scholarly journals Learning from psychiatry summer schools for school leavers

2018 ◽  
Vol 8 (1) ◽  
pp. 2-4
Author(s):  
Dr Iwan Fletcher ◽  
Dr Adam Joiner ◽  
Dr Anneke Muller
Keyword(s):  
Medical School ◽  
Summer School ◽  
Likert Scale ◽  
Free Text ◽  
Text Data ◽  
The Future ◽  
Summer Schools

Background: In the context of the ongoing recruitment crisis in psychiatry, we evaluated what aspects of a school leavers’ psychiatry summer school was beneficial, and what aspects could be improved. We also considered if the summer school influenced interest in a career in psychiatry. Method: Over a three-year period, we collected and analysed Likert-scale and free-text data from a questionnaire given to school leavers at the end of the summer school. Results: School leavers found listening to a patient’s journey to recovery, interaction with doctors at different stages of training, and help with application to medical school most valuable. Feedback about the summer school was generally very positive and of the 38 school leavers involved, 61% stated they would consider a career in psychiatry following attendance. Discussion: Providing a psychiatry summer school for school leavers is a worthwhile opportunity to expose aspiring doctors to psychiatry, potentially enhancing future recruitment. We offer guidance from our learning to those considering running a similar summer school in the future.

scholarly journals Is this the ‘new normal’? A mixed method investigation of young person, parent and clinician experience of online eating disorder treatment during the COVID-19 pandemic

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Catherine Stewart ◽  
Anna Konstantellou ◽  
Fatema Kassamali ◽  
Natalie McLaughlin ◽  
Darren Cutinha ◽  
...  
Keyword(s):  
Eating Disorders ◽  
Eating Disorder ◽  
Young People ◽  
Thematic Analysis ◽  
Mixed Method ◽  
Likert Scale ◽  
Free Text ◽  
Virtual Care ◽  
The Future ◽  
The Impact

Abstract Introduction Prior to the COVID-19 pandemic, research in virtual care for young people with eating disorders was preliminary and implementation rare. This study explored the experience of young people, parents and clinicians when therapy was transitioned to virtual provision as a result of the UK lockdown in March 2020. Methods A mixed-method approach was used in this study. Online questionnaires that included a mixture of rating (Likert scale) and free-text response questions were completed by 53 young people with any eating disorder, 75 parents and 23 clinicians. Questions focused on the experience of online treatment as well as the impact on engagement, perceived treatment efficacy and preferences around treatment mode in the future. Likert scale questions were analysed using a summary approach. Free-text responses were analysed qualitatively using reflexive thematic analysis. Results Responses to rating scale questions indicate satisfaction with treatment, good engagement and ability to manage technology. Young people who had transitioned care, rather than started care virtually in lockdown, rated therapy as less effective. However, individual accounts of experience were more varied. Reflexive thematic analysis of free-text responses identified key themes of 1) Making it work, 2) Home as a therapeutic space, and 3) Disrupted connection and 4) Into the future. Conclusions These results have implications for ongoing care during the pandemic and for future implementation of virtual care in the treatment of young people with eating disorders. Particular issues arising are the trade-off between accessibility and therapeutic engagement and depth and need for consideration of equal access to treatment in socially unequal societies.

scholarly journals Medical Student Experience and Outcomes, as Well as Preceptor Experience, with Rapid Conversion of a Preclinical Medical School Course to a Remote-Based Learning Format in the Setting of the COVID-19 Pandemic

2021 ◽  
Author(s):  
David Grand ◽  
Victor L. Schuster ◽  
James M. Pullman ◽  
Ladan Golestaneh ◽  
Amanda C. Raff
Keyword(s):  
Medical Student ◽  
Medical School ◽  
Likert Scale ◽  
Course Evaluations ◽  
First Year ◽  
Free Text ◽  
Significant Difference ◽  
Remote Setting ◽  
Optimal Group Size ◽  
Rapid Conversion

Abstract Objectives To assess student outcomes and experiences, as well as preceptor experiences, after emergently converting a preclinical medical school renal course to a remote setting during the COVID-19 pandemic. Methods First-year medical student examination scores and responses to Likert-scale questions on end-of-course evaluations from the 2018–2019 (traditional) and 2019–2020 (remote) academic years were compared. Free-text responses from students and preceptors were analyzed using a qualitative summative approach to extract major themes in perceptions of remote learning. Results Mean student scores on course examinations did not significantly differ between the traditional and remote settings (p = 0.23 and 0.84 respectively). Quantitative analysis of student evaluations revealed no significant difference across all items in mean Likert-scale responses. Student and preceptor free-text responses identified course leader engagement and responsiveness as essential to the success of remote-based learning. Optimal group size and online etiquette are areas that require attention. Conclusions Despite rapid conversion of a preclinical medical school renal course to a remote-based format in the setting of the COVID-19 pandemic, student scores and evaluations remain positive and largely unchanged.

A Numerically Coded File of Operative Procedures Derived from a Free Text Data Collection System : A Measure of the Accuracy

1976 ◽  
Vol 15 (01) ◽  
pp. 21-28 ◽  
Author(s):  
Carmen A. Scudiero ◽  
Ruth L. Wong
Keyword(s):  
Data Collection ◽  
Pap Smear ◽  
Operative Procedures ◽  
Free Text ◽  
Collection System ◽  
Process Data ◽  
Text Data ◽  
Data Collection System ◽  
History Of ◽  
Correlation System

A free text data collection system has been developed at the University of Illinois utilizing single word, syntax free dictionary lookup to process data for retrieval. The source document for the system is the Surgical Pathology Request and Report form. To date 12,653 documents have been entered into the system.The free text data was used to create an IRS (Information Retrieval System) database. A program to interrogate this database has been developed to numerically coded operative procedures. A total of 16,519 procedures records were generated. One and nine tenths percent of the procedures could not be fitted into any procedures category; 6.1% could not be specifically coded, while 92% were coded into specific categories. A system of PL/1 programs has been developed to facilitate manual editing of these records, which can be performed in a reasonable length of time (1 week). This manual check reveals that these 92% were coded with precision = 0.931 and recall = 0.924. Correction of the readily correctable errors could improve these figures to precision = 0.977 and recall = 0.987. Syntax errors were relatively unimportant in the overall coding process, but did introduce significant error in some categories, such as when right-left-bilateral distinction was attempted.The coded file that has been constructed will be used as an input file to a gynecological disease/PAP smear correlation system. The outputs of this system will include retrospective information on the natural history of selected diseases and a patient log providing information to the clinician on patient follow-up.Thus a free text data collection system can be utilized to produce numerically coded files of reasonable accuracy. Further, these files can be used as a source of useful information both for the clinician and for the medical researcher.

Quantifying empathy levels among UK undergraduate medical students: an online survey

2020 ◽  
Vol 70 (suppl 1) ◽  
pp. bjgp20X711293
Author(s):  
Sarah Garnett ◽  
Hajira Dambha-Miller ◽  
Beth Stuart
Keyword(s):  
Medical Students ◽  
Health Outcomes ◽  
Medical School ◽  
Curriculum Design ◽  
Online Survey ◽  
Mental Wellbeing ◽  
Reactivity Index ◽  
Free Text ◽  
Undergraduate Medical Students ◽  
Cross Sectional

BackgroundEmpathy is a key health care concept and refers to care that incorporates understanding of patient perspective’s, shared decision making, and consideration of the broader context in which illness is experience. Evidence suggests experiences of doctor empathy correlate with improved health outcomes and patient satisfaction. It has also been linked to job satisfaction, and mental wellbeing for doctors. To date, there is a paucity of evidence on empathy levels among medical students. This is critical to understand given that it is a key point at which perceptions and practices of empathy in the longer term might be formed.AimTo quantify the level of empathy among UK undergraduate medical studentsMethodAn anonymised cross-sectional online survey was distributed to medical students across three universities. The previously validated Davis’s Interpersonal Reactivity Index was used to quantify empathy. The survey also collected information on age, sex, ethnicity, year of medical school training and included a free-text box for ‘any other comments’.ResultsData analysis is currently underway with high response rates. Mean empathy scores by age, sex, year of study and ethnic group are presented. A correlation analysis will examine associations between age and year of study, and mean empathy sores.ConclusionThese data will help to provide a better understanding of empathy levels to inform the provision of future empathy training and medical school curriculum design. Given previous evidence linking experiences of empathy to better health outcomes, the findings may also be significant to future patient care

scholarly journals Predicting adult neuroscience intensive care unit admission from emergency department triage using a retrospective, tabular-free text machine learning approach

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Eyal Klang ◽  
Benjamin R. Kummer ◽  
Neha S. Dangayach ◽  
Amy Zhong ◽  
M. Arash Kia ◽  
...  
Keyword(s):  
Machine Learning ◽  
Intensive Care Unit ◽  
Emergency Department ◽  
Intensive Care ◽  
Learning Model ◽  
Free Text ◽  
Combined Model ◽  
Text Data ◽  
Machine Learning Model ◽  
Record Data

AbstractEarly admission to the neurosciences intensive care unit (NSICU) is associated with improved patient outcomes. Natural language processing offers new possibilities for mining free text in electronic health record data. We sought to develop a machine learning model using both tabular and free text data to identify patients requiring NSICU admission shortly after arrival to the emergency department (ED). We conducted a single-center, retrospective cohort study of adult patients at the Mount Sinai Hospital, an academic medical center in New York City. All patients presenting to our institutional ED between January 2014 and December 2018 were included. Structured (tabular) demographic, clinical, bed movement record data, and free text data from triage notes were extracted from our institutional data warehouse. A machine learning model was trained to predict likelihood of NSICU admission at 30 min from arrival to the ED. We identified 412,858 patients presenting to the ED over the study period, of whom 1900 (0.5%) were admitted to the NSICU. The daily median number of ED presentations was 231 (IQR 200–256) and the median time from ED presentation to the decision for NSICU admission was 169 min (IQR 80–324). A model trained only with text data had an area under the receiver-operating curve (AUC) of 0.90 (95% confidence interval (CI) 0.87–0.91). A structured data-only model had an AUC of 0.92 (95% CI 0.91–0.94). A combined model trained on structured and text data had an AUC of 0.93 (95% CI 0.92–0.95). At a false positive rate of 1:100 (99% specificity), the combined model was 58% sensitive for identifying NSICU admission. A machine learning model using structured and free text data can predict NSICU admission soon after ED arrival. This may potentially improve ED and NSICU resource allocation. Further studies should validate our findings.

The Resident in the Non-university Hospital

PEDIATRICS ◽  
1962 ◽  
Vol 29 (4) ◽  
pp. 678-679
Author(s):  
H. William Fink
Keyword(s):  
Medical Students ◽  
Medical School ◽  
University Hospital ◽  
Community Hospitals ◽  
University Hospitals ◽  
Pediatric Practice ◽  
The Future

I write with concern for the future of good community hospitals with qualified attending pediatricians and plenty of patient material but no residents. In the ever-increasing competition for residents, such hospitals are slowly being strangled by the more fortunate university hospitals with their access to medical students and interns. I fear that the ultimate consequences will be the downgrading of pediatric practice throughout the county in those areas where there is not a medical school.

An Analysis of Congestion During Running Events from the Perspective of Runners: Prevalence, Impact on Safety and Satisfaction, and Preferred Controls

2021 ◽  
Author(s):  
Sean Peckover ◽  
Aldo Raineri ◽  
Aaron T Scanlan
Keyword(s):  
Decision Making ◽  
Survey Data ◽  
Injury Risk ◽  
Likert Scale ◽  
Electronic Survey ◽  
Safety Concerns ◽  
The Future ◽  
Decision Making Processes ◽  
Cross Country ◽  
The Impact

This study aimed to examine the views of runners regarding their experiences with congestion during running events, including its prevalence, its impact on their safety and satisfaction, and their preferred controls to mitigate congestion. Runners (n = 222) with varied experience participating in running events (1-5+ years, 5-km races to Ultramarathons, and a mixture of road, trail, and cross-country events) completed an electronic survey. The survey was developed to assess the characteristics of respondents, whether they have experienced congestion during running events, the impact of congestion they have experienced during running events on their safety and satisfaction, and their preferred controls for congestion during running events. Survey data indicated runners had experienced some form of congestion prior to the race in the start corrals (93% of respondents), as the race started (97% of respondents), and during the race while running (88% of respondents). In turn, 73% of respondents indicated their experiences with congestion somewhat to extremely (i.e., rating of at least 3 on a 5-point Likert scale) negatively impacted their satisfaction with an event, while 43% of respondents indicated congestion somewhat to extremely negatively impacted their safety during an event. Regarding the impact of congestion on runner safety, 38% of respondents indicated they had slipped, while 27% of respondents indicated they had fallen during running events due to congestion. Further, congestion was attributed to injuries sustained (9%) and not finishing a race due to sustaining an injury (5%) during running events in some respondents. Respondents identified seeding runners based on previous run times (91%), use of wave starts (91%), and designing courses with limited pinch points, U-turns, and narrow paths (89%) as their most preferred controls to mitigate congestion during running events. Respondents resoundingly indicated self-seeding is not an effective method of managing congestion during running events. This study provides novel evidence that congestion is an issue for runners during running events, subsequently diminishing their satisfaction with events and posing safety concerns. In this way, race directors should involve runners in their decision-making processes when implementing appropriate controls to combat congestion for minimising injury risk to runners and ensuring a viable participant base remains attracted to their events in the future.

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