2022
Using the biomarker cotinine and survey self-report to validate smoking data from United States Veterans Health Administration electronic health records
McGinnis K, Skanderson M, Justice A, Tindle H, Akgün K, Wrona A, Freiberg M, Goetz M, Rodriguez-Barradas M, Brown S, Crothers K. Using the biomarker cotinine and survey self-report to validate smoking data from United States Veterans Health Administration electronic health records. JAMIA Open 2022, 5: ooac040. PMID: 37252267, PMCID: PMC9154288, DOI: 10.1093/jamiaopen/ooac040.Peer-Reviewed Original ResearchICD-10 codesClinical remindersCurrent smokingSmoking dataSelf-reported smoking statusVeterans Health Administration electronic health recordsCohort Study participantsElectronic health record dataHealth record dataElectronic health recordsSmoking informationSmoking statusSalivary cotinineEpidemiologic studiesInternational ClassificationSmokingCotinineStudy participantsICD-10Health systemHealth recordsRecord dataKappa statisticsAfrican AmericansRemindersGeographic and temporal variation in racial and ethnic disparities in SARS-CoV-2 positivity between February 2020 and August 2021 in the United States
Ferguson JM, Justice AC, Osborne TF, Magid HSA, Purnell AL, Rentsch CT. Geographic and temporal variation in racial and ethnic disparities in SARS-CoV-2 positivity between February 2020 and August 2021 in the United States. Scientific Reports 2022, 12: 273. PMID: 34997001, PMCID: PMC8741774, DOI: 10.1038/s41598-021-03967-5.Peer-Reviewed Original Research
2018
Patterns of Alcohol Use Among Patients Living With HIV in Urban, Large Rural, and Small Rural Areas
Bensley KM, McGinnis KA, Fortney J, Chan KCG, Dombrowski JC, Ornelas I, Edelman EJ, Goulet JL, Satre DD, Justice AC, Fiellin DA, Williams EC. Patterns of Alcohol Use Among Patients Living With HIV in Urban, Large Rural, and Small Rural Areas. The Journal Of Rural Health 2018, 35: 330-340. PMID: 30339740, PMCID: PMC6502702, DOI: 10.1111/jrh.12326.Peer-Reviewed Original ResearchConceptsSmall rural areasAlcohol useAUDIT-C alcoholElectronic health record dataHealth record dataAlcohol-related interventionsPrevalence of AUDAlcohol use outcomesHeavy episodic drinkingPLWHRural areasReporting useHIVUse outcomesRecord dataEpisodic drinkingPatientsPrevalenceRegression modelsDrinkingRuralityAUDUnique challengesAccuracy of electronic health record data for the diagnosis of chronic obstructive pulmonary disease in persons living with HIV and uninfected persons
Crothers K, Rodriguez CV, Nance RM, Akgun K, Shahrir S, Kim J, Hoo G, Sharafkhaneh A, Crane HM, Justice AC. Accuracy of electronic health record data for the diagnosis of chronic obstructive pulmonary disease in persons living with HIV and uninfected persons. Pharmacoepidemiology And Drug Safety 2018, 28: 140-147. PMID: 29923258, PMCID: PMC6309326, DOI: 10.1002/pds.4567.Peer-Reviewed Original ResearchMeSH KeywordsAdministration, InhalationAge FactorsAlgorithmsBronchodilator AgentsCohort StudiesData AccuracyData Interpretation, StatisticalDrug PrescriptionsElectronic Health RecordsFemaleHIV InfectionsHumansInternational Classification of DiseasesLogistic ModelsMaleMiddle AgedNebulizers and VaporizersPrevalencePulmonary Disease, Chronic ObstructiveRisk FactorsSmokingSpirometryConceptsChronic obstructive pulmonary diseaseICD-9 codesObstructive pulmonary diseaseElectronic health record dataHealth record dataPulmonary diseaseHIV-Associated Lung Emphysema (EXHALE) studyIntegrated Clinical Systems cohortVeterans Aging Cohort StudyHIV uninfected personsAIDS Research NetworkAging Cohort StudyRecord dataEHR dataReceiver-operating curveCohort studyRespiratory symptomsHIV statusUninfected personsClinical variablesDevelopment cohortClinical indicationsSpirometry dataSpirometryUninfected individuals
2017
Validating Harmful Alcohol Use as a Phenotype for Genetic Discovery Using Phosphatidylethanol and a Polymorphism in ADH1B
Justice AC, McGinnis KA, Tate JP, Xu K, Becker WC, Zhao H, Gelernter J, Kranzler HR. Validating Harmful Alcohol Use as a Phenotype for Genetic Discovery Using Phosphatidylethanol and a Polymorphism in ADH1B. Alcohol Clinical And Experimental Research 2017, 41: 998-1003. PMID: 28295416, PMCID: PMC5501250, DOI: 10.1111/acer.13373.Peer-Reviewed Original ResearchConceptsHarmful alcohol useAlcohol exposureAlcohol useElectronic health record dataEHR dataAUDIT-C scoresHealth record dataLongitudinal electronic health record dataLongitudinal trajectoriesChi-square testEHR-derived phenotypesStudy cohortBlood drawCommon missense polymorphismGenetic risk variantsBlood samplingMissense polymorphismAlcohol riskQuantitative biomarkersRecord dataMedianRisk variantsOverall sampleAfrican AmericansADH1B gene
2016
Comparison of AUDIT-C collected via electronic medical record and self-administered research survey in HIV infected and uninfected patients
McGinnis KA, Tate JP, Williams EC, Skanderson M, Bryant KJ, Gordon AJ, Kraemer KL, Maisto SA, Crystal S, Fiellin DA, Justice AC. Comparison of AUDIT-C collected via electronic medical record and self-administered research survey in HIV infected and uninfected patients. Drug And Alcohol Dependence 2016, 168: 196-202. PMID: 27694059, PMCID: PMC5086273, DOI: 10.1016/j.drugalcdep.2016.09.015.Peer-Reviewed Original ResearchConceptsUnhealthy alcohol useVeterans Aging Cohort StudyAlcohol useClinical screeningElectronic medical record dataHepatitis C infectionAging Cohort StudyMedical record dataElectronic medical recordsUninfected womenC infectionUninfected menUninfected patientsCohort studyMedical recordsUninfected individualsClinical decisionHIVModerate agreementRecord dataEMR dataMenAssess agreementWomenEMR
2013
Personal Health Record Use and Its Association with Antiretroviral Adherence: Survey and Medical Record Data from 1871 US Veterans Infected with HIV
Keith McInnes D, Shimada SL, Rao SR, Quill A, Duggal M, Gifford AL, Brandt CA, Houston TK, Ohl ME, Gordon KS, Mattocks KM, Kazis LE, Justice AC. Personal Health Record Use and Its Association with Antiretroviral Adherence: Survey and Medical Record Data from 1871 US Veterans Infected with HIV. AIDS And Behavior 2013, 17: 3091-3100. PMID: 23334359, DOI: 10.1007/s10461-012-0399-3.Peer-Reviewed Original ResearchConceptsPersonal health record useMedical record dataPHR useAntiretroviral adherenceElectronic personal health record useVeterans Aging Cohort StudyRecord useHIV care processesMedication possession ratioAging Cohort StudyPharmacy refill dataRecord dataImproved patient outcomesCross-sectional surveyCohort studyPossession ratioDepression careRefill dataMedication adherenceUS veteransPatient outcomesAdherence measuresCare processesSocio-demographic variablesAdherence