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AHRQ Research Studies
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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
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1 to 4 of 4 Research Studies DisplayedFrimpong JA, Liu X, Liu L
AHRQ Author: Liu L
Adoption of electronic health record among substance use disorder treatment programs: nationwide cross-sectional survey study.
The purpose of this study was to explore the adoption of electronic health record (EHR) systems in substance use disorder (SUD) programs, with an emphasis on changes in adoption from 2014 to 2017, and identify organizational-level variables related with EHR adoption. The researchers utilized data from the 2014 and 2017 National Drug Abuse Treatment System Surveys, and analyzed 1,027 SUD programs. The study found the adoption of EHR increased significantly from 57.6% in 2014 to 69.2% in 2017. Nearly one-third of SUD programs had not yet adopted an EHR system by 2017. The researchers identified a significant increase in technology use and ownership by a parent company and a decrease in the percentage of uninsured patients in 2017 compared to 2014. Further analysis revealed significant differences by adoption status for three main barriers to adoption: 1. Costs of start-up, 2. Ongoing financial costs, and 3. Privacy or security concerns. Programs that used computerized scheduling and billing systems had a greater likelihood of adopting EHR. Ownership type, such as private nonprofit and public, or interest in taking part in a patient-centered medical home were related with a greater likelihood to adopt EHR. Overall, SUD programs were more likely to adopt an EHR system in 2017 compared to 2014.
AHRQ-authored.
Citation: Frimpong JA, Liu X, Liu L .
Adoption of electronic health record among substance use disorder treatment programs: nationwide cross-sectional survey study.
J Med Internet Res 2023 Dec 14; 25:e45238. doi: 10.2196/45238..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Substance Abuse, Behavioral Health
Tang LA, Jeffery AD, Leech AA
A comparison of methods to identify antenatal substance use within electronic health records.
This study described the development of a natural-language-processing-based algorithm for detecting antenatal substance use among individuals receiving perinatal care. Findings showed that the accuracy of antenatal substance use detection was improved with more stringent case definitions; however, the overall proportion of true cases confirmed by manual chart review decreased.
AHRQ-funded; HS026395.
Citation: Tang LA, Jeffery AD, Leech AA .
A comparison of methods to identify antenatal substance use within electronic health records.
Am J Obstet Gynecol MFM 2022 Mar;4(2):100535. doi: 10.1016/j.ajogmf.2021.100535..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Substance Abuse, Pregnancy, Women, Behavioral Health
Thompson HM, Sharma B, Bhalla S
Bias and fairness assessment of a natural language processing opioid misuse classifier: detection and mitigation of electronic health record data disadvantages across racial subgroups.
The objective of this study was to assess fairness and bias of a previously validated machine learning opioid misuse classifier. Two experiments were conducted with the classifier's original and external validation datasets from 2 health systems. Bias was assessed via testing for differences in type II error rates across racial/ethnic subgroups (Black, Hispanic/Latinx, White, Other) using bootstrapped 95% confidence intervals. The investigators concluded that standardized, transparent bias assessments were needed to improve trustworthiness in clinical machine learning models.
AHRQ-funded; HS026385.
Citation: Thompson HM, Sharma B, Bhalla S .
Bias and fairness assessment of a natural language processing opioid misuse classifier: detection and mitigation of electronic health record data disadvantages across racial subgroups.
J Am Med Inform Assoc 2021 Oct 12;28(11):2393-403. doi: 10.1093/jamia/ocab148..
Keywords: Opioids, Substance Abuse, Electronic Health Records (EHRs), Health Information Technology (HIT), Racial and Ethnic Minorities
Lapham GT, Rubinsky AD, Shortreed SM
Comparison of provider-documented and patient-reported brief intervention for unhealthy alcohol use in VA outpatients.
This study sought to determine if differences in how brief intervention (BI) was implemented across health systems could lead to differences in the proportion of documented BI recalled and reported by patients across health systems. It found that the association between documented BI and patient-reported BI did not vary across VA networks in adjusted logistic regression models.
AHRQ-funded; HS022800.
Citation: Lapham GT, Rubinsky AD, Shortreed SM .
Comparison of provider-documented and patient-reported brief intervention for unhealthy alcohol use in VA outpatients.
Drug Alcohol Depend 2015 Aug 1;153:159-66. doi: 10.1016/j.drugalcdep.2015.05.027..
Keywords: Alcohol Use, Electronic Health Records (EHRs), Health Information Technology (HIT), Substance Abuse