BACKGROUND: To combat coronavirus disease 2019 (COVID-19), many countries have used contact tracing apps, including Japan's voluntary-use contact-confirming application (COCOA). The current study aimed to identify industry and workplace characteristics associated with the downloading of this COVID-19 contact tracing app. METHODS: This cross-sectional study of full-time workers used an online survey. Multiple logistic regression analysis was used to evaluate the associations of industry and workplace characteristics with contact tracing app use. RESULTS: Of the 27,036 participants, 25.1% had downloaded the COCOA. Workers in the public service (adjusted odds ratio [aOR] = 1.29, 95% confidence interval [CI] 1.14-1.45) and information technology (aOR = 1.38, 95% CI 1.20-1.58) industries were more likely to use the app than were those in the manufacturing industry. In contrast, app usage was less common among workers in the retail and wholesale (aOR = 0.87, 95% CI 0.76-0.99) and food/beverage (aOR = 0.81, 95% CI 0.70-0.94) industries, but further adjustment for company size attenuated these associations. Workers at larger companies were more likely to use the app. Compared with permanent employees, the odds of using the app were higher for managers and civil servants but lower for those who were self-employed. CONCLUSIONS Downloading of COCOA among Japanese workers was insufficient; thus, the mitigating effect of COCOA on the COVID-19 pandemic is considered to be limited. One possible reason for the under-implementation of the contact tracing app in the retail and wholesale and food/beverage industries is small company size, as suggested by the fully adjusted model results. An awareness campaign should be conducted to promote the widespread use of the contact tracing app in these industries.
Adult ; COVID-19/prevention & control* ; Contact Tracing/methods* ; Cross-Sectional Studies ; Female ; Humans ; Industry/classification* ; Japan/epidemiology* ; Male ; Middle Aged ; Mobile Applications/statistics & numerical data* ; SARS-CoV-2 ; Smartphone ; Workplace/statistics & numerical data*

PURPOSE: To evaluate the efficacy of closed reduction on the humeroradial joint in the treatment of Bado type Ⅰ, Ⅱ and Ⅲ fresh Monteggia fractures in children and investigate the effect of clinical factors, including Bado classification, age and time of treatment on the success rate of closed reduction. METHODS: We retrospectively studied the data of children ≤10 years old with fresh Monteggia fractures (injury within two weeks) treated by manual reduction with plaster immobilization from January 2014 to April 2019. All patients were followed up in the outpatient department every two weeks for 4-6 weeks until plaster removal and then 3, 6 and 12 months. Online or telephone interview was provided for some inconvenient patients after 6 months. Mackay criteria were used to evaluate the clinical effect. Radiographic data were collected and reviewed to assess the reduction of the humeroradial joint. Function of the elbow joint and forearm was evaluated and risk factors related to the failure of reduction were assessed. The successful manual reduction was analyzed from three aspects, respectively Bado fracture type (Ⅰ, Ⅱ, Ⅲ), patient age (<3 year, 3-6 years, >6 years) and time interval from injury to treatment (group A, <1 day; group B, 1-3 days; group C, >3 days). RESULTS: Altogether 88 patients were employed in this study, including 58 males (65.9%) and 30 females (34.1%) aged from 1 to 10 years. There were 29 cases (33.0%) of Bado type Ⅰ Monteggia fractures, 16 (18.2%) type Ⅱ and 43 (48.7%) type Ⅲ. Successful manual reduction was achieved in 79 children (89.8%) at the last follow-up. The failed 9 patients received open surgery. Mackay criteria showed 100% good-excellent rate for all the patients. The success rate of manual reduction was 89.7%, 87.5% and 90.7% in Bado type Ⅰ, Ⅱ and Ⅲ cases, respectively, revealing no significant differences among different Bado types (χ = 0.131, p = 0.937). Successful closed reduction was achieved in 13 toddlers (13/13, 100%), 38 preschool children (28/42, 90.5%) and 28 school-age children (28/33, 84.8%), suggesting no significant difference either (χ = 2.375, p = 0.305). However time interval from injury to treatment showed that patients treated within 3 days had a much higher rate of successful manual reduction: 67 cases (67/71, 94.4%) in group A, 10 cases (10/11, 90.9%) in group B, and 2 cases (2/6, 33.3%) in group C (χ = 22.464, p < 0.001). Fisher's test further showed significant differences between groups A and C (p = 0.001) and groups B and C (p = 0.028). CONCLUSION Closed reduction is a safe and effective method for treating fresh Monteggia fractures in children. The reduction should be conducted as soon as possible once the diagnosis has been made.
Child ; Child, Preschool ; Closed Fracture Reduction ; methods ; Female ; Follow-Up Studies ; Humans ; Infant ; Male ; Monteggia's Fracture ; classification ; surgery ; therapy ; Retrospective Studies ; Time Factors ; Treatment Outcome

Recently, as the elderly population increases, the incidence of total knee arthroplasty has increased, with a concomitant increase in the frequency of periprosthetic fractures. To determine the treatment plan for fractures, the treatment method should be determined by the patient's age, osteoporosis, fixation status of the implant, and type of fracture. In recent years, operative treatment with reduction and stable fixation, rather than non-operative treatment, was used to promote early joint movement and gait. On the other hand, it is necessary to select an appropriate operative method to reduce complications of surgery, such as nonunion and infection, and expect a good prognosis. In this review, periprosthetic fractures were divided into femur, tibia, and patella fractures, and their causes, risk factors, classification, and treatment are discussed.
Aged ; Arthroplasty ; Arthroplasty, Replacement, Knee ; Classification ; Femur ; Gait ; Hand ; Humans ; Incidence ; Joints ; Knee ; Methods ; Osteoporosis ; Patella ; Periprosthetic Fractures ; Prognosis ; Risk Factors ; Tibia

Although the incidence of postoperative periprosthetic femoral fractures after hip arthroplasty is expected to increase, these complex fractures are still challenging complications. To obtain optimal results for these fractures, thorough clinical and radiographic evaluation, precise classification, and understanding of modern management principles are mandatory. The Vancouver classification system is a simple, effective, and reproducible method for planning proper treatments of these injuries. The fractures associated with a stable femoral stem can be effectively treated with osteosynthesis, though periprosthetic femoral fractures associated with a loose stem require revision arthroplasty. We describe here the principles of proper treatment for the patients with periprosthetic femoral fractures as well as how to avoid complications.
Arthroplasty ; Classification ; Femoral Fractures ; Femur ; Hip ; Humans ; Incidence ; Methods ; Periprosthetic Fractures

OBJECTIVES: The emergence of resistant bacteria is being increasingly reported around the world, potentially threatening millions of lives. Amongst resistant bacteria, methicillin-resistant Staphylococcus aureus (MRSA) is the most challenging to treat. This is due to emergent MRSA strains and less effective traditional antibiotic therapies to Staphylococcal infections. The use of bacteriophages (phages) against MRSA is a new, potential alternate therapy. In this study, morphology, genetic and protein structure of lytic phages against MRSA have been analysed. METHODS: Isolation of livestock and sewage bacteriophages were performed using 0.4 μm membrane filters. Plaque assays were used to determine phage quantification by double layer agar method. Pure plaques were then amplified for further characterization. Sulfate-polyacrylamide gel electrophoresis and random amplification of polymorphic DNA were run for protein evaluation, and genotyping respectively. Transmission electron microscope was also used to detect the structure and taxonomic classification of phage visually. RESULTS: Head and tail morphology of bacteriophages against MRSA were identified by transmission electron microscopy and assigned to the Siphoviridae family and the Caudovirales order. CONCLUSION: Bacteriophages are the most abundant microorganism on Earth and coexist with the bacterial population. They can destroy bacterial cells successfully and effectively. They cannot enter mammalian cells which saves the eukaryotic cells from lytic phage activity. In conclusion, phage therapy may have many potential applications in microbiology and human medicine with no side effect on eukaryotic cells.
Agar ; Bacteria ; Bacteriophages ; Caudovirales ; Classification ; DNA ; Electrophoresis ; Eukaryotic Cells ; Head ; Humans ; Livestock ; Membranes ; Methicillin Resistance ; Methicillin-Resistant Staphylococcus aureus ; Methods ; Microscopy, Electron, Scanning Transmission ; Microscopy, Electron, Transmission ; Sewage ; Siphoviridae ; Staphylococcal Infections ; Tail

PURPOSE: This study was conducted to identify and analyze the trends of theory-based research published in Asian Oncology Nursing (AON) from 2011 to 2017. METHODS: We analyzed 22 theory-based studies taken from among the 232 studies published in AON for 7years. We analyzed the framework developed by researchers, descriptive summaries of theory, keyword classification of nursing meta-paradigms, the generic character of the studies, and the type of research designs. RESULTS: A total of 23 theories were applied in the 22 (9.5%) studies. ‘Nursing’ was the most prevalent field of study (34.8%). In the field of study of theory, nursing theory was the largest with eight (34.8%), and in the method of theory utilization, all 22 studies were theoretical applications 3 middle-range theories were most prevalent. In the keyword classification using meta-paradigm in nursing, we found 83 key words. Among them, ‘Health’ related key words were most frequent (53), followed by ‘Cancer’ keywords (13). CONCLUSION: AON has a high ratio of theoretical study compared to other journals, but the ratio is still less than 10%, which is still weak. Therefore, it is believed that the attention to, utilization of, application, and institutional establishment of nursing theory should be necessary.
Asian Continental Ancestry Group ; Classification ; Humans ; Methods ; Models, Theoretical ; Nursing ; Nursing Theory ; Oncology Nursing ; Research Design

PURPOSE: The aim of this study was to identify the predictive validity of the Korean Triage and Acuity Scale (KTAS). METHODS: This methodological study used data from National Emergency Department Information System for 2016. The KTAS disposition and emergency treatment results for emergency patients aged 15 years and older were analyzed to evaluate its predictive validity through its sensitivity, specificity, positive predictive value, and negative predictive value. RESULTS: In case of death in the emergency department, or where the intensive care unit admission was considered an emergency, the sensitivity, specificity, positive predictive value, and negative predictive value of the KTAS were 0.916, 0.581, 0.097, and 0.993, respectively. In case of death in the emergency department, or where the intensive or non-intensive care unit admission was considered an emergency, the sensitivity, specificity, and positive predictive value, and negative predictive value were 0.700, 0.642, 0.391, and 0.867, respectively. CONCLUSION: The results of this study showed that the KTAS had high sensitivity but low specificity. It is necessary to constantly review and revise the KTAS level classification because it still results in a few errors of under and over-triage. Nevertheless, this study is meaningful in that it was an evaluation of the KTAS for the total cases of adult patients who sought help at regional and local emergency medical centers in 2016.
Adult ; Classification ; Emergencies ; Emergency Service, Hospital ; Emergency Treatment ; Humans ; Information Systems ; Intensive Care Units ; Methods ; Sensitivity and Specificity ; Triage

OBJECTIVES: This study proposes a method for classifying three types of resting membrane potential signals obtained as images through diagnostic needle electromyography (EMG) using TensorFlow-Slim and Python to implement an artificial-intelligence-based image recognition scheme. METHODS: Waveform images of an abnormal resting membrane potential generated by diagnostic needle EMG were classified into three types—positive sharp waves (PSW), fibrillations (Fibs), and Others—using the TensorFlow-Slim image classification model library. A total of 4,015 raw waveform data instances were reviewed, with 8,576 waveform images subsequently collected for training. Images were learned repeatedly through a convolutional neural network. Each selected waveform image was classified into one of the aforementioned categories according to the learned results. RESULTS: The classification model, Inception v4, was used to divide waveform images into three categories (accuracy = 93.8%, precision = 99.5%, recall = 90.8%). This was done by applying the pretrained Inception v4 model to a fine-tuning method. The image recognition model was created for training using various types of image-based medical data. CONCLUSIONS: The TensorFlow-Slim library can be used to train and recognize image data, such as EMG waveforms, through simple coding rather than by applying TensorFlow. It is expected that a convolutional neural network can be applied to image data such as the waveforms of electrophysiological signals in a body based on this study.
Artificial Intelligence ; Boidae ; Classification ; Clinical Coding ; Electromyography ; Membrane Potentials ; Methods ; Needles

OBJECTIVES: To design and validate a computer application for the diagnosis of shoulder locomotor system pathology. METHODS: The first phase involved the construction of the application using the Delphi method. In the second phase, the application was validated with a sample of 250 patients with shoulder pathology. Validity was measured for each diagnostic group using sensitivity, specificity, and positive and negative likelihood ratio (LR(+) and LR(−)). The correct classification ratio (CCR) for each patient and the factors related to worse classification were calculated using multivariate binary logistic regression (odds ratio, 95% confidence interval). RESULTS: The mean time to complete the application was 15 ± 7 minutes. The validity values were the following: LR(+) 7.8 and LR(−) 0.1 for cervical radiculopathy, LR(+) 4.1 and LR(−) 0.4 for glenohumeral arthrosis, LR(+) 15.5 and LR(−) 0.2 for glenohumeral instability, LR(+) 17.2 and LR(−) 0.2 for massive rotator cuff tear, LR(+) 6.2 and LR(−) 0.2 for capsular syndrome, LR(+) 4.0 and LR(−) 0.3 for subacromial impingement/rotator cuff tendinopathy, and LR(+) 2.5 and LR(−) 0.6 for acromioclavicular arthropathy. A total of 70% of the patients had a CCR greater than 85%. Factors that negatively affected accuracy were massive rotator cuff tear, acromioclavicular arthropathy, age over 55 years, and high pain intensity (p < 0.05). CONCLUSIONS: The developed application achieved an acceptable validity for most pathologies. Because the tool had a limited capacity to identify the full clinical picture in the same patient, improvements and new studies applied to other groups of patients are required.
Classification ; Diagnosis ; Humans ; Logistic Models ; Medical Informatics Applications ; Methods ; Pathology ; Radiculopathy ; Rotator Cuff ; Self-Examination ; Sensitivity and Specificity ; Shoulder ; Tears ; Tendinopathy

OBJECTIVE: This study was conducted to evaluate the validity of the International Classification of Diseases, 10th revision (ICD-10) codes for identifying patients who suffered out-of-hospital cardiac arrest (OHCA). METHODS: Consecutive data pertaining to adult patients who suffered OHCA or received ICD-10 codes for cardiac arrest were collected. Patient characteristics and clinical data during the period from January 2015 to December 2016 were obtained. The sensitivity and positive predictive value (PPV) of each code for identifying OHCA were calculated and an optimal algorithm using diagnostic and procedure codes to detect OHCA patients was selected. The kappa coefficient was calculated to examine the agreement between algorithm-detected cases and true OHCA patients. RESULTS: A total of 397 patients were included in this study. The single use of ICD-10 codes was an insensitive method for identifying OHCA patients. Combination of diagnostic codes and procedure codes showed a good sensitivity (98.6%) and PPV (94.8%) for identifying OHCA patients. The agreement between the optimal algorithm and true OHCA was excellent (κ=0.970). CONCLUSION: Using ICD-10 codes for identifying OHCA patients is an insensitive method. The combination of ICD-10 codes and procedure codes can be an alternative search method.
Adult ; Heart Arrest ; Humans ; International Classification of Diseases ; Methods ; Out-of-Hospital Cardiac Arrest