Philip Huynh
Biographic Data
| ID | 6064926 |
|---|---|
| NAME | Philip Huynh |
| GIVEN NAMES | Philip |
| FAMILY NAME | Huynh |
| SIGNATURE | HUYNH P |
| AFFILIATIONS | Wayne State University |
| ORCID | 0000-0002-2361-8925 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 17 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 2 |
Validation of self‐harm prediction models among formerly incarcerated individuals using health data
BACKGROUND: Individuals released from jail die by self‐harm at nearly nine times the rate of the general U.S. POPULATION: Most jails rely on traditional screening methods, such as brief self-report questionnaires, which are often inconsistently administered and have limited sensitivity and predictive accuracy. This highlights the urgent need for alternative self-harm risk identification methods during and after incarceration. OBJECTIVE: To evalua…
Spatiotemporal Analysis Exploring the Effect of Law Enforcement Drug Market Disruptions on Overdose, Indianapolis, Indiana, 2020–2021
Objectives. To test the hypothesis that law enforcement efforts to disrupt local drug markets by seizing opioids or stimulants are associated with increased spatiotemporal clustering of overdose events in the surrounding geographic area. Methods. We performed a retrospective (January 1, 2020 to December 31, 2021), population-based cohort study using administrative data from Marion County, Indiana. We compared frequency and characteristics of drug…
Arrest and emergency medical services events among participants from one of the first mental health courts
Impact of Covid-19 Pandemic on Drug Overdoses in Indianapolis
Identifying Unreported Opioid Deaths Through Toxicology Data and Vital Records Linkage
Objectives. To demonstrate the severity of undercounting opioid-involved deaths in a local jurisdiction with a high proportion of unspecified accidental poisoning deaths. Methods. We matched toxicology data to vital records for all accidental poisoning deaths (n = 1238) in Marion County, Indiana, from January 2011 to December 2016. From vital records, we coded cases as opioid involved, specified other substance, or unspecified. We extracted toxic…
Impact of Covid-19 Pandemic on Drug Overdoses in Indianapolis
Spatiotemporal Analysis Exploring the Effect of Law Enforcement Drug Market Disruptions on Overdose, Indianapolis, Indiana, 2020–2021
Objectives. To test the hypothesis that law enforcement efforts to disrupt local drug markets by seizing opioids or stimulants are associated with increased spatiotemporal clustering of overdose events in the surrounding geographic area. Methods. We performed a retrospective (January 1, 2020 to December 31, 2021), population-based cohort study using administrative data from Marion County, Indiana. We compared frequency and characteristics of drug…
Identifying Unreported Opioid Deaths Through Toxicology Data and Vital Records Linkage
Objectives. To demonstrate the severity of undercounting opioid-involved deaths in a local jurisdiction with a high proportion of unspecified accidental poisoning deaths. Methods. We matched toxicology data to vital records for all accidental poisoning deaths (n = 1238) in Marion County, Indiana, from January 2011 to December 2016. From vital records, we coded cases as opioid involved, specified other substance, or unspecified. We extracted toxic…
Arrest and emergency medical services events among participants from one of the first mental health courts
Impact of Covid-19 Pandemic on Drug Overdoses in Indianapolis
Spatiotemporal Analysis Exploring the Effect of Law Enforcement Drug Market Disruptions on Overdose, Indianapolis, Indiana, 2020–2021
Objectives. To test the hypothesis that law enforcement efforts to disrupt local drug markets by seizing opioids or stimulants are associated with increased spatiotemporal clustering of overdose events in the surrounding geographic area. Methods. We performed a retrospective (January 1, 2020 to December 31, 2021), population-based cohort study using administrative data from Marion County, Indiana. We compared frequency and characteristics of drug…
Validation of self‐harm prediction models among formerly incarcerated individuals using health data
BACKGROUND: Individuals released from jail die by self‐harm at nearly nine times the rate of the general U.S. POPULATION: Most jails rely on traditional screening methods, such as brief self-report questionnaires, which are often inconsistently administered and have limited sensitivity and predictive accuracy. This highlights the urgent need for alternative self-harm risk identification methods during and after incarceration. OBJECTIVE: To evalua…
Medicine (4 works) · Internal Medicine (3 works) · Opioid (3 works) · Opioid Use Disorder Treatment (3 works) · Cardiac Arrest and Resuscitation (2 works) · Criminal Justice and Corrections Analysis (2 works) · Drug overdose (2 works) · Emergency Medicine (2 works) · Environmental health (2 works) · Internal Medicine (2 works)