Large-Scale Health Data

A spatial capture-recapture approach for estimating opioid use disorder prevalence in small areas using administrative data
Working Paper
Jianing Wang, Shariq Mohammed, Laura F. White, David Kline
Massachusetts prevalence of Opioid Use Disorder estimation revisited: Comparing a Bayesian approach to standard capture-recapture methods
Working Paper abstract Accurate estimation of the prevalence of people with opioid use disorder (OUD) is critical to the success of treatment and resource planning. Various indirect estimation approaches have been used but are subject to issues related to data availability and infrastructure.
Jianing Wang, Nathan Doogan, Katherine Thompson, Dana Bernson, Daniel Feaster, Jennifer Villani, Redonna Chandler, Laura F. White, David Kline, Joshua A. Barocas
On the estimation of population size – A comparison of capture-recapture and multiplier-benchmark methods
Working Paper
Jianing Wang, David Kline, Laura F. White
The prevalence of opioid use disorder in Kentucky’s counties: A two-year multi-sample capture-recapture analysis
abstract Background Kentucky has one of the highest opioid overdose mortality rates in the United States. Accurate estimates of people with opioid use disorder (OUD) are critical to plan for the scope of interventions required to reduce overdose and opioid misuse.
Katherine Thompson, Joshua A Barocas, Chris Delcher, Jungjun Bae, Lindsey Hammerslag, Jianing Wang, Redonna Chandler, Jennifer Villani, Sharon Walsh, Jeffery Talbert
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Opioid Use Disorder Among Ohio’s Medicaid Population: Prevalence Estimates From 19 Counties Using a Multiplier Method
abstract The decades-long overdose epidemic in the United States is driven by opioid misuse. Overdoses commonly, although not exclusively, occur in individuals with opioid use disorder (OUD). To allocate adequate resources and develop appropriately scaled public health responses, accurate estimation of the prevalence of OUD is needed.
Nathan J Doogan, Aimee Mack, Jianing Wang, Dushka Crane, Rebecca Jackson, Mary Applegate, Jennifer Villani, Redonna Chandler, Joshua A Barocas
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A Spatial Capture-Recapture Approach for Estimating Opioid Use Disorder Prevalence in Small Areas Using Administrative Data
We propose a two-stage Bayesian hierarchical model with spatial smoothing using a capture-recapture data structure to estimate community-specific opioid use disorder (OUD) prevalence. We explicitly model the hidden prevalence of interest and the associated detection model that describes individual detection histories across data sources.
Sep 30, 2022
A Spatial Capture-Recapture Approach for Estimating Opioid Use Disorder Prevalence in Small Areas Using Administrative Data
Medicaid hepatitis C virus treatment policies: impact on testing and treatment in the commercially insured
abstract Introduction A total of 23 state Medicaid programs continue to restrict hepatitis C virus (HCV) medication access by liver disease or substance-use criteria, creating obstacles to HCV elimination and significant care disparities.
Rachel L Epstein, Jianing Wang, Laura F White, Shashi N Kapadia, Jake R Morgan, Yuhua Bao, Benjamin P Linas
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Population size estimation methods using incomplete disease surveillance data
We used multiple individually linked administrative health data to compare the results of stratified capture-recapture analysis and Bayesian multiplier benchmark analysis to estimate OUD prevalence in the Massachusetts population.
Jun 30, 2022
Population size estimation methods using incomplete disease surveillance data
Opioid overdose and inpatient care for substance use disorder care in Massachusetts
abstract Background: Inpatient treatment for substance use disorders is a collection of strategies ranging from short term detoxification to longer term residential treatment. How those with opioid use disorder (OUD) navigate this inpatient treatment system after an encounter for detoxification and subsequent risk of opioid-related overdose is not well understood.
Jake R Morgan, Jianing Wang, Joshua A Barocas, Jenifer L Jaeger, Natalie N Durham, Hermik Babakhanlou-Chase, Monica Bharel, Alexander Y Walley, Benjamin P Linas
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Hepatitis C virus antibody testing among 13-to 21-year-olds in a large sample of US federally qualified health centers
abstract Hepatitis C virus (HCV) incidence is increasing in the United States, with most new transmissions occurring among people younger than 30 years who inject drugs. Fifteen- to 24-year-olds represent an increasing proportion of reported chronic HCV infections, rising from 3.
Rachel L Epstein, Jianing Wang, Liesl Hagan, Kenneth H Mayer, Jon Puro, Benjamin P Linas, Sabrina A Assoumou
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