The benefits, barriers and facilitators of mentoring programs for first-year doctors: A systematic review

INTRODUCTION

The transition from medical student to first-year doctor is notoriously difficult, yielding a high rate of transition failure, burn-out and mental health deterioration. Doctors in this cohort experience unique challenges during this time, which manifest through performance gaps, issues of professional identity, new occupational pressures, and cultural expectations. Mentoring programs are commonly utilised in the medical profession to foster personal and professional development and improve psychosocial well-being and career satisfaction. However, there exist no systematic reviews examining the use of mentorship specifically for the first-year doctor cohort, given the unique transition challenges faced by this vulnerable group.

PURPOSE

Due to their transition difficulties, evaluate the research on mentorship specifically for first-year doctors, and identify the emerging themes that can inform the benefits to this group, the barriers that impede program implementation and the facilitators that contribute to successful mentorship programs for this cohort.

MATERIALS AND METHODS

The PEO (population, exposure outcome) framework was adopted to develop the research inquiry, after which, a systematic review was conducted, adhering to PRISMA guidelines. The search strategy was conducted with assistance from an experienced university librarian. Screening and selection were completed independently against inclusion/exclusion criteria, by two reviewers. The methodological quality of included studies was assessed using Joanna Briggs critical appraisal instruments. Data sources used included Web of Science Medline, Ebsco Cinahl Plus, Scopus, Web of Science Core Collection and Ovid Journals. Search parameters were restricted to English language and peer-reviewed; date range was unobstructed up to 26 August 2022.

RESULTS

A total of 4137 articles were retrieved, with 13 considered to have met full inclusion criteria. An integrative review synthesis identified three major themes; benefits of mentoring for first-year doctors, intrinsic and extrinsic barriers to mentoring programs and facilitating factors that improve successful program implementation.

CONCLUSION

First-year doctors report untenable and highly strenuous working conditions, that result in poor mental health and high attrition rates. Formalised, near-peer, tier mosaic mentoring programs provide significant psychosocial and career benefits to this cohort specifically, bridge the training gap from medical student to first-year doctor and ameliorate patterns of intergenerational bullying, hierarchy and emotional inhibition. However, mentorship is inextricably interrelated to societal-cultural considerations of identity. Mentorship alone cannot overcome endemic cultural challenges within medicine without broader systemic change; however, programs are a valuable option towards positive support for first-year doctors.

Diagnosis and treatment of appendicitis: systematic review and meta-analysis

BACKGROUND

The optimal diagnosis and treatment of appendicitis remains controversial. This systematic review details the evidence and current best practices for the evaluation and management of uncomplicated and complicated appendicitis in adults and children.

METHODS

Eight questions regarding the diagnosis and management of appendicitis were formulated. PubMed, Embase, CINAHL, Cochrane and clinicaltrials.gov/NLM were queried for articles published from 2010 to 2022 with key words related to at least one question. Randomized and non-randomized studies were included. Two reviewers screened each publication for eligibility and then extracted data from eligible studies. Random effects meta-analyses were performed on all quantitative data. The quality of randomized and non-randomized studies was assessed using the Cochrane Risk of Bias 2.0 or Newcastle Ottawa Scale, respectively.

RESULTS

2792 studies were screened and 261 were included. Most had a high risk of bias. Computerized tomography scan yielded the highest sensitivity (> 80%) and specificity (> 93%) in the adult population, although high variability existed. In adults with uncomplicated appendicitis, non-operative management resulted in higher odds of readmission (OR 6.10) and need for operation (OR 20.09), but less time to return to work/school (SMD - 1.78). In pediatric patients with uncomplicated appendicitis, non-operative management also resulted in higher odds of need for operation (OR 38.31). In adult patients with complicated appendicitis, there were higher odds of need for operation following antibiotic treatment only (OR 29.00), while pediatric patients had higher odds of abscess formation (OR 2.23). In pediatric patients undergoing appendectomy for complicated appendicitis, higher risk of reoperation at any time point was observed in patients who had drains placed at the time of operation (RR 2.04).

CONCLUSIONS

This review demonstrates the diagnosis and treatment of appendicitis remains nuanced. A personalized approach and appropriate patient selection remain key to treatment success. Further research on controversies in treatment would be useful for optimal management.

Using Machine Learning to Predict the Diagnosis, Management and Severity of Pediatric Appendicitis

Background: Given the absence of consolidated and standardized international guidelines for managing pediatric appendicitis and the few strictly data-driven studies in this specific, we investigated the use of machine learning (ML) classifiers for predicting the diagnosis, management and severity of appendicitis in children. Materials and Methods: Predictive models were developed and validated on a dataset acquired from 430 children and adolescents aged 0-18 years, based on a range of information encompassing history, clinical examination, laboratory parameters, and abdominal ultrasonography. Logistic regression, random forests, and gradient boosting machines were used for predicting the three target variables. Results: A random forest classifier achieved areas under the precision-recall curve of 0.94, 0.92, and 0.70, respectively, for the diagnosis, management, and severity of appendicitis. We identified smaller subsets of 6, 17, and 18 predictors for each of targets that sufficed to achieve the same performance as the model based on the full set of 38 variables. We used these findings to develop the user-friendly online Appendicitis Prediction Tool for children with suspected appendicitis. Discussion: This pilot study considered the most extensive set of predictor and target variables to date and is the first to simultaneously predict all three targets in children: diagnosis, management, and severity. Moreover, this study presents the first ML model for appendicitis that was deployed as an open access easy-to-use online tool. Conclusion: ML algorithms help to overcome the diagnostic and management challenges posed by appendicitis in children and pave the way toward a more personalized approach to medical decision-making. Further validation studies are needed to develop a finished clinical decision support system.

Does the implementation of a pediatric appendicitis pathway promoting ultrasound work outside of a children's hospital?

BACKGROUND

Efficacy of care pathways for pediatric appendicitis is well established in children's hospitals, but not in community Emergency Departments (EDs).

METHODS

A diagnostic pathway combining the Pediatric Appendicitis Score (PAS) with selective ultrasound was implemented. The charts of 2201 pediatric patients seen at four general EDs before and after implementation were retrospectively reviewed, identifying 611 children seriously considered for appendicitis.

RESULTS

There were no cases of missed appendicitis within the pathway cohort (0/72). Low-PAS children on pathway had fewer computed tomography (CT) scans (0% vs. 21%; p < 0.02). Moderate-PAS patients also had a reduced CT-first rate (2.4% vs. 23%; p < 0.01). However, pathway adoption in 2016 was only 24%. Correct pathway application would have avoided 58 ultrasounds and 17 CTs over three months (annual savings $281,276).

CONCLUSION

A pediatric appendicitis pathway is safe, rules out low suspicion patients without imaging, and is cost effective in a general hospital setting.