Game design elements of serious games in the education of medical and healthcare professions: a mixed-methods systematic review of underlying theories and teaching effectiveness.

Serious games, as a learning resource, enhance their game character by embedding game design elements that are typically used in entertainment games. Serious games in its entirety have already proven their teaching effectiveness in different educational contexts including medical education. The embedded game design elements play an essential role for a game's effectiveness and thus they should be selected based on evidence-based theories. For game design elements embedded in serious games used for the education of medical and healthcare professions, an overview of theories for the selection lacks. Additionally, it is still unclear whether and how single game design elements affect the learning effectiveness. Therefore, the main aim of this systematic review is threefold. Firstly, light will be shed on the single game design elements used in serious games in this area. Second, the game design elements' underlying theories will be worked out, and third, the game design elements' effectiveness on student learning outcome will be assessed. Two literature searches were conducted in November 2021 and May 2022 in six literature databases with keywords covering the fields of educational game design, serious game, and medical education. Out of 1006 initial records, 91 were included after applying predefined exclusion criteria. Data analysis revealed that the three most common game design elements were points, storyline, and feedback. Only four underlying theories were mentioned, and no study evaluated specific game design elements. Since game design elements should be based on theories to ensure meaningful evaluations, the conceptual GATE framework is introduced, which facilitates the selection of evidence-based game design elements for serious games.

Medical students' AI literacy and attitudes towards AI: a cross-sectional two-center study using pre-validated assessment instruments.

BACKGROUND: Artificial intelligence (AI) is becoming increasingly important in healthcare. It is therefore crucial that today's medical students have certain basic AI skills that enable them to use AI applications successfully. These basic skills are often referred to as "AI literacy". Previous research projects that aimed to investigate medical students' AI literacy and attitudes towards AI have not used reliable and validated assessment instruments. METHODS: We used two validated self-assessment scales to measure AI literacy (31 Likert-type items) and attitudes towards AI (5 Likert-type items) at two German medical schools. The scales were distributed to the medical students through an online questionnaire. The final sample consisted of a total of 377 medical students. We conducted a confirmatory factor analysis and calculated the internal consistency of the scales to check whether the scales were sufficiently reliable to be used in our sample. In addition, we calculated t-tests to determine group differences and Pearson's and Kendall's correlation coefficients to examine associations between individual variables. RESULTS: The model fit and internal consistency of the scales were satisfactory. Within the concept of AI literacy, we found that medical students at both medical schools rated their technical understanding of AI significantly lower (MMS1 = 2.85 and MMS2 = 2.50) than their ability to critically appraise (MMS1 = 4.99 and MMS2 = 4.83) or practically use AI (MMS1 = 4.52 and MMS2 = 4.32), which reveals a discrepancy of skills. In addition, female medical students rated their overall AI literacy significantly lower than male medical students, t(217.96) = -3.65, p <.001. Students in both samples seemed to be more accepting of AI than fearful of the technology, t(745.42) = 11.72, p <.001. Furthermore, we discovered a strong positive correlation between AI literacy and positive attitudes towards AI and a weak negative correlation between AI literacy and negative attitudes. Finally, we found that prior AI education and interest in AI is positively correlated with medical students' AI literacy. CONCLUSIONS: Courses to increase the AI literacy of medical students should focus more on technical aspects. There also appears to be a correlation between AI literacy and attitudes towards AI, which should be considered when planning AI courses.

Adventure Legal Medicine: a free online serious game for supplementary use in undergraduate medical education.

Serious games (computer-based learning games) are increasingly used in medical education at various levels, as user access is independent of location and time and promotes non-linear learning. In legal medicine, interactive digital media are still scarce. The freely accessible online serious game "Adventure Legal Medicine" was developed as part of the "Hamburg Open Online University". The goal was to teach the basics of forensic casework in a point-and-click adventure setting consisting of five cases. During development, 40 medical students were asked to evaluate the game anonymously. The System Usability Scale (SUS) resulted in a mean score of 86.7 (SD 8.3), which corresponds to above-average usability. Further specific evaluations revealed a good to very good rating of the game with no differences in terms of gender (p = 0.214), first-year versus advanced students (p = 0.393) and students who never/rarely or sometimes/often played computer games (p = 0.780). Since there are only a few digital media so far that allow curricular integration into undergraduate teaching in legal medicine, this serious game represents a possibility to integrate digital media into both face-to-face teaching and distance learning and to use it as a supplement to the medical school's own teaching offer, encouraging users to actively engage with the subject.

Conception and Feasibility of a Digital Tele-Guided Abdomen, Thorax, and Thyroid Gland Ultrasound Course for Medical Students (TELUS study).

PURPOSE: Medical education has been transformed during the COVID-19 pandemic, creating challenges regarding adequate training in ultrasound (US). Due to the discontinuation of traditional classroom teaching, the need to expand digital learning opportunities is undeniable. The aim of our study is to develop a tele-guided US course for undergraduate medical students and test the feasibility and efficacy of this digital US teaching method. MATERIALS AND METHODS: A tele-guided US course was established for medical students. Students underwent seven US organ modules. Each module took place in a flipped classroom concept via the Amboss platform, providing supplementary e-learning material that was optional and included information on each of the US modules. An objective structured assessment of US skills (OSAUS) was implemented as the final exam. US images of the course and exam were rated by the Brightness Mode Quality Ultrasound Imaging Examination Technique (B-QUIET). Achieved points in image rating were compared to the OSAUS exam. RESULTS: A total of 15 medical students were enrolled. Students achieved an average score of 154.5 (SD ±â€Š11.72) out of 175 points (88.29 %) in OSAUS, which corresponded to the image rating using B-QUIET. Interrater analysis of US images showed a favorable agreement with an ICC (2.1) of 0.895 (95 % confidence interval 0.858 < ICC < 0.924). CONCLUSION: US training via teleguidance should be considered in medical education. Our pilot study demonstrates the feasibility of a concept that can be used in the future to improve US training of medical students even during a pandemic.

[Smoking cessation in hospitalised patients - Initiate among inpatients, continue when outpatients - A Position Paper by the German Respiratory Society (DGP) Taskforce for Smoking Cessation]. / Tabakentwöhnung bei hospitalisierten Patienten:innen ­ Stationär einleiten, ambulant fortführen.

Tobacco smoking is the greatest preventable health risk. The effects are serious, both individually and societal. Nevertheless, the current prevalence of tobacco smokers in Germany is still high at around 35 %. A recent strong increase in actively smoking adolescents (14- to 17-year-olds, current prevalence approx. 16 %) and young adults (18- to 24-year-olds, current prevalence approx. 41 %) is also a cause for concern. About a third of all inpatients continue smoking while being treated. The hospitalization of active smokers in acute and rehabilitation hospitals serves as a "teachable moment" for initiation of cessation offers. An intervention that begins in hospital and continues for at least a month after discharge results in about 40 % additional smokefree patients. It is scientifically well-researched, effective and cost-efficient. After initiation in hospital these measures can be continued via ambulatory cessation programs, rehabilitation facilities, an Internet or telephone service. In Germany, there are structured and quality-assured cessation offers, both for the inpatient and for the outpatient area. The biggest obstacle to broad establishment of such offers is the lack of reimbursement. Two feasible ways to change this would be the remuneration of the existing OPS 9-501 "Multimodal inpatient treatment for smoking cessation" and the establishment of quality contracts according to §â€Š110a SGB V. An expansion of tobacco cessation measures in healthcare facilities would reduce smoking prevalence, associated burden of disease and consecutive costs.

Potential Explanations for Conflicting Findings on Abrupt Versus Gradual Smoking Cessation: A Population Study in England.

INTRODUCTION: Observational and trial evidence conflict on the efficacy of two contrasting behavioral approaches to quitting smoking-gradual and abrupt. Observational data suggest an abrupt approach to quitting is superior to a gradual approach, whilst trials show no difference. One potential explanation is self-selection in observational data, whereby people can choose their quit approach, and those who find it harder to quit may be more likely to choose a gradual quit approach. This study aims to investigate potential explanations for these conflicting findings. AIMS AND METHODS: This study aims to investigate potential explanations for these conflicting findings. We used observational data from a nationally representative sample of adults in England from November 2006 to February 2020 who reported smoking and had made at least one quit attempt in the past year (n = 21 542). We used logistic regression models to assess the association between abrupt versus gradual quit attempts and quit success, adjusting for sociodemographic, smoking, and quit attempt characteristics. FINDINGS: Abrupt, versus gradual, attempts were associated with improved quit success in an unadjusted model (odds ratio = 2.02, 95% CI = 1.86 to 2.19). This association remained after adjusting for a broad range of relevant confounders (odds ratio = 1.75, 95% CI = 1.59 to 1.93). CONCLUSIONS: Among a representative sample of adults who had smoked and made a quit attempt in the past year, there was evidence of an association between abrupt attempts and quit success before and after adjusting for relevant confounders. This suggests that the differences in quit success seen between abrupt and gradual quit attempt types are not completely driven by self-selection in observational data. IMPLICATIONS: We investigated explanations for conflicting findings on the efficacy of gradual versus abrupt approaches to quitting smoking between trial and observational data. Despite adjusting observational data for sociodemographic, smoking, and quit attempt characteristics, an association between abrupt quitting and quit success remained. Therefore, differences in quit success were not completely driven by the self-selection of a gradual approach by people who found it especially difficult to quit or differences in the use of quitting aids. However, characteristics adjusted for were limited by the data available, and future research should continue to investigate the difference in findings across study types to inform cessation support.

Considering vocational training as selection criterion for medical students: evidence for predictive validity.

Prior work experience in a relevant medical profession is an important admission criterion currently used at many German medical schools in addition to cognitive criteria. In other countries, work experience is often considered in later admission stages (e.g., interviews with pre-selected subgroups of applicants). However, evidence for its predictive validity for study success in addition to cognitive admission criteria is currently lacking. We therefore assessed whether completed vocational training in a relevant medical profession can predict study performance in the first two years of study in addition to cognitive admission criteria. Admission and study performance data of all currently enrolled medical students at two German medical schools (Göttingen and Heidelberg) beginning with the 2013/14 cohort were retrospectively analyzed. Cognitive admission criteria in our sample were GPA grades and a cognitive test ("Test für Medizinische Studiengänge", TMS). We defined the study outcome parameter as the mean percentile rank over all performance data points over the first two years of study for each location, respectively. A multi-level model with varying intercepts by location, GPA, TMS, vocational training, and sex as predictors accounted for 14.5% of the variance in study outcome. A positive predictive association with study outcome was found for vocational training (ß = 0.33, p = .008) beyond GPA (ß = 0.38, p < .001) and TMS (ß = 0.26, p < .001). Our results support the use of prior vocational training as a selection criterion for medical studies potentially adding predictive validity to cognitive criteria.

Application of test-enhanced learning (TEL) in obstetrics and gynecology: a prospective study.

OBJECTIVE: Clinical reasoning is an essential skill, the foundations of which should be acquired during medical school. Within the format of test-based learning, such examinations can also be used to support the long-term retention of procedural knowledge necessary for clinical reasoning. The aim was to investigate whether repeated exposure to clinical cases in obstetrics and gynecology (OBGYN) with built-in questions leads to higher learning outcome than pure reading cases and what influence the delay between the intervention and the final test has on the retention of the respective content. METHODS: In this non-randomised crossover study, 5th-year medical students (duration of the study is 6 years) taking a 1-week clinical attachment in OBGYN participated in computer-based case seminars in winter term 2020/2021, in which different case histories on gynecological-obstetric diseases were presented. Case content was identical for all groups, but the presentation format (cases with key feature questions vs read-only cases) of individual case vignettes changed weekly. The also intervention was repeated after 2 weeks for each group. Knowledge was assessed in an entry and an exit exam consisting of 40 short-answer questions. RESULTS: A total of 94 out of 118 eligible students participated in the study (response rate: 79.7%). Learning outcome was significantly higher for items presented in the key feature format compared to items presented as read-only cases (74.2 ± 8.6% vs. 71.0 ± 9.2%; p = 0.017). Furthermore, the analysis showed that the temporal distance of the intervention package from the final examination had no influence on retention. CONCLUSION: This is the first study to demonstrate an effect of test-enhanced learning on clinical reasoning in the subject of OGBYN. In this cross-over study, repeated testing was more effective than repeated case-based learning alone. Curricular implementation of longitudinal key feature testing can thus improve learning outcomes for OBGYN.

Using item response theory to appraise key feature examinations for clinical reasoning.

BACKGROUND: Validation of examinations is usually based on classical test theory. In this study, we analysed a key feature examination according to item response theory and compared the results with those of a classical test theory approach. METHODS: Over the course of five years, 805 fourth-year undergraduate students took a key feature examination on general medicine consisting of 30 items. Analyses were run according to a classical test theory approach as well as using item response theory. Classical test theory analyses are reported as item difficulty, discriminatory power, and Cronbach's alpha while item response theory analyses are presented as item characteristics curves, item information curves and a test information function. RESULTS: According to classical test theory findings, the examination was labelled as easy. Analyses according to item response theory more specifically indicated that the examination was most suited to identify struggling students. Furthermore, the analysis allowed for adapting the examination to specific ability ranges by removing items, as well as comparing multiple samples with varying ability ranges. CONCLUSIONS: Item response theory analyses revealed results not yielded by classical test theory. Thus, both approaches should be routinely combined to increase the information yield of examination data.

Effect of a flipped classroom course to foster medical students' AI literacy with a focus on medical imaging: a single group pre-and post-test study.

BACKGROUND: The use of artificial intelligence applications in medicine is becoming increasingly common. At the same time, however, there are few initiatives to teach this important and timely topic to medical students. One reason for this is the predetermined medical curriculum, which leaves very little room for new topics that were not included before. We present a flipped classroom course designed to give undergraduate medical students an elaborated first impression of AI and to increase their "AI readiness". METHODS: The course was tested and evaluated at Bonn Medical School in Germany with medical students in semester three or higher and consisted of a mixture of online self-study units and online classroom lessons. While the online content provided the theoretical underpinnings and demonstrated different perspectives on AI in medical imaging, the classroom sessions offered deeper insight into how "human" diagnostic decision-making differs from AI diagnoses. This was achieved through interactive exercises in which students first diagnosed medical image data themselves and then compared their results with the AI diagnoses. We adapted the "Medical Artificial Intelligence Scale for Medical Students" to evaluate differences in "AI readiness" before and after taking part in the course. These differences were measured by calculating the so called "comparative self-assessment gain" (CSA gain) which enables a valid and reliable representation of changes in behaviour, attitudes, or knowledge. RESULTS: We found a statistically significant increase in perceived AI readiness. While values of CSA gain were different across items and factors, the overall CSA gain regarding AI readiness was satisfactory. CONCLUSION: Attending a course developed to increase knowledge about AI in medical imaging can increase self-perceived AI readiness in medical students.

A prediction-based method to estimate student learning outcome: Impact of response rate and gender differences on evaluation results.

BACKGROUND: Low response rates threaten the reliability and validity of student evaluations of teaching. Previous research has shown that asking students to predict how satisfied their fellow students were with a course produces reliable results at lower response rates. The aim of this study was to investigate whether this prediction-based method can also be used to evaluate student learning outcome. METHODS: Before and after a cardiorespiratory module, 128 fourth-year medical students provided self-assessments and predictions of performance on 27 specific learning objectives and took formative tests on the respective contents. Pre-post performance gain was compared across all three modalities. RESULTS: Formative exam results indicated a performance gain of 63.0%. Self-assessed and prediction-based performance gains were identical (67.8%) but both slightly overestimated actual performance gain. Irrespective of the method used, a response rate of 20% was sufficient to produce reliable results. Compared to male students, females greatly overestimated their peers' performance which led to inflated performance gain values. CONCLUSIONS: Student self-assessments and predictions are equally valid sources of learning outcome measures, and low response rates are sufficient to produce stable results. When using a prediction-based approach, a tendency to overestimate learning outcome in female students needs to be taken into account.

Effectiveness of a serious game addressing guideline adherence: cohort study with 1.5-year follow-up.

BACKGROUND: Patients presenting with acute shortness of breath and chest pain should be managed according to guideline recommendations. Serious games can be used to train clinical reasoning. However, only few studies have used outcomes beyond student satisfaction, and most of the published evidence is based on short-term follow-up. This study investigated the effectiveness of a digital simulation of an emergency ward regarding appropriate clinical decision-making. METHODS: In this prospective trial that ran from summer 2017 to winter 2018/19 at Göttingen Medical University Centre, a total of 178 students enrolled in either the fourth or the fifth year of undergraduate medical education took six 90-min sessions of playing a serious game ('training phase') in which they managed virtual patients presenting with various conditions. Learning outcome was assessed by analysing log-files of in-game activity (including choice of diagnostic methods, differential diagnosis and treatment initiation) with regard to history taking and patient management in three virtual patient cases: Non-ST segment elevation myocardial infarction (NSTEMI), pulmonary embolism (PE) and hypertensive crisis. Fourth-year students were followed up for 1.5 years, and their final performance was compared to the performance of students who had never been exposed to the game but had otherwise taken the same five-year undergraduate course. RESULTS: During the training phase, overall performance scores increased from 57.6 ± 1.1% to 65.5 ± 1.2% (p < 0.001; effect size 0.656). Performance remained stable over 1.5 years, and the final assessment revealed a strong impact of ever-exposure to the game on management scores (72.6 ± 1.2% vs. 63.5 ± 2.1%, p < 0.001; effect size 0.811). Pre-exposed students were more than twice as likely to correctly diagnose NSTEMI and PE and showed significantly greater adherence to guideline recommendations (e.g., troponin measurement and D-dimer testing in suspected PE). CONCLUSIONS: The considerable difference observed between previously exposed and unexposed students suggests a long-term effect of using the game although retention of specific virtual patient cases rather than general principles might partially account for this effect. Thus, the game may foster the implementation of guideline recommendations.

Understanding the Association Between Spontaneous Quit Attempts and Improved Smoking Cessation Success Rates: A Population Survey in England With 6-Month Follow-up.

INTRODUCTION: Almost half of smoking quit attempts are "spontaneous" (initiated as soon as the decision to quit has been made) and are associated with increased success rates. This study aimed to assess to what extent other factors may account for this association. METHODS: Data were used from respondents to a survey representative of the adult population in England from 2006 to 2016. We included 2018 respondents who were current smokers at baseline and had attempted to quit between baseline and 6-month follow-up. Logistic regression models assessed the association between quit success and spontaneous quit attempts while adjusting for smoking, sociodemographic, and quit attempt characteristics. RESULTS: Spontaneous quit attempts were associated with greater odds of quit success (OR = 1.31, 95% CI = 1.07 to 1.60) but the association was not significant in the fully adjusted model (ORadj = 1.19, 95% CI = 0.95 to 1.49). In this adjusted model, those who attempted to quit without cutting down first (ORadj = 3.08, 95% CI = 2.46 to 3.88) and were male (ORadj = 1.44, 95% CI = 1.16 to 1.80) had greater odds of success; although a greater number of attempts in the past 6 months, stronger urges to smoke (strong vs. none), higher daily cigarette consumption, and lower social grade (E vs. AB) were associated with lower odds of success (ORadj range = 0.32-0.98, p < .030). Quit attempts made without cutting down first were correlated with spontaneous quit attempts (r = .150, p < .001) and appeared to account for the diminished association between spontaneous quitting and success (ORadj = 1.18, 95% CI = 0.96 to 1.46). CONCLUSIONS: The increased success rate of spontaneous quit attempts appears to be because spontaneous quit attempts are more likely to be made without cutting down first. IMPLICATIONS: The apparent benefit of spontaneous over planned quit attempts may be attributable to the former being more likely to involve quitting without cutting down first (ie, abrupt cessation) than cutting down first (ie, gradual cessation) and so this may be a more useful target for advice to improve the chances of successful quitting.

Decrease in Resting Heart Rate Measured Using Smartphone Apps to Verify Abstinence From Smoking: An Exploratory Study.

INTRODUCTION: Verifying self-reports of smoking abstinence is challenging in studies that involve remote data collection. Resting heart rate (HR) decreases during smoking abstinence. This study assessed whether a decrease in resting HR measured using freely available smartphone apps could potentially be used to verify smoking abstinence. METHODS: This study involved a repeated measures experimental design, with data collection in natural setting. Participants were 18 adult, daily smokers. They recorded resting HR in beats per minute (bpm) using freely available smartphone apps during five timepoints (two in the morning and three postnoon) on each of 3 days. The outcome measure was the mean of the postnoon HR recordings. The experimental condition for each of the 3 days (counterbalanced order) was as follows: (1) smoking as usual, (2) not smoking without nicotine replacement therapy (NRT), or (3) not smoking but using NRT. Abstinence was verified using expired-air carbon monoxide (CO) concentration. RESULTS: Compared with the smoking as usual condition, mean HR was 13.4 bpm lower (95% confidence interval [CI] = 5.4 to 21.4, p = .001) in the not smoking without NRT condition and 10.4 bpm lower (95% CI = 3.1 to 17.8, p = 0.004) in the not smoking with NRT condition. There was no statistically significant difference in HR between the two not smoking conditions (p = .39). Abstinence during not smoking days without and with NRT was CO-verified in 18/18 and in 16/18 cases, respectively. CONCLUSIONS: Self-recording of resting HR in natural setting using smartphone apps shows a reliable decrease in response to smoking abstinence and may provide a basis for remote verification in smoking cessation studies. IMPLICATIONS: Remote verification of self-reported abstinence in smoking cessation studies remains challenging. Smoking abstinence has been shown to decrease resting HR under laboratory conditions. This study demonstrated that self-recording using freely available smartphone apps shows reliable decreases in resting HR during smoking abstinence and may provide a basis for inexpensive remote verification of smoking abstinence.

Tobacco Use, Knowledge about Smoking-Associated Risks, and Cessation Programs among Dental Students in Germany - ToDent.

BACKGROUND: Professional and consistent smoking prevention and cessation may avoid many smoking-associated deaths worldwide. Dentists can exert a decisive influence on smoking behavior, as most people regularly visit a dentist. However, only if dentists have been trained sufficiently about the consequences of smoking and of smoking cessation methods might they fulfill this task appropriately. OBJECTIVES: The aim of our study was therefore to examine the prevalence of smokers among dental students in Germany, their attitude toward smoking in general, and their knowledge about tobacco-related diseases and smoking cessation programs. METHODS: A cross-sectional survey among dental students in Germany was conducted in 2016. Students of the first and tenth semesters were asked to participate in this anonymous survey. The questionnaire included items concerning their own smoking habits, their knowledge about effects of smoking on health, and their attitude toward prevention and cessation in a dental setting. RESULTS: Seven hundred and thirty dental students participated in this survey; 21% of the participating students were smokers. Their knowledge about smoking-related diseases was widespread. Some diseases were rarely known (only in 34% of students) and others were well known (in 99% of the students). Knowledge about health risks of e-cigarettes was low. About 30% of the participating students felt competent to encourage and support patients in cessation strategies; 2 out of 3 students were willing to improve their knowledge in that area. More than 85% confirmed that advice for smoking cessation should be one of the tasks of a dentist. CONCLUSIONS: Smoking is common among dental students, their knowledge about smoking-related health risks is moderate, and self-perceived smoking cessation skills are poor. More emphasis should be placed on education regarding smoking prevention and cessation methods.

Effectiveness of an innovative and interactive smoking cessation training module for dental students: A prospective study.

BACKGROUND: Smoking is one of the world's major health problems and dental professionals are in a unique position to promote smoking cessation. However, according to the current literature, neither dental students nor dentists feel adequately prepared to counsel smokers. The purpose of this study was to develop and implement a teaching intervention on smoking cessation for fourth-year dental students and assess its effectiveness in terms of learning outcome on knowledge, communication skills and attitudes. MATERIALS AND METHODS: In this prospective intervention study, students in the intervention group (n = 28) participated in a teaching module consisting of a podcast, an interactive lecture, a seminar, and small-group sessions with role-play interactions. Knowledge, communication skills and attitudes were measured using written examinations and an objective structured clinical examination (OSCE) at the end of the module and 6 months later. Results were compared with data from a historical control group (n = 27) receiving standard teaching. RESULTS: Compared with the control group, students in the intervention group had higher scores in the knowledge test (67.1% vs 41.8%; P < .001; d = 2.8) as well as in the OSCE (74.9% vs 44.7%; P < .001; d = 2.3) and also retained more knowledge (52.7% vs 36.5%; P < .001; d = 2.0) and skills (71.8% vs 47.6%; P < .001; d = 2.5) over a period of 6 months. Attitudes were similar across groups and time-points. CONCLUSION: The teaching intervention equipped dental students with specific knowledge and skills required to effectively counsel smoking patients. Further research is required to assess the transfer of these skills to the clinical setting.

Effectiveness of training general practitioners to improve the implementation of brief stop-smoking advice in German primary care: study protocol of a pragmatic, 2-arm cluster randomised controlled trial (the ABCII trial).

BACKGROUND: The German clinical guideline on tobacco addiction recommends that general practitioners (GPs) provide brief stop-smoking advice to their patients according to the "5A" or the much briefer "ABC" method, but its implementation is insufficient. A lack of training is one barrier for GPs to provide such advice. Moreover, the respective effectiveness of a 5A or ABC training regarding subsequent delivery of stop-smoking advice has not been investigated. We developed a training for GPs according to both methods, and conducted a pilot study with process evaluation to optimize the trainings according to the needs of GPs. This study aims at evaluating the effectiveness of both trainings. METHODS: A pragmatic 2-arm cluster randomised controlled trial with a pre-post data collection will be conducted in 48 GP practices in North Rhine-Westphalia (Germany). GPs will be randomised to receive a 3.5-h-training in delivering either 5A or ABC, including peer coaching and intensive role plays with professional actors. The patient-reported primary outcome (receipt of GP advice to quit: yes/no) and secondary outcomes (recommendation rates of smoking cessation treatments, group comparison (5A versus ABC): receipt of GP advice to quit) will be collected in smoking patients routinely consulting their GP within 4 weeks prior, and 4 weeks following the training. Additional secondary outcomes will be collected at 4, 12 and 26 weeks following the consultation: use of cessation treatments during the last quit attempt (if so) since the GP consultation, and point-prevalence abstinence rates. The primary data analysis will be conducted using a mixed-effects logistic regression model with random effects for the cluster variable. DISCUSSION: If the training increases the rates of delivery of stop-smoking advice, it would offer a low-threshold strategy for the guideline implementation in German primary care. Should one method prove superior, a more specific guideline recommendation can be proposed. TRIAL REGISTRATION: German Clinical Trials Register (DRKS00012786); registered on 22th August 2017, prior to the first patient in.

How can we teach medical students to choose wisely? A randomised controlled cross-over study of video- versus text-based case scenarios.

BACKGROUND: The Choosing Wisely campaign highlights the importance of clinical reasoning abilities for competent and reflective physicians. The principles of this campaign should be addressed in undergraduate medical education. Recent research suggests that answering questions on important steps in patient management promotes knowledge retention. It is less clear whether increasing the authenticity of educational material by the inclusion of videos further enhances learning outcome. METHODS: In a prospective randomised controlled cross-over study, we assessed whether repeated video-based testing is more effective than repeated text-based testing in training students to choose appropriate diagnostic tests, arrive at correct diagnoses and identify advisable therapies. Following an entry exam, fourth-year undergraduate medical students attended 10 weekly computer-based seminars during which they studied patient case histories. Each case contained five key feature questions (items) on the diagnosis and treatment of the presented patient. Students were randomly allocated to read text cases (control condition) or watch videos (intervention), and assignment to either text or video was switched between groups every week. Using a within-subjects design, student performance on video-based and text-based items was assessed 13 weeks (exit exam) and 9 months (retention test) after the first day of term. The primary outcome was the within-subject difference in performance on video-based and text-based items in the exit exam. RESULTS: Of 125 eligible students, 93 provided data for all three exams (response rate 74.4%). Percent scores were significantly higher for video-based than for text-based items in the exit exam (76.2 ± 19.4% vs. 72.4 ± 19.1%, p = 0.026) but not the retention test (69.2 ± 20.2% vs. 66.4 ± 20.3%, p = 0.108). An additional Bayesian analysis of this retention test suggested that video-based training is marginally more effective than text-based training in the long term (Bayes factor 2.36). Regardless of presentation format, student responses revealed a high prevalence of erroneous beliefs that, if applied to the clinical context, could place patients at risk. CONCLUSION: Repeated video-based key feature testing produces superior short-term learning outcome compared to text-based testing. Given the high prevalence of misconceptions, efforts to improve clinical reasoning training in medical education are warranted. The Choosing Wisely campaign lends itself to being part of this process.

Are smokers who are regularly exposed to e-cigarette use by others more or less motivated to stop or to make a quit attempt? A cross-sectional and longitudinal survey.

BACKGROUND: Concerns have been raised that observing other people using e-cigarettes may undermine motivation to quit by renormalising smoking. This study aimed to explore associations between regular exposure to other people's e-cigarette use and motivation to stop smoking and quit attempts in smokers. METHODS: Data were from 12,787 smokers in England who participated in the Smoking Toolkit Study between November 2014 and May 2018. At baseline, respondents were asked whether anyone other than themselves regularly used an e-cigarette in their presence, whether they had made a quit attempt in the past year and how motivated they were to stop. Data at 6-month follow-up were available for 1580 respondents, who reported on whether they had attempted to quit in the past 6 months. RESULTS: Smokers who reported regular exposure to e-cigarette use by others were more likely than those who did not to have tried to stop smoking in the past year (32.3% vs. 26.8%; unadjusted RR 1.21, 95% CI 1.11-1.31) and have high motivation to quit (16.6% vs. 14.2%; unadjusted RR 1.17, 95% CI 1.05-1.30) but were not significantly more or less likely to make a quit attempt over the subsequent 6 months (34.4% vs. 31.3%; unadjusted RR 1.10, 95% CI 0.88-1.38). In models that adjusted for participants' own current e-cigarette use and unadjusted and adjusted models excluding current e-cigarette users from the sample, there were no significant associations between exposure to e-cigarette use by others and past quit attempts (RR 0.97-1.00), high current motivation to quit (RR 0.97-1.00) or prospective quit attempts (RR 0.94-1.12). In contrast, exposure to use of cigarettes was associated with low motivation to quit even after adjustment (RR 0.89) but not with quit attempts. Participants' own use of e-cigarette was strongly associated with high motivation to quit (RR 1.95) and past quit attempts (RR 2.14) and appeared to account for the bivariate associations with reported exposure to e-cigarettes. CONCLUSION: Smokers who report regular exposure to other people using e-cigarettes are more likely to report past quit attempts and high current motivation to quit, but there does not appear to be an independent association with motivation or quit attempts after adjustment for their own current use of e-cigarettes. In contrast, reported exposure to other people using cigarettes was independently and negatively associated with high motivation.

Post-mortem chemical excitability of the iris should not be used for forensic death time diagnosis.

Post-mortem chemical excitability of the iris is one of the non-temperature-based methods in forensic diagnosis of the time since death. Although several authors reported on their findings, using different measurement methods, currently used time limits are based on a single dissertation which has recently been doubted to be applicable for forensic purpose. We investigated changes in pupil-iris ratio after application of acetylcholine (n = 79) or tropicamide (n = 58) and in controls at upper and lower time limits that are suggested in the current literature, using a digital photography-based measurement method with excellent reliability. We observed "positive," "negative," and "paradox" reactions in both intervention and control conditions at all investigated post-mortem time points, suggesting spontaneous changes in pupil size to be causative for the finding. According to our observations, post-mortem chemical excitability of the iris should not be used in forensic death time estimation, as results may cause false conclusions regarding the correct time point of death and might therefore be strongly misleading.