has grown in popularity in the recent years. However, to the best of our knowledge, no bibliometric report to date has been published that analyzes this important literature set to reveal prevailing topics and trends and their impacts reflected in citation counts.

OBJECTIVE

We used a bibliometric approach to unveil and evaluate the scientific literature on digital teaching research in medical education, demonstrating recurring research topics, productive authors, research organizations, countries, and journals. We further aimed to discuss some of the topics and findings reported by specific highly cited works.

METHODS

The Web of Science electronic database was searched to identify relevant papers on digital teaching research in medical education. Basic bibliographic data were obtained by the "Analyze" and "Create Citation Report" functions of the database. Complete bibliographic data were exported to VOSviewer for further analyses. Visualization maps were generated to display the recurring author keywords and terms mentioned in the titles and abstracts of the publications.

RESULTS

The analysis was based on data from 3978 papers that were identified. The literature received worldwide contributions with the most productive countries being the United States and United Kingdom. Reviews were significantly more cited, but the citations between open access vs non-open access papers did not significantly differ. Some themes were cited more often, reflected by terms such as virtual reality, innovation, trial, effectiveness, and anatomy. Different aspects in medical education were experimented for digital teaching, such as gross anatomy education, histology, complementary medicine, medicinal chemistry, and basic life support. Some studies have shown that digital teaching could increase learning satisfaction, knowledge gain, and even cost-effectiveness. More studies were conducted on trainees than on undergraduate students.

CONCLUSIONS

Digital teaching in medical education is expected to flourish in the future, especially during this era of COVID-19 pandemic.

Analysis of Surgical Mortalities Using the Fishbone Model for Quality Improvement in Surgical Disciplines

BACKGROUND

The healthcare industry is complex and prone to the occurrence of preventable patient safety incidents. Most serious patient safety events in surgery are preventable.

AIM

This study was conducted to determine the rate of occurrence of preventable mortalities and to use the fishbone model to establish the main contributing factors.

METHODS

We reviewed the records of patients who died following admission to the surgical wards. Data regarding their demography, diagnosis, acuity, comorbidities, categorization of death and contributing factors were extracted from the Research Electronic Data Capture (REDCap) database. Factors which contributed to preventable and potentially preventable mortalities were collated. The fishbone model was used for root cause analysis. The study received prior ethical clearance (M190122).

RESULTS

Records of 859 mortalities were found, of which 65.7% (564/859) were males. The median age of the patients who died was 49 years (IQR: 33-64 years). The median length of hospital stay before death was three days (IQR: 1-11 days). Twenty-four percent (24.1%) of the deaths were from gastrointestinal (GIT) emergencies, 18.4% followed head injury and 17.0% from GIT cancers. Overall, 5.4% of the mortalities were preventable, and 41.1% were considered potentially preventable. The error of judgment and training issues accounted for 46% of mortalities.

CONCLUSION

Most surgical mortalities involve males, and around 46% are either potentially preventable or preventable. The majority of the mortality were associated with GIT emergencies, head injury and advanced malignancies of the GIT. The leading contributing factors to preventable and potentially preventable mortalities were the error of judgment, inadequate training and shortage of resources.

Medical and Health-related Misinformation on Social Media: Analysis of the Scientific Literature

Background

Social media has been extensively used for the communication of health-related information and consecutively for the potential spread of medical misinformation. Conventional systematic reviews have been published on this topic to identify original articles and to summarize their methodological approaches and themes. A bibliometric study could complement their findings, for instance, by evaluating the geographical distribution of the publications and determining if they were well cited and disseminated in high-impact journals.

Objective

The aim of this study was to perform a bibliometric analysis of the current literature to discover the prevalent trends and topics related to medical misinformation on social media.

Methods

The Web of Science Core Collection electronic database was accessed to identify relevant papers with the following search string: ALL=(misinformati* OR “wrong informati*” OR disinformati* OR “misleading informati*” OR “fake news*”) AND ALL=(medic* OR illness* OR disease* OR health* OR pharma* OR drug* OR therap*) AND ALL=(“social media*” OR Facebook* OR Twitter* OR Instagram* OR YouTube* OR Weibo* OR Whatsapp* OR Reddit* OR TikTok* OR WeChat*). Full records were exported to a bibliometric software, VOSviewer, to link bibliographic information with citation data. Term and keyword maps were created to illustrate recurring terms and keywords.

Results

Based on an analysis of 529 papers on medical and health-related misinformation on social media, we found that the most popularly investigated social media platforms were Twitter (n=90), YouTube (n=67), and Facebook (n=57). Articles targeting these 3 platforms had higher citations per paper (>13.7) than articles covering other social media platforms (Instagram, Weibo, WhatsApp, Reddit, and WeChat; citations per paper <8.7). Moreover, social media platform–specific papers accounted for 44.1% (233/529) of all identified publications. Investigations on these platforms had different foci. Twitter-based research explored cyberchondria and hypochondriasis, YouTube-based research explored tobacco smoking, and Facebook-based research studied vaccine hesitancy related to autism. COVID-19 was a common topic investigated across all platforms. Overall, the United States contributed to half of all identified papers, and 80% of the top 10 most productive institutions were based in this country. The identified papers were mostly published in journals of the categories public environmental and occupational health, communication, health care sciences services, medical informatics, and medicine general internal, with the top journal being the Journal of Medical Internet Research.

Conclusions

There is a significant platform-specific topic preference for social media investigations on medical misinformation. With a large population of internet users from China, it may be reasonably expected that Weibo, WeChat, and TikTok (and its Chinese version Douyin) would be more investigated in future studies. Currently, these platforms present research gaps that leave their usage and information dissemination warranting further evaluation. Future studies should also include social platforms targeting non-English users to provide a wider global perspective.