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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.
Results
1 to 5 of 5 Research Studies DisplayedThompson 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
Jackman KP, Hightow-Weidman L, Poteat T
Evaluating psychometric determinants of willingness to adopt sexual health patient portal services among black college students: a mixed-methods approach.
The authors used mixed methods to describe perceptions of access to sexually transmitted infection test results via electronic personal health record (PHR) and correlates of willingness to adopt its use. Three qualitative themes emerged on relative advantages, barriers, and functionality of PHRs. Reliable latent factors, centering on PHR convenience and functionality, were positively associated with adoption willingness. Adoption may be boosted with tailored designs responsive to expressed service needs.
AHRQ-funded; HS023057.
Citation: Jackman KP, Hightow-Weidman L, Poteat T .
Evaluating psychometric determinants of willingness to adopt sexual health patient portal services among black college students: a mixed-methods approach.
J Am Coll Health 2021 Feb-Mar;69(2):190-97. doi: 10.1080/07448481.2019.1660352..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Racial and Ethnic Minorities, Young Adults, Sexual Health, Disparities, Infectious Diseases
Huguet N, Schmidt T, Larson A
Prevalence of pre-existing conditions among community health center patients with COVID-19: implications for the Patient Protection and Affordable Care Act.
Researchers described the prevalence of pre-existing conditions among community health center patients overall and those with COVID-19 by race/ethnicity. Electronic health record data from OCHIN, a network of 396 community health centers across 14 states, was used. They concluded that since the future of the Patient Protection and Affordable Care Act is uncertain, and since the long-term health effects of COVID-19 are largely unknown, ensuring that people with pre-existing conditions can acquire health insurance is essential to achieving health equity.
AHRQ-funded; HS025962.
Citation: Huguet N, Schmidt T, Larson A .
Prevalence of pre-existing conditions among community health center patients with COVID-19: implications for the Patient Protection and Affordable Care Act.
J Am Board Fam Med 2021 Feb;34(Suppl):S247-s49. doi: 10.3122/jabfm.2021.S1.200571..
Keywords: Electronic Health Records (EHRs), COVID-19, Racial and Ethnic Minorities, Policy, Healthcare Delivery
Grundmeier RW, Song L, Ramos MJ
Imputing missing race/ethnicity in pediatric electronic health records: Reducing bias with use of U.S. census location and surname data.
The researchers assessed the utility of imputing race/ethnicity using U.S. Census race/ethnicity, residential address, and surname information compared to standard missing data methods in a pediatric cohort. In a simulation experiment, they constructed dichotomous and continuous outcomes with pre-specified associations with known race/ethnicity. They found that imputation using U.S. Census information reduced bias for both continuous and dichotomous outcomes.
AHRQ-funded; HS021645.
Citation: Grundmeier RW, Song L, Ramos MJ .
Imputing missing race/ethnicity in pediatric electronic health records: Reducing bias with use of U.S. census location and surname data.
Health Serv Res 2015 Aug;50(4):946-60. doi: 10.1111/1475-6773.12295..
Keywords: Health Information Technology (HIT), Electronic Health Records (EHRs), Children/Adolescents, Racial and Ethnic Minorities
Bakken SN, Hill JN, Guihan M
Factors influencing consent for electronic data linkage in urban Latinos.
Within the context of patient participation in a Learning Health System, this study examined consent rates and factors associated with consent for linking survey data with electronic clinical data in a sample of 2,271 Latinos. Consent rate was 96.3%. Government insurance status and health literacy significantly influenced the odds of consent.
AHRQ-funded; HS022961.
Citation: Bakken SN, Hill JN, Guihan M .
Factors influencing consent for electronic data linkage in urban Latinos.
Stud Health Technol Inform 2015;216:984..
Keywords: Racial and Ethnic Minorities, Health Information Technology (HIT), Electronic Health Records (EHRs), Data, Racial and Ethnic Minorities