Quality of life after emergency laparotomy: a systematic review.

BACKGROUND: Emergency laparotomy is a commonly performed surgical procedure that has higher post-operative morbidity and mortality than elective surgery. Previous research has identified that patients valued postoperative quality of life (QoL) more than the risk of mortality when deciding to undergo emergency surgery. Current pre-operative scoring and risk stratification systems for emergency laparotomy do not account for or provide prediction tools for post-operative QoL. This study aims to systematically review previous literature to determine post-operative QoL in patients who undergo emergency laparotomy. METHODS: A literature search was undertaken in Medline, EMBASE and the Cochrane Library to identify studies measuring post-operative QoL in patients who have had emergency laparotomy up to 29th April 2023. Mean QoL scores from the studies included were combined to calculate the average effect of emergency laparotomy on QoL. The primary outcome of the review was postoperative QoL after emergency laparotomy when compared with a comparator group. Secondary outcomes included the quality of included studies. RESULTS: Ten studies in the literature assessing the QoL of patients after emergency laparotomy were identified. Three studies showed that patients had improved QoL and seven showed worse QoL following emergency laparotomy. Length of time for QoL to return to baseline varied ranged from 3 to 12 months post-operatively. Length of hospital stay was identified as an independent risk factor for poorer QoL post-surgery. CONCLUSIONS: Outcome reporting for patients who undergo emergency laparotomy should be expanded further to include QoL. Further work is required to investigate this and elicit factors that can improve QoL post-operatively.

Which Electronic Health Record System Should We Use? A Systematic Review.

The UK government had intended to introduce a comprehensive Electronic Health Record (EHR) system in England by 2020. These EHRs would run across primary, secondary, and social care, linking data in a single digital platform. The objectives of this systematic review were to identify studies that compare EHR in terms of direct comparison between systems and to evaluate them using System and Software Quality Requirements and Evaluation (SQuaRE) ISO/IEC 25010. A systematic review was performed by searching Embase and Ovid MEDLINE databases between 1974 and April 2021. All original studies that appraised EHR systems and their providers were included. The main outcome measures were EHR system comparison and the eight characteristics of SQuaRE: functional suitability, performance efficiency, compatibility, usability, reliability, security, maintainability, and portability. A total of 724 studies were identified using the search criteria. After a review of titles and abstracts, this was filtered down to 40 studies as per the exclusion and inclusion criteria set out in our study. Seven studies compared more than one EHR. The following number of studies looked at the various aspects of the SQuaRE, respectively - 19 studies: functional suitability, performance efficiency: 18 studies, compatibility: 12 studies, usability: 25 studies, reliability: 6 studies, security: 2 studies, maintainability: 16 studies, portability: 13 studies. Epic was the most studied EHR system and one of the most implemented systems in the US market and one of the top ten in the UK. It is difficult to assess which is the most advantageous EHR system when they are assessed by SQuaRE's 8 characteristics for software evaluation.

Surgical Innovation in the Era of Global Surgery: A Network Analysis.

OBJECTIVE: To present a novel network-based framework for the study of collaboration in surgery and demonstrate how this can be used in practice to help build and nurture collaborations that foster innovation. BACKGROUND: Surgical innovation is a social process that originates from complex interactions among diverse participants. This has led to the emergence of numerous surgical collaboration networks. What is still needed is a rigorous investigation of these networks and of the relative benefits of various collaboration structures for research and innovation. METHODS: Network analysis of the real-world innovation network in robotic surgery. Hierarchical mixed-effect models were estimated to assess associations between network measures, research impact and innovation, controlling for the geographical diversity of collaborators, institutional categories, and whether collaborators belonged to industry or academia. RESULTS: The network comprised of 1700 organizations and 6000 links. The ability to reach many others along few steps in the network (closeness centrality), forging a geographically diverse international profile (network entropy), and collaboration with industry were all shown to be positively associated with research impact and innovation. Closed structures (clustering coefficient), in which collaborators also collaborate with each other, were found to have a negative association with innovation (P < 0.05 for all associations). CONCLUSIONS: In the era of global surgery and increasing complexity of surgical innovation, this study highlights the importance of establishing open networks spanning geographical boundaries. Network analysis offers a valuable framework for assisting surgeons in their efforts to forge and sustain collaborations with the highest potential of maximizing innovation and patient care.

Mentoring perception and academic performance: an Academic Health Science Centre survey.

PURPOSE: To determine the association between professors' self-perception of mentoring skills and their academic performance. DESIGN: Two hundred and fifteen professors from Imperial College London, the first Academic Health Science Centre (AHSC) in the UK, were surveyed. The instrument adopted was the Mentorship Skills Self-Assessment Survey. Statement scores were aggregated to provide a score for each shared core, mentor-specific and mentee-specific skill. Univariate and multivariate regression analyses were used to evaluate their relationship with quantitative measures of academic performance (publications, citations and h-index). RESULTS: There were 104 professors that responded (response rate 48%). There were no statistically significant negative correlations between any mentoring statement and any performance measure. In contrast, several mentoring survey items were positively correlated with academic performance. The total survey score for frequency of application of mentoring skills had a statistically significant positive association with number of publications (B=0.012, SE=0.004, p=0.006), as did the frequency of acquiring mentors with number of citations (B=1.572, SE=0.702, p=0.030). Building trust and managing risks had a statistically significant positive association with h-index (B=0.941, SE=0.460, p=0.047 and B=0.613, SE=0.287, p=0.038, respectively). CONCLUSIONS: This study supports the view that mentoring is associated with high academic performance. Importantly, it suggests that frequent use of mentoring skills and quality of mentoring have positive effects on academic performance. Formal mentoring programmes should be considered a fundamental part of all AHSCs' configuration.

Leadership behaviours and healthcare research performance: prospective correlational study.

OBJECTIVES: The aims of the study were to determine whether differences in leadership self-perception/behaviour in healthcare researchers may influence research performance and to evaluate whether certain leadership characteristics are associated with enhanced leadership efficiency in terms of motivation, effectiveness and satisfaction. DESIGN AND PARTICIPANTS: All Faculty of Medicine Professors at Imperial College London (n=215) were sent the Multifactor Leadership Questionnaire (MLQ) Self form as a means of evaluating self-perception of leadership behaviours. MAIN OUTCOME MEASURES: For each professor, we extracted objective research performance measures (total number of publications, total number of citations and h index) from 1 January 2007 to 31 December 2009. The MLQ measured three leadership outcomes, which included motivation, effectiveness and satisfaction. Regression analysis was used to determine associations. RESULTS: A total number of 90 responses were received, which equated to a 42% response rate. There were no significant correlations between transformational, transactional or passive/avoidant leadership behaviours and any of the research performance measures. The five transformational leadership behaviours (ie, idealised attributes (IA), idealised behaviours (IB), inspirational motivation (IM), intellectual stimulation (IS), individual consideration (IC)) were highly significant predictors of leadership outcomes, extra effort (all B>0.404, SE=0.093-0.146, p<0.001), effectiveness (IA, IM, IS, IC B>0.359, SE=0.093-0.146, p<0.001; IB B=0.233, SE=0.103, p=0.026) and satisfaction (IA, IM, IS, IC B>0.483, SE=0.086-0.139, p<0.001; IB B=0.296, SE=0.101, p=0.004). Similarly, contingent reward was a significant predictor of extra effort (B=0.400, SE=0.123, p=0.002), effectiveness (B=0.353, SE=0.113, p=0.002) and satisfaction (B=0.326, SE=0.114, p=0.005). CONCLUSIONS: This study demonstrates that transformational leadership and contingent reward positively influence leadership efficiency in healthcare researchers. Although we did not show an association between leadership behaviours and research performance metrics, further studies using contextual performance measures at team and organisational levels are required.

Mentoring perception, scientific collaboration and research performance: is there a 'gender gap' in academic medicine? An Academic Health Science Centre perspective.

OBJECTIVES: The 'gender gap' in academic medicine remains significant and predominantly favours males. This study investigates gender disparities in research performance in an Academic Health Science Centre, while considering factors such as mentoring and scientific collaboration. MATERIALS AND METHODS: Professorial registry-based electronic survey (n=215) using bibliometric data, a mentoring perception survey and social network analysis. Survey outcomes were aggregated with measures of research performance (publications, citations and h-index) and measures of scientific collaboration (authorship position, centrality and social capital). Univariate and multivariate regression models were constructed to evaluate inter-relationships and identify gender differences. RESULTS: One hundred and four professors responded (48% response rate). Males had a significantly higher number of previous publications than females (mean 131.07 (111.13) vs 79.60 (66.52), p=0.049). The distribution of mentoring survey scores between males and females was similar for the quality and frequency of shared core, mentor-specific and mentee-specific skills. In multivariate analysis including gender as a variable, the quality of managing the relationship, frequency of providing corrective feedback and frequency of building trust had a statistically significant positive influence on number of publications (all p<0.05). CONCLUSIONS: This is the first study in healthcare research to investigate the relationship between mentoring perception, scientific collaboration and research performance in the context of gender. It presents a series of initiatives that proved effective in marginalising the gender gap. These include the Athena Scientific Women's Academic Network charter, new recruitment and advertisement strategies, setting up a 'Research and Family Life' forum, establishing mentoring circles for women and projecting female role models.

What factors influence British medical students' career intentions?

AIM: The aim of this study was to identify factors that influence career choice in UK medical students. METHODS: Students at seven institutions were invited to rate how important various factors were on influencing their career choices and how interested they were in pursuing different specialties. The influence of interpersonal relationship networks on career choice was also evaluated. RESULTS: 641 responses were collected. 44% (283) were male, 16% (105) were graduates and 41% (263) were final-year students. For Dermatology (p = 0.009), Paediatrics (p = 0.000), Radiology (p = 0.000), Emergency Medicine (p = 0.018) and Cardiothoracic Surgery (p = 0.000), there was a clear correlation between completing a clinical attachment and an interest in pursuing the specialty. Perceived characteristics of the speciality, individually and in clusters were considered important by specific subgroups of students, such as those interested in surgery. These students considered prestige (p = 0.0003), role models (p = 0.014), financial rewards after training (p = 0.0196) and technical challenge (p = 0.0011) as important factors. Demographics such as sex and age played a significant role in career choice. Interpersonal relationship networks do not have a significant influence on career intentions. CONCLUSIONS: This study shows that the career intentions of British medical students are influenced by their undergraduate experience and by the weight they place on different specialty-related factors.

Measuring academic performance for healthcare researchers with the H index: which search tool should be used?

OBJECTIVES: To compare H index scores for healthcare researchers returned by Google Scholar, Web of Science and Scopus databases, and to assess whether a researcher's age, country of institutional affiliation and physician status influences calculations. SUBJECTS AND METHODS: One hundred and ninety-five Nobel laureates in Physiology and Medicine from 1901 to 2009 were considered. Year of first and last publications, total publications and citation counts, and the H index for each laureate were calculated from each database. Cronbach's alpha statistics was used to measure the reliability of H index scores between the databases. Laureate characteristic influence on the H index was analysed using linear regression. RESULTS: There was no concordance between the databases when considering the number of publications and citations count per laureate. The H index was the most reliably calculated bibliometric across the three databases (Cronbach's alpha = 0.900). All databases returned significantly higher H index scores for younger laureates (p < 0.0001). Google Scholar and Web of Science returned significantly higher H index for physician laureates (p = 0.025 and p = 0.029, respectively). Country of institutional affiliation did not influence the H index in any database. CONCLUSION: The H index appeared to be the most consistently calculated bibliometric between the databases for Nobel laureates in Physiology and Medicine. Researcher-specific characteristics constituted an important component of objective research assessment. The findings of this study call to question the choice of current and future academic performance databases.

The Role of Artificial Intelligence in Prospective Real-Time Histological Prediction of Colorectal Lesions during Colonoscopy: A Systematic Review and Meta-Analysis.

Artificial intelligence (AI) presents a novel platform for improving disease diagnosis. However, the clinical utility of AI remains limited to discovery studies, with poor translation to clinical practice. Current data suggests that 26% of diminutive pre-malignant lesions and 3.5% of colorectal cancers are missed during colonoscopies. The primary aim of this study was to explore the role of artificial intelligence in real-time histological prediction of colorectal lesions during colonoscopy. A systematic search using MeSH headings relating to "AI", "machine learning", "computer-aided", "colonoscopy", and "colon/rectum/colorectal" identified 2290 studies. Thirteen studies reporting real-time analysis were included. A total of 2958 patients with 5908 colorectal lesions were included. A meta-analysis of six studies reporting sensitivities (95% CI) demonstrated that endoscopist diagnosis was superior to a computer-assisted detection platform, although no statistical significance was reached (p = 0.43). AI applications have shown encouraging results in differentiating neoplastic and non-neoplastic lesions using narrow-band imaging, white light imaging, and blue light imaging. Other modalities include autofluorescence imaging and elastic scattering microscopy. The current literature demonstrates that despite the promise of new endoscopic AI models, they remain inferior to expert endoscopist diagnosis. There is a need to focus developments on real-time histological predictions prior to clinical translation to demonstrate improved diagnostic capabilities and time efficiency.

Body mass index category as a risk factor for colorectal adenomas: a systematic review and meta-analysis.

OBJECTIVES: The association between increasing body weight and colorectal adenoma prevalence has been suggested to follow a similar pattern to excess weight and colorectal cancer, although the magnitude of this relationship has not been validated. The objective of this study was to quantify the association and dose-response relationship between body mass index (BMI) and colorectal adenoma prevalence in clinical trials. METHODS: We systematically reviewed 23 studies (168,201 participants), which compared the prevalence of colorectal adenomas according to World Health Organization BMI categories. We assessed the effects of each BMI category on colorectal adenomas where odds ratio (OR) was used as a surrogate for effect size, and applied multivariate meta-analysis as a method of sensitivity analysis to evaluate the robustness of our findings and to analyze adenoma prevalence by multiple BMI categories simultaneously to assess for a dose-response relationship. Heterogeneity and publication bias were assessed. RESULTS: Subjects with a BMI of ≥25 had a significantly higher prevalence of colorectal adenomas (OR=1.24 (95% confidence interval (CI): 1.16-1.33), P<0.01) when compared with those with BMI<25. Multivariate meta-analysis also confirmed a positive association between higher BMI categories and the prevalence of colorectal adenoma (BMI: 25-30 vs. BMI<25; OR=1.21 (95% CI: 1.07-1.38), P<0.01; BMI≥30 vs. BMI<25; OR=1.32 (95% CI: 1.18-1.48), P<0.01) and revealed a dose-response relationship. CONCLUSIONS: The positive association between obesity and colorectal adenoma prevalence demonstrates an underlying dose-response relationship according to BMI. Colorectal centers may benefit from the timely screening of obese patients for colorectal adenomas in addition to clarifying the biological role of adiposity on colorectal tumor initiation and progression.

Evidence-based surgery: barriers, solutions, and the role of evidence synthesis.

BACKGROUND: Surgery is a rapidly evolving field, making the rigorous testing of emerging innovations vital. However, most surgical research fails to employ randomized controlled trials (RCTs) and has particularly been based on low-quality study designs. Subsequently, the analysis of data through meta-analysis and evidence synthesis is particularly difficult. METHODS: Through a systematic review of the literature, this article explores the barriers to achieving a strong evidence base in surgery and offers potential solutions to overcome the barriers. RESULTS: Many barriers exist to evidence-based surgical research. They include enabling factors, such as funding, time, infrastructure, patient preference, ethical issues, and additionally barriers associated with specific attributes related to researchers, methodologies, or interventions. Novel evidence synthesis techniques in surgery are discussed, including graphics synthesis, treatment networks, and network meta-analyses that help overcome many of the limitations associated with existing techniques. They offer the opportunity to assess gaps and quantitatively present inconsistencies within the existing evidence of RCTs. CONCLUSIONS: Poorly or inadequately performed RCTs and meta-analyses can give rise to incorrect results and thus fail to inform clinical practice or revise policy. The above barriers can be overcome by providing academic leadership and good organizational support to ensure that adequate personnel, resources, and funding are allocated to the researcher. Training in research methodology and data interpretation can ensure that trials are conducted correctly and evidence is adequately synthesized and disseminated. The ultimate goal of overcoming the barriers to evidence-based surgery includes the improved quality of patient care in addition to enhanced patient outcomes.

Development of a surgical educational research program-fundamental principles and challenges.

BACKGROUND: Surgical educational research is the scientific investigation of any aspect of surgical learning, teaching, training, and assessment. The research into development and validation of educational tools is vital to optimize patient care. This can be accomplished by establishing high quality educational research programs within academic surgical departments. This article aims to identify the components involved in educational research and describes the challenges as well as solutions to establishing a high quality surgical educational research program. METHODS: A variety of sources including journal articles, books, and online literature were reviewed in order to determine the pathways involved in conducting educational research and establishing a research program. RESULTS: It is vital to ensure that educational research is acceptable, innovative, robust in design, funded correctly, and disseminated successfully. Challenges faced by the current surgical research programs include structural organization, academic support, credibility, time, funding, relevance, and growth. The solutions to these challenges have been discussed. CONCLUSIONS: To ensure research in surgical education is of high quality and yields credible results, strong leadership in the organization of an educational research program is necessary.

The role of single-incision laparoscopic surgery in abdominal and pelvic surgery: a systematic review.

OBJECTIVE: This review aimed to determine the role of single-incision laparoscopic surgery (SILS) in abdominal and pelvic operations. DATA SOURCES: The Medline, EMBASE, and PsycINFO databases were systematically searched until October 2009 using "single-incision laparoscopic surgery" and related terms as keywords. References from retrieved articles were reviewed to broaden the search STUDY SELECTION: The study included case reports, case series, and empirical studies that reported SILS in abdominal and pelvic operations. DATA EXTRACTION: Number of patients, type of instruments, operative time, blood loss, conversion rate, length of hospital stay, length of follow-up evaluation, and complications were extracted from the reviewed items DATA SYNTHESIS: The review included 102 studies classified as level 4 evidence. Most of these studies investigated SILS in cholecystectomy (n=34), appendectomy (n=24), and nephrectomy (n=17). For these procedures, operative time, hospital stay, and complications were comparable with those of conventional laparoscopy. Conversion to conventional laparoscopy was seldom performed in cholecystectomy (range, 0-24%) and more frequent in appendectomy (range, 0-41%) and nephrectomy (range, 0-33%). CONCLUSION: The potential benefits of SILS include superior cosmesis and possibly shorter operative time, lower costs, and a shortened time to full physical recovery. Careful case selection and a low threshold of conversion to conventional laparoscopic surgery are essential. Multicenter, randomized, prospective studies are needed to compare short- and long-term outcome measures against those of conventional laparoscopic surgery.

A framework to establish a mentoring programme in surgery.

INTRODUCTION: Mentoring programmes help to facilitate the process of continuous professional development in surgery, providing an organizational structure around a mentor-mentee relationship which helps to develop the mentee. The lack of guidelines outlining how to set up such mentoring programmes, the fragmented inter-relationships of existing schemes and the lack of a unified strategy for their implementation are obstacles to the creation of such initiatives within many surgical departments. METHODS: We draw upon previous research, the experiences of certain authors and our own reflections to identify the key features of a surgical mentoring programme. RESULTS: We propose a ten step process which aims to encourage the development of formalised mentoring programmes in surgery. CONCLUSION: This outline may improve the delivery and effectiveness of mentoring programmes, which may ultimately enhance surgical training and hence quality of patient care.

Specialist anatomy: Is the structure of teaching adequate?

BACKGROUND: A knowledge and understanding of specialist anatomy, which includes radiological, laparoscopic, endoscopic and endovascular anatomy is essential for interpretation of imaging and development of procedural skills. METHODS AND MATERIALS: Medical students, specialist trainees and specialists from the London (England, UK) area were surveyed to investigate individual experiences and recommendations for: (1) timing of the introduction of specialist anatomy teaching, and (2) pedagogical methods used. Opinions relating to radiological, laparoscopic, endoscopic and endovascular anatomy were collected. Non-parametric tests were used to investigate differences in recommendations between specialist trainees and specialists. RESULTS: Two hundred and twenty-eight (53%) individuals responded to the survey. Imaging was most commonly used to learn radiological anatomy (94.5%). Procedural observation was most commonly used to learn laparoscopic (89.0%), endoscopic (87.3%) and endovascular anatomy (66.2%). Imaging was the most recommended method to learn radiological anatomy (92.1%). Procedural observation was the most recommended method for learning laparoscopic (80.0%), endoscopic (81.2%) and endovascular anatomy (42.5%). Specialist trainees and specialists recommended introduction of specialist anatomy during undergraduate training. CONCLUSION: Although the methods for specialist anatomy learning are in practice, there is no consensus on timing and structure within the anatomy curriculum. Recommendations from trainees and specialists should be considered so that the existing curriculum can be refined to maximise learning outcomes.

A call for governments to pause Twitter censorship: using Twitter data as social-spatial sensors of COVID-19/SARS-CoV-2 research diffusion.

In this study we determined whether Twitter data can be used as social-spatial sensors to show how research on COVID-19/SARS-CoV-2 diffuses through the population to reach the people that are affected by the disease. We performed a cross-sectional bibliometric analysis between 23rd March and 14th April 2020. Three sources of data were used: (1) deaths per number of population for COVID-19/SARS-CoV-2 retrieved from John Hopkins University and Worldometer, (2) publications related to COVID-19/SARS-CoV-2 retrieved from World Health Organisation COVID-19 database, and (3) tweets of these publications retrieved from Altmetric.com and Twitter. In the analysis, the number of publications used was 1761, and number of tweets used was 751,068. Mapping of worldwide data illustrated that high Twitter activity was related to high numbers of COVID-19/SARS-CoV-2 deaths, with tweets inversely weighted with number of publications. Regression models of worldwide data showed a positive correlation between the national deaths per number of population and tweets when holding number of publications constant (coefficient 0.0285, S.E. 0.0003, p < 0.001). Twitter can play a crucial role in the rapid research response during the COVID-19/SARS-CoV-2 pandemic, especially to spread research with prompt public scrutiny. Governments are urged to pause censorship of social media platforms to support the scientific community's fight against COVID-19/SARS-CoV-2.

Are disruptive innovations recognised in the healthcare literature? A systematic review.

The study aims to conduct a systematic review to characterise the spread and use of the concept of 'disruptive innovation' within the healthcare sector. We aim to categorise references to the concept over time, across geographical regions and across prespecified healthcare domains. From this, we further aim to critique and challenge the sector-specific use of the concept. PubMed, Medline, Embase, Global Health, PsycINFO, Maternity and Infant Care, and Health Management Information Consortium were searched from inception to August 2019 for references pertaining to disruptive innovations within the healthcare industry. The heterogeneity of the articles precluded a meta-analysis, and neither quality scoring of articles nor risk of bias analyses were required. 245 articles that detailed perceived disruptive innovations within the health sector were identified. The disruptive innovations were categorised into seven domains: basic science (19.2%), device (12.2%), diagnostics (4.9%), digital health (21.6%), education (5.3%), processes (17.6%) and technique (19.2%). The term has been used with increasing frequency annually and is predominantly cited in North American (78.4%) and European (15.2%) articles. The five most cited disruptive innovations in healthcare are 'omics' technologies, mobile health applications, telemedicine, health informatics and retail clinics. The concept 'disruptive innovation' has diffused into the healthcare industry. However, its use remains inconsistent and the recognition of disruption is obscured by other types of innovation. The current definition does not accommodate for prospective scouting of disruptive innovations, a likely hindrance to policy makers. Redefining disruptive innovation within the healthcare sector is therefore crucial for prospectively identifying cost-effective innovations.

Is the structure of anatomy curriculum adequate for safe medical practice?

INTRODUCTION: Anatomy has been considered a core subject within the medical education curriculum. In the current setting of ever-changing diagnostic and treatment modalities, the opinion of both students and trainers is crucial for the design of an anatomy curriculum which fulfils the criteria required for safe medical practice. METHODS: Medical students, trainees and specialist trainee doctors and specialists from the London (England) area were surveyed to investigate the how curriculum changes have affected the relevance of anatomical knowledge to clinical practice and to identify recommendations for optimum teaching methods. The survey employed 5-point Likert scales and multiple-choice questions. Where the effect of training level was statistically significant (p < 0.05), post-hoc analysis was carried out using Mann-Whitney U tests. Significance levels were modified according to the Bonferroni method. RESULTS: Two hundred and twenty-eight individuals completed the survey giving a response rate of 53%. Medical students, trainees and specialists all agreed (mean Likert score 4.51, 4.79, 4.69 respectively) that knowledge of anatomy is important for medical practice. Most of the trainees (88.4%) and specialists (81.3%) used dissection to learn anatomy, but only 61.4% of medical students used this approach. Dissection was the most commonly recommended approach for learning anatomy across all the groups (41.7%-69.3%). CONCLUSIONS: Knowledge of anatomy is perceived to be important for safe clinical practice. Anatomy should be taught with other relevant system or clinical modules. Newer tools for anatomy teaching need further validation before incorporation into the curriculum.

Are papers addressing certain diseases perceived where these diseases are prevalent? The proposal to use Twitter data as social-spatial sensors.

We propose to use Twitter data as social-spatial sensors. This study deals with the question whether research papers on certain diseases are perceived by people in regions (worldwide) that are especially concerned by these diseases. Since (some) Twitter data contain location information, it is possible to spatially map the activity of Twitter users referring to certain papers (e.g., dealing with tuberculosis). The resulting maps reveal whether heavy activity on Twitter is correlated with large numbers of people having certain diseases. In this study, we focus on tuberculosis, human immunodeficiency virus (HIV), and malaria, since the World Health Organization ranks these diseases as the top three causes of death worldwide by a single infectious agent. The results of the social-spatial Twitter maps (and additionally performed regression models) reveal the usefulness of the proposed sensor approach. One receives an impression of how research papers on the diseases have been perceived by people in regions that are especially concerned by these diseases. Our study demonstrates a promising approach for using Twitter data for research evaluation purposes beyond simple counting of tweets.

Evaluating the implications of Brexit for research collaboration and policy: a network analysis and simulation study.

OBJECTIVE: To evaluate the role of the European Union (EU) as a research collaborator in the UK's success as a global leader in healthcare research and innovation and quantify the impact that Brexit may have. DESIGN: Network and regression analysis of scientific collaboration, followed by simulation models based on alternative scenarios. SETTING: International real-world collaboration network among all countries involved in robotic surgical research and innovation. PARTICIPANTS: 772 organisations from industry and academia nested within 56 countries and connected through 2397 collaboration links. MAIN OUTCOME MEASURES: Research impact measured through citations and innovation value measured through the innovation index. RESULTS: Globally, the UK ranks third in robotic surgical innovation, and the EU constitutes its prime collaborator. Brokerage opportunities and collaborators' geographical diversity are associated with a country's research impact (c=211.320 and 244.527, respectively; p<0·01) and innovation (c=18.819 and 30.850, respectively; p<0·01). Replacing EU collaborators with US ones is the only strategy that could benefit the UK, but on the condition that US collaborators are chosen among the top-performing ones, which is likely to be very difficult and costly, at least in the short term. CONCLUSIONS: This study suggests what has long been argued, namely that the UK-EU research partnership has been mutually beneficial and that its continuation represents the best possible outcome for both negotiating parties. However, the uncertainties raised by Brexit necessitate looking beyond the EU for potential research partners. In the short term, the UK's best strategy might be to try and maintain its academic links with the EU. In the longer term, strategic relationships with research powerhouses, including the USA, China and India, are likely to be crucial for the UK to remain a global innovation leader.