Publications by authors named "Christopher Tufts"
Background: The quality of care in labor and delivery is traditionally measured through the Hospital Consumer Assessment of Healthcare Providers and Systems but less is known about the experiences of care reported by patients and caregivers on online sites that are more easily accessed by the public.
Objective: The aim of this study was to generate insight into the labor and delivery experience using hospital reviews on Yelp.
Methods: We identified all Yelp reviews of US hospitals posted online from May 2005 to March 2017.
Preoperative carbohydrate loading is a contemporary element of the enhanced recovery after surgery (ERAS) paradigm. In addition to intraoperative surgical and anesthetic modifications and postoperative care practices, preoperative optimization is essential to good postsurgical outcomes. What was long held as dogma, a period of prolonged fasting prior to the administration of anesthesia, was later re-examined and challenged.
View Article and Find Full Text PDFBackground: Tweets can provide broad, real-time perspectives about health and medical diagnoses that can inform disease surveillance in geographic regions. Less is known, however, about how much individuals post about common health conditions or what they post about.
Objective: We sought to collect and analyze tweets from 1 state about high prevalence health conditions and characterize the tweet volume and content.
Twitter is one of the largest social networking sites (SNSs) in the world, yet little is known about what cardiovascular health related tweets go viral and what characteristics are associated with retransmission. The current study aims to identify a function of the observable characteristics of cardiovascular tweets, including characteristics of the source, content, and style that predict the retransmission of these tweets. We identified a random sample of 1,251 tweets associated with CVD originating from the United States between 2009 and 2015.
View Article and Find Full Text PDFStudy 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.
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.
Importance: As society is increasingly becoming more networked, researchers are beginning to explore how social media can be used to study person-to-person communication about health and health care use. Twitter is an online messaging platform used by more than 300 million people who have generated several billion Tweets, yet little work has focused on the potential applications of these data for studying public attitudes and behaviors associated with cardiovascular health.
Objective: To describe the volume and content of Tweets associated with cardiovascular disease as well as the characteristics of Twitter users.