The prevalence of opioid misuse diagnostic codes in children with sickle cell disease

Hospitalized patients with sickle cell disease (SCD) may use opioid medications for both acute and chronic pain management. Use of these medications may unintentionally generate diagnostic codes for opioid misuse including "opioid use," "opioid abuse," and "opioid dependence," which connote a behavioral problem or addiction. In this study, we sought to compare diagnostic codes for opioid misuse amongst hospitalized patients with and without SCD. We performed a cross-sectional study of hospitalized non-obstetric, non-surgical, and non-elective patients with SCD using the National Inpatient Sample published by the Agency for Healthcare Research and Quality Hospital Cost Utilization Project during years 2016-2019. We used descriptive statistics to characterize patient demographics and opioid misuse diagnostic codes. We used Chi Square testing to compare rates of diagnostic codes for opioid misuse between patients with and without SCD. There were 165 ± 3 hospitalizations for SCD per 100,000 US population. Patients with SCD had higher rates of opioid misuse diagnostic codes for "opioid use" (0.3% vs 0.1%, <i>p</i> < 0.001) and "opioid dependence" (4.5% vs 1.6%, <i>p</i> < 0.001), but a lower rate for "opioid abuse" (0.2% vs 0.3%, <i>p</i> < 0.001). We found that diagnostic codes for opioid misuse are higher in those with SCD than without SCD, even at young ages, which impart substantial bias toward these patients.

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Publication Details

Journal
Pediatric Hematology and Oncology
Published
2024-12-11
DOI
https://doi.org/10.1080/08880018.2024.2437045
Citations
1
Primary Topic
Hemoglobinopathies and Related Disorders
Type
article
Field-Weighted Citation Impact
0.44
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article

The prevalence of opioid misuse diagnostic codes in children with sickle cell disease

Ajay Bhasin, Ann‐Marie Tantoco, Mark Kluk, Marty Steed et al.
1 citations
Pediatric Hematology and Oncology
Hemoglobinopathies and Related Disorders
0.44
article

The prevalence of opioid misuse diagnostic codes in children with sickle cell disease

Ajay Bhasin, Ann‐Marie Tantoco, Mark Kluk, Marty Steed, Jeffrey Merz, Sherif M. Badawy, Cheryl K. Lee
article en
1 citations

Abstract

Hospitalized patients with sickle cell disease (SCD) may use opioid medications for both acute and chronic pain management. Use of these medications may unintentionally generate diagnostic codes for opioid misuse including "opioid use," "opioid abuse," and "opioid dependence," which connote a behavioral problem or addiction. In this study, we sought to compare diagnostic codes for opioid misuse amongst hospitalized patients with and without SCD. We performed a cross-sectional study of hospitalized non-obstetric, non-surgical, and non-elective patients with SCD using the National Inpatient Sample published by the Agency for Healthcare Research and Quality Hospital Cost Utilization Project during years 2016-2019. We used descriptive statistics to characterize patient demographics and opioid misuse diagnostic codes. We used Chi Square testing to compare rates of diagnostic codes for opioid misuse between patients with and without SCD. There were 165 ± 3 hospitalizations for SCD per 100,000 US population. Patients with SCD had higher rates of opioid misuse diagnostic codes for "opioid use" (0.3% vs 0.1%, <i>p</i> < 0.001) and "opioid dependence" (4.5% vs 1.6%, <i>p</i> < 0.001), but a lower rate for "opioid abuse" (0.2% vs 0.3%, <i>p</i> < 0.001). We found that diagnostic codes for opioid misuse are higher in those with SCD than without SCD, even at young ages, which impart substantial bias toward these patients.

Pediatric Hematology and OncologyVol. 42(2)
Northwestern University (US), Lurie Children's Hospital (US), University of Michigan (US), Lurie Children's Hospital (US)
Good health and well-being
Openalex Percentile: Top 29%
Hemoglobinopathies and Related Disorders
0.44
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The prevalence of opioid misuse diagnostic codes in children with sickle cell disease — Ajay Bhasin, Ann‐Marie Tantoco, et al. · Pediatric Hematology and Oncology (2024) | TGRS Research Map | TGRS