Evidence map›Paper›PMID 25680703›Full record

ArticleMaternal and child health journal2015

Refining Measurement of Substance Use Disorders Among Women of Child-Bearing Age Using Hospital Records: The Development of the Explicit-Mention Substance Abuse Need for Treatment in Women (EMSANT-W) Algorithm.

Taletha Mae Derrington, Judith Bernstein, Candice Belanoff, Howard J Cabral, Hermik Babakhanlou-Chase, Hafsatou Diop, Stephen R Evans, Milton Kotelchuck

Open access · greenAbstract read
In one paragraph

Article in Maternal and child health journal, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
4.0field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Automatable algorithms to identify nonmedical opioid use using electronic data: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2017
    Pooled it
  2. Substance Use Disorder Outcomes and Treatment by Autism Status in Medicaid Enrollees With Substance Use Disorder.Autism research : official journal of the International Society for Autism Research · 2026
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 1 country.

Taletha Mae DerringtonEducation Division, Center for Education and Human Services, SRI International, 333 Ravenswood Avenue, BS179, Menlo Park, CA, 94025, USA. taletha.derrington@sri.com.
Judith BernsteinDepartment of Community Health Sciences, Boston University School of Public Health, Boston, MA, USA.
Candice BelanoffDepartment of Community Health Sciences, Boston University School of Public Health, Boston, MA, USA.
Howard J CabralDepartment of Biostatistics, Boston University School of Public Health, Boston, MA, USA.
Hermik Babakhanlou-ChaseBureau of Substance Abuse Services, Massachusetts Department of Public Health, Boston, MA, USA.
Hafsatou DiopOffice of Data Translation, Bureau of Family Health and Nutrition, Massachusetts Department of Public Health, Boston, MA, USA.
Stephen R EvansDepartment of Community Health Sciences, Boston University School of Public Health, Boston, MA, USA.
Milton KotelchuckMassGeneral Hospital for Children, Harvard Medical School, Boston, MA, USA.
Boston University · USMassachusetts Department of Public Health · USMassachusetts General Hospital · USSRI International · US

Funding

Follow-up Glucose Testing and Timely Transition to Primary Care after Gestational DiabetesR01DK107528 · NIDDK · BOSTON UNIVERSITY MEDICAL CAMPUS · PI BERNSTEIN, JUDITH APT, MCCLOSKEY, LOIS · 2016 to 2017
$932k
Linking State Data to Identify Unmet Alcohol Treatment Need in Women aged 15-49R21AA018395 · NIAAA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI BERNSTEIN, JUDITH APT, KOTELCHUCK, MILTON · 2010 to 2011
$440k
Linking State Data to Identify Unmet Need for Drug Treatment in Women Aged 15-49R21DA027181 · NIDA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI BERNSTEIN, JUDITH APT, KOTELCHUCK, MILTON · 2010 to 2011
$420k
NIAAA NIH HHS R21 AA018395NIAAA NIH HHS R21AA018395NIDA NIH HHS R21 DA027181NIDA NIH HHS R21DA027181
6 · The paper itself

Abstract

Substance use disorder (SUD) in women of reproductive age is associated with adverse health consequences for both women and their offspring. US states need a feasible population-based, case-identification tool to generate better approximations of SUD prevalence, treatment use, and treatment outcomes among women. This article presents the development of the Explicit Mention Substance Abuse Need for Treatment in Women (EMSANT-W), a gender-tailored tool based upon existing International Classification of Diseases, 9th Edition, Clinical Modification diagnostic code-based groupers that can be applied to hospital administrative data. Gender-tailoring entailed the addition of codes related to infants, pregnancy, and prescription drug abuse, as well as the creation of inclusion/exclusion rules based on other conditions present in the diagnostic record. Among 1,728,027 women and associated infants who accessed hospital care from January 1, 2002 to December 31, 2008 in Massachusetts, EMSANT-W identified 103,059 women with probable SUD. EMSANT-W identified 4,116 women who were not identified by the widely used Clinical Classifications Software for Mental Health and Substance Abuse (CCS-MHSA) and did not capture 853 women identified by CCS-MHSA. Content and approach innovations in EMSANT-W address potential limitations of the Clinical Classifications Software, and create a methodologically sound, gender-tailored and feasible population-based tool for identifying women of reproductive age in need of further evaluation for SUD treatment. Rapid changes in health care service infrastructure, delivery systems and policies require tools such as the EMSANT-W that provide more precise identification methods for sub-populations and can serve as the foundation for analyses of treatment use and outcomes.

Indexed as

AlgorithmsAdolescentAdultFemaleHospitalizationHumansPrevalenceSubstance-Related DisordersUnited StatesDiagnosis code grouperHospital discharge dataPrevalenceSubstance abuseWomen

Identifiers

PMID25680703
PMCPMC4802156
OpenAlexW2157739522

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.