P-2074. Prevalence and health care utilization outcomes of Z codes in patients with HIV, Tuberculosis Disease, Hepatitis B Virus Infection, and Hepatitis C virus Infection

Abstract Background There is growing recognition that social determinants of health (SDH) play a larger role than medical care. One method to identify SDH is with International Classification of Diseases, Tenth Revision (ICD-10) diagnosis codes known as Z codes, but the prevalence and utility of Z codes have not been studied in infectious diseases. Methods This retrospective cohort study used the “Apollo” Dataset on the Atropos Evidence Network, a national dataset with EHR data and linked claims from 2015-2023. We found Z code (ICD-10 codes Z55-65) prevalence in adults with a first ICD-10 HIV, tuberculosis (TB), hepatitis B (HBV) or hepatitis C (HCV) diagnosis, compared to those with a first diabetes diagnosis. Patients with multiple inclusion diagnoses were excluded. Among patients with infections, we compared the rates of ED and inpatient visits within 1 year in those with Z codes versus those without. Propensity scoring was used to balance confounders. Results 5,947 patients had infections (445 HIV, 2235 TB, 615 HBV, 2498 HCV) and 324,540 patients had diabetes. Z code prevalence was higher in patients with infections (n=698, 11.74%) compared to patients with diabetes (n=12559, 3.87%) (p< 0.001), and this trend was consistent across infection types (Table 1). After propensity score matching, patients with these infections were more likely to have a Z code (OR 1.74 p < 0.001) than patients with diabetes. Among patients with infections, those with Z codes had a higher rate of ED visits (60.6% vs 28.33%, p< 0.01) and inpatient visits (34.81% vs 12.75%, p< 0.001) compared to those without, and this was observed across infection types (Table 2). After propensity score matching, those with a Z code were more likely to have an ED visit (OR 1.91, p < 0.001) and inpatient visit (OR 1.9, p < 0.001) compared to those without. Conclusion This large national cohort study found patients with HIV, TB, HBV and HCV had a higher prevalence of Z codes than patients with diabetes. Among patients with these infections, those with Z codes required significantly higher healthcare utilization. All medical conditions are an issue of health equity, but it is acutely apparent in infectious diseases. Determining patient populations with high social needs may identify areas for interventions to improve health outcomes. Disclosures All Authors: No reported disclosures

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Journal
Open Forum Infectious Diseases
Published
2026-01-01
DOI
https://doi.org/10.1093/ofid/ofaf695.2238
Primary Topic
Chronic Disease Management Strategies
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article
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article

P-2074. Prevalence and health care utilization outcomes of Z codes in patients with HIV, Tuberculosis Disease, Hepatitis B Virus Infection, and Hepatitis C virus Infection

Gavin Hui, Jananee Muralidharan, Daisuke Furukawa, C William Pike et al.
Open Forum Infectious Diseases
Chronic Disease Management Strategies
article

P-2074. Prevalence and health care utilization outcomes of Z codes in patients with HIV, Tuberculosis Disease, Hepatitis B Virus Infection, and Hepatitis C virus Infection

Gavin Hui, Jananee Muralidharan, Daisuke Furukawa, C William Pike, Jenna M Wick
article en

Abstract

Abstract Background There is growing recognition that social determinants of health (SDH) play a larger role than medical care. One method to identify SDH is with International Classification of Diseases, Tenth Revision (ICD-10) diagnosis codes known as Z codes, but the prevalence and utility of Z codes have not been studied in infectious diseases. Methods This retrospective cohort study used the “Apollo” Dataset on the Atropos Evidence Network, a national dataset with EHR data and linked claims from 2015-2023. We found Z code (ICD-10 codes Z55-65) prevalence in adults with a first ICD-10 HIV, tuberculosis (TB), hepatitis B (HBV) or hepatitis C (HCV) diagnosis, compared to those with a first diabetes diagnosis. Patients with multiple inclusion diagnoses were excluded. Among patients with infections, we compared the rates of ED and inpatient visits within 1 year in those with Z codes versus those without. Propensity scoring was used to balance confounders. Results 5,947 patients had infections (445 HIV, 2235 TB, 615 HBV, 2498 HCV) and 324,540 patients had diabetes. Z code prevalence was higher in patients with infections (n=698, 11.74%) compared to patients with diabetes (n=12559, 3.87%) (p< 0.001), and this trend was consistent across infection types (Table 1). After propensity score matching, patients with these infections were more likely to have a Z code (OR 1.74 p < 0.001) than patients with diabetes. Among patients with infections, those with Z codes had a higher rate of ED visits (60.6% vs 28.33%, p< 0.01) and inpatient visits (34.81% vs 12.75%, p< 0.001) compared to those without, and this was observed across infection types (Table 2). After propensity score matching, those with a Z code were more likely to have an ED visit (OR 1.91, p < 0.001) and inpatient visit (OR 1.9, p < 0.001) compared to those without. Conclusion This large national cohort study found patients with HIV, TB, HBV and HCV had a higher prevalence of Z codes than patients with diabetes. Among patients with these infections, those with Z codes required significantly higher healthcare utilization. All medical conditions are an issue of health equity, but it is acutely apparent in infectious diseases. Determining patient populations with high social needs may identify areas for interventions to improve health outcomes. Disclosures All Authors: No reported disclosures

Open Forum Infectious DiseasesVol. 13(Supplement_1)
Palo Alto University (US), New York Chiropractic College (US), Stanford University (US)
Reduced inequalities
Openalex Percentile: Top 92%
Chronic Disease Management Strategies
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