Publications by authors named "Kaitlin M McGrew"
Importance: In 2019, hepatitis C virus (HCV) infection contributed to more deaths in the US than 60 other notifiable infectious diseases combined. The incidence of and mortality associated with HCV infection are highest among American Indian and Alaska Native individuals.
Objective: To evaluate the association of the Cherokee Nation (CN) HCV elimination program with each element of the cascade of care: HCV screening, linkage to care, treatment, and cure.
Administrative health databases have been used to monitor trends in infective endocarditis hospitalization related to nonprescription injection drug use (IDU) using International Classification of Diseases (ICD) code algorithms. Because no ICD code for IDU exists, drug dependence and hepatitis C virus (HCV) have been used as surrogate measures for IDU, making misclassification error (ME) a threat to the accuracy of existing estimates. In a serial cross-sectional analysis, we compared the unadjusted and ME-adjusted prevalences of IDU among 70,899 unweighted endocarditis hospitalizations in the 2007-2016 National Inpatient Sample.
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- Researchers evaluated the effectiveness of ICD code algorithms in identifying cases of illicit injection drug use (IDU) among patients hospitalized for infective endocarditis (IE).
- The study analyzed medical records of 321 patients, measuring the algorithms' sensitivity and specificity through diagnostic tests, including self-reported drug use and various ICD coding methods.
- Findings showed that while the combination algorithm had high sensitivity, it also had low specificity, indicating that commonly used ICD-based algorithms may lead to inaccurate prevalence estimates of IDU when using administrative health data.
Background: The twenty-first century opioid crisis has spurred interest in using International Classification of Diseases (ICD) code algorithms to identify patients using illicit drugs from administrative healthcare data. We conducted a systematic review of studies that validated ICD code algorithms for illicit drug use against a reference standard of medical record data.
Methods: Systematic searches of MEDLINE, EMBASE, PsycINFO, and Web of Science were conducted for studies published between 1980 and 2018 in English, French, Italian, or Spanish.
Objectives: To compare risks of distant-stage colorectal cancer (CRC) diagnosis between whites and American Indian/Alaska Natives (AI/ANs) and to explore effect modification by area-based socioeconomic status (SES).
Design: Retrospective cohort study using data from the Oklahoma Central Cancer Registry.
Setting: Oklahoma.