Predicting Medical Event Occurrence Using Medical Insurance Claims Big Data.

Medical events are often infrequent, thus becomes hard to predict. In this paper, we focus on predictor that forecasts whether a medical event would occur in the next year, and analyzes the impact of event's frequency and data size via predictor's performance. In the experiment, we made 1572 predictors for medical events using Medical Insurance Claims (MICs) data from 800,000 participants and 205.8 million claims over 8 years. The result revealed that (a) forecasting error will be increased when predicting low-frequency events, and (b) increasing the number of training dataset reduces errors. This result suggests that increasing data size is a key to solve low frequency problems. However, we still need additional methods to cope with sparse and imbalanced data.

Analyzing Patient-Sharing Network Using an Administrative Claim Database in Japan.

We analyzed the behavior of patient with a focus on patient-sharing based on the methodology of network analysis. We used an administrative healthcare claims database from September of the years 2008-2020 to identify shared patients with hypertension. The patients' behavior of visiting multiple medical facilities was extracted as graphical data, and we calculated density and centrality as indicators to evaluate the structure of the patient sharing network. Our findings indicate that density, reciprocity, and transitivity increased over time, and that centrality and PageRank were correlated.

The five-year trends in antibiotic prescription by dentists and antibiotic prophylaxis for tooth extraction: a region-wide claims study in Japan.

BACKGROUND: Antimicrobial stewardship in dentistry and antibiotic prophylaxis for tooth extraction have been areas of concern in Japan, with limited research available. METHODS: This cross-sectional study utilized the regional health insurance claims database in Japan to examine antibiotic prescription trends by dentists, including antibiotic regimens, timing of prescription, and days of supply for prophylactic antibiotic use during tooth extraction. Antibiotic prophylaxis for patients with prosthetic heart valves was also investigated. FINDINGS: Antibiotic prescriptions by dentists decreased by 7% in 2019 compared to those in 2015, with third-generation cephalosporins still accounting for 48.5% in 2019. Amoxicillin prescription increased 3.9 times in 2019, although it only accounted for 8.4% of all antibiotic prescriptions. In 2019, amoxicillin was prescribed for 17.1% of all prophylactic antibiotics associated with tooth extraction, and 80% of prophylactic antibiotics were prescribed for 3 days or more, with 85% prescribed on the day of the procedure. However, only 60-70% of patients with prosthetic heart valves received antibiotic prophylaxis. INTERPRETATION: Despite the increasing trend after the implementation of the National Action Plan on antimicrobial resistance, the proportion of amoxicillin prescriptions in dentistry remains low. Antimicrobial stewardship issues related to long-term prescription and timing of administration of prophylactic antibiotics for tooth extraction should be addressed. Dentists must recognize the risks associated with high-risk patients with prosthetic heart valves who require antibiotic prophylaxis, and physicians providing valve replacement therapy should inform patients of the requirement for prophylaxis before invasive dental procedures.

Infants' interoception is associated with eye contact in dyadic social interactions.

Interoception, that is, the perception of visceral stimuli, is the basis of socio-emotional development. However, no studies have demonstrated the relationship between the two in infants. This study aimed to elucidate the relationship between interoception and social behavior in infants and mothers. Visual preference for cardio-visual synchronous and asynchronous stimuli was assessed using a preferential-looking paradigm in 6-month infants and their mothers. The infant-mother interaction was also measured to assess social behavior, such as eye contact and positive facial expressions. The results showed that infants looked at asynchronous cardio-visual stimuli longer than synchronous cardio-visual stimuli, whereas mothers looked at synchronous cardio-visual stimuli longer than asynchronous cardio-visual stimuli. The proportion of looking time toward asynchronous cardio-visual stimuli in infants was positively correlated with infant-mother gaze and affect (positive facial expression) synchrony. Furthermore, mediation analyses showed that the relationship between infants' interoception and eye contact behavior is attributable to mother's positive facial expression. Our findings suggest that in infant-mother interactions, infants' interoception may play a role in eye contact behavior through the mother's positive facial expression, highlighting the importance of infants' interoception on social cognitive development.