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An algorithm using administrative data to measure adverse childhood experiences (ADM-ACE).
Henkhaus, Laura E; Gonzales, Gilbert; Buntin, Melinda B.
Affiliation
  • Henkhaus LE; Data Science Institute, Vanderbilt University, Nashville, Tennessee, USA.
  • Gonzales G; Department of Health Policy, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Buntin MB; Department of Health Policy, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Health Serv Res ; 57(4): 963-972, 2022 08.
Article in En | MEDLINE | ID: mdl-35275403
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Child Abuse / Adverse Childhood Experiences Type of study: Prognostic_studies / Risk_factors_studies Limits: Child / Female / Humans Country/Region as subject: America do norte Language: En Journal: Health Serv Res Year: 2022 Document type: Article Affiliation country: United States Country of publication: United States
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Child Abuse / Adverse Childhood Experiences Type of study: Prognostic_studies / Risk_factors_studies Limits: Child / Female / Humans Country/Region as subject: America do norte Language: En Journal: Health Serv Res Year: 2022 Document type: Article Affiliation country: United States Country of publication: United States