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Bedriddenness Rank (BR) and Cognitive Function Score (CFS), issued by the Ministry of Health, Labour and Welfare, Japan, are easy-to-use and widely used in the medical and long-term care insurance systems in Japan. This study aims to clarify the criterion-related validity of the CFS with the Mini-Mental State Examination (MMSE) and ABC Dementia Scale (ABC-DS), and to re-evaluate the criterion-related validity of BR with the Barthel Index (BI) or Katz Index (KI) in more appropriate settings and a larger population compared with the previous study. A single-center prospective observational study was conducted in an acute care hospital in a suburban city in Japan. All inpatients aged 20 years or older admitted from October 1, 2018 to September 30, 2019. The relationship between BR and the BI and KI, and the relationship between CFS and the MMSE and ABC-DS were analyzed using Spearman's correlation coefficients. We enrolled 3,003 patients. Of these, 1,664 (56%) patients exhibited normal BR. The median (interquartile range) values of the BI and KI were 100 (65-100) and 6 (2-6), respectively. Spearman's rank correlation coefficients between BR and the BI and KI were -0.891 (p < 0.001) and -0.877 (p < 0.001), respectively. Of the patients, 1,967 (65.5%) showed normal CFS. The median (interquartile range) MMSE of 951 patients with abnormal CFS and ABC-DS of all patients were 15 (2-21) and 117 (102-117), respectively. Spearman's rank correlation coefficients between CFS and MMSE and ABC-DS were -0.546 (p < 0.001) and -0.862 (p < 0.001), respectively. BR and CFS showed significant criterion-related validity with well-established but complicated objective scales for assessing activities of daily living and cognitive functions, respectively. These two scales, which are easy to assess, are reliable and useful in busy clinical practice or large-scale screening settings.

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 adjust the coefficients to improve the accuracy of SFRM2 and validate it. This study included all patients aged ≥20 years admitted to eight hospitals, including chronic care, acute care, and tertiary hospitals, from April 1, 2018, to March 31, 2021. In-hospital falls were used as the outcome, and the AUC and shrinkage coefficient of SFRM2 were calculated. Additionally, SFRM2.1, which was modified from the coefficients of SFRM2 using logistic regression with the eight items comprising SFRM2, was developed using two-thirds of the data randomly selected from the entire population, and its accuracy was validated using the remaining one-third portion of the data. Of the 124,521 inpatients analyzed, 2,986 (2.4%) experienced falls during hospitalization. The median age of all inpatients was 71 years, and 53.2% were men. The AUC of SFRM2 was 0.687 (95% confidence interval [CI]:0.678-0.697), and the shrinkage coefficient was 0.996. SFRM2.1 was created using 81,790 patients, and its accuracy was validated using the remaining 42,731 patients. The AUC of SFRM2.1 was 0.745 (95% CI: 0.731-0.758). SFRM2 showed good accuracy in predicting falls even on validating in diverse populations with significantly different backgrounds. Furthermore, the accuracy can be improved by adjusting the coefficients while keeping the model's parameters fixed.

Introduction: 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

Background: 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-, and 6th-year students. The median total number of accepted students for clinical clerkship was 120. The median educational effort of the GM department was 30. With total educational effort set at 100, the median effort for undergraduate education was 45, for postgraduate residency 30, and for specialty program training 20. Conclusion: The undergraduate medical education by GM departments of Japanese universities was provided mainly in clinical settings for almost all medical students. A focus on exposing students to GM in early academic years would improve the educational environment. Keywords: clinical clerkship, general medicine, medical education, specialty program, university

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. 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. 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. 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.

Background No previous research has targeted educators regarding educational practice and the achievements of students in terms of the learning objectives of clinical clerkships in university general medicine departments of Japan. We aimed to clarify the characteristics of clinical clerkships in Japanese general medicine departments using a questionnaire administered to chairpersons of university general medicine departments. Methods This was a descriptive questionnaire-based study using Google Forms (Google, Inc., Mountain View, CA, USA). We asked the chairpersons of general medicine departments in Japanese universities the following questions, with responses given on a 5-point Likert scale: Question 1: How well are primary symptoms in the national model core curriculum for undergraduate medical education taught in clinical clerkships in university general medicine departments? Question 2: How successfully can students achieve the learning objectives of the national model core curriculum for undergraduate medical education through clinical clerkships in general medicine departments of university hospitals? Question 3: How successfully can students achieve the learning objectives of the national model core curriculum for undergraduate medical education through clinical clerkships in other community clinics or hospitals? The results of the questionnaire responses are described as mean±standard deviation. Results Of the 71 Japanese universities with general medicine departments, 43 were included in the analysis. For Question 1, the symptoms and pathophysiologies with a mean score of 4 points or higher were fever, general malaise, anorexia, weight loss or gain, edema, abdominal pain, lymphadenopathy, and headache. All those symptoms require basic medical competencies. For Questions 2 and 3, the intramural clinical clerkship of general medicine departments had a higher mean score than the extramural clinical clerkship for diagnostic reasoning that emphasizes medical history and physical examination and a comprehensive approach to patients with multiple health problems. In contrast, the extramural clinical clerkship, in which medical students can build experience with community-integrated care, had a mean score of 3 points or higher for all items. Conclusions The clinical clerkship in general medicine departments of Japanese universities provides students with chances to acquire clinical competencies regarding primary symptoms and pathophysiologies. Additionally, the extramural clinical clerkship provides experience in community-based integrated care, including home medical care, collaboration, health and welfare, and long-term care.

The Saga Fall-related Injury Risk Model (SFIRM) was developed in an acute care hospital to predict fall-related injuries based on six factors upon admission: age, sex, emergency transport, medical referral letters, history of falls, and bedriddenness ranks. This study aims to validate the applicability of the model across various hospitals through external validation using data from multiple hospitals. Additionally, the common predictors of fall-related injuries across these hospitals were explored. This multicenter, retrospective, observational study included patients aged 20 years and older who were admitted to 8 hospitals (chronic-care, acute-care, and tertiary acute-care) between April 2018 and March 2021. A calculated sample size of patients was selected and the area under the curve (AUC) of the SFIRM was determined for fall-related injuries during hospitalization. Multivariate analyses were conducted for each hospital using the surveyed factors as covariates and fall-related injuries as outcomes. The significant factors associated with fall-related injuries were compared across hospitals. From 144,777 patients, 2376 were randomly sampled and analyzed. Among them, 51 patients (2.1%) experienced falls during hospitalization and 35 (1.5%) sustained fall-related injuries. The AUC of SFIRM was 0.617 (95% confidence interval 0.534-0.701). In multivariate analyses by hospital, age and bedriddenness ranks were significantly associated with fall-related injuries in five hospitals, whereas male sex, history of falls, and diabetes were significantly associated with fall-related injuries in four hospitals. The SFIRM demonstrated low discrimination in a population from various hospitals. The predictive models for fall-related injuries require redevelopment and validation to suit various hospitals. In the multivariate analyses across hospitals, age, bedriddenness ranks, male sex, history of falls, and diabetes mellitus were common and significant factors associated with fall-related injuries. These factors are most favorable for developing a predictive model for fall-related injuries.

A 64-year-old woman was transferred to our hospital because of fever, painful swelling in upper jaw, back pain and dysuria. She was in shock and physical examinations revealed tenderness on maxillary sinus, cellulitis in the right foot, hypoesthesia in both lower extremities and groin, mild weakness in both lower extremities, and bladder and rectal dysfunctions. Blood examination showed elevated white cell count and C reactive protein, and urinalysis revealed urinary tract infection. Spinal MRI detected spondylodiscitis with epidural abscess. After detection of Streptococcus pneumoniae by cultures of blood and fluid from lumbar abscess, she was consequently diagnosed with invasive pneumococcal disease likely secondary to acute exacerbation of chronic sinusitis. Pyogenic spondylitis or epidural abscess is a rare but serious complication of invasive pneumococcal disease. Furthermore, S. pneumoniae should be suspected as a causative organism when seeing a patient with severe infectious diseases complicated with sinusitis.

The danger of diagnostic errors exists in daily medical practice, and doctors are required to avoid such errors as much as possible. Although various factors, including cognitive, system-related, and patient-related factors, are involved in the occurrence of diagnostic errors, the percentage of doctors with insufficient medical knowledge among those factors is extremely low. Therefore, lectures on diagnostic errors might also be useful for medical students without experience working as doctors. This study investigated whether a 60-minute lecture on diagnostic errors would enable Japanese medical students to consider the factors involved in diagnostic errors and how their perceptions of diagnostic errors change. This single-center interventional study was conducted in October 2022 among fourth-year medical students at the Faculty of Medicine, Saga University. A questionnaire survey was conducted before and immediately after the lecture to investigate changes in the perceptions of medical students regarding diagnostic errors. One mock case question was given on an exam the day after the lecture, and the number of responses to cognitive biases and system-related and patient-related factors involved in diagnostic errors were calculated. A total of 83 students were analyzed. After the lecture, medical students were significantly more aware of the existence of the concept of diagnostic error, the importance of learning about it, their willingness to continue learning about it, and their perception that learning about diagnostic errors improves their clinical skills. They were also significantly less likely to feel blame or shame over diagnostic errors. The mean numbers of responses per student for cognitive bias, system-related factors, and patient-related factors were 1.9, 3.4, and 0.9, respectively. The mean number of responses per student for all factors was 5.6. A 60-minute lecture on diagnostic errors among medical students is beneficial because it significantly changes their perception of diagnostic errors. The results of the present study also suggest that lectures may enable Japanese medical students to consider the factors involved in diagnostic errors.

Background Several reliable predictive models for falls have been reported, but are too complicated and time-consuming to evaluate. We recently developed a new predictive model using just eight easily-available parameters including the official Japanese activities of daily living scale, Bedriddenness ranks, from the Ministry of Health, Labour and Welfare. This model has not yet been prospectively validated. This study aims to prospectively validate our new predictive model for falls among inpatients admitted to two different hospitals. Methods A double-centered prospective cohort study was performed from October 1, 2018, to September 30, 2019 in an acute care hospital and a chronic care hospital. We analyzed data from all adult inpatients, for whom all data required by the predictive model were evaluated and recorded. The eight items required by the predictive model were age, gender, emergency admission, department of admission, use of hypnotic medications, previous falls, independence of eating, and Bedriddenness ranks. The main outcome is in-hospital falls among adult inpatients, and the model was assessed by area under the curve. Results A total of 3,551 adult participants were available, who experienced 125 falls (3.5%). The median age (interquartile range) was 78 (66–87) years, 1,701 (47.9%) were men, and the incidence of falls was 2.25 per 1,000 patient-days and 2.06 per 1,000 occupied bed days. The area under the curve of the model was 0.793 (95% confidence interval: 0.761–0.825). The cutoff value was set as − 2.18, making the specificity 90% with the positive predictive value and negative predictive value at 11.4% and 97%. Conclusions This double-centered prospective cohort external validation study showed that the new predictive model had excellent validity for falls among inpatients. This reliable and easy-to-use model is therefore recommended for prediction of falls among inpatients, to improve preventive interventions. Trial registration UMIN000040103 (2020/04/08)