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Masaki Tago,1 Risa Hirata,1 Naoko E Katsuki,1 Eiji Nakatani,2 Midori Tokushima,1 Tomoyo Nishi,1 Hitomi Shimada,3 Shizuka Yaita,1 Chihiro Saito,4 Kaori Amari,5 Kazuya Kurogi,6 Yoshimasa Oda,7 Kiyoshi Shikino,8,9 Maiko Ono,10 Mariko Yoshimura,11 Shun Yamashita,1 Yoshinori Tokushima,1 Hidetoshi Aihara,1 Motoshi Fujiwara,1 Shu-ichi Yamashita1 1Department of General Medicine, Saga University Hospital, Saga, Japan; 2Graduate School of Public Health, Shizuoka Graduate University of Public Health, Shizuoka, Japan; 3Shimada Hospital of Medical Corporation Chouseikai, Saga, Japan; 4Shizuoka General Hospital, Shizuoka, Japan; 5Department of Emergency Medicine, Saga-Ken Medical Centre Koseikan, Saga, Japan; 6Department of General Medicine, National Hospital Organization Ureshino Medical Center, Saga, Japan; 7Department of General Medicine, Yuai-Kai Foundation and Oda Hospital, Saga, Japan; 8Department of General Medicine, Chiba University Hospital, Chiba, Japan; 9Department of Community-Oriented Medical Education, Chiba University Graduate School of Medicine, Chiba, Japan; 10Department of General Medicine, Karatsu Municipal Hospital, Saga, Japan; 11Safety Management Section, 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.jpPurpose: We conducted a pilot study in an acute care hospital and developed the Saga Fall Risk Model 2 (SFRM2), a fall prediction model comprising eight items: Bedriddenness rank, age, sex, emergency admission, admission to the neurosurgery department, history of falls, independence of eating, and use of hypnotics. The external validation results from the two hospitals showed that the area under the curve (AUC) of SFRM2 may be lower in other facilities. This study aimed to validate the accuracy of SFRM2 using data from eight hospitals, including chronic care hospitals, and adj

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 disc

Masaki Tago,1 Kiyoshi Shikino,2 Risa Hirata,1 Takashi Watari,3 Shun Yamashita,1 Yoshinori Tokushima,1 Midori Tokushima,1 Hidetoshi Aihara,1 Naoko E Katsuki,1 Motoshi Fujiwara,1 Shu-ichi Yamashita1 1Department of General Medicine, Saga University Hospital, Saga, Japan; 2Department of General Medicine, Chiba University Hospital, Chiba, Japan; 3General Medicine Center, Shimane University Hospital, Shimane, JapanCorrespondence: Masaki Tago, Department of General Medicine, Saga University Hospital, 5-1-1 Nabeshima, Saga, 849-8501, Japan, Email tagomas@cc.saga-u.ac.jpBackground: It is unclear how much effort Japanese university general medicine (GM) departments, which teach basic medical skills and have a high affinity for clinical practice, devote to medical education, particularly undergraduate education. This study aimed to clarify the contribution of GM departments of Japanese universities to medical education.Patients and Methods: This was a questionnaire-based descriptive study of GM departments of Japanese universities. We sent the questionnaire created using Google Forms by email, and the universities responded by Internet. The department chairperson of the universities’ main hospital was responsible for completing the questionnaire. It covered the number of staff, inpatients over the previous 3 years, affiliated hospitals, classroom lectures, and practical training sessions per year for each academic year in medical faculty and students accepted for clinical clerkship. Items also included the effort for clinical training, research, and education and the effort for undergraduate, initial clinical residency, and specialty program training.Results: In all, 46 of 71 universities responded, and we included 43 in our analysis. The median number of medical staff was 7; the median number of inpatients over the previous 3 years was 76. The median number of classroom lectures of the GM department was 1 for 1st-year, 5 for 3rd-year, 9 for 4th-year, and 0 for 2nd-, 5th-, a

Shun Yamashita,1 Masaki Tago,1 Midori Tokushima,2 Sei Emura,2 Shu-Ichi Yamashita1 1Department of General Medicine, Saga University Hospital, Saga, Japan; 2Saga Medical Career Support Center, Saga University Hospital, Saga, JapanCorrespondence: Shun Yamashita, Department of General Medicine, Saga University Hospital, 5-1-1 Nabeshima, Saga, 849-8501, Japan, Tel +81952343238, Fax +81952342029, Email sy.hospitalist.japan@gmail.comPurpose: Many countries will be aged societies by 2060. As a super-aged society, Japan may offer a valuable reference point. The number of medical residents and doctors working at university hospitals in Japan has halved since 2004, resulting in serious shortages of doctors in rural areas. This study clarified factors influencing medical students to choose university hospitals as facilities for their initial training or to only choose community hospitals.Methods: This single-center cross-sectional study was conducted in a typical rural city in Japan from February to March 2021. Data were collected using a questionnaire developed from a narrative review and discussion among four researchers. The participants were divided into those who chose university hospitals and those chose only community hospitals for logistic regression analysis.Results: Of the 300 students who answered the questionnaire (46.4% response rate), 291 agreed to participate in the study. At the time, 93 students had not decided where to undertake initial training, and were excluded. Of the 198 analyzed students, 113 (57.1%) had chosen university hospitals. Significant factors affecting students’ choices were “good salary or fringe benefits” (odds ratio [OR] 2.6, 95% confidence interval [CI]: 1.3– 5.2) in the community hospital group, and “desire to have contact with doctors practicing in a medical setting before starting hospital training in the fifth and sixth grade” (OR 0.4, 95% CI: 0.2– 0.8) and “prefer Saga Prefecture for initial training” (OR 0.2, 95% CI

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 =

Takashi Watari,1,2,* Masaki Tago,3,* Kiyoshi Shikino,4 Shun Yamashita,3 Naoko E Katsuki,3 Motoshi Fujiwara,3 Shu-ichi Yamashita3 1General Medicine Center, Shimane University Hospital, Shimane, Japan; 2Master of Healthcare Quality and Patient Safety, Harvard Medical School, Boston, MA, USA; 3Department of General Medicine, Saga University Hospital, Saga, Japan; 4Department of General Medicine, Chiba University Hospital, Chiba, Japan*These authors contributed equally to this workCorrespondence: Masaki TagoDepartment of General Medicine, Saga University Hospital, 5-1-1 Nabeshima, Saga, 849-8501, JapanTel +81 952 34 3238Fax +81 952 34 2029Email tagomas@cc.saga-u.ac.jpPurpose: The training of generalist physicians in university hospitals needs to emphasize development of their research role in order to continue improving their research capacity and their standing in academic hospitals in Japan. This cross-sectional descriptive study aimed to survey departments of general medicine (GM) in university hospitals in Japan to identify the research areas and themes pursued by academic generalist physicians.Patients and Methods: The heads of the departments of GM from 71 university hospitals in Japan were enrolled. The main outcomes studied were the identification of the main research areas and themes in academic departments of GM, based on the classification of the National Grants-in-Aid for Scientific Research (KAKENHI): clinical research, public health, preventive medicine, medical education, basic science, health services and safety and quality.Results: We received 47 of 71 replies (66.2% response rate). Clinical research was the most common area of research (62%), followed by public health and preventive medicine (14%), medical education (11%), and basic sciences (9%). Only one department identified health services and safety and quality as a research area (2%). There was marked variability in research areas across the different departments, with 23% of the research targeti

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.Con

Tokushima Y, Tago M, Tokushima M, et al. Int J Gen Med. 2020;13:743—750. The authors have advised there are errors in Table 1 on page 746 in the Hbs-Ag positive patients’ data. The errors were introduced during the creation of the Table. The correct Table 1 is shown below: The errors were only in the patients’ background and do not affect the main results (consultation rate, comparison of RF and non-RF groups), discussion, or conclusion of the paper. The authors apologize for these errors. Read the original article