Evaluating Bias and Racism in a Risk-Factor–Based Drug Testing Policy in the Labor and Delivery Department

Risk-factor-based toxicology policies disproportionately target Black, low-income, single, publicly insured, and uninsured patients. Patients are typically not consented; testing is infrequently obtained for medical indications; and reports to child welfare services based on positive test results are common.

Authors

Institutions

Publication Details

Journal
O&G Open
Published
2024-11-21
DOI
https://doi.org/10.1097/og9.0000000000000044
Primary Topic
Pesticide Exposure and Toxicity
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluating Bias and Racism in a Risk-Factor–Based Drug Testing Policy in the Labor and Delivery Department

Mishka Terplan, Roman Starikov, L. Puglisi, Arienne Malekmadani
O&G Open
Pesticide Exposure and Toxicity
article

Evaluating Bias and Racism in a Risk-Factor–Based Drug Testing Policy in the Labor and Delivery Department

Mishka Terplan, Roman Starikov, L. Puglisi, Arienne Malekmadani
article en

Abstract

Risk-factor-based toxicology policies disproportionately target Black, low-income, single, publicly insured, and uninsured patients. Patients are typically not consented; testing is infrequently obtained for medical indications; and reports to child welfare services based on positive test results are common.

O&G OpenVol. 1(4)
Friends Research Institute (US)
U.S. Department of Health and Human Services, Health Resources and Services Administration
No poverty
Openalex Percentile: Top 88%
Pesticide Exposure and Toxicity
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.