Inappropriate prescribing of opioids for patients undergoing surgery.

In response to the opioid epidemic in the United States, states have passed policies aimed at regulating how opioids are prescribed by physicians. For such policies to be effective, however, opioids must be prescribed to the patients for whom they are intended. Whether opioid prescriptions are written for those who are not intended to consume them is empirically difficult to show. In a commercially insured population, we examined opioid prescriptions written for and filled by spouses of patients undergoing outpatient surgery on the day of a patient's surgery compared with the surrounding days. Because patients may be unable to fill prescriptions themselves immediately after surgery, surgeons may prescribe opioids to a patient's spouse, which would be clinically inappropriate. Among 450,125 opioid-naïve couples studied, for patients who did not fill perioperative opioid prescriptions themselves, the rate of spousal fills on the day of surgery (DOS) was 2.39 fills per 1,000 surgeries compared with 0.44 fills on all other perioperative days (adjusted odds ratio (aOR), 5.5, 95% CI, 4.6-6.5). Increases in spousal opioid fills were not present for patients that filled opioid prescriptions themselves. These findings suggest intentional, clinically inappropriate prescribing of opioids.

Potential health risks to disinfection workers from exposure to active substances in COVID-19 biocidal products.

The importance of disinfection has recently been emphasized due to the increasing risk of the spread of infections such as coronavirus disease-2019 (COVID-19). In addition, disinfection for preventing the spread of COVID-19 is highly recommended. The increased use of biocidal products raises concerns regarding the potential health risks from exposure among disinfection workers. This study aimed to assess these exposure and health risks using questionnaires targeting disinfection workers who were exposed to the active substances in biocidal products used for disinfection during the COVID-19 pandemic. A follow-up survey was conducted among 271 disinfection workers for 10 working days within two weeks, and exposure factors with reference to disinfection were evaluated through interview-administered questionnaires. An exposure algorithm was used to evaluate the exposure of disinfection workers during disinfection. The hazard index (HI) was calculated by dividing the inhalation concentration obtained using the exposure algorithm and the dermal dose according to occupational exposure limits (OEL). A sensitivity analysis was conducted to identify the exposure factors with the greatest impact on the inhalation and dermal exposure algorithms. A logistic regression analysis was performed to verify the relationship with health effects and sociodemographic and exposure characteristics. The average number of disinfections performed during 10 working days was 17.5 ± 12.3 times. The type of disinfection work was divided into 2806 cases of COVID-19 prevention and disinfection and 1956 cases of regular pesticide application to prevent and remove any pests. The HI was ≥1, indicating a potential health risk, with the use of ethanol (6.50E+00), quaternary ammonium compounds (QACs; 1.49E+01), and benzalkonium chloride (BKC; 1.73E+00). Dermal exposure was more hazardous than inhalation exposure for 6 of the 11 active substances in biocidal products. The weight fraction and exposure time were the factors that most significantly influenced the inhalation and dermal exposure algorithms in the sensitivity analysis. Higher exposure concentrations were more likely to affect health (AOR: 3.239, 95% CI: 1.155-9.082). This study provides valuable information regarding the exposure and risk of disinfection workers to 11 biocidal active substances included in common disinfectants. Our results suggest that the use of ethanol, BKC, and QACs has potential health risks to disinfection workers, with a higher possibility of negative health impacts with increasing exposure concentration.

An Empirical Assessment of Reviewer 2.

According to research lore, the second peer reviewer (Reviewer 2) is believed to rate research manuscripts more harshly than the other reviewers. The purpose of this study was to empirically investigate this common belief. We measured word count, positive phrases, negative phrases, question marks, and use of the word "please" in 2546 open peer reviews of 796 manuscripts published in the British Medical Journal. There was no difference in the content of peer reviews between Reviewer 2 and other reviewers for word count (630 vs 606, respectively, P = .16), negative phrases (8.7 vs 8.4, P = .29), positive phrases (4.2 vs 4.1, P = .10), question marks (4.8 vs 4.6, P = .26), and uses of "please" (1.0 vs 1.0, P = .86). In this study, Reviewer 2 provided reviews of equal sentiment to other reviewers, suggesting that popular beliefs surrounding Reviewer 2 may be unfounded.

Adverse Events And Emergency Department Opioid Prescriptions In Adolescents.

Understanding the risks associated with opioid prescription in adolescents is critical for informing opioid policy, but the risks are challenging to quantify given the lack of randomized trial data. Using a regression discontinuity design, we exploited a discontinuous increase in opioid prescribing in the emergency department (ED) when adolescents transition from "child" to "adult" at age eighteen to estimate the effect of an ED opioid prescription on subsequent opioid-related adverse events. We found that adolescent patients just over age eighteen were similar to those just under age eighteen, but they were 9.7 percent more likely to be prescribed an opioid and 12.6 percent more likely to have an adverse opioid-related event, defined as overdose, diagnosis of opioid use disorder, or long-term opioid use, within one year. We estimated a 14.1 percent increased risk for an adverse outcome when "adults" just over age eighteen were prescribed opioids that would not have been prescribed if they were just under age eighteen and considered "children." Our results suggest that differences in care provided in pediatric versus adult care settings may be important to understanding prescribers' roles in the opioid epidemic.

Association of Maternal Cervical Disease With Human Papillomavirus Vaccination Among Offspring.

Importance: Barriers to childhood vaccination against vaccine-preventable diseases, such as those due to human papillomavirus (HPV), are well known. However, the role of salience bias-the change in perception of risk due to increased familiarity with the outcome-in decisions to vaccinate children has not been explicitly studied. Objective: To assess for salience bias in parental decisions to vaccinate children. Design, Setting, and Participants: This retrospective cohort study used a time-to-event (survival) analysis to compare vaccination rates of children whose mothers had a history of cervical cancer or a cervical biopsy, who have experienced adverse vaccine-preventable outcomes, and for whom vaccination may be more salient, with a control group of children whose mothers had no such history. Participants were accrued from the MarketScan Commercial Database, including US children who turned 11 years old, when HPV vaccination is recommended, from January 1, 2014, to December 31, 2018. Data were analyzed from December 29, 2020, to September 17, 2021. Exposures: Maternal history of cervical cancer or cervical biopsy. Main Outcomes and Measures: Vaccination against HPV. Results: A total of 757 428 children (370 878 girls [49.0%] and 386 550 boys [51.0%]) were identified, of whom 38 366 had mothers with a history of cervical biopsy alone and 1084 had mothers with a history of cervical cancer. Overall, 54.2% of children (55.7% of girls and 52.7% of boys) received at least 1 vaccination by 16 years of age. In a time-to-event analysis, HPV vaccination did not differ between children whose mothers had cervical cancer vs those whose mothers did not (hazard ratio [HR] for girls, 0.99 [95% CI, 0.86-1.13]; HR for boys, 1.08 [95% CI, 0.94-1.24]). Maternal history of cervical biopsy was associated with a minimally increased hazard of vaccination (HR for girls, 1.06 [95% CI, 1.04-1.09]; HR for boys, 1.04 [95% CI, 1.01-1.06]). There were no clinically meaningful differences between groups for the tetanus/diphtheria/acellular pertussis and meningococcal vaccinations, which are also recommended at 11 years of age. Conclusions and Relevance: In this analysis of salience bias in childhood vaccination decisions, mothers' personal history of cervical cancer or cervical biopsy was not associated with greater vaccination rates among children against HPV. These findings suggest that salience of vaccine-preventable outcomes may not have a major impact on childhood vaccine hesitancy in HPV; the role of salience should be investigated for other vaccines.

The need for speed: observational study of physician driving behaviors.

OBJECTIVE: To determine whether fast driving, luxury car ownership, and leniency by police officers differ across medical specialties. DESIGN: Observational study. SETTING: Florida, USA. PARTICIPANTS: 5372 physicians and a sample of 19 639 non-physicians issued a ticket for speeding during 2004-17. MAIN OUTCOME MEASURES: Observed rates of extreme speeding (defined as driving >20 mph above the speed limit), luxury car ownership, and leniency of the speeding ticket by police officers, by physician specialty, after adjustment for age and sex. RESULTS: The sample included 5372 physicians who received 14 560 speeding tickets. The proportion of drivers who were reported driving at speeds greater than 20 mph was similar between physicians and a sample of 19 639 non-physicians who received a ticket for speeding (26.4% v 26.8% of tickets, respectively). Among physicians who received a ticket, psychiatrists were most likely to be fined for extreme speeding (adjusted odds ratio of psychiatry compared with baseline specialty of anesthesia 1.51, 95% confidence interval 1.07 to 2.14). Among drivers who received a ticket, luxury car ownership was most common among cardiologists (adjusted proportion of ticketed cardiologists who owned a luxury car 40.9%, 95% confidence interval 35.9% to 45.9%) and least common among physicians in emergency medicine, family practice, pediatrics, general surgery, and psychiatry (eg, adjusted proportion of luxury car ownership among family practice physicians 20.6%, 95% confidence interval 18.2% to 23.0%). Speed discounting, a marker of leniency by police officers in which ticketed speed is recorded at just below the threshold at which a larger fine would otherwise be imposed, was common, but rates did not differ by specialty and did not differ between physicians and a sample of non-physicians. CONCLUSIONS: Rates of extreme speeding were highest among psychiatrists who received a ticket, whereas cardiologists were the most likely to be driving a luxury car when ticketed. Leniency by police officers was similar across specialties and between physicians and non-physicians.

CASS: A distributed network clustering algorithm based on structure similarity for large-scale network.

As the size of networks increases, it is becoming important to analyze large-scale network data. A network clustering algorithm is useful for analysis of network data. Conventional network clustering algorithms in a single machine environment rather than a parallel machine environment are actively being researched. However, these algorithms cannot analyze large-scale network data because of memory size issues. As a solution, we propose a network clustering algorithm for large-scale network data analysis using Apache Spark by changing the paradigm of the conventional clustering algorithm to improve its efficiency in the Apache Spark environment. We also apply optimization approaches such as Bloom filter and shuffle selection to reduce memory usage and execution time. By evaluating our proposed algorithm based on an average normalized cut, we confirmed that the algorithm can analyze diverse large-scale network datasets such as biological, co-authorship, internet topology and social networks. Experimental results show that the proposed algorithm can develop more accurate clusters than comparative algorithms with less memory usage. Furthermore, we confirm the proposed optimization approaches and the scalability of the proposed algorithm. In addition, we validate that clusters found from the proposed algorithm can represent biologically meaningful functions.