Trends in US Emergency Department Use After Sexual Assault, 2006-2019.

Importance: Adult sexual assault (SA) survivors experience numerous emergent health problems, yet few seek emergency medical care. Quantifying the number and types of survivors presenting to US emergency departments (EDs) after SA can inform health care delivery strategies to reduce survivor morbidity and mortality. Objective: To quantify ED use and factors that influenced seeking ED care for adult SA from 2006 through 2019. Design, Setting, and Participants: This cross-sectional study used SA data from the Nationwide Emergency Department Sample from 2006 through 2019, which includes more than 35.8 million observations of US ED visits from 989 hospitals, a 20% stratified sample of hospital-based EDs. The study also used the Federal Bureau of Investigation's Uniform Crime Reporting Program, which includes annual crime data from more than 18 000 law enforcement agencies representing more than 300 million US inhabitants. The study sample included any adult aged 18 to 65 years with an ED visit in the Nationwide Emergency Department Sample coded as SA. The data were analyzed between January 2020 and June 2022. Main Outcomes and Measures: Annual SA-related ED visits, subsequent hospital admissions, and associated patient-related factors (age, sex, race and ethnicity, income quartile, and insurance) were analyzed using descriptive statistics. Results: Data were from 120 to 143 million weighted ED visits reported annually from 2006 through 2019. Sexual assault-related ED visits increased more than 1533.0% from 3607 in 2006 to 55 296 in 2019. Concurrently, admission rates for these visits declined from 12.6% to 4.3%. Female, younger, and lower-income individuals were more likely to present to the ED after SA. Older and Medicaid-insured patients were more likely to be admitted. Overall, the rate of ED visits for SA outpaced law enforcement reporting. Conclusions and Relevance: This cross-sectional study found that US adult SA ED visits increased from 2006 through 2019 and highlighted the populations who access emergency care most frequently and who more likely need inpatient care. These data can inform policies and the programming needed to support this vulnerable population.

An online community improves adherence in an internet-mediated walking program. Part 1: results of a randomized controlled trial.

BACKGROUND: Approximately half of American adults do not meet recommended physical activity guidelines. Face-to-face lifestyle interventions improve health outcomes but are unlikely to yield population-level improvements because they can be difficult to disseminate, expensive to maintain, and inconvenient for the recipient. In contrast, Internet-based behavior change interventions can be disseminated widely at a lower cost. However, the impact of some Internet-mediated programs is limited by high attrition rates. Online communities that allow participants to communicate with each other by posting and reading messages may decrease participant attrition. OBJECTIVE: Our objective was to measure the impact of adding online community features to an Internet-mediated walking program on participant attrition and average daily step counts. METHODS: This randomized controlled trial included sedentary, ambulatory adults who used email regularly and had at least 1 of the following: overweight (body mass index [BMI] ≥ 25), type 2 diabetes, or coronary artery disease. All participants (n = 324) wore enhanced pedometers throughout the 16-week intervention and uploaded step-count data to the study server. Participants could log in to the study website to view graphs of their walking progress, individually-tailored motivational messages, and weekly calculated goals. Participants were randomized to 1 of 2 versions of a Web-based walking program. Those randomized to the "online community" arm could post and read messages with other participants while those randomized to the "no online community" arm could not read or post messages. The main outcome measures were participant attrition and average daily step counts over 16 weeks. Multiple regression analyses assessed the effect of the online community access controlling for age, sex, disease status, BMI, and baseline step counts. RESULTS: Both arms significantly increased their average daily steps between baseline and the end of the intervention period, but there were no significant differences in increase in step counts between arms using either intention-to-treat or completers analysis. In the intention-to-treat analysis, the average step count increase across both arms was 1888 ± 2400 steps. The percentage of completers was 13% higher in the online community arm than the no online community arm (online community arm, 79%, no online community arm, 66%, P = .02). In addition, online community arm participants remained engaged in the program longer than no online community arm participants (hazard ratio = 0.47, 95% CI = 0.25 - 0.90, P = .02). Participants with lower baseline social support posted more messages to the online community (P < .001) and viewed more posts (P < .001) than participants with higher baseline social support. CONCLUSION: Adding online community features to an Internet-mediated walking program did not increase average daily step counts but did reduce participant attrition. Participants with low baseline social support used the online community features more than those with high baseline social support. Thus, online communities may be a promising approach to reducing attrition from online health behavior change interventions, particularly in populations with low social support. TRIAL REGISTRATION: NCT00729040; http://clinicaltrials.gov/ct2/show/NCT00729040 (Archived by WebCite at http://www.webcitation.org/5v1VH3n0A).

A randomized trial comparing structured and lifestyle goals in an internet-mediated walking program for people with type 2 diabetes.

BACKGROUND: The majority of individuals with type 2 diabetes do not exercise regularly. Pedometer-based walking interventions can help; however, pedometer-based interventions targeting only total daily accumulated steps might not yield the same health benefits as physical activity programs specifying a minimum duration and intensity of physical activity bouts. METHODS: This pilot randomized trial compared two goal-setting strategies: 1) lifestyle goals targeting total daily accumulated step counts and 2) structured goals targeting bout steps defined as walking that lasts for 10 minutes or longer at a pace of at least 60 steps per minute. We sought to determine which goal-setting strategy was more effective at increasing bout steps. Participants were sedentary adults with type 2 diabetes. All participants: wore enhanced pedometers with embedded USB ports; uploaded detailed, time-stamped step-count data to a website called Stepping Up to Health; and received automated step-count feedback, automatically calculated goals, and tailored motivational messages throughout the six-week intervention. Only the automated goal calculations and step-count feedback differed between the two groups. The primary outcome of interest was increase in steps taken during the previously defined bouts of walking (lasting at least 10 minutes or longer at a pace of at least 60 steps per minute) between baseline and end of the intervention. RESULTS: Thirty-five participants were randomized and 30 (86%) completed the pilot study. Both groups significantly increased bout steps, but there was no statistically significant difference between groups. Among study completers, bout steps increased by 1921 +/- 2729 steps a day. Those who received lifestyle goals were more satisfied with the intervention (p = 0.006) and wore the pedometer more often (p < 0.001) than those who received structured goals. CONCLUSION: In this six-week intervention, Lifestyle Goals group participants achieved increases in bout steps comparable to the increases seen in the Structured Goals group, representing almost a mile a day of additional moderate intensity bout activity. Pedometer-based walking programs that emphasize total accumulated step counts are more acceptable to participants and are as effective at increasing moderate intensity bouts of physical activity as programs that use structured goals. TRIAL REGISTRATION: NCT00151021.