Effects of Hospital Volume on Patient Outcomes and Costs in Infants With Pyloric Stenosis.

BACKGROUND: There is a well-established relationship between surgical volume and outcomes after complex pediatric operations. However, this relationship remains unclear for common pediatric procedures. The aim of our study was to investigate the effect of hospital volume on outcomes after hypertrophic pyloric stenosis (HPS). METHODS: The Kid's Inpatient Database (2003-2012) was queried for patients with congenital HPS, who underwent pyloromyotomy. Hospitals were stratified based on case volume. Low-volume hospitals performed the lowest quartile of pyloromyotomies per year and high-volume hospitals managed the highest quartile. Outcomes included complications, mortality, length of stay (LOS), and cost. RESULTS: Overall, 2137 hospitals performed 51,792 pyloromyotomies. The majority were low-volume hospitals (n = 1806). High-volume hospitals comprised mostly children's hospitals (68%) and teaching hospitals (96.1%). The overall mortality rate was 0.1% and median LOS was 2 d. High-volume hospitals had lower overall complications (1.8% versus 2.5%, P < 0.01) and fewer patients with prolonged LOS (17.0% versus 23.5%, P < 0.01) but had similar rates of individual complications, similar mortality, and equivalent median LOS as low-volume hospitals. High-volume hospitals also had higher costs by $1132 per patient ($5494 versus $4362, P < 0.01). Regional variations in outcomes and costs exist with higher complication rates in the West and lower costs in the South. There was no association between mortality or LOS with hospital volume or region. CONCLUSIONS: Patients with pyloric stenosis treated at high-volume hospitals had no clinically significant difference in outcomes despite having higher costs. Although high-volume hospitals offer improved outcomes after complex pediatric surgeries, they may not provide a significant advantage over low-volume hospitals in managing common pediatric procedures, such as pyloromyotomy for congenital HPS.

Is there referral bias in outcomes of septal myectomy for hypertrophic cardiomyopathy?

PURPOSE: To determine the potential impact of referral bias on short- and long-term outcomes following septal myectomy for hypertrophic cardiomyopathy. METHODS: We reviewed 2303 adult patients who underwent transaortic septal myectomy for obstructive hypertrophic cardiomyopathy from January 1993 to April 2016. Patients were divided into 3 groups according to their permanent address: local (state) residents (n = 324), regional (surrounding 5 states) patients (n = 515), and national (outside 5 states) patients (n = 1464). RESULTS: Patient groups were similar for age, sex, preoperative New York Heart Association class, and left ventricular ejection fraction. Local patients had increased prevalence of diabetes mellitus (13%, 11%, 8%; P = .006), coronary artery disease (25%, 21%, 19%; P = .031), severe chronic lung disease (2.3%, 1.9%, 0.4%; P < .001), and atrial fibrillation (24%, 18%, 19%; P = .045) when compared with regional and national patients. Echocardiographic features did not differ between the 3 groups, including prevalence of moderate or greater mitral regurgitation (59%, 61%, 56%; P = .161). Local and regional patients were more likely to undergo concomitant procedures than national patients (P < .001). Mitral valve surgery was performed in 9.6% of the patients, more commonly in local and regional patients (12%, 12%, 8%; P = .018). There were 11 operative deaths (0.5%), and early mortality was similar among the groups. Geographic origin did not impact overall late survival. CONCLUSIONS: Compared with distant referrals, local patients who undergo septal myectomy at our institution have more comorbid conditions, and require more concomitant surgical procedures. Despite these differences, referral patterns did not impact early or late outcomes following transaortic septal myectomy.

Effect of Shared Decision-Making for Stroke Prevention on Treatment Adherence and Safety Outcomes in Patients With Atrial Fibrillation: A Randomized Clinical Trial.

Background Guidelines promote shared decision-making (SDM) for anticoagulation in patients with atrial fibrillation. We recently showed that adding a within-encounter SDM tool to usual care (UC) increases patient involvement in decision-making and clinician satisfaction, without affecting encounter length. We aimed to estimate the extent to which use of an SDM tool changed adherence to the decided care plan and clinical safety end points. Methods and Results We conducted a multicenter, encounter-level, randomized trial assessing the efficacy of UC with versus without an SDM conversation tool for use during the clinical encounter (Anticoagulation Choice) in patients with nonvalvular atrial fibrillation considering starting or reviewing anticoagulation treatment. We conducted a chart and pharmacy review, blinded to randomization status, at 10 months after enrollment to assess primary adherence (proportion of patients who were prescribed an anticoagulant who filled their first prescription) and secondary adherence (estimated using the proportion of days for which treatment was supplied and filled for direct oral anticoagulant, and as time in therapeutic range for warfarin). We also noted any strokes, transient ischemic attacks, major bleeding, or deaths as safety end points. We enrolled 922 evaluable patient encounters (Anticoagulation Choice=463, and UC=459), of which 814 (88%) had pharmacy and clinical follow-up. We found no differences between arms in either primary adherence (78% of patients in the SDM arm filled their first prescription versus 81% in UC arm) or secondary adherence to anticoagulation (percentage days covered of the direct oral anticoagulant was 74.1% in SDM versus 71.6% in UC; time in therapeutic range for warfarin was 66.6% in SDM versus 64.4% in UC). Safety outcomes, mostly bleeds, occurred in 13% of participants in the SDM arm and 14% in the UC arm. Conclusions In this large, randomized trial comparing UC with a tool to promote SDM against UC alone, we found no significant differences between arms in primary or secondary adherence to anticoagulation or in clinical safety outcomes. Registration URL: https://www.clinicaltrials.gov; Unique identifier: clinicaltrials.gov. Identifier: NCT02905032.

Epidemiology of Pediatric Baseball and Softball Player Injuries.

BACKGROUND: Baseball and softball are popular sports in the United States and are responsible for a large number of youth sports injuries each year. PURPOSE: To investigate recent differences in youth baseball and softball injuries evaluated in nationwide emergency departments. STUDY DESIGN: Descriptive epidemiology study. METHODS: The National Electronic Injury Surveillance System (NEISS) database was examined for softball and baseball injuries in pediatric patients (age, 7-21 years) from 2010 through 2019. Patients were classified as children (age, 7-13 years), adolescents (age, 14-18 years), or young adults (age, 19-21 years). Case narratives were used to categorize injuries as contact injuries (hit by bat or ball), field injuries (sliding into base, collision with another player, catching, or running), throwing injuries, or other. RESULTS: An unweighted total of 24,717 baseball injuries and 13,162 softball injuries were recorded. A nationwide estimate of 861,456 baseball injuries and 511,117 softball injuries were sustained during the studied time period, with estimated respective injury rates of 86,146 and 51,112 per year. Injured softball players were most commonly adolescent (47%) and female (92%), while injured baseball players were most commonly children (54%) and male (90%). There was a greater proportion of baseball-related injuries involving the head/neck (41%) as compared with softball-related injuries (30%) (P < .01). Conversely, a greater proportion of softball-related injuries involved the lower extremity (32%) as compared with baseball-related injuries (19%) (P < .01). When comparing diagnosis, softball injuries were more often sprains/strains (28%) than baseball injuries (18%) (P < .01). When comparing mechanisms of injury, baseball athletes were more likely to be evaluated with contact injuries than were softball athletes (49% vs 40%, P < .01). CONCLUSION: Youth baseball athletes were more likely to be injured through contact mechanisms and had a higher proportion of injuries related to the head/neck/face, whereas softball injuries more frequently involved the lower extremity and resulted in a sprain/strain. League guidelines should focus on reducing contact injuries within youth baseball, and injury-prevention programs should focus on reducing lower extremity injuries in youth softball.

Nitrogen dioxide exposures from LPG stoves in a cleaner-cooking intervention trial.

BACKGROUND: Liquefied petroleum gas (LPG) stoves have been promoted in low- and middle-income countries (LMICs) as a clean energy alternative to biomass burning cookstoves. OBJECTIVE: We sought to characterize kitchen area concentrations and personal exposures to nitrogen dioxide (NO2) within a randomized controlled trial in the Peruvian Andes. The intervention included the provision of an LPG stove and continuous fuel distribution with behavioral messaging to maximize compliance. METHODS: We measured 48-hour kitchen area NO2 concentrations at high temporal resolution in homes of 50 intervention participants and 50 control participants longitudinally within a biomass-to-LPG intervention trial. We also collected 48-hour mean personal exposures to NO2 among a subsample of 16 intervention and 9 control participants. We monitored LPG and biomass stove use continuously throughout the trial. RESULTS: In 367 post-intervention 24-hour kitchen area samples of 96 participants' homes, geometric mean (GM) highest hourly NO2 concentration was 138 ppb (geometric standard deviation [GSD] 2.1) in the LPG intervention group and 450 ppb (GSD 3.1) in the biomass control group. Post-intervention 24-hour mean NO2 concentrations were a GM of 43 ppb (GSD 1.7) in the intervention group and 77 ppb (GSD 2.0) in the control group. Kitchen area NO2 concentrations exceeded the WHO indoor hourly guideline an average of 1.3 h per day among LPG intervention participants. GM 48-hour personal exposure to NO2 was 5 ppb (GSD 2.4) among 35 48-hour samples of 16 participants in the intervention group and 16 ppb (GSD 2.3) among 21 samples of 9 participants in the control group. DISCUSSION: In a biomass-to-LPG intervention trial in Peru, kitchen area NO2 concentrations were substantially lower within the LPG intervention group compared to the biomass-using control group. However, within the LPG intervention group, 69% of 24-hour kitchen area samples exceeded WHO indoor annual guidelines and 47% of samples exceeded WHO indoor hourly guidelines. Forty-eight-hour NO2 personal exposure was below WHO indoor annual guidelines for most participants in the LPG intervention group, and we did not measure personal exposure at high temporal resolution to assess exposure to cooking-related indoor concentration peaks. Further research is warranted to understand the potential health risks of LPG-related NO2 emissions and inform current campaigns which promote LPG as a clean-cooking option.

Tobacco perceptions and practices: User groups and demographic characteristics, Mississippi, USA.

INTRODUCTION: Despite decreases in the overall US smoking rate, tobacco use remains more common in some areas and by some groups. Deeper understanding of group differences is needed in order to tailor public health campaigns to the interests, perceptions and experiences of targeted audiences. Although some differences have been identified across African American and Caucasian smokers in the United States, additional insight is needed regarding factors that differentiate these groups. This study examined tobacco-related perceptions and practices, with an emphasis on identifying differences across African American and Caucasian smokers. Toward this goal, we examined key demographic variables of race and age, and tobacco use characteristics. METHODS: The sample consisted of 284 people from the Jackson, Mississippi area who participated in focus groups and completed surveys addressing a variety of tobacco-related topics, including knowledge and perceptions of products as well as use and health information seeking behavior. The selection criteria and recruitment approach ensured a balance across race (black, white), age (18-34, >35 years), sex, and cigarette smoking status (current, former, never). Statistical analyses were performed using SAS (v.9.4). RESULTS: Differences were observed across demographic subgroups regarding type and pattern of tobacco products used (e.g. mentholated, markers of nicotine dependence, hookah). Differences in preferred sources of health information based on age as well as perceptions of risk as a function of age, smoking status and race were also noted. Exposure to secondhand smoke and perceptions of its risks, quitting efforts and cessation methods differed by race. CONCLUSIONS: Study findings suggest key differences across important subgroups. Knowledge of such differences has the potential to improve strategic public health messaging, allowing health campaigns to more effectively prevent tobacco product uptake as well as promote interest in quitting tobacco.

Dual Users and Electronic Cigarette Only Users: Consumption and Characteristics.

BACKGROUND: E-cigarette use has grown in popularity, especially as the devices have been touted as smoking cessation tools. In an exploratory study, we sought to compare dual users (i.e., users of both combustible tobacco and e-cigarettes) to e-cigarette only users. METHODS: The Electronic Cigarette Opinion Survey (ECOS) was employed to assess users' (n=78) perceptions and consumption of e-cigarettes and combustible cigarettes. Quantity of e-juice and nicotine used and time of initial nicotine exposure were assessed. Multivariable logistic regression was used to evaluate the association between e-cigarette use behaviors and being an e-cigarette only user compared to a dual user. RESULTS: Compared to dual users, e-cigarette only users consumed higher levels of nicotine in e-juice (p=0.0009) and more nicotine per month (p=0.03). For dual users, the time of first nicotine exposure after waking was significantly earlier than for e-cigarette only users (mean= 9.6 minutes (SD= 8.0) and mean= 26.6 minutes (SD= 22.0), respectively; p=0.0056). Results from the regression models suggest the amount of e-juice consumed and time of first nicotine exposure after waking are significantly associated with being an e-cigarette only user. CONCLUSIONS: These findings shed light on the perceptions and use patterns of e-cigarette only users compared to dual users. As regulation of e-cigarettes is considered, understanding the impact of e-cigarettes and dual use is imperative. Despite frequent marketing claims that e-cigarettes are completely safe, health campaigns need to convey emerging and mixed findings on safety as well as current scientific uncertainty to the public.

E-cigarette use and perceived health change: Better health through vaping?

INTRODUCTION: As e-cigarette use increases, questions about individual and public health effects remain unanswered (e.g. cessation tool, addiction path). Despite increasing use, few studies have focused on vape shop patrons. This study examined whether vape shop patrons believe their health is affected by the use of e-cigs; more specifically, the aim was to evaluate the association between e-cig use, change in tobacco use, and perception of health. METHODS: A survey of e-cig users (N=78) was conducted in vape shops. Questions included e-cig and traditional tobacco use, health perceptions, and demographics. Descriptive techniques were used to characterize participants as either those who perceived e-cig use improved their health or those who perceived their health unaffected. Logistic regression assessed the association between change in tobacco use, e-cig use, and perception of health effects. RESULTS: Most reported daily e-cig (91%) and current (11.5%) or former (78.2%) combustible cigarette use. Approximately, three-fourths (76.9%) perceived better health; the remainder (23.1%) perceived unaffected health. Change in cigarette use was significantly associated with perceptions that health is better with e-cig use. Participants who decreased cigarette use by 2-3 cartons/month and more than 3 cartons/month were significantly more likely to indicate that e-cig use has improved their health compared to those who decreased tobacco use by 1.5 cartons or fewer per month (OR=4.35, 95% CI: 1.13-16.9; OR=25.67, 95% CI: 2.97-221.7, respectively). CONCLUSIONS: The majority of e-cig users perceived better health. Our findings suggest that health campaign designers should carefully assess the scientific uncertainty surrounding the use of these devices and consider means to clearly convey this information. Given the lack of scientific agreement on the health effects of e-cigs and the important role that perceptions play in behavior, health campaign designers, health education practitioners, policy makers, and health care providers should err on the side of caution when advising individuals about e-cig use.

Clean, cheap, convenient: promotion of Electronic cigarettes on YouTube.

INTRODUCTION: Videos promoting electronic cigarettes (e-cigarettes) can be easily accessed on YouTube. Marketing claims present in YouTube videos may help shape the public's opinion of e-cigarettes. Thus, it is important to understand the most frequent marketing claims and video sources. METHODS: The objectives of this study were to 1) identify marketing claims in YouTube videos that are commonly made on e-cigarette retail websites and 2) compare the frequency of marketing claims in user-generated and professional YouTube videos. Through content analysis, this study evaluated six marketing claims and descriptive information about YouTube videos (n = 50) related to "electronic cigarettes" and "vape". RESULTS: Overall, the most frequent marketing claim promoted e-cigarette use as better than traditional tobacco use (52%). Approximately 65% of videos appeared to be user-generated and 35% were professionally-produced. Compared to user-generated videos, significantly more professional videos made claims that e-cigarettes are cleaner (p < 0.001) and cheaper (p = 0.04) than traditional cigarettes. Additionally, more professional videos had claims promoting e-cigarettes as better than traditional cigarettes because of their convenience-the user can smoke anywhere (p < 0.0001) and the products do not produce secondhand smoke (p < 0.001). The most frequent claim in user-generated videos was related to recreation (53%). CONCLUSIONS: Videos on YouTube promote e-cigarettes as safer than other tobacco products. Videos appearing to be user-generated contained different marketing claims compared to professional videos. Further research is necessary to assess how the perceived source of the video impacts the ways these marketing claims shape public perception and influence use.