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52. The need for detailed study of course credit earned and the comprehension of material by college students as a result of major changes in university course formats due to COVID-19 and actions based on those findings

Author

Fujita, Yasuyuki, primary, Inoue, Ken, additional, Kawano, Noriyuki, additional, Noso, Yoshihiro, additional, Chaizhunusova, Nailya, additional, Ospanova, Nargul, additional, Seksenbayev, Nursultan, additional, Moldagaliyev, Timur, additional, Tokesheva, Aigul, additional, Zhunussov, Yersin T., additional, Takeichi, Nobuo, additional, Hoshi, Masaharu, additional, and Ohira, Yoshiyuki, additional

Published
2021
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57. Early detection of excessive stress in people due to the ongoing COVID-19 pandemic: studies including those using biological markers

Author

Fujita, Yasuyuki, primary, Inoue, Ken, additional, Seksenbayev, Nursultan, additional, Chaizhunusova, Nailya, additional, Hoshi, Masaharu, additional, Kawano, Noriyuki, additional, Takeichi, Nobuo, additional, Moldagaliyev, Timur, additional, Ospanova, Nargul, additional, Tokesheva, Aigul, additional, Zhunussov, Yersin T., additional, Noso, Yoshihiro, additional, and Ohira, Yoshiyuki, additional

Published
2021
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60. Japan COVID-19 Task Force: a nation-wide consortium to elucidate host genetics of COVID-19 pandemic in Japan

Author

Namkoong, Ho, primary, Edahiro, Ryuya, additional, Fukunaga, Koichi, additional, Shirai, Yuya, additional, Sonehara, Kyuto, additional, Tanaka, Hiromu, additional, Lee, Ho, additional, Hasegawa, Takanori, additional, Kanai, Masahiro, additional, Naito, Tatsuhiko, additional, Yamamoto, Kenichi, additional, Saiki, Ryunosuke, additional, Hyugaji, Takayoshi, additional, Shimizu, Eigo, additional, Katayama, Kotoe, additional, Takahashi, Kazuhisa, additional, Harada, Norihiro, additional, Naito, Toshio, additional, Hiki, Makoto, additional, Matsushita, Yasushi, additional, Takagi, Haruhi, additional, Aoki, Ryousuke, additional, Nakamura, Ai, additional, Harada, Sonoko, additional, Sasano, Hitoshi, additional, Kabata, Hiroki, additional, Masaki, Katsunori, additional, Kamata, Hirofumi, additional, Ikemura, Shinnosuke, additional, Chubachi, Shotaro, additional, Okamori, Satoshi, additional, Terai, Hideki, additional, Morita, Atsuho, additional, Asakura, Takanori, additional, Sasaki, Junichi, additional, Morisaki, Hiroshi, additional, Uwamino, Yoshifumi, additional, Nanki, Kosaku, additional, Mikami, Yohei, additional, Uchida, Sho, additional, Uno, Shunsuke, additional, Ishihara, Rino, additional, Matsubara, Yuta, additional, Nishimura, Tomoyasu, additional, Ogawa, Takanori, additional, Ishiguro, Takashi, additional, Isono, Taisuke, additional, Shibata, Shun, additional, Matsui, Yuma, additional, Hosoda, Chiaki, additional, Takano, Kenji, additional, Nishida, Takashi, additional, Kobayashi, Yoichi, additional, Takaku, Yotaro, additional, Takayanagi, Noboru, additional, Ueda, Soichiro, additional, Tada, Ai, additional, Miyawaki, Masayoshi, additional, Yamamoto, Masaomi, additional, Yoshida, Eriko, additional, Hayashi, Reina, additional, Nagasaka, Tomoki, additional, Arai, Sawako, additional, Kaneko, Yutaro, additional, Sasaki, Kana, additional, Tagaya, Etsuko, additional, Kawana, Masatoshi, additional, Arimura, Ken, additional, Takahashi, Kunihiko, additional, Anzai, Tatsuhiko, additional, Ito, Satoshi, additional, Endo, Akifumi, additional, Uchimura, Yuji, additional, Miyazaki, Yasunari, additional, Honda, Takayuki, additional, Tateishi, Tomoya, additional, Tohda, Shuji, additional, Ichimura, Naoya, additional, Sonobe, Kazunari, additional, Sassa, Chihiro, additional, Nakajima, Jun, additional, Nakano, Yasushi, additional, Nakajima, Yukiko, additional, Anan, Ryusuke, additional, Arai, Ryosuke, additional, Kurihara, Yuko, additional, Harada, Yuko, additional, Nishio, Kazumi, additional, Ueda, Tetsuya, additional, Azuma, Masanori, additional, Saito, Ryuichi, additional, Sado, Toshikatsu, additional, Miyazaki, Yoshimune, additional, Sato, Ryuichi, additional, Haruta, Yuki, additional, Nagasaki, Tadao, additional, Yasui, Yoshinori, additional, Hasegawa, Yoshinori, additional, Mutoh, Yoshikazu, additional, Sato, Tomonori, additional, Takei, Reoto, additional, Hagimoto, Satoshi, additional, Noguchi, Yoichiro, additional, Yamano, Yasuhiko, additional, Sasano, Hajime, additional, Ota, Sho, additional, Nakamori, Yasushi, additional, Yoshiya, Kazuhisa, additional, Saito, Fukuki, additional, Yoshihara, Tomoyuki, additional, Wada, Daiki, additional, Iwamura, Hiromu, additional, Kanayama, Syuji, additional, Maruyama, Shuhei, additional, Yoshiyama, Takashi, additional, Ohta, Ken, additional, Kokuto, Hiroyuki, additional, Ogata, Hideo, additional, Tanaka, Yoshiaki, additional, Arakawa, Kenichi, additional, Shimoda, Masafumi, additional, Osawa, Takeshi, additional, Tateno, Hiroki, additional, Hase, Isano, additional, Yoshida, Shuichi, additional, Suzuki, Shoji, additional, Kawada, Miki, additional, Horinouchi, Hirohisa, additional, Saito, Fumitake, additional, Mitamura, Keiko, additional, Hagihara, Masao, additional, Ochi, Junichi, additional, Uchida, Tomoyuki, additional, Baba, Rie, additional, Arai, Daisuke, additional, Ogura, Takayuki, additional, Takahashi, Hidenori, additional, Hagiwara, Shigehiro, additional, Nagao, Genta, additional, Konishi, Shunichiro, additional, Nakachi, Ichiro, additional, Murakami, Koji, additional, Yamada, Mitsuhiro, additional, Sugiura, Hisatoshi, additional, Sano, Hirohito, additional, Matsumoto, Shuichiro, additional, Kimura, Nozomu, additional, Ono, Yoshinao, additional, Baba, Hiroaki, additional, Suzuki, Yusuke, additional, Nakayama, Sohei, additional, Masuzawa, Keita, additional, Namba, Shinichi, additional, Suzuki, Ken, additional, Hizawa, Nobuyuki, additional, Shiroyama, Takayuki, additional, Miyawaki, Satoru, additional, Kawamura, Yusuke, additional, Nakayama, Akiyoshi, additional, Matsuo, Hirotaka, additional, Maeda, Yuichi, additional, Nii, Takuro, additional, Noda, Yoshimi, additional, Niitsu, Takayuki, additional, Adachi, Yuichi, additional, Enomoto, Takatoshi, additional, Amiya, Saori, additional, Hara, Reina, additional, Kishikawa, Toshihiro, additional, Yamada, Shuhei, additional, Kawabata, Shuhei, additional, Kijima, Noriyuki, additional, Takagaki, Masatoshi, additional, Sasa, Noa, additional, Ueno, Yuya, additional, Suzuki, Motoyuki, additional, Takemoto, Norihiko, additional, Eguchi, Hirotaka, additional, Fukusumi, Takahito, additional, Imai, Takao, additional, Fukushima, Munehisa, additional, Kishima, Haruhiko, additional, Inohara, Hidenori, additional, Tomono, Kazunori, additional, Kato, Kazuto, additional, Takahashi, Meiko, additional, Matsuda, Fumihiko, additional, Hirata, Haruhiko, additional, Takeda, Yoshito, additional, Koh, Hidefumi, additional, Manabe, Tadashi, additional, Funatsu, Yohei, additional, Ito, Fumimaro, additional, Fukui, Takahiro, additional, Shinozuka, Keisuke, additional, Kohashi, Sumiko, additional, Miyazaki, Masatoshi, additional, Shoko, Tomohisa, additional, Kojima, Mitsuaki, additional, Adachi, Tomohiro, additional, Ishikawa, Motonao, additional, Takahashi, Kenichiro, additional, Inoue, Takashi, additional, Hirano, Toshiyuki, additional, Kobayashi, Keigo, additional, Takaoka, Hatsuyo, additional, Watanabe, Kazuyoshi, additional, Miyazawa, Naoki, additional, Kimura, Yasuhiro, additional, Sado, Reiko, additional, Sugimoto, Hideyasu, additional, Kamiya, Akane, additional, Kuwahara, Naota, additional, Fujiwara, Akiko, additional, Matsunaga, Tomohiro, additional, Sato, Yoko, additional, Okada, Takenori, additional, Hirai, Yoshihiro, additional, Kawashima, Hidetoshi, additional, Narita, Atsuya, additional, Niwa, Kazuki, additional, Sekikawa, Yoshiyuki, additional, Nishi, Koichi, additional, Nishitsuji, Masaru, additional, Tani, Mayuko, additional, Suzuki, Junya, additional, Nakatsumi, Hiroki, additional, Ogura, Takashi, additional, Kitamura, Hideya, additional, Hagiwara, Eri, additional, Murohashi, Kota, additional, Okabayashi, Hiroko, additional, Mochimaru, Takao, additional, Nukaga, Shigenari, additional, Satomi, Ryosuke, additional, Oyamada, Yoshitaka, additional, Mori, Nobuaki, additional, Baba, Tomoya, additional, Fukui, Yasutaka, additional, Odate, Mitsuru, additional, Mashimo, Shuko, additional, Makino, Yasushi, additional, Yagi, Kazuma, additional, Hashiguchi, Mizuha, additional, Kagyo, Junko, additional, Shiomi, Tetsuya, additional, Fuke, Satoshi, additional, Saito, Hiroshi, additional, Tsuchida, Tomoya, additional, Fujitani, Shigeki, additional, Takita, Mumon, additional, Morikawa, Daiki, additional, Yoshida, Toru, additional, Izumo, Takehiro, additional, Inomata, Minoru, additional, Kuse, Naoyuki, additional, Awano, Nobuyasu, additional, Tone, Mari, additional, Ito, Akihiro, additional, Nakamura, Yoshihiko, additional, Hoshino, Kota, additional, Maruyama, Junichi, additional, Ishikura, Hiroyasu, additional, Takata, Tohru, additional, Odani, Toshio, additional, Amishima, Masaru, additional, Hattori, Takeshi, additional, Shichinohe, Yasuo, additional, Kagaya, Takashi, additional, Kita, Toshiyuki, additional, Ohta, Kazuhide, additional, Sakagami, Satoru, additional, Koshida, Kiyoshi, additional, Hayashi, Kentaro, additional, Shimizu, Tetsuo, additional, Kozu, Yutaka, additional, Hiranuma, Hisato, additional, Gon, Yasuhiro, additional, Izumi, Namiki, additional, Nagata, Kaoru, additional, Ueda, Ken, additional, Taki, Reiko, additional, Hanada, Satoko, additional, Kawamura, Kodai, additional, Ichikado, Kazuya, additional, Nishiyama, Kenta, additional, Muranaka, Hiroyuki, additional, Nakamura, Kazunori, additional, Hashimoto, Naozumi, additional, Wakahara, Keiko, additional, Koji, Sakamoto, additional, Omote, Norihito, additional, Ando, Akira, additional, Kodama, Nobuhiro, additional, Kaneyama, Yasunari, additional, Maeda, Shunsuke, additional, Kuraki, Takashige, additional, Matsumoto, Takemasa, additional, Yokote, Koutaro, additional, Nakada, Taka-Aki, additional, Abe, Ryuzo, additional, Oshima, Taku, additional, Shimada, Tadanaga, additional, Harada, Masahiro, additional, Takahashi, Takeshi, additional, Ono, Hiroshi, additional, Sakurai, Toshihiro, additional, Shibusawa, Takayuki, additional, Kimizuka, Yoshifumi, additional, Kawana, Akihiko, additional, Sano, Tomoya, additional, Watanabe, Chie, additional, Suematsu, Ryohei, additional, Sageshima, Hisako, additional, Yoshifuji, Ayumi, additional, Ito, Kazuto, additional, Takahashi, Saeko, additional, Ishioka, Kota, additional, Nakamura, Morio, additional, Masuda, Makoto, additional, Wakabayashi, Aya, additional, Watanabe, Hiroki, additional, Ueda, Suguru, additional, Nishikawa, Masanori, additional, Chihara, Yusuke, additional, Takeuchi, Mayumi, additional, Onoi, Keisuke, additional, Shinozuka, Jun, additional, Sueyoshi, Atsushi, additional, Nagasaki, Yoji, additional, Okamoto, Masaki, additional, Ishihara, Sayoko, additional, Shimo, Masatoshi, additional, Tokunaga, Yoshihisa, additional, Kusaka, Yu, additional, Ohba, Takehiko, additional, Isogai, Susumu, additional, Ogawa, Aki, additional, Inoue, Takuya, additional, Fukuyama, Satoru, additional, Eriguchi, Yoshihiro, additional, Yonekawa, Akiko, additional, Kan-o, Keiko, additional, Matsumoto, Koichiro, additional, Kanaoka, Kensuke, additional, Ihara, Shoichi, additional, Komuta, Kiyoshi, additional, Inoue, Yoshiaki, additional, Chiba, Shigeru, additional, Yamagata, Kunihiro, additional, Hiramatsu, Yuji, additional, Kai, Hirayasu, additional, Asano, Koichiro, additional, Oguma, Tsuyoshi, additional, Ito, Yoko, additional, Hashimoto, Satoru, additional, Yamasaki, Masaki, additional, Kasamatsu, Yu, additional, Komase, Yuko, additional, Hida, Naoya, additional, Tsuburai, Takahiro, additional, Oyama, Baku, additional, Takada, Minoru, additional, Kanda, Hidenori, additional, Kitagawa, Yuichiro, additional, Fukuta, Tetsuya, additional, Miyake, Takahito, additional, Yoshida, Shozo, additional, Ogura, Shinji, additional, Abe, Shinji, additional, Kono, Yuta, additional, Togashi, Yuki, additional, Takoi, Hiroyuki, additional, Kikuchi, Ryota, additional, Ogawa, Shinichi, additional, Ogata, Tomouki, additional, Ishihara, Shoichiro, additional, Kanehiro, Arihiko, additional, Ozaki, Shinji, additional, Fuchimo, Yasuko, additional, Wada, Sae, additional, Fujimoto, Nobukazu, additional, Nishiyama, Kei, additional, Terashima, Mariko, additional, Beppu, Satoru, additional, Yoshida, Kosuke, additional, Narumoto, Osamu, additional, Nagai, Hideaki, additional, Ooshima, Nobuharu, additional, Motegi, Mitsuru, additional, Umeda, Akira, additional, Miyagawa, Kazuya, additional, Shimada, Hisato, additional, Endo, Mayu, additional, Ohira, Yoshiyuki, additional, Watanabe, Masafumi, additional, Inoue, Sumito, additional, Igarashi, Akira, additional, Sato, Masamichi, additional, Sagara, Hironori, additional, Tanaka, Akihiko, additional, Ohta, Shin, additional, Kimura, Tomoyuki, additional, Shibata, Yoko, additional, Tanino, Yoshinori, additional, Nikaido, Takefumi, additional, Minemura, Hiroyuki, additional, Sato, Yuki, additional, Yamada, Yuichiro, additional, Hashino, Takuya, additional, Shinoki, Masato, additional, Iwagoe, Hajime, additional, Takahashi, Hiroshi, additional, Fujii, Kazuhiko, additional, Kishi, Hiroto, additional, Kanai, Masayuki, additional, Imamura, Tomonori, additional, Yamashita, Tatsuya, additional, Yatomi, Masakiyo, additional, Maeno, Toshitaka, additional, Hayashi, Shinichi, additional, Takahashi, Mai, additional, Kuramochi, Mizuki, additional, Kamimaki, Isamu, additional, Tominaga, Yoshiteru, additional, Ishii, Tomoo, additional, Utsugi, Mitsuyoshi, additional, Ono, Akihiro, additional, Tanaka, Toru, additional, Kashiwada, Takeru, additional, Fujita, Kazue, additional, Saito, Yoshinobu, additional, Seike, Masahiro, additional, Omae, Yosuke, additional, Nannya, Yasuhito, additional, Ueno, Takafumi, additional, Takano, Tomomi, additional, Katayama, Kazuhiko, additional, Ai, Masumi, additional, Kumanogoh, Atsushi, additional, Sato, Toshiro, additional, Hasegawa, Naoki, additional, Tokunaga, Katsushi, additional, Ishii, Makoto, additional, Koike, Ryuji, additional, Kitagawa, Yuko, additional, Kimura, Akinori, additional, Imoto, Seiya, additional, Miyano, Satoru, additional, Ogawa, Seishi, additional, Kanai, Takanori, additional, and Okada, Yukinori, additional

Published
2021
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63. Do Checklist-Induced Behavioral Changes Improve Self-Confidence in Fundoscopic Examination? A Mixed-Methods Study

Author

Yokokawa,Daiki, Shikino,Kiyoshi, Ikegami,Akiko, Tsukamoto,Tomoko, Noda,Kazutaka, Uehara,Takanori, Ohira,Yoshiyuki, Ikusaka,Masatomi, Yokokawa,Daiki, Shikino,Kiyoshi, Ikegami,Akiko, Tsukamoto,Tomoko, Noda,Kazutaka, Uehara,Takanori, Ohira,Yoshiyuki, and Ikusaka,Masatomi

Abstract

Daiki Yokokawa,1 Kiyoshi Shikino,1 Akiko Ikegami,1 Tomoko Tsukamoto,1 Kazutaka Noda,1 Takanori Uehara,1 Yoshiyuki Ohira,1,2 Masatomi Ikusaka1 1Department of General Medicine, Chiba University Hospital, Chiba, Japan; 2Department of General Medicine, International University of Health and Welfare, School of Medicine, Narita, JapanCorrespondence: Daiki YokokawaDepartment of General Medicine, Chiba University Hospital, 1-8-1 Inohana, Chuo-Ku, Chiba City, Chiba 260-8677, JapanTel/Fax +81 43 224 4758Email dyokokawa6@gmail.comPurpose: Fundoscopic exams are conducted during outpatient consultations to assess intracranial disease and complications from chronic diseases. Low level of confidence in these skills which physicians have is one of the causes that implementation frequency is low. Research has not yet identified specific measures through which the healthcare system may increase the implementation of fundoscopic exams nor a qualitative process that enables physicians to gain confidence in their fundoscopic exam skills. We introduced a checklist and conducted a mixed-methods study.Methods: This study is a before-and-after study, within an embedded-experimental mixed-methods design. We sampled 15 physicians in the department of general medicine at a university hospital assigned to initial consultation. We introduced a checklist to verify whether the fundoscopic exam was implemented. Measures are implementation ratio of the fundoscopic exam to the total number of indication cases, and Visual Analog Scale (VAS) values for the confidence in procedure are measured before and after the intervention. We obtained qualitative data from interviews and used the Modified Grounded Theory Approach.Results: We observed significant increases in the implementation ratio (19.2% (29/151 cases) vs 64.8% (105/162 cases), p< 0.001) and in the VAS value for the confidence (1.89 mm vs 4.68 mm (p< 0.001)). Analysis of the interviews revealed the following. To increase the impleme

Published
2020

65. Feedback of patient survey on medication improves the management of polypharmacy: A pilot trial

Author

Hirose, Yuta, primary, Shikino, Kiyoshi, additional, Ohira, Yoshiyuki, additional, Matsuoka, Sumihide, additional, Mikami, Chihiro, additional, Tsuchiya, Hayami, additional, Yokokawa, Daiki, additional, Ikegami, Akiko, additional, Tsukamoto, Tomoko, additional, Noda, Kazutaka, additional, Uehara, Takanori, additional, and Ikusaka, Masatomi, additional

Published
2021
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68. Changes in university classes as COVID-19 continues and new findings regarding future university instruction methods: from the perspective of Japan and Semey, Republic of Kazakhstan

Author

Inoue, Ken, primary, Seksenbayev, Nursultan, additional, Moldagaliyev, Timur, additional, Takeichi, Nobuo, additional, Noso, Yoshihiro, additional, Sarsembina, Zhannat, additional, Ospanova, Nargul, additional, Takeshita, Haruo, additional, Ohira, Yoshiyuki, additional, Kawano, Noriyuki, additional, and Hoshi, Masaharu, additional

Published
2020
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69. Adequate measures to prevent medical personnel from contracting COVID-19 should be promptly implemented: support from numerous agencies is needed

Author

Inoue, Ken, primary, Seksenbayev, Nursultan, additional, Moldagaliyev, Timur, additional, Noso, Yoshihiro, additional, Takeichi, Nobuo, additional, Ohira, Yoshiyuki, additional, Sarsembina, Zhannat, additional, Ospanova, Nargul, additional, Kawano, Noriyuki, additional, Takeshita, Haruo, additional, and Hoshi, Masaharu, additional

Published
2020
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71. Patient Survey on Polypharmacy in the Clinic and Its Impact on Health Professionals' Management of Polypharmacy: a Before-after Study

Author

Hirose, Yuta, primary, Shikino, Kiyoshi, additional, Ohira, Yoshiyuki, additional, Matsuoka, Sumihide, additional, Mikami, Chihiro, additional, Tsuchiya, Hayami, additional, Yokokawa, Daiki, additional, Ikegami, Akiko, additional, Tsukamoto, Tomoko, additional, Noda, Kazutaka, additional, Uehara, Takanori, additional, and Ikusaka, Masatomi, additional

Published
2020
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76. Relationship between the presence of primary care physicians and health‐related quality of life.

Author

Yokokawa, Daiki, Ohira, Yoshiyuki, Ikegami, Akiko, Shikino, Kiyoshi, Tsukamoto, Tomoko, Noda, Kazutaka, Uehara, Takanori, and Ikusaka, Masatomi

Subjects
PRIMARY care, QUALITY of life, PROPENSITY score matching, PHYSICIANS, HEALTH policy
Abstract

Background: The supply of primary care physicians is associated with better health outcomes and a lower total cost of health services. However, the effect of the presence or absence of primary care physicians on health‐related quality of life (QOL) is unknown. We comparatively investigated the health‐related QOL of ordinary citizens according to the presence or absence of a primary care physician. Methods: We conducted an observational cross‐sectional study using a propensity score analysis. A questionnaire on health‐related QOL (SF‐36v2, age, gender, presence or absence of a primary care physician, and chronic disease status) was mailed to 2200 individuals identified through stratified random sampling. We used propensity scores to compensate for covariates and analyzed three component SF‐36 summary scores and subscale scores of the "primary care physician" and "no primary care physician" groups. Results: Valid responses were received from 1095 individuals (49.8%). The "primary care physician group" comprised 653 individuals (59.6%). The physical health component scores of the "primary care physician group" were significantly lower than those of the "no primary care physician group," and the "mental health component" scores were significantly higher (p = 0.032, p = 0.009). For the subscales, scores for "vitality" and "mental health" were significantly higher in the "primary care physician group" (p = 0.014, p = 0.018). Conclusions: Patients who had a primary care physician with whom they could comfortably consult at any time had a high mental health component score, and low physical health component score in the health‐related QOL. [ABSTRACT FROM AUTHOR]

Published
2022
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77. Usefulness of a short training seminar on how to handle difficult patients in simulated education

Author

Shikino,Kiyoshi, Ito,Shoichi, Ohira,Yoshiyuki, Noda,Kazutaka, Asahina,Mayumi, and Ikusaka,Masatomi

Subjects
education, Advances in Medical Education and Practice
Abstract

Kiyoshi Shikino1,2, Shoichi Ito2,3, Yoshiyuki Ohira,1 Kazutaka Noda,1 Mayumi Asahina2,3, Masatomi Ikusaka1,21Department of General Medicine, Chiba University Hospital, Chiba, Japan; 2Health Professional Development Center, Chiba University Hospital, Chiba, Japan; 3Office of Medical Education, Chiba University Graduate School of Medicine, Chiba, JapanObjective: To evaluate a short-time simulation training seminar on how to handle difficult patients using professional simulated patients (SPs) such as actors.Participants: Sixty-three second-year residents at Chiba University Hospital between 2015 and 2017 who only attended the seminar once.Intervention: The participants were divided into small groups, each of which was assigned a supervisory doctor as facilitator. Those who were playing the doctor’s role enacted a medical interview with an SP. After the interview, the facilitator, the SP, and the observing residents participated in a debriefing while watching a recorded video of the interview.Outcome measures: Pre- and post-seminar questionnaires using a 7-point Likert scale (from 1: strongly disagree to 7: strongly agree) were used to examine the differences in “confidence in ability to handle difficult patients” and “learning motivation to handle difficult patients”. The two items examined by both pre- and post-seminar questionnaires, were analyzed by a paired t-test. The residents were also surveyed on their satisfaction with the seminar, acquisition of new knowledge, and impressions and comments (free-text answers).Results: The findings of the questionnaire showed a significant post-seminar increase in confidence (3.1±1.6 to 4.0±1.5 [p

Published
2019

82. DOCK2is involved in the host genetics and biology of severe COVID-19

Author

Namkoong, Ho, Edahiro, Ryuya, Takano, Tomomi, Nishihara, Hiroshi, Shirai, Yuya, Sonehara, Kyuto, Tanaka, Hiromu, Azekawa, Shuhei, Mikami, Yohei, Lee, Ho, Hasegawa, Takanori, Okudela, Koji, Okuzaki, Daisuke, Motooka, Daisuke, Kanai, Masahiro, Naito, Tatsuhiko, Yamamoto, Kenichi, Wang, Qingbo S., Saiki, Ryunosuke, Ishihara, Rino, Matsubara, Yuta, Hamamoto, Junko, Hayashi, Hiroyuki, Yoshimura, Yukihiro, Tachikawa, Natsuo, Yanagita, Emmy, Hyugaji, Takayoshi, Shimizu, Eigo, Katayama, Kotoe, Kato, Yasuhiro, Morita, Takayoshi, Takahashi, Kazuhisa, Harada, Norihiro, Naito, Toshio, Hiki, Makoto, Matsushita, Yasushi, Takagi, Haruhi, Aoki, Ryousuke, Nakamura, Ai, Harada, Sonoko, Sasano, Hitoshi, Kabata, Hiroki, Masaki, Katsunori, Kamata, Hirofumi, Ikemura, Shinnosuke, Chubachi, Shotaro, Okamori, Satoshi, Terai, Hideki, Morita, Atsuho, Asakura, Takanori, Sasaki, Junichi, Morisaki, Hiroshi, Uwamino, Yoshifumi, Nanki, Kosaku, Uchida, Sho, Uno, Shunsuke, Nishimura, Tomoyasu, Ishiguro, Takashi, Isono, Taisuke, Shibata, Shun, Matsui, Yuma, Hosoda, Chiaki, Takano, Kenji, Nishida, Takashi, Kobayashi, Yoichi, Takaku, Yotaro, Takayanagi, Noboru, Ueda, Soichiro, Tada, Ai, Miyawaki, Masayoshi, Yamamoto, Masaomi, Yoshida, Eriko, Hayashi, Reina, Nagasaka, Tomoki, Arai, Sawako, Kaneko, Yutaro, Sasaki, Kana, Tagaya, Etsuko, Kawana, Masatoshi, Arimura, Ken, Takahashi, Kunihiko, Anzai, Tatsuhiko, Ito, Satoshi, Endo, Akifumi, Uchimura, Yuji, Miyazaki, Yasunari, Honda, Takayuki, Tateishi, Tomoya, Tohda, Shuji, Ichimura, Naoya, Sonobe, Kazunari, Sassa, Chihiro Tani, Nakajima, Jun, Nakano, Yasushi, Nakajima, Yukiko, Anan, Ryusuke, Arai, Ryosuke, Kurihara, Yuko, Harada, Yuko, Nishio, Kazumi, Ueda, Tetsuya, Azuma, Masanori, Saito, Ryuichi, Sado, Toshikatsu, Miyazaki, Yoshimune, Sato, Ryuichi, Haruta, Yuki, Nagasaki, Tadao, Yasui, Yoshinori, Hasegawa, Yoshinori, Mutoh, Yoshikazu, Kimura, Tomoki, Sato, Tomonori, Takei, Reoto, Hagimoto, Satoshi, Noguchi, Yoichiro, Yamano, Yasuhiko, Sasano, Hajime, Ota, Sho, Nakamori, Yasushi, Yoshiya, Kazuhisa, Saito, Fukuki, Yoshihara, Tomoyuki, Wada, Daiki, Iwamura, Hiromu, Kanayama, Syuji, Maruyama, Shuhei, Yoshiyama, Takashi, Ohta, Ken, Kokuto, Hiroyuki, Ogata, Hideo, Tanaka, Yoshiaki, Arakawa, Kenichi, Shimoda, Masafumi, Osawa, Takeshi, Tateno, Hiroki, Hase, Isano, Yoshida, Shuichi, Suzuki, Shoji, Kawada, Miki, Horinouchi, Hirohisa, Saito, Fumitake, Mitamura, Keiko, Hagihara, Masao, Ochi, Junichi, Uchida, Tomoyuki, Baba, Rie, Arai, Daisuke, Ogura, Takayuki, Takahashi, Hidenori, Hagiwara, Shigehiro, Nagao, Genta, Konishi, Shunichiro, Nakachi, Ichiro, Murakami, Koji, Yamada, Mitsuhiro, Sugiura, Hisatoshi, Sano, Hirohito, Matsumoto, Shuichiro, Kimura, Nozomu, Ono, Yoshinao, Baba, Hiroaki, Suzuki, Yusuke, Nakayama, Sohei, Masuzawa, Keita, Namba, Shinichi, Suzuki, Ken, Naito, Yoko, Liu, Yu-Chen, Takuwa, Ayako, Sugihara, Fuminori, Wing, James B., Sakakibara, Shuhei, Hizawa, Nobuyuki, Shiroyama, Takayuki, Miyawaki, Satoru, Kawamura, Yusuke, Nakayama, Akiyoshi, Matsuo, Hirotaka, Maeda, Yuichi, Nii, Takuro, Noda, Yoshimi, Niitsu, Takayuki, Adachi, Yuichi, Enomoto, Takatoshi, Amiya, Saori, Hara, Reina, Yamaguchi, Yuta, Murakami, Teruaki, Kuge, Tomoki, Matsumoto, Kinnosuke, Yamamoto, Yuji, Yamamoto, Makoto, Yoneda, Midori, Kishikawa, Toshihiro, Yamada, Shuhei, Kawabata, Shuhei, Kijima, Noriyuki, Takagaki, Masatoshi, Sasa, Noah, Ueno, Yuya, Suzuki, Motoyuki, Takemoto, Norihiko, Eguchi, Hirotaka, Fukusumi, Takahito, Imai, Takao, Fukushima, Munehisa, Kishima, Haruhiko, Inohara, Hidenori, Tomono, Kazunori, Kato, Kazuto, Takahashi, Meiko, Matsuda, Fumihiko, Hirata, Haruhiko, Takeda, Yoshito, Koh, Hidefumi, Manabe, Tadashi, Funatsu, Yohei, Ito, Fumimaro, Fukui, Takahiro, Shinozuka, Keisuke, Kohashi, Sumiko, Miyazaki, Masatoshi, Shoko, Tomohisa, Kojima, Mitsuaki, Adachi, Tomohiro, Ishikawa, Motonao, Takahashi, Kenichiro, Inoue, Takashi, Hirano, Toshiyuki, Kobayashi, Keigo, Takaoka, Hatsuyo, Watanabe, Kazuyoshi, Miyazawa, Naoki, Kimura, Yasuhiro, Sado, Reiko, Sugimoto, Hideyasu, Kamiya, Akane, Kuwahara, Naota, Fujiwara, Akiko, Matsunaga, Tomohiro, Sato, Yoko, Okada, Takenori, Hirai, Yoshihiro, Kawashima, Hidetoshi, Narita, Atsuya, Niwa, Kazuki, Sekikawa, Yoshiyuki, Nishi, Koichi, Nishitsuji, Masaru, Tani, Mayuko, Suzuki, Junya, Nakatsumi, Hiroki, Ogura, Takashi, Kitamura, Hideya, Hagiwara, Eri, Murohashi, Kota, Okabayashi, Hiroko, Mochimaru, Takao, Nukaga, Shigenari, Satomi, Ryosuke, Oyamada, Yoshitaka, Mori, Nobuaki, Baba, Tomoya, Fukui, Yasutaka, Odate, Mitsuru, Mashimo, Shuko, Makino, Yasushi, Yagi, Kazuma, Hashiguchi, Mizuha, Kagyo, Junko, Shiomi, Tetsuya, Fuke, Satoshi, Saito, Hiroshi, Tsuchida, Tomoya, Fujitani, Shigeki, Takita, Mumon, Morikawa, Daiki, Yoshida, Toru, Izumo, Takehiro, Inomata, Minoru, Kuse, Naoyuki, Awano, Nobuyasu, Tone, Mari, Ito, Akihiro, Nakamura, Yoshihiko, Hoshino, Kota, Maruyama, Junichi, Ishikura, Hiroyasu, Takata, Tohru, Odani, Toshio, Amishima, Masaru, Hattori, Takeshi, Shichinohe, Yasuo, Kagaya, Takashi, Kita, Toshiyuki, Ohta, Kazuhide, Sakagami, Satoru, Koshida, Kiyoshi, Hayashi, Kentaro, Shimizu, Tetsuo, Kozu, Yutaka, Hiranuma, Hisato, Gon, Yasuhiro, Izumi, Namiki, Nagata, Kaoru, Ueda, Ken, Taki, Reiko, Hanada, Satoko, Kawamura, Kodai, Ichikado, Kazuya, Nishiyama, Kenta, Muranaka, Hiroyuki, Nakamura, Kazunori, Hashimoto, Naozumi, Wakahara, Keiko, Sakamoto, Koji, Omote, Norihito, Ando, Akira, Kodama, Nobuhiro, Kaneyama, Yasunari, Maeda, Shunsuke, Kuraki, Takashige, Matsumoto, Takemasa, Yokote, Koutaro, Nakada, Taka-Aki, Abe, Ryuzo, Oshima, Taku, Shimada, Tadanaga, Harada, Masahiro, Takahashi, Takeshi, Ono, Hiroshi, Sakurai, Toshihiro, Shibusawa, Takayuki, Kimizuka, Yoshifumi, Kawana, Akihiko, Sano, Tomoya, Watanabe, Chie, Suematsu, Ryohei, Sageshima, Hisako, Yoshifuji, Ayumi, Ito, Kazuto, Takahashi, Saeko, Ishioka, Kota, Nakamura, Morio, Masuda, Makoto, Wakabayashi, Aya, Watanabe, Hiroki, Ueda, Suguru, Nishikawa, Masanori, Chihara, Yusuke, Takeuchi, Mayumi, Onoi, Keisuke, Shinozuka, Jun, Sueyoshi, Atsushi, Nagasaki, Yoji, Okamoto, Masaki, Ishihara, Sayoko, Shimo, Masatoshi, Tokunaga, Yoshihisa, Kusaka, Yu, Ohba, Takehiko, Isogai, Susumu, Ogawa, Aki, Inoue, Takuya, Fukuyama, Satoru, Eriguchi, Yoshihiro, Yonekawa, Akiko, Kan-o, Keiko, Matsumoto, Koichiro, Kanaoka, Kensuke, Ihara, Shoichi, Komuta, Kiyoshi, Inoue, Yoshiaki, Chiba, Shigeru, Yamagata, Kunihiro, Hiramatsu, Yuji, Kai, Hirayasu, Asano, Koichiro, Oguma, Tsuyoshi, Ito, Yoko, Hashimoto, Satoru, Yamasaki, Masaki, Kasamatsu, Yu, Komase, Yuko, Hida, Naoya, Tsuburai, Takahiro, Oyama, Baku, Takada, Minoru, Kanda, Hidenori, Kitagawa, Yuichiro, Fukuta, Tetsuya, Miyake, Takahito, Yoshida, Shozo, Ogura, Shinji, Abe, Shinji, Kono, Yuta, Togashi, Yuki, Takoi, Hiroyuki, Kikuchi, Ryota, Ogawa, Shinichi, Ogata, Tomouki, Ishihara, Shoichiro, Kanehiro, Arihiko, Ozaki, Shinji, Fuchimoto, Yasuko, Wada, Sae, Fujimoto, Nobukazu, Nishiyama, Kei, Terashima, Mariko, Beppu, Satoru, Yoshida, Kosuke, Narumoto, Osamu, Nagai, Hideaki, Ooshima, Nobuharu, Motegi, Mitsuru, Umeda, Akira, Miyagawa, Kazuya, Shimada, Hisato, Endo, Mayu, Ohira, Yoshiyuki, Watanabe, Masafumi, Inoue, Sumito, Igarashi, Akira, Sato, Masamichi, Sagara, Hironori, Tanaka, Akihiko, Ohta, Shin, Kimura, Tomoyuki, Shibata, Yoko, Tanino, Yoshinori, Nikaido, Takefumi, Minemura, Hiroyuki, Sato, Yuki, Yamada, Yuichiro, Hashino, Takuya, Shinoki, Masato, Iwagoe, Hajime, Takahashi, Hiroshi, Fujii, Kazuhiko, Kishi, Hiroto, Kanai, Masayuki, Imamura, Tomonori, Yamashita, Tatsuya, Yatomi, Masakiyo, Maeno, Toshitaka, Hayashi, Shinichi, Takahashi, Mai, Kuramochi, Mizuki, Kamimaki, Isamu, Tominaga, Yoshiteru, Ishii, Tomoo, Utsugi, Mitsuyoshi, Ono, Akihiro, Tanaka, Toru, Kashiwada, Takeru, Fujita, Kazue, Saito, Yoshinobu, Seike, Masahiro, Watanabe, Hiroko, Matsuse, Hiroto, Kodaka, Norio, Nakano, Chihiro, Oshio, Takeshi, Hirouchi, Takatomo, Makino, Shohei, Egi, Moritoki, Omae, Yosuke, Nannya, Yasuhito, Ueno, Takafumi, Katayama, Kazuhiko, Ai, Masumi, Fukui, Yoshinori, Kumanogoh, Atsushi, Sato, Toshiro, Hasegawa, Naoki, Tokunaga, Katsushi, Ishii, Makoto, Koike, Ryuji, Kitagawa, Yuko, Kimura, Akinori, Imoto, Seiya, Miyano, Satoru, Ogawa, Seishi, Kanai, Takanori, Fukunaga, Koichi, and Okada, Yukinori

Abstract

Identifying the host genetic factors underlying severe COVID-19 is an emerging challenge1–5. Here we conducted a genome-wide association study (GWAS) involving 2,393 cases of COVID-19 in a cohort of Japanese individuals collected during the initial waves of the pandemic, with 3,289 unaffected controls. We identified a variant on chromosome 5 at 5q35 (rs60200309-A), close to the dedicator of cytokinesis 2 gene (DOCK2), which was associated with severe COVID-19 in patients less than 65 years of age. This risk allele was prevalent in East Asian individuals but rare in Europeans, highlighting the value of genome-wide association studies in non-European populations. RNA-sequencing analysis of 473 bulk peripheral blood samples identified decreased expression of DOCK2associated with the risk allele in these younger patients. DOCK2expression was suppressed in patients with severe cases of COVID-19. Single-cell RNA-sequencing analysis (n= 61 individuals) identified cell-type-specific downregulation of DOCK2and a COVID-19-specific decreasing effect of the risk allele on DOCK2expression in non-classical monocytes. Immunohistochemistry of lung specimens from patients with severe COVID-19 pneumonia showed suppressed DOCK2 expression. Moreover, inhibition of DOCK2 function with CPYPP increased the severity of pneumonia in a Syrian hamster model of SARS-CoV-2 infection, characterized by weight loss, lung oedema, enhanced viral loads, impaired macrophage recruitment and dysregulated type I interferon responses. We conclude that DOCK2 has an important role in the host immune response to SARS-CoV-2 infection and the development of severe COVID-19, and could be further explored as a potential biomarker and/or therapeutic target.

Published
2022
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83. Anxiety and depression in general practice outpatients: the long-term change process

Author

Shimada,Fumio, Ohira,Yoshiyuki, Hirota,Yusuke, Ikegami,Akiko, Kondo,Takeshi, Shikino,Kiyoshi, Suzuki,Shingo, Noda,Kazutaka, Uehara,Takanori, Ikusaka,Masatomi, Shimada,Fumio, Ohira,Yoshiyuki, Hirota,Yusuke, Ikegami,Akiko, Kondo,Takeshi, Shikino,Kiyoshi, Suzuki,Shingo, Noda,Kazutaka, Uehara,Takanori, and Ikusaka,Masatomi

Abstract

Fumio Shimada, Yoshiyuki Ohira, Yusuke Hirota, Akiko Ikegami, Takeshi Kondo, Kiyoshi Shikino, Shingo Suzuki, Kazutaka Noda, Takanori Uehara, Masatomi Ikusaka Department of General Medicine, Chiba University Hospital, Chiba, Japan Background and objectives: Patients who come for a consultation at a general practice clinic as outpatients often suffer from background anxiety and depression. The psychological state of such patients can alleviate naturally; however, there are cases when these symptoms persist. This study investigated the realities and factors behind anxiety/depression becoming prolonged.Methods: Participants were 678 adult patients, who came to Department of General Medicine at Chiba University Hospital within a 1-year period starting from April 2012 and who completed the Hospital Anxiety and Depression Scale (HADS) during their initial consultation. Participants whose Anxiety or Depression scores in the HADS, or both, were 8 points or higher were defined as being within the anxiety/depression group, with all other participants making up the control group. A telephone interview was also conducted with participants. Furthermore, age, sex, the period from the onset of symptoms to the initial consultation at our department, the period from the initial department consultation to the telephone survey, and the existence of mental illness at the final department diagnosis were investigated.Results: A total of 121 patients (17.8% response rate) agreed to the phone survey. The HADS score during the phone survey showed that the anxiety/depression group had a significantly higher score than the control group. The HADS scores obtained between the initial consultation and telephone survey showed a positive correlation. Logistic regression analysis extracted “age” and the “continuation of the symptoms during the initial consultation” as factors that

Published
2018

86. A-MUPS score to differentiate patients with somatic symptom disorder from those with medical disease for complaints of non-acute pain

Author

Suzuki,Shingo, Ohira,Yoshiyuki, Noda,Kazutaka, Ikusaka,Masatomi, Suzuki,Shingo, Ohira,Yoshiyuki, Noda,Kazutaka, and Ikusaka,Masatomi

Abstract

Shingo Suzuki, Yoshiyuki Ohira, Kazutaka Noda, Masatomi Ikusaka Department of General Medicine, Chiba University Hospital, Chiba, Japan Purpose: To develop a clinical score to discriminate patients with somatic symptom disorder (SSD) from those with medical disease (MD) for complaints of non-acute pain.Methods: We retrospectively examined the clinical records of consecutive patients with pain for a duration of ≥1 month in our department from April 2003 to March 2015. We divided the subjects according to the diagnoses of definite SSD (as diagnosed and tracked by psychiatrists in our hospital), probable SSD (without evaluation by psychiatrists in our hospital), matched MD (randomly matched two patients by age, sex, and pain location for each definite SSD patient), unmatched MD, other mental disease, or functional somatic syndrome (FSS). We investigated eight clinical factors for definite SSD and matched MD, and developed a diagnostic score to ­identify SSD. We subsequently validated the model with cases of probable SSD and unmatched MD.Results: The number of patients with definite SSD, probable SSD, matched MD, unmatched MD, other mental disease, and FSS was 104 (3.5%), 214 (7.3%), 197 (6.7%), 742 (25%), 708 (24%), and 978 (33%), respectively. In a conditional logistic regression analysis, the following five factors were included as independent predictors of SSD: Analgesics ineffective, Mental disorder history, Unclear provocative/palliative factors, Persistence without cessation, and Stress feelings/episodes (A-MUPS). The area under the receiver operating characteristic curve (AUC) of the model was 0.900 (95% CI: 0.864–0.937, p<0.001), and the McFadden’s pseudo-R-squared was 0.709. For internal validation, the AUC between probable SSD and unmatched MD was 0.930 (95% CI: 0.910–0.950, p<0.001). The prevalence and the likelihood ratio of SSD increased as the score increased.Conclusion: The A-MUPS score

Published
2017

91. Iliac Vein Compression Syndrome due to Bladder Distention Caused by Urethral Calculi

Author

Ikegami, Akiko, Kondo, Takeshi, Tsukamoto, Tomoko, Ohira, Yoshiyuki, and Ikusaka, Masatomi

Subjects
Article Subject, cardiovascular system, urologic and male genital diseases
Abstract

We report a rare case of iliac vein compression syndrome caused by urethral calculus. A 71-year-old man had a history of urethral stenosis. He complained of bilateral leg edema and dysuria for 1 week. Physical examination revealed bilateral distention of the superficial epigastric veins, so obstruction of both common iliac veins or the inferior vena cava was suspected. Plain abdominal computed tomography showed a calculus in the pendulous urethra, distention of the bladder (as well as the right renal pelvis and ureter), and compression of the bilateral common iliac veins by the distended bladder. Iliac vein compression syndrome was diagnosed. Bilateral iliac vein compression due to bladder distention (secondary to neurogenic bladder, benign prostatic hyperplasia, or urethral calculus as in this case) is an infrequent cause of acute bilateral leg edema. Detecting distention of the superficial epigastric veins provides a clue for diagnosis of this syndrome.

Published
2015
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92. Utilizing a medical questionnaire to predict anxiety and depression in outpatients

Author

Kajiwara,Hideki, Ohira,Yoshiyuki, Ikegami,Akiko, Hanazawa,Nao, Masuyama,Takako, Yamashita,Tomoko, Kondo,Takeshi, Shikino,Kiyoshi, Ikusaka,Masatomi, Kajiwara,Hideki, Ohira,Yoshiyuki, Ikegami,Akiko, Hanazawa,Nao, Masuyama,Takako, Yamashita,Tomoko, Kondo,Takeshi, Shikino,Kiyoshi, and Ikusaka,Masatomi

Abstract

Hideki Kajiwara,1 Yoshiyuki Ohira,1 Akiko Ikegami,1 Nao Hanazawa,1 Takako Masuyama,1,2 Tomoko Yamashita,1 Takeshi Kondo,1 Kiyoshi Shikino,1 Masatomi Ikusaka1 1Department of General Medicine, Chiba University Hospital, Chiba-shi, 2Department of General Medicine, Kimitsu Chuo Hospital, Kisarazu-shi, Chiba, Japan Introduction: Anxiety and depressive symptoms are seen in patients with anxiety and mood disorders but are also common in those with organic disorders. However, since physical symptoms are predominant complaints from patients who visit nonpsychiatric outpatient clinics, anxiety and depressive symptoms are often unrecognized. It is important for physicians to be aware of these issues concurrent with the physical symptoms. We therefore examined whether a self-administered medical questionnaire could identify anxiety and depressive symptoms.Patients and methods: A total of 453 patients on their first visit to the Department of General Medicine, Chiba University Hospital, Chiba, Japan, participated in this study. They were asked to complete a medical questionnaire and the Hospital Anxiety and Depression Scale questionnaire before examination. Data on age, sex, number of complaints, symptom duration, and number of previous physicians were extracted from the medical questionnaire. These data were used as independent variables in logistic regression analysis to develop a predictive model for the presence of anxiety and depressive symptoms.Results: Data from 358 (79.0%) patients were included in the analyses. Logistic regression analysis identified the following predictors: “three or more complaints” (odds ratio [OR] 2.39; 95% confidence interval [CI] 1.48–3.88) and “four or more previous physicians” (OR 1.72; 95% CI 1.10–2.69). In the predictive model for the presence of symptoms of anxiety and depression, the likelihood ratio was 2.40 (95% CI 1.33–4.34) in patients reporting both conditions and 1.

Published
2016

100. Influence of predicting the diagnosis from history on the accuracy of physical examination

Author

Shikino,Kiyoshi, Ikusaka,Masatomi, Ohira,Yoshiyuki, Miyahara,Masahito, Suzuki,Shingo, Hirukawa,Misa, Noda,Kazutaka, Tsukamoto,Tomoko, Uehara,Takanori, Shikino,Kiyoshi, Ikusaka,Masatomi, Ohira,Yoshiyuki, Miyahara,Masahito, Suzuki,Shingo, Hirukawa,Misa, Noda,Kazutaka, Tsukamoto,Tomoko, and Uehara,Takanori

Abstract

Kiyoshi Shikino, Masatomi Ikusaka, Yoshiyuki Ohira, Masahito Miyahara, Shingo Suzuki, Misa Hirukawa, Kazutaka Noda, Tomoko Tsukamoto, Takanori Uehara Department of General Medicine, Chiba University Hospital, Chiba, Chiba Prefecture, Japan Background: This study aimed to clarify the influence of predicting a correct diagnosis from the history on physical examination by comparing the diagnostic accuracy of auscultation with and without clinical information. Methods: The participants were 102 medical students from the 2013 clinical clerkship course. Auscultation was performed with a cardiology patient simulator. Participants were randomly assigned to two groups. Each group listened to a different simulated heart murmur and then made a diagnosis without clinical information. Next, a history suggesting a different murmur was provided to each group and they predicted the diagnosis. Finally, the students listened to a murmur corresponding to the history provided and again made a diagnosis. Correct and incorrect diagnosis rates of auscultation were compared between students with and without clinical information, between students predicting a correct or incorrect diagnosis from the history (correct and incorrect prediction groups, respectively), and between students without clinical information and those making an incorrect prediction. Results: For auscultation with or without clinical information, the correct diagnosis rate was 62.7% (128/204 participants) versus 54.4% (111/204 participants), showing no significant difference (P=0.09). After receiving clinical information, a correct diagnosis was made by 102/117 students (87.2%) in the correct prediction group versus 26/87 students (29.9%) in the incorrect prediction group, showing a significant difference (P=0.006). The correct diagnosis rate was also significantly lower in the incorrect prediction group than when the students performed auscultation without clinical information (54.4% versus 29.9%, P<0.001). Conclu

Published
2015

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