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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

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 prolonged anxiety/depression.Conclusion: Anxiety and depression in general practice outpatients have the possibility of becoming prolonged for an extended period of time. Being aged 65 years or over and showing a continuation of symptoms past the initial consultation are the strongest factors associated with these prolonged conditions. When patients with anxiety and depression exhibit these risk factors, they should be further evaluated for treatment. Keywords: anxiety, depression, outpatients, general practice

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

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 1.35 (95% CI 1.04–1.77) in those reporting either condition.Conclusion: The presence of anxiety and depressive symptoms can be predicted from the items of a medical questionnaire in outpatients visiting a general medicine department of a university hospital. When patients report three or more complaints or four or more previous physicians on a medical questionnaire, physicians should consider the presence of anxiety or depression or both in differential diagnosis. Keywords: anxiety, depression, Hospital Anxiety and Depression Scale, HADS, complaint numbers, number of previous physicians, medical questionnaire

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

Takanori Uehara,1,2 Masatomi Ikusaka,1 Yoshiyuki Ohira,1 Mitsuyasu Ohta,1,2 Kazutaka Noda,1 Tomoko Tsukamoto,1 Toshihiko Takada,1 Masahito Miyahara11Department of General Medicine, Chiba University Hospital, 2Division of Rotated Collaboration Systems for Local Healthcare, Graduate School of Medicine, Chiba University, Chiba, JapanPurpose: To compare the diagnostic accuracy of diseases predicted from patient responses to a simple questionnaire completed prior to examination by doctors with different levels of ambulatory training in general medicine.Participants and methods: Before patient examination, five trained physicians, four short-term-trained residents, and four untrained residents examined patient responses to a simple questionnaire and then indicated, in rank order according to their subjective confidence level, the diseases they predicted. Final diagnosis was subsequently determined from hospital records by mentor physicians 3 months after the first patient visit. Predicted diseases and final diagnoses were codified using the International Classification of Diseases version 10. A “correct” diagnosis was one where the predicted disease matched the final diagnosis code.Results: A total of 148 patient questionnaires were evaluated. The Herfindahl index was 0.024, indicating a high degree of diversity in final diagnoses. The proportion of correct diagnoses was high in the trained group (96 of 148, 65%; residual analysis, 4.4) and low in the untrained group (56 of 148, 38%; residual analysis, -3.6) (χ2=22.27, P

Kazutaka Noda, Masatomi Ikusaka, Yoshiyuki Ohira, Toshihiko Takada, Tomoko TsukamotoDepartment of General Medicine, Chiba University Hospital, Chiba, JapanObjective: Patient medical history is important for making a diagnosis of causes of dizziness, but there have been no studies on the diagnostic value of individual items in the history. This study was performed to identify and validate useful questions for suspecting a diagnosis of benign paroxysmal positional vertigo (BPPV).Methods: Construction and validation of a disease prediction model was performed at the outpatient clinic in the Department of General Medicine of Chiba University Hospital. Patients with dizziness were enrolled (145 patients for construction of the disease prediction model and 61 patients for its validation). This study targeted BPPV of the posterior semicircular canals only with a positive Dix–Hallpike test (DHT + BPPV) to avoid diagnostic ambiguity. Binomial logistic regression analysis was performed to identify the items that were useful for diagnosis or exclusion of DHT + BPPV.Results: Twelve patients from the derivation set and six patients from the validation set had DHT + BPPV. Binomial logistic regression analysis selected a "duration of dizziness ≤15 seconds" and "onset when turning over in bed" as independent predictors of DHT + BPPV with an odds ratio (95% confidence interval) of 4.36 (1.18–16.19) and 10.17 (2.49–41.63), respectively. Affirmative answers to both questions yielded a likelihood ratio of 6.81 (5.11–9.10) for diagnosis of DHT + BPPV, while negative answers to both had a likelihood ratio of 0.19 (0.08–0.47).Conclusion: A "duration of dizziness ≤15 seconds" and "onset when turning over in bed" were the two most important questions among various historical features of BPPV.Keywords: benign paroxysmal positional vertigo, likelihood ratio, diagnosis, screening, prediction rules