Diagnosis Codes for Human Trafficking Can Help Assess Incidence, Risk Factors, and Comorbid Illness and Injury.

Clicks: 324
ID: 81776
2018
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Emerging

Ranked #5 of 102 articles by views in ama journal of ethics

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
The () is the system used by clinicians and medical coders to document diseases, symptoms, social circumstances, and external causes of illness and injury. codes for various forms of abuse and violence perpetrated against children and adults exist and facilitate the study of incidence, social context, and comorbid illness and injury. Extant abuse codes, however, fail to capture the profoundly exploitative nature of trafficking and adequately distinguish trafficking patients from other types of abuse patients. As a result, the first trafficking-specific codes have been approved for the 2019 update and are expected to strengthen data collection on incidence of and risk factors for trafficking, the burden of comorbid illness and injury, and resources needed to effectively care for trafficked persons.
Reference Key
maciaskonstantopoulos2018diagnosisama Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Macias-Konstantopoulos, Wendy L;
Journal ama journal of ethics
Year 2018
DOI
amajethics.2018.1143
URL
Keywords

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.