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

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

Macias-Konstantopoulos, Wendy L;
ama journal of ethics 2018 Vol. 20 pp. E1143-1151
274
maciaskonstantopoulos2018diagnosisama

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.

Citation

ID: 81776
Ref Key: maciaskonstantopoulos2018diagnosisama
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
81776
Unique Identifier:
amajethics.2018.1143
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet