Screening for Intimate Partner Violence in a Pediatric ED: A Quality Improvement Initiative.

Objective: Intimate partner violence (IPV) is a serious public health concern and impacts the entire family unit, particularly children. We implemented an IPV screening and referral program in an urban pediatric emergency department (ED) and aimed to screen 30% of patient families for IPV by January 1, 2017.

Methods: We used a quality improvement initiative using a nonverbal screening card to screen families when the caregiver was the sole adult present and spoke English and/or Spanish, and the patient was medically stable.

Online Reviews of Specialized Drug Treatment Facilities-Identifying Potential Drivers of High and Low Patient Satisfaction.

Background: Despite the importance of high-quality and patient-centered substance use disorder treatment, there are no standardized ratings of specialized drug treatment facilities and their services. Online platforms offer insights into potential drivers of high and low patient experience.

Objective: We sought to analyze publicly available online review content of specialized drug treatment facilities and identify themes within high and low ratings.

Capturing Real-Time Emergency Department Sentiment: A Feasibility Study Using Touch-Button Terminals.

Study Objective: Providing care in emergency departments (EDs) affects patients and providers. Providers experience high rates of work-related stress. Little is known about the feasibility of measuring real-time sentiment within busy clinical environments.

Estimating the Health-Related Quality of Life of Twitter Users Using Semantic Processing.

Social media presents a rich opportunity to gather health information with limited intervention through the analysis of completely unstructured and unlabeled microposts. We sought to estimate the health-related quality of life (HRQOL) of Twitter users using automated semantic processing methods. We collected tweets from 878 Twitter users recruited through online solicitation and in-person contact with patients.

Patients' willingness to share digital health and non-health data for research: a cross-sectional study.

Background: Patients generate large amounts of digital data through devices, social media applications, and other online activities. Little is known about patients' perception of the data they generate online and its relatedness to health, their willingness to share data for research, and their preferences regarding data use.

Methods: Patients at an academic urban emergency department were asked if they would donate any of 19 different types of data to health researchers and were asked about their views on data types' health relatedness.

In Hospitals With More Nurses Who Have Baccalaureate Degrees, Better Outcomes For Patients After Cardiac Arrest.

In 2010, prompted by compelling evidence that demonstrated better patient outcomes in hospitals with higher percentages of nurses with a bachelor of science in nursing (BSN), the Institute of Medicine recommended that 80 percent of the nurse workforce be qualified at that level or higher by 2020. Using data from the American Heart Association's Get With the Guidelines-Resuscitation registry (for 2013-18), RN4CAST-US hospital nurse surveys (2015-16), and the American Hospital Association (2015), we found that each 10-percentage-point increase in the hospital share of nurses with a BSN was associated with 24 percent greater odds of surviving to discharge with good cerebral performance among patients who experienced in-hospital cardiac arrest. Lower patient-to-nurse ratios on general medical and surgical units were also associated with significantly greater odds of surviving with good cerebral performance.

Evaluating the predictability of medical conditions from social media posts.

We studied whether medical conditions across 21 broad categories were predictable from social media content across approximately 20 million words written by 999 consenting patients. Facebook language significantly improved upon the prediction accuracy of demographic variables for 18 of the 21 disease categories; it was particularly effective at predicting diabetes and mental health conditions including anxiety, depression and psychoses. Social media data are a quantifiable link into the otherwise elusive daily lives of patients, providing an avenue for study and assessment of behavioral and environmental disease risk factors.

Health-related Google searches performed by parents of pediatric oncology patients.

Background: Little is known about the specific information parents of children with cancer search for online. Understanding the content of parents' searches over time could offer insight into what matters most to parents and identify knowledge gaps that could inform more comprehensive approaches to family education and support.

Methods: We describe parents' health-related Google searches starting six months before cancer diagnosis and extending through the date of study enrollment, which was at least one month after initiating cancer treatment.

Naloxone Availability and Pharmacy Staff Knowledge of Standing Order for Naloxone in Pennsylvania Pharmacies.

Objective: To assess the availability and price of naloxone as well as pharmacy staff knowledge of the standing order for naloxone in Pennsylvania pharmacies.

Methods: We conducted a telephone audit study from December 2016 to April 2017 in which staff from Pennsylvania pharmacies were surveyed to evaluate naloxone availability, staff understanding of the naloxone standing order, and out-of-pocket cost of naloxone.

Results: Responses were obtained from 682 of 758 contacted pharmacies (90% response rate).

Content Analysis of Metaphors About Hypertension and Diabetes on Twitter: Exploratory Mixed-Methods Study.

Background: Widespread metaphors contribute to the public's understanding of health. Prior work has characterized the metaphors used to describe cancer and AIDS. Less is known about the metaphors characterizing cardiovascular disease.

Online Ratings of the Patient Experience: Emergency Departments Versus Urgent Care Centers.

Study Objective: Individuals increasingly use online rating platforms to rate and review hospitals. We seek to describe and compare publicly available online review content and ratings of emergency departments (EDs) and urgent care centers.

Methods: We analyzed Yelp reviews of EDs and urgent care centers to identify topics most correlated with 1- and 5-star ratings.

Facebook language predicts depression in medical records.

Depression, the most prevalent mental illness, is underdiagnosed and undertreated, highlighting the need to extend the scope of current screening methods. Here, we use language from Facebook posts of consenting individuals to predict depression recorded in electronic medical records. We accessed the history of Facebook statuses posted by 683 patients visiting a large urban academic emergency department, 114 of whom had a diagnosis of depression in their medical records.

Opioid Discussion in the Twittersphere.

Background: The rise in opioid use and overdose has increased the importance of improving data collection methods for the purpose of targeting resources to high-need populations and responding rapidly to emerging trends.

Objective: To determine whether Twitter data could be used to identify geographic differences in opioid-related discussion and whether opioid topics were significantly correlated with opioid overdose death rate.

Methods: We filtered approximately 10 billion tweets for keywords related to opioids between July 2009 and October 2015.

Characterizing barriers to CPR training attainment using Twitter.

Study Aim: Recent investigations have suggested that CPR training rates are low within the U.S and barriers to CPR training are poorly understood. Social media holds great potential for large scale capture of the public's CPR training experiences and may illuminate barriers to CPR training.

Patient narratives in Yelp reviews offer insight into opioid experiences and the challenges of pain management.

Aim: To characterize Yelp reviews about pain management and opioids.

Methods: We manually coded and applied natural language processing to 836 Yelp reviews of US hospitals mentioning an opioid medication.

Results: Yelp reviews by patients and caregivers describing experiences with pain management and opioids had lower ratings compared with other reviews.

Relationship Between State-Level Google Online Search Volume and Cancer Incidence in the United States: Retrospective Study.

Background: In the United States, cancer is common, with high morbidity and mortality; cancer incidence varies between states. Online searches reflect public awareness, which could be driven by the underlying regional cancer epidemiology.

Objective: The objective of our study was to characterize the relationship between cancer incidence and online Google search volumes in the United States for 6 common cancers.

Potential benefits of using ecological momentary assessment to study high-risk polydrug use.

Background: While studies have documented both the feasibility and acceptability of using ecological momentary assessment (EMA) to study drug use, there is little empirical research assessing participants' perceptions of utilizing this technology-driven approach.

Methods: Participants were English-speaking persons ≥18 years old who reported injection drug use and sequential (e.g.