Dylan Supina
Shire plc
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Dylan Supina.
Eating and Weight Disorders-studies on Anorexia Bulimia and Obesity | 2016
Tamás Ágh; Gábor Kovács; Dylan Supina; Manjiri Pawaskar; Barry K. Herman; Zoltán Vokó; David V. Sheehan
PurposeTo perform a systematic review of the health-related quality of life (HRQoL) and economic burdens of anorexia nervosa (AN), bulimia nervosa (BN), and binge eating disorder (BED).MethodsA systematic literature search of English-language studies was performed in Medline, Embase, PsycINFO, PsycARTICLES, Academic Search Complete, CINAHL Plus, Business Source Premier, and Cochrane Library. Cost data were converted to 2014 Euro.ResultsSixty-nine studies were included. Data on HRQoL were reported in 41 studies (18 for AN, 17 for BN, and 18 for BED), on healthcare utilization in 20 studies (14 for AN, 12 for BN, and 8 for BED), and on healthcare costs in 17 studies (9 for AN, 11 for BN, and only 2 for BED). Patients’ HRQoL was significantly worse with AN, BN, and BED compared with healthy populations. AN, BN, and BED were associated with a high rate of hospitalization, outpatient care, and emergency department visits. However, patients rarely received specific treatment for their eating disorder. The annual healthcare costs for AN, BN, and BED were €2993 to €55,270, €888 to €18,823, and €1762 to €2902, respectively.ConclusionsAN, BN, and BED have a serious impact on patient’s HRQoL and are also associated with increased healthcare utilization and healthcare costs. The burden of BED should be examined separately from that of BN. The limited evidence suggests that further research is warranted to better understand the differences in long-term HRQoL and economic burdens of AN, BN, and BED.
International Journal of Eating Disorders | 2015
Brandon K. Bellows; Scott L. DuVall; Aaron W. C. Kamauu; Dylan Supina; Thomas Babcock; Joanne LaFleur
OBJECTIVE The objective of this study was to compare the one-year healthcare costs and utilization of patients with binge-eating disorder (BED) to patients with eating disorder not otherwise specified without BED (EDNOS-only) and to matched patients without an eating disorder (NED). METHODS A natural language processing (NLP) algorithm identified adults with BED from clinical notes in the Department of Veterans Affairs (VA) electronic health record database from 2000 to 2011. Patients with EDNOS-only were identified using ICD-9 code (307.50) and those with NLP-identified BED were excluded. First diagnosis date defined the index date for both groups. Patients with NED were randomly matched 4:1, as available, to patients with BED on age, sex, BMI, depression diagnosis, and index month. Patients with cost data (2005-2011) were included. Total healthcare, inpatient, outpatient, and pharmacy costs were examined. Generalized linear models were used to compare total one-year healthcare costs while adjusting for baseline patient characteristics. RESULTS There were 257 BED, 743 EDNOS-only, and 823 matched NED patients identified. The mean (SD) total unadjusted one-year costs, in 2011 US dollars, were
Postgraduate Medicine | 2016
Dylan Supina; Barry K. Herman; Carla B. Frye; Alicia C. Shillington
33,716 (
International Journal of Clinical Practice | 2017
Manjiri Pawaskar; Edward A. Witt; Dylan Supina; Barry K. Herman; Thomas A. Wadden
38,928) for BED,
Eating Behaviors | 2016
Brandon K. Bellows; Scott L. DuVall; Aaron W. C. Kamauu; Dylan Supina; Manjiri Pawaskar; Thomas Babcock; Joanne LaFleur
37,052 (
Eating and Weight Disorders-studies on Anorexia Bulimia and Obesity | 2015
Tamás Ágh; Gábor Kovács; Manjiri Pawaskar; Dylan Supina; András Inotai; Zoltán Vokó
40,719) for EDNOS-only, and
Journal of the American Medical Informatics Association | 2014
Brandon K. Bellows; Joanne LaFleur; Aaron W. C. Kamauu; Thomas Ginter; Tyler Forbush; Stephen Agbor; Dylan Supina; Paul Hodgkins; Scott L. DuVall
19,548 (
Molecular Genetics and Metabolism | 2015
Deborah Elstein; Neal J. Weinreb; Nadia Belmatoug; Ida V.D. Schwartz; Patrick Deegan; Dylan Supina; Lydie Renault; Ozlem Goker-Alpan
35,780) for NED patients. When adjusting for patient characteristics, BED patients had one-year total healthcare costs
Value in Health | 2014
Brandon K. Bellows; Joanne LaFleur; Aaron W. C. Kamauu; Manjiri Pawaskar; Dylan Supina; Thomas Babcock; Scott L. DuVall
5,589 higher than EDNOS-only (p = 0.06) and
Value in Health | 2014
Tamás Ágh; Manjiri Pawaskar; G. Kovacs; Zoltán Kaló; Dylan Supina; Zoltán Vokó
18,152 higher than matched NED patients (p < 0.001). DISCUSSION This study is the first to use NLP to identify BED patients and quantify their healthcare costs and utilization. Patients with BED had similar one-year total healthcare costs to EDNOS-only patients, but significantly higher costs than patients with NED.