ArticlePublic health reports (Washington, D.C. : 1974)
Use of ICD-10 Codes for Human Trafficking: Analysis of Data From a Large, Multisite Clinical Database in the United States.
Article in Public health reports (Washington, D.C. : 1974). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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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.
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Who cites it
1 citing paper in PubMed, 11 citations in OpenAlex.
- Victims of human trafficking and exploitation in the healthcare system: a retrospective study using a large multi-state dataset and ICD-10 codes.Frontiers in public health · 2023Article
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Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesPeople experiencing trafficking often seek health care but are not identified. Although the Centers for Disease Control and Prevention added new
methodsThis retrospective study used deidentified data collected from October 1, 2018, through March 30, 2021, from a clinical database (N = 69 740 144 patients) network (TriNetX) of 48 collaborating US HCOs. Data included number of patients with ≥1 HT ICD-10-CM code, diagnoses, and demographic characteristics (age, sex, race, ethnicity, and region).
resultsHT ICD-10-CM codes were associated with 298 patients in US HCOs, most of whom were young (mean [SD] age, 26 [16] y), White (53.0%; n = 158), and female (87.9%; n = 262). Thirty-seven of 48 (77.1%) participating HCOs used ≥1 HT ICD-10-CM code. The most frequently used HT ICD-10-CM codes were "forced sexual exploitation, suspected" (32.2%; n = 96) and "personal history of forced labor or sexual exploitation" (27.1%; n = 81). Labor trafficking codes were noted in approximately 3.7% of cases.
conclusionsHT ICD-10-CM codes are being used by health care professionals, as confirmed by large databases. Further research is needed to understand variation in code use and risk factors associated with human trafficking.
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