Alina Denham

ORCID: 0000-0003-2482-5659
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About
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Research Areas
  • Health Systems, Economic Evaluations, Quality of Life
  • Opioid Use Disorder Treatment
  • Poisoning and overdose treatments
  • Atmospheric and Environmental Gas Dynamics
  • Healthcare Policy and Management
  • Climate Change and Health Impacts
  • Emergency and Acute Care Studies
  • Substance Abuse Treatment and Outcomes
  • COVID-19 Clinical Research Studies
  • Economic and Environmental Valuation
  • Air Quality and Health Impacts
  • Pharmaceutical Practices and Patient Outcomes
  • Cardiac Arrest and Resuscitation
  • Musculoskeletal pain and rehabilitation
  • Healthcare Systems and Technology
  • Mechanical Failure Analysis and Simulation
  • Nutrition and Health in Aging
  • Oil, Gas, and Environmental Issues
  • Long-Term Effects of COVID-19
  • Optimism, Hope, and Well-being
  • Patient-Provider Communication in Healthcare
  • COVID-19 and healthcare impacts
  • Machine Learning in Healthcare
  • Prenatal Substance Exposure Effects
  • COVID-19 diagnosis using AI

University of Rochester Medical Center
2019-2024

Harvard University
2022-2023

Stony Brook University
2023

University of Rochester
2018-2021

Nottingham City Hospital
1995

Tellen D. Bennett Richard A. Moffitt Janos Hajagos Benjamin Amor Adit Anand and 95 more Mark M. Bissell Katie R. Bradwell Carolyn Bremer James Brian Byrd Alina Denham Peter E. DeWitt Davera Gabriel Brian T. Garibaldi Andrew T. Girvin Justin Guinney Elaine Hill Stephanie Hong Hunter Jimenez Ramakanth Kavuluru Kristin Kostka Harold P. Lehmann Eli B. Levitt Sandeep K. Mallipattu Amin Manna Julie A. McMurry Michele Morris John Muschelli Andrew J. Neumann Matvey B. Palchuk Emily Pfaff Zhenglong Qian Nabeel Qureshi Seth Russell Heidi Spratt Anita Walden Andrew E. Williams Jacob T. Wooldridge Yun Jae Yoo Xiaohan Tanner Zhang Richard L. Zhu Christopher P. Austin Joel Saltz Kenneth Gersing Melissa Haendel Christopher G. Chute Joel Gagnier Siqing Hu Kanchan Lota Sarah E. Maidlow David A. Hanauer Kevin J. Weatherwax Nikhila Gandrakota Rishikesan Kamaleswaran Greg S. Martin Jingjing Qian Jason E. Farley Patricia A. Francis Dazhi Jiao Hadi Kharrazi Justin Reese Mariam Deacy Usman Ullah Sheikh Jake Y. Chen Michael Quinn Patton T. Bennett Ramsey Jasvinder A. Singh James J. Cimino Jing Su William G. Adams Timothy Q. Duong John B. Buse Jessica Y. Islam Jihad S. Obeid Stéphane M. Meystre Steve Patterson Misha Zemmel Ron Grider A. Pérez Martínez Carlos Antônio do Nascimento Santos Julian Solway Ryan G. Chiu Gerald B. Brown Jia-Feng Cui Sharon X. Liang Kamil Khanipov Jeremy Richard Harper Peter J. Embí David Eichmann Boyd M. Knosp William B. Hillegass Chunlei Wu James R. Aaron Darren W. Henderson Muhammad Gul Tamela Harper Daniel R. Harris Jeffery Talbert Neil Bahroos Steven M. Dubinett Jomol Mathew

The National COVID Cohort Collaborative (N3C) is a centralized, harmonized, high-granularity electronic health record repository that the largest, most representative COVID-19 cohort to date. This multicenter data set can support robust evidence-based development of predictive and diagnostic tools inform clinical care policy.

10.1001/jamanetworkopen.2021.16901 article EN cc-by-nc-nd JAMA Network Open 2021-07-13

The majority of U.S. reports COVID-19 clinical characteristics, disease course, and treatments are from single health systems or focused on one domain. Here we report the creation National COVID Cohort Collaborative (N3C), a centralized, harmonized, high-granularity electronic record repository that is largest, most representative cohort cases controls to date. This multi-center dataset supports robust evidence-based development predictive diagnostic tools informs critical care policy.In...

10.1101/2021.01.12.21249511 preprint EN cc-by medRxiv (Cold Spring Harbor Laboratory) 2021-01-13

A substantial share of fatal drug overdoses is missing information on specific involvement, leading to under-reporting opioid-related death rates and a misrepresentation the extent opioid epidemic. We aimed compare methodological approaches predicting involvement in unclassified US records estimate number from 1999 2016 using best-performing method.

10.1111/add.14943 article EN Addiction 2020-02-27

Abstract Objective Examine whether individual, geographic, and economic phenotypes predict missing data on specific drug involvement in overdose deaths, manifesting inequities mortality data, which is a key source used measuring the opioid epidemic. Materials Methods We combined national sources (mortality, demographic, economic, geographic) from 2014–2016 multi-method analysis of classification records (as defined by use ICD-10 T50.9 death certificates). examined individual disparities...

10.1093/jamia/ocz050 article EN Journal of the American Medical Informatics Association 2019-03-28

Recent advancements in drilling technology led to a rapid increase natural gas development (NGD). Air pollution may be elevated these areas and vary by type (conventional unconventional), production volume flaring. Impacts of NGD on paediatric asthma are largely unknown. This study quantifies associations between specific activities hospitalizations Texas.We leveraged database Texas inpatient 2000 2010 at the zip code level quarter examine hospitalizations, where our primary outcome is 0 vs...

10.1093/ije/dyaa115 article EN International Journal of Epidemiology 2020-07-01

Abstract Policies to decrease low-acuity emergency department (ED) use have traditionally assumed that EDs are a substitute for unavailable primary care (PC). However, such policies can exacerbate ED overcrowding, rather than ameliorate it, if patients complement, substitute, their PC use. We tested whether Medicaid managed enrolees visit the nonemergent and treatable conditions or complement PC. Based on consumer choice theory, we modelled county-level monthly rate as function of supply...

10.1017/s1744133123000270 article EN cc-by Health Economics Policy and Law 2023-10-23

Background: There is a striking geographic variation in drug overdose deaths without specific recorded, many of which likely involve opioids. Knowledge the reasons underlying this limited.Objectives: We sought to understand role medicolegal death investigation (MDI) systems unclassified mortality.Methods: This an observational study 2014 and 2018 fatal overdoses U.S. county-level MDI system type (coroner vs medical examiner). Mortality data are from CDC's National Center for Health...

10.1080/00952990.2022.2072223 article EN The American Journal of Drug and Alcohol Abuse 2022-06-06

We developed and used a discrete-choice measure to study patient preferences with regard the risks benefits of nonsurgical treatments when they are making treatment selections for chronic low back pain."CAPER TREATMENT" (Leslie Wilson) was standard choice-based conjoint procedures (discrete-choice methodology that mimics an individual's decision-making process). After expert input pilot testing, our final had 7 attributes (chance pain relief, duration physical activity changes, method, type,...

10.1093/pm/pnad038 article EN Pain Medicine 2023-03-28

Based on calculations using all-listed diagnoses, the Agency for Healthcare Research and Quality (AHRQ) reports increasing national trends in opioid-related hospitalizations. It is unclear whether reported increases are attributable to available diagnosis fields. We leveraged fields, ie, recordability, 2 states examine their effects hospitalizations, graphically with nonlinear least squares. Hospitalization data from Texas (1999-2011, N = 36 593 049) New York (2005-2015Q3, 27 582 208) were...

10.1177/1178632919861338 article EN cc-by-nc Health Services Insights 2019-01-01

<title>Abstract</title> Background . Improvements in patient safety and quality of care can be achieved by improvements clinicians’ teamwork, coordination communication. Growing research examines the structure dynamics clinician networks using social network analysis. Such have clusters healthcare professionals within them, but systematized knowledge on these is lacking. Our goal was to review evidence determinants characteristics professional clustering patient-sharing their associations...

10.21203/rs.3.rs-4437662/v1 preprint EN cc-by Research Square (Research Square) 2024-06-04

Background: In U.S. death records, many drug overdoses do not have classified involvement, which challenges surveillance of opioid across time and space.Objective: To estimate the 2017–2018 change in overdose deaths that accounts for probable involvement unclassified deaths.Methods: this retrospective design study, data on all decedents from were used to calculate year-to-year known overdoses, predict corrected include both predicted deaths. We Multiple Cause Death (MCOD) CDC.Results:...

10.1080/00952990.2021.1929273 article EN The American Journal of Drug and Alcohol Abuse 2021-06-09

of the alloy is high, an oil may be used as quenching medium.The aluminum, nickel, iron, and copper more useful for inserts than aluminum-copper since it will retain its hardness at a higher temperature.The heat treatment this bronze approximately follows: to 1700 deg.fahr., hold 2 hours, quench in water or oil, reheat 1200 cool slowly.This produces Brinell number 200 more.

10.1115/1.4058507 article EN Transactions of the American Society of Mechanical Engineers 1928-01-01

Background: Current estimates indicate that 4.5 million Texans live within 1 mile of at least one shale gas development (SGD) site, yet the respiratory health effects residing near this industry remain unclear. SGD activities are associated with decreased air quality, including known irritants. This study aims to quantify association between specific and pediatric asthma hospitalizations in Texas.Methods: We leverage a 32 record database Texas inpatient examine natural via multilevel...

10.1289/isesisee.2018.p01.0600 article EN ISEE Conference Abstracts 2018-09-24
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