Search

Yoshinori Tokushima,1,2 Masaki Tago,1,2 Midori Tokushima,1,3 Shun Yamashita,1 Yuka Hirakawa,1 Hidetoshi Aihara,1 Naoko E Katsuki,1 Motoshi Fujiwara,1 Shu-ichi Yamashita1 1Department of General Medicine, Saga University Hospital, Saga, Japan; 2Community Medical Support Institute, Faculty of Medicine, Saga University, Saga, Japan; 3Saga Medical Career Support Center, Saga University Hospital, Saga, JapanCorrespondence: Masaki Tago, Department of General Medicine, Saga University Hospital, 5-1-1 Nabeshima, Saga, 849-8501, Japan, Tel +81 952 34 3238, Fax +81 952 34 2029, Email tagomas@cc.saga-u.ac.jpIntroduction: The educational effects of a hands-on clinical clerkship on medical students at the Department of General medicine of Japanese university hospitals remain to be clarified. This study aimed to determine how such education affects medical students’ self-evaluation of their clinical skills.Methods: We enrolled 5th-year-grade students at the Department of General Medicine, Saga University Hospital, Japan in 2017. The students were divided into those who were going to have Japanese traditional-style observation-based training mainly in the outpatient clinic (Group O) and those in the 2018, new-style, hands-on clinical clerkship as one of the group practice members in outpatient and inpatient clinics (Group H). A questionnaire survey using the 4-point Likert scale for self-evaluation of the students’ clinical skills at the beginning and the end of their training was conducted in both groups. The pre- and post-training scores of each item in both groups were compared and analyzed using the Mann–Whitney test.Results: All 99 students in Group O and 121 of 123 students in Group H answered the questionnaires. The response rate was 99%. Two items regarding the abilities of “can perform a systemic physical examination quickly and efficiently” and “can clearly explain the current medical condition, therapeutic options, or risks associated with treatment, and discuss the process for obtaining informed consent” showed higher scores in the post-training survey in Group H than in Group O. There were no differences in these scores in the pre-training survey between the two groups.Conclusion: A hands-on clinical clerkship at the Department of General medicine in a university hospital in Japan provided medical students with higher self-confidence in their skills of performing a physical examination and better understanding of patients’ treatment options and the process of informed consent than observation-based training.Keywords: general medicine, hands-on clinical clerkship, medical education, observation-based training

Risa Hirata,1 Masaki Tago,1 Naoko E Katsuki,1 Yoshimasa Oda,2 Midori Tokushima,1 Yoshinori Tokushima,1 Yuka Hirakawa,1 Shun Yamashita,1 Hidetoshi Aihara,1 Motoshi Fujiwara,1 Shu-ichi Yamashita1 1Department of General Medicine, Saga University Hospital, Saga, Japan; 2Department of General Medicine, Yuai-Kai Foundation and Oda Hospital, Saga, JapanCorrespondence: Masaki Tago, Department of General Medicine, Saga University Hospital, 5-1-1 Nabeshima, Saga, 849-8501, Japan, Tel +81-952-34-3238, Fax +81-952-34-2029, Email tagomas@cc.saga-u.ac.jpIntroduction: In our former study, we had validated the previously developed predictive model for in-hospital falls (Saga fall risk model) using eight simple factors (age, sex, emergency admission, department of admission, use of hypnotic medications, history of falls, independence of eating, and Bedriddenness ranks [BRs]), proving its high reliability. We found that only admission to the neurosurgery department, history of falls, and BRs had significant relationships with falls. In the present study, we aimed to clarify whether each of these three items had a significant relationship with falls in a different group of patients.Methods: This was a single-center based, retrospective study in an acute care hospital in a rural city of Japan. We enrolled all inpatients aged 20 years or older admitted from April 2015 to March 2018. We randomly selected patients to fulfill the required sample size. We performed multivariable logistic regression analysis using forced entry on the association between falls and each of the eight items in the Saga fall risk model 2.Results: A total of 2932 patients were randomly selected, of whom 95 (3.2%) fell. The median age was 79 years, and 49.9% were men. Multivariable analysis showed that female sex (odds ratio [OR] 0.6, 95% confidence interval [CI] 0.39– 0.93, p = 0.022), having a history of falls (OR 1.9, 95% CI 1.16– 2.99, p = 0.010), requiring help with eating (OR 1.9, 95% CI 1.12– 3.35, p = 0.019), BR of A (OR 6.6, 95% CI 2.82– 15.30, p < 0.001), BR of B (OR 7.5, 95% CI 2.95– 19.06, p < 0.001), and BR of C (OR 4.1, 95% CI 1.53– 11.04, p = 0.005) were significantly associated with falls.Conclusion: History of falls and BRs were independently associated with in-hospital falls.Keywords: bedridden, Bedriddenness ranks, fall, predictive model, validation, Saga fall risk model 2

Shun Yamashita, Masaki Tago, So Motomura, Satsuki Oie, Hidetoshi Aihara, Naoko E Katsuki, Shu-ichi Yamashita Department of General Medicine, Saga University Hospital, Saga, JapanCorrespondence: Shun YamashitaDepartment of General Medicine, Saga University Hospital, 5-1-1 Nabeshima, Saga, 849-8501, JapanTel +81952343238Fax +81952342029Email sy.hospitalist.japan@gmail.comPurpose: Infective endocarditis (IE) may be diagnosed as fever of unknown origin due to its delusively non-descriptive clinical features, especially in outpatient clinics. Our objective is to develop a prediction model to discriminate patients to be diagnosed as “definite” IE from “non-definite” by modified Duke criteria among patients with undiagnosed fever, using only history and results of physical examinations and common laboratory examinations.Patients and Methods: The study was a single-center case–control study. Inpatients at Saga University Hospital diagnosed with IE from 2007 to 2017 and patients with undiagnosed fever from 2015 to 2017 were enrolled. Patients diagnosed with definite IE according to the modified Duke criteria, except those definitely diagnosed with other disorders responsible for fever, were allocated to the IE group. Patients without IE among those defined as non-definite according to the modified Duke criteria were allocated to the undiagnosed fever group. We developed a prediction model to pick up patients who would be “definite” by modified Duke criteria, which was subsequently assessed by area under the curve (AUC).Results: A total of 144 adult patients were included. Of these, 59 patients comprised the IE group. We developed the prediction model using five indicators, including transfer by ambulance, cardiac murmur, pleural effusion, neutrophil count, and platelet count, with a sensitivity 84.7%, a specificity 84.7%, an AUC 0.893 (95% confidence interval 0.828– 0.959), a shrinkage coefficient 0.635, and a stratum-specific likelihood ratio 0.2– 50.4.Conclusion: Our prediction model, which uses only indicators easy to gain, facilitates prediction of patients with IE. These indicators can be acquired even at common hospitals and clinics, without requiring advanced medical equipment or invasive examinations.Trial Registration Number: UMIN000041344.Keywords: infective endocarditis, undiagnosed fever, case–control study, prediction model, area under the curve