Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Albert J Burgess-Hull"'
Autor:
Albert J Burgess-Hull, Kirsten E Smith, Leigh V Panlilio, Destiny Schriefer, Kenzie L Preston, Aliese Alter, Christopher Yeager, Timothy Chizmar, Ted Delbridge, Kenan Zamore, Jeff Beeson, David H Epstein
Publikováno v:
PLoS ONE, Vol 17, Iss 3, p e0263893 (2022)
BackgroundThe Covid-19 pandemic and its accompanying public-health orders (PHOs) have led to (potentially countervailing) changes in various risk factors for overdose. To assess whether the net effects of these factors varied geographically, we exami
Externí odkaz:
https://doaj.org/article/efc9fa3e4f214720b4d351b10e4f04f7
Publikováno v:
Journal of Addiction Medicine. 17:28-34
Patients receiving medication for opioid use disorder (MOUD) may continue using nonprescribed drugs or have trouble with medication adherence, and it is difficult to predict which patients will continue to do so. In this study, we develop and validat
Autor:
Carla Tilchin, Jacky M. Jennings, Jessica Wagner, David H. Epstein, Isabelle Sheck, Albert J. Burgess-Hull
Publikováno v:
Archives of Sexual Behavior. 51:2429-2436
Syphilis among men who have sex with men (MSM) has increased greatly in the past twenty years in the U.S. Geographically explicit ecological momentary assessment (GEMA), in which behaviors are geotagged and contextualized in time and space, may contr
Autor:
Samuel W. Stull, Jacqueline Mogle, Jeremiah W. Bertz, Albert J. Burgess-Hull, Leigh V. Panlilio, Stephanie T. Lanza, Kenzie L. Preston, David H. Epstein
Publikováno v:
Psychological assessment. 34(10)
In intensive longitudinal studies using ecological momentary assessment, mood is typically assessed by repeatedly obtaining ratings for a large set of adjectives. Summarizing and analyzing these mood data can be problematic because the reliability an
Publikováno v:
Current Addiction Reports
Purpose of Review Addiction scientists have begun using ambulatory assessment methods—including ecological momentary assessment (EMA), experience sampling, and daily diaries—to collect real-time or near-real-time reports of participants’ intern
Autor:
Karran A. Phillips, David H. Epstein, Samuel W. Stull, William J. Kowalczyk, Leigh V. Panlilio, Kenzie L. Preston, Jeremiah W. Bertz, Albert J. Burgess-Hull
Publikováno v:
Psychopharmacology (Berl)
RATIONALE: Many people being treated for opioid use disorder continue to use drugs during treatment. This use occurs in patterns that rarely conform to well-defined cycles of abstinence and relapse. Systematic identification and evaluation of these p
Autor:
Albert J. Burgess-Hull
Publikováno v:
Prev Sci
The use of finite mixture modeling (FMM) to identify unobservable or latent groupings of individuals within a population has increased rapidly in applied prevention research. However, many prevention scientists are still unaware of the statistical as
Prediction of stress and drug craving ninety minutes in the future with passively collected GPS data
Autor:
Matthew Tyburski, Brenda Curtis, Albert J. Burgess-Hull, Karran A. Phillips, Kenzie L. Preston, David H. Epstein, William J. Kowalczyk
Publikováno v:
npj Digital Medicine, Vol 3, Iss 1, Pp 1-12 (2020)
NPJ Digital Medicine
NPJ Digital Medicine
Just-in-time adaptive interventions (JITAIs), typically smartphone apps, learn to deliver therapeutic content when users need it. The challenge is to “push” content at algorithmically chosen moments without making users trigger it with effortful
Autor:
Albert J. Burgess-Hull, David H. Epstein, Kenzie L. Preston, Leigh V. Panlilio, Kirsten E. Smith, Destiny Schriefer
Publikováno v:
Drug Alcohol Depend
Background We previously showed, in people starting treatment for opioid use disorder (OUD), that stress is neither necessary nor sufficient for lapses to drug use to occur, despite an association between the two. Both theoretical clarity and case-by
Publikováno v:
Drug Alcohol Depend
AIMS: To examine evidence for subtypes of opioid craving trajectories during medication for opioid use disorder (MOUD), and to (a) test whether these subtypes differed on MOUD-related outcomes, and (b) determine whether nonresponders could be identif