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Dive into the research topics where Megan L. Ranney is active.

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Featured researches published by Megan L. Ranney.


Medical Teacher | 2015

Twitter as a tool for communication and knowledge exchange in academic medicine: A guide for skeptics and novices

Esther K. Choo; Megan L. Ranney; Teresa M. Chan; N. Seth Trueger; Amy E. Walsh; Ken Tegtmeyer; Shannon O. McNamara; Ricky Y. Choi; Christopher L. Carroll

Abstract Twitter is a tool for physicians to increase engagement of learners and the public, share scientific information, crowdsource new ideas, conduct, discuss and challenge emerging research, pursue professional development and continuing medical education, expand networks around specialized topics and provide moral support to colleagues. However, new users or skeptics may well be wary of its potential pitfalls. The aims of this commentary are to discuss the potential advantages of the Twitter platform for dialogue among physicians, to explore the barriers to accurate and high-quality healthcare discourse and, finally, to recommend potential safeguards physicians may employ against these threats in order to participate productively.


Computers in Human Behavior | 2014

Social Media as a Vector for Youth Violence: A Review of the Literature

Desmond Upton Patton; Jun Sung Hong; Megan L. Ranney; Sadiq Patel; Caitlin Kelley; Robert D. Eschmann; Tyreasa Washington

Homicide is the second leading cause of death for young people, and exposure to violence has a negative impact on youth mental health, academic performance, and relationships. We demonstrate that youth violence, including bullying, gang violence, and self-directed violence, increasingly occurs in the online space. We review the literature on violence and online social media, and show that while some forms of online violence are limited to Internet-based interactions, others are directly related to face-to-face acts of violence. Central to our purpose is uncovering the real-world consequences of these online events, and using this information to design effective prevention and intervention strategies. We discuss several limitations of the existing literature, including inconsistent definitions for some forms of online violence, and an overreliance on descriptive data. Finally, we acknowledge the constantly evolving landscape of online social media, and discuss implications for the future of social media and youth violence research.[The original abstract for this article contains images that cannot be displayed here. Please click on the link below to read the full abstract and article.]


Academic Emergency Medicine | 2012

A systematic review of emergency department technology-based behavioral health interventions

Esther K. Choo; Megan L. Ranney; Nitin Aggarwal; Edwin D. Boudreaux

OBJECTIVES This systematic review evaluated the evidence for use of computer technologies to assess and reduce high-risk health behaviors in emergency department (ED) patients. METHODS A systematic search was conducted of electronic databases, references, key journals, and conference proceedings. Studies were included if they evaluated the use of computer-based technologies for ED-based screening, interventions, or referrals for high-risk health behaviors (e.g., unsafe sex, partner violence, substance abuse, depression); were published since 1990; and were in English, French, or Spanish. Study selection and assessment of methodologic quality were performed by two independent reviewers. Data extraction was performed by one reviewer and then independently checked for completeness and accuracy by a second reviewer. RESULTS Of 17,744 unique articles identified by database search, 66 underwent full-text review, and 20 met inclusion criteria. The greatest number of studies targeted alcohol/substance use (n = 8, 40%), followed by intentional or unintentional injury (n = 7, 35%) and then mental health (n = 4, 20%). Ten of the studies (50%) were randomized controlled trials; the remainder were observational or feasibility studies. Overall, studies showed high acceptability and feasibility of individual computer innovations, although study quality varied greatly. Evidence for clinical efficacy across health behaviors was modest, with few studies addressing meaningful clinical outcomes. Future research should aim to establish the efficacy of computer-based technology for meaningful health outcomes and to ensure that effective interventions are both disseminable and sustainable. CONCLUSIONS The number of studies identified in this review reflects recent enthusiasm about the potential of computers to overcome barriers to behavioral health screening, interventions, and referrals to treatment in the ED. The available literature suggests that these types of tools will be feasible and acceptable to patients and staff.


JAMA Pediatrics | 2015

Violent Reinjury and Mortality Among Youth Seeking Emergency Department Care for Assault-Related Injury: A 2-Year Prospective Cohort Study

Rebecca M. Cunningham; Patrick M. Carter; Megan L. Ranney; Marc A. Zimmerman; Fred Blow; Brenda M. Booth; Jason Goldstick; Maureen A. Walton

IMPORTANCE Violence is a leading cause of morbidity and mortality among youth, with more than 700000 emergency department (ED) visits annually for assault-related injuries. The risk for violent reinjury among high-risk, assault-injured youth is poorly understood. OBJECTIVE To compare recidivism for violent injury and mortality outcomes among drug-using, assault-injured youth (AI group) and drug-using, non-assault-injured control participants (non-AI group) presenting to an urban ED for care. DESIGN, SETTING, AND PARTICIPANTS Participants were enrolled in a prospective cohort study from December 2, 2009, through September 30, 2011, at an urban level I ED and followed up for 24 months. We administered validated measures of violence and substance use and mental health diagnostic interviews and reviewed medical records at baseline and at each point of follow-up (6, 12, 18, and 24 months). EXPOSURE Follow-up over 24 months. MAIN OUTCOMES AND MEASURES Use of ED services for assault or mortality measured from medical record abstraction supplemented with self-report. RESULTS We followed 349 AI and 250 non-AI youth for 24 months. Youth in the AI group had almost twice the risk for a violent injury requiring ED care within 2 years compared with the non-AI group (36.7% vs 22.4%; relative risk [RR], 1.65 [95% CI, 1.25-2.14]; P<.001). Two-year mortality was 0.8%. Poisson regression modeling identified female sex (RR, 1.30 [95% CI, 1.02-1.65]), assault-related injury (RR, 1.57 [95% CI, 1.19-2.04), diagnosis of a drug use disorder (RR, 1.29 [95% CI, 1.01-1.65]), and posttraumatic stress disorder (RR, 1.47 [95% CI, 1.09-1.97]) at the index visit as predictive of ED recidivism or death within 24 months. Parametric survival models demonstrated that assault-related injury (P<.001), diagnosis of posttraumatic stress disorder (P=.008), and diagnosis of a drug use disorder (P= .03) significantly shortened the expected waiting time until the first ED return visit for violence or death. CONCLUSIONS AND RELEVANCE Violent injury is a reoccurring disease, with one-third of our AI group experiencing another violent injury requiring ED care within 2 years of the index visit, almost twice the rate of a non-AI comparison group. Secondary violence prevention measures addressing substance use and mental health needs are needed to decrease subsequent morbidity and mortality due to violence in the first 6 months after an assault injury.


Pediatrics | 2014

Characteristics of Youth Seeking Emergency Care for Assault Injuries

Rebecca M. Cunningham; Megan L. Ranney; Manya F. Newton; Whitney Woodhull; Marc A. Zimmerman; Maureen A. Walton

OBJECTIVE: To characterize youth seeking care for assault injuries, the context of violence, and previous emergency department (ED) service utilization to inform ED-based injury prevention. METHODS: A consecutive sample of youth (14–24) presenting to an urban ED with an assault injury completed a survey of partner violence, gun/knife victimization, gang membership, and context of the fight. RESULTS: A total of 925 youth entered the ED with an assault injury; 718 completed the survey (15.4% refused); 730 comparison youth were sampled. The fights leading to the ED visit occurred at home (37.6%) or on streets (30.4%), and were commonly with a known person (68.3%). Fights were caused by issues of territory (23.3%) and retaliation (8.9%); 20.8% of youth reported substance use before the fight. The assault-injured group reported more peer/partner violence and more gun experiences. Assault-injured youth reported higher past ED utilization for assault (odds ratio [OR]: 2.16) or mental health reasons (OR: 7.98). Regression analysis found the assault-injured youth had more frequent weapon use (OR: 1.25) and substance misuse (OR: 1.41). CONCLUSIONS: Assault-injured youth seeking ED care report higher levels of previous violence, weapon experience, and substance use compared with a comparison group seeking care for other complaints. Almost 10% of assault-injured youth had another fight-related ED visit in the previous year, and ∼5% had an ED visit for mental health. Most fights were with people known to them and for well-defined reasons, and were therefore likely preventable. The ED is a critical time to interact with youth to prevent future morbidity.


Academic Emergency Medicine | 2015

Qualitative Research in Emergency Care Part I: Research Principles and Common Applications.

Esther K. Choo; Aris Garro; Megan L. Ranney; Zachary F. Meisel; Kate Morrow Guthrie

Qualitative methods are increasingly being used in emergency care research. Rigorous qualitative methods can play a critical role in advancing the emergency care research agenda by allowing investigators to generate hypotheses, gain an in-depth understanding of health problems or specific populations, create expert consensus, and develop new intervention and dissemination strategies. This article, Part I of a two-article series, provides an introduction to general principles of applied qualitative health research and examples of its common use in emergency care research, describing study designs and data collection methods most relevant to our field, including observation, individual interviews, and focus groups. In Part II of this series, we will outline the specific steps necessary to conduct a valid and reliable qualitative research project, with a focus on interview-based studies. These elements include building the research team, preparing data collection guides, defining and obtaining an adequate sample, collecting and organizing qualitative data, and coding and analyzing the data. We also discuss potential ethical considerations unique to qualitative research as it relates to emergency care research.


Addictive Behaviors | 2015

Understanding the service needs of assault-injured, drug-using youth presenting for care in an urban Emergency Department

Kipling M. Bohnert; Maureen A. Walton; Megan L. Ranney; Erin E. Bonar; Frederic C. Blow; Marc A. Zimmerman; Brenda M. Booth; Rebecca M. Cunningham

BACKGROUND Violence is a leading cause of injury among youth 15-24years and is frequently associated with drug use. To inform optimal violence interventions, it is critical to understand the baseline characteristics and intent to retaliate of drug-using, assault-injured (AI) youth in the Emergency Department (ED) setting, where care for violent injury commonly occurs. METHODS At an urban ED, AI youth ages 14-24 endorsing any past six-month substance use (n=350), and a proportionally-sampled substance-using comparison group (CG) presenting for non-assault-related care (n=250), were recruited and completed a baseline assessment (82% participation). Medical chart review was also conducted. Conditional logistic regression was performed to examine correlates associated with AI. RESULTS Over half (57%) of all youth met the criteria for drug and/or alcohol use disorder, with only 9% receiving prior treatment. Among the AI group, 1 in 4 intended to retaliate, of which 49% had firearm access. From bivariate analyses, AI youth had poorer mental health, greater substance use, and were more likely to report prior ED visits for assault or psychiatric evaluation. Based on multivariable modeling, AI youth had greater odds of being on probation/parole (AOR=2.26; CI=1.28, 3.90) and having PTSD (AOR=1.88; CI=1.01, 3.50) than the CG. CONCLUSIONS AI youth may have unmet needs for substance use and mental health treatment, including PTSD. These characteristics along with the risk of retaliation, increased ED service utilization, low utilization of other health care venues, and firearm access highlight the need for interventions that initiate at the time of ED visit.


Academic Emergency Medicine | 2015

Interview-based Qualitative Research in Emergency Care Part II: Data Collection, Analysis and Results Reporting

Megan L. Ranney; Zachary F. Meisel; Esther K. Choo; Aris Garro; Comilla Sasson; Kate Morrow Guthrie

Qualitative methods are increasingly being used in emergency care research. Rigorous qualitative methods can play a critical role in advancing the emergency care research agenda by allowing investigators to generate hypotheses, gain an in-depth understanding of health problems or specific populations, create expert consensus, and develop new intervention and dissemination strategies. In Part I of this two-article series, we provided an introduction to general principles of applied qualitative health research and examples of its common use in emergency care research, describing study designs and data collection methods most relevant to our field (observation, individual interviews, and focus groups). Here in Part II of this series, we outline the specific steps necessary to conduct a valid and reliable qualitative research project, with a focus on interview-based studies. These elements include building the research team, preparing data collection guides, defining and obtaining an adequate sample, collecting and organizing qualitative data, and coding and analyzing the data. We also discuss potential ethical considerations unique to qualitative research as it relates to emergency care research.


Pediatric Emergency Care | 2013

Adolescents' preference for technology-based emergency department behavioral interventions: does it depend on risky behaviors?

Megan L. Ranney; Esther K. Choo; Anthony Spirito; Michael J. Mello

Objectives This study aimed to (1) determine the prevalence of technology use and interest in technology-based interventions among adolescent emergency department patients and (2) examine the association between interest in an intervention and self-reported risky behaviors. Methods Adolescents (age, 13–17 years) presenting to an urban pediatric emergency department completed a survey regarding baseline technology use, risky behaviors, and interest in and preferred format for behavioral health interventions. Questions were drawn from validated measures when possible. Descriptive statistics and &khgr;2 tests were calculated to identify whether self-reported risky behaviors were differentially associated with intervention preference. Results Two hundred thirty-four patients (81.8% of eligible) consented to participate. Almost all used technology, including computers (98.7%), social networking (84.9%), and text messaging (95.1%). Adolescents reported high prevalence of risky behaviors as follows: unintentional injury (93.2%), peer violence exposure (29.3%), dating violence victimization (23.0%), depression or anxiety (30.0%), alcohol use (22.8%), drug use (36.1%), cigarette use (16.4%), and risky sexual behaviors (15.1%). Most were interested in receiving behavioral interventions (ranging from 93.6% interest in unintentional injury prevention, to 73.1% in smoking cessation); 45% to 93% preferred technology-based (vs in person, telephone call, or paper) interventions for each topic. Proportion interested in a specific topic and proportion preferring a technology-based intervention did not significantly differ by self-reported risky behaviors. Conclusions Among this sample of adolescent emergency department patients, high rates of multiple risky behaviors are reported. Patients endorsed interest in receiving interventions for these behaviors, regardless of whether they reported the behavior. Most used multiple forms of technology, and approximately 50% preferred a technology-based intervention format.


Journal of Medical Toxicology | 2014

The Virtual Toxicology Service: Wearable Head-Mounted Devices for Medical Toxicology

Peter R. Chai; Roger Y. Wu; Megan L. Ranney; Paul S. Porter; Kavita M. Babu; Edward W. Boyer

History of Telemedicine Although the Institute of Medicine (IOM) first defined telemedicine in 1996 as the use of electronic information and communications technologies to provide and support health care when distance separates participants, the use of electronic communications technologies in medicine is not new [1]. In 1877, a group of physicians created a telephone exchange including local pharmacies in order to facilitate improved patient communications [2, 3]. In the 1970s, the National Aeronautics and Space Administration (NASA), Lockheed Martin, and the Indian Health Services teamed together to create the Space Technology Applied to Rural Papago Advanced Health Care (STARPACH) program—a telemedicine initiative involving real time video, data and voice-over-microwave interaction to extend healthcare to a rural setting [4]. Over the past two decades, telemedical systems have successfully connected rural and community hospitals to large urban centers with subspecialty expertise. These initiatives have improved care for specific patient subgroups including those in nursing homes, dermatological complaints, and trauma [2, 5]. In particular, the specialties of neurology and dermatology have employed telemedicine to extend their reach in resource poor settings. Telestroke employs a controlled video camera and monitor screen for a remote neurologist to help diagnose and manage emergency department patients with stroke while static photo technology and emerging live video devices have helped a remote dermatologist complete dermatology consults remotely [6–9].

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Edward W. Boyer

Brigham and Women's Hospital

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Marian E. Betz

University of Colorado Denver

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