2025
Hospital-based Stigma Practices Towards Individuals With Opioid Use Disorder: A Qualitative Study in Austin, Texas Hospital Stigma Practices Impacting Patients With OUD
Christian N, Baysinger A, Bottner R, Cowley C, Nekolaichuk R, Owen P, Smith B, Sue K. Hospital-based Stigma Practices Towards Individuals With Opioid Use Disorder: A Qualitative Study in Austin, Texas Hospital Stigma Practices Impacting Patients With OUD. American Journal Of Medicine Open 2025, 100106. DOI: 10.1016/j.ajmo.2025.100106.Peer-Reviewed Original ResearchOpioid use disorderCare teamCare practicesHospital settingFocus groupsCare experiences of peopleQualitative studyIn-person focus groupsPositive care experiencesHospital-based providersUse disorderHospital-based carePatient-centered practiceExpertise of patientsStigma of patientsExperiences of peopleSemi-structured interviewsInternalized stigmaHealthcare experiencesStigma experiencesCare deliveryCare experiencesReceiving healthcareCategorize themesStigmatizing experiences“Sleep Is Not Getting the Attention It Deserves”
Gaffey A, Mattocks K, Yaggi H, Marteeny V, Walker L, Brandt C, Haskell S, Bastian L, Burg M. “Sleep Is Not Getting the Attention It Deserves”. Medical Care 2025, 63: 472-478. PMID: 40307672, DOI: 10.1097/mlr.0000000000002152.Peer-Reviewed Original ResearchConceptsVA careSleep managementSleep healthCohort of U.S. veteransSemistructured qualitative interviewsMental health providersMental health screeningVA Medical CenterSleep management practicesPost-9/11 veteransPrimary careProvider knowledgeHealth providersCare practicesRoutine educationFront lineHealth screeningUnique barriersInductive codingStandard educationQualitative interviewsU.S. veteransCareSleep knowledgeProvidersHistorical Perspectives on Hair Care and Common Styling Practices in Black Women.
Wong N, Williams K, Tolliver S, Potts G. Historical Perspectives on Hair Care and Common Styling Practices in Black Women. Cutis 2025, 115: 95-98. PMID: 40315468, DOI: 10.12788/cutis.1183.Peer-Reviewed Original ResearchAnalysis of Cohort Stepped Wedge Cluster‐Randomized Trials With Nonignorable Dropout via Joint Modeling
Gasparini A, Crowther M, Hoogendijk E, Li F, Harhay M. Analysis of Cohort Stepped Wedge Cluster‐Randomized Trials With Nonignorable Dropout via Joint Modeling. Statistics In Medicine 2025, 44: e10347. PMID: 39963907, PMCID: PMC11833761, DOI: 10.1002/sim.10347.Peer-Reviewed Original ResearchConceptsStepped wedge cluster randomized trialDropout processNonignorable missing outcomesParallel-arm cluster-randomized trialsCluster randomized trialNonignorable dropoutsJoint longitudinal-survival modelLongitudinal submodelData-generating scenariosMissingness patternsJoint modeling methodologyCorrelation structureMonte Carlo simulationsLongitudinal outcomesJoint modelEffective parametrizationPrimary care practicesGeriatric care modelsCarlo simulationsFrail older adultsAssociation structureSubmodelsCare modelUsual careCare practicesEndpoint assessment via routinely collected data generates estimates comparable to randomized controlled trial data: analysis of a cluster-randomized trial on fall injury prevention
Ganz D, Greene E, Latham N, Kane M, Min L, Gill T, Reuben D, Peduzzi P, Esserman D. Endpoint assessment via routinely collected data generates estimates comparable to randomized controlled trial data: analysis of a cluster-randomized trial on fall injury prevention. Journal Of Clinical Epidemiology 2025, 181: 111718. PMID: 39938700, PMCID: PMC12103980, DOI: 10.1016/j.jclinepi.2025.111718.Peer-Reviewed Original ResearchRatio of hazard ratiosHazard ratioConfidence intervalsDevelop Confidence in EldersEnhanced usual careFall injury riskPrimary care practicesFall injury preventionPrimary outcomeIncreasing length of follow-upCluster randomized trialUS healthcare systemStudy dataEstimates of validityUsual careInjury preventionCare practicesMultifactorial interventionOutcome ascertainmentInjury riskCluster-randomizedCare managementRandomized controlled trial dataStride dataHealthcare systemPatterns of adjuvant bone modifying agent use in patients with early-stage breast cancer in the United States
Odzer N, Chehayeb R, Schellhorn S, Lustberg M, Gross C, Lee D, Foldi J. Patterns of adjuvant bone modifying agent use in patients with early-stage breast cancer in the United States. Breast Cancer Research 2025, 27: 102. PMID: 40500761, PMCID: PMC12160112, DOI: 10.1186/s13058-025-02062-1.Peer-Reviewed Original ResearchConceptsEarly-stage breast cancerBone-modifying agentsBreast cancerAssociated with increased receiptHealth care practicesFactors associated with receiptPost-menopausal statusInconsistent prescribingCare practicesRetrospective cohort studyElectronic health record-derived databaseReceipt of adjuvant chemotherapyEstrogen receptor (ER)-positiveSurvey-based studyYears of ageClinical guidelinesCohort studyUnited StatesProportion of patientsChi-squareAdjuvant bisphosphonatesResultsOur cohortNode-negativeEndocrine therapyPrescribingWhat Should Health Professions Students Learn About Data Bias?
Shenson D, Sheares B, Fearce C. What Should Health Professions Students Learn About Data Bias? The AMA Journal Of Ethic 2025, 27: e14-20. PMID: 39745910, DOI: 10.1001/amajethics.2025.14.Peer-Reviewed Original Research
2024
Use of Practices to Reduce of Sudden Unexpected Infant Death among Caregivers of Opioid Exposed Newborns.
Parker M, Rice F, Peguero C, Evans A, Schiff D, Colvin B, Friedman H, Harer K, Kerr S, Corwin M, Heeren T, Colson E, Wachman E. Use of Practices to Reduce of Sudden Unexpected Infant Death among Caregivers of Opioid Exposed Newborns. Journal Of Addiction Medicine 2024 PMID: 39787446, DOI: 10.1097/adm.0000000000001442.Peer-Reviewed Original ResearchSudden unexpected infant deathInfant care practicesSleep positionInfant deathsOpioid-exposed newbornsExposed to cigarette smokePostnatal cigarette smoke exposureCigarette smoke exposureNonsupine sleeping positionsSleeping spaceExposed newbornsCare practicesPrimary caregiversBreastfeeding initiationCigarette smokingSmoke exposureInfantsEnglish-speaking mothersSoft beddingSleep locationPilot sampleUse of practicesMothersSleepDeathEvaluation of parent reminder-recall letters to promote human papillomavirus vaccination
Griffin J, Zhu X, Kong W, Jacobson R, MacLaughlin K, St. Sauver J, Herrin J, Jenkins G, Larson N, Rutten L. Evaluation of parent reminder-recall letters to promote human papillomavirus vaccination. Preventive Medicine Reports 2024, 49: 102942. PMID: 39758286, PMCID: PMC11699728, DOI: 10.1016/j.pmedr.2024.102942.Peer-Reviewed Original ResearchHuman papillomavirus vaccineHuman papillomavirusStepped-wedge cluster randomized trialVaccination statusHPV vaccination statusPrimary care practicesVaccine uptakeCluster randomized trialCross-sectional evaluationChildren's vaccination statusAge-eligible childrenPapillomavirus vaccineRandomized trialsUsual careCare practicesProcess evaluationIncrease vaccine uptakeVaccine misperceptionsVaccineVaccine safetyQuestionnaireChildrenCommunication strategiesPatient Characteristics and Practice Variation Associated With New Community Prescription of Benzodiazepine and z‐Drug Hypnotics After Critical Illness: A Retrospective Cohort Study Using the UK Clinical Practice Research Datalink
Mansi E, Rentsch C, Bourne R, Guthrie B, Lone N. Patient Characteristics and Practice Variation Associated With New Community Prescription of Benzodiazepine and z‐Drug Hypnotics After Critical Illness: A Retrospective Cohort Study Using the UK Clinical Practice Research Datalink. Pharmacoepidemiology And Drug Safety 2024, 33: e70056. PMID: 39603606, PMCID: PMC11602247, DOI: 10.1002/pds.70056.Peer-Reviewed Original ResearchConceptsCommunity prescriptionsZ-drugsIllness survivorsRetrospective cohort studyClinical Practice Research Datalink dataPractice variationUK Clinical Practice Research DatalinkClinical Practice Research DatalinkWorsening mental health conditionsCohort studyMultilevel multivariable logistic regressionSurvivors of critical illnessZ-drug prescribingCritical care survivorsPrimary care practicesCritical illnessMental health conditionsZ-drug prescriptionsCritical illness survivorsMultivariate logistic regressionPrescription opioid useCare practicesRisk of adverse eventsHealth conditionsHistory of insomniaGuideline concordance of electronic health record order sets for hospital‐based treatment of alcohol withdrawal syndrome
Cohen S, Kashyap N, Steel T, Edelman E, Fiellin D, Joudrey P. Guideline concordance of electronic health record order sets for hospital‐based treatment of alcohol withdrawal syndrome. Journal Of Hospital Medicine 2024, 20: 550-561. PMID: 39580659, DOI: 10.1002/jhm.13556.Peer-Reviewed Original ResearchElectronic health recordsElectronic health record ordersTreatment of alcohol withdrawal syndromeSevere alcohol withdrawal syndromeTreatment of unhealthy alcohol useAlcohol withdrawal syndromeUnhealthy alcohol useAcute care hospitalsHospital organizationCross-sectional studyHospital-based treatmentCare practicesHealth recordsCare escalationGuideline concordanceSymptom assessmentCare hospitalProtocolized careRecord ordersAlcohol use disorderSymptom scoresAlcohol useSubstance useHospitalInconsistent definitionsBias in medical AI: Implications for clinical decision-making
Cross J, Choma M, Onofrey J. Bias in medical AI: Implications for clinical decision-making. PLOS Digital Health 2024, 3: e0000651. PMID: 39509461, PMCID: PMC11542778, DOI: 10.1371/journal.pdig.0000651.Peer-Reviewed Original ResearchMedical AIArtificial intelligenceClinical decision-makingSupervised learning modelsMedical artificial intelligenceDiverse data setsSocial determinants of healthDeployment solutionDeterminants of healthAI algorithmsData featuresDebiasing methodsPerformance metricsLearning modelsAI lifecycleAI developmentModel interpretationData setsSuboptimal performanceModel's clinical utilityHealthcare disparitiesSocial determinantsCare practicesDecision-makingImplicit cognitive biasesWe can do better: Recommendations for mental health crisis care from people with lived experience
Roennfeldt H, Glover H, Castles C, Roper C, Hill N, Byrne L, Hamilton B. We can do better: Recommendations for mental health crisis care from people with lived experience. Emergency Medicine Australasia 2024, 37: e14528. PMID: 39501812, DOI: 10.1111/1742-6723.14528.Peer-Reviewed Original ResearchEditorial: The Critical Examination of Autism Screening Tools: A Call for Addressing False Negatives
Øien R. Editorial: The Critical Examination of Autism Screening Tools: A Call for Addressing False Negatives. Journal Of The American Academy Of Child & Adolescent Psychiatry 2024, 64: 659-661. PMID: 39510313, DOI: 10.1016/j.jaac.2024.10.012.Peer-Reviewed Original ResearchWell-child check-upsCluster randomized controlled trialRevised with Follow-UpM-CHAT-R/FModified Checklist for AutismAutism screening toolCare practicesReferral ratesAutism spectrum disorderDiverse sampleCheck-upScreening toolPediatric practiceControlled trialsCritical examinationAutism screeningEarly identificationExternal Validation of an Electronic Phenotyping Algorithm Detecting Attention to High Body Mass Index in Pediatric Primary Care
Barron A, Fenick A, Maciejewski K, Turer C, Sharifi M. External Validation of an Electronic Phenotyping Algorithm Detecting Attention to High Body Mass Index in Pediatric Primary Care. Applied Clinical Informatics 2024, 15: 700-708. PMID: 39197473, PMCID: PMC11387092, DOI: 10.1055/s-0044-1787975.Peer-Reviewed Original ResearchConceptsElectronic health recordsBody mass indexPediatric primary careElevated body mass indexWeight-related comorbiditiesPrimary carePediatric primary care practicesElectronic health record dataBody mass index categoriesMass indexImprove obesity managementPrimary care practicesWell-child visitsHigher body mass indexChart reviewLikelihood of classificationElectronic phenotyping algorithmsFree-text componentsClinician typeCare practicesHealth recordsClinician behaviorLaboratory ordersProgress notesObesity managementLearning implementation of a guideline based decision support system to improve hypertension treatment in primary care in China: pragmatic cluster randomised controlled trial
Song J, Wang X, Wang B, Ge Y, Bi L, Jing F, Jin H, Li T, Gu B, Wang L, Hao J, Zhao Y, Liu J, Zhang H, Li X, Li J, Ma W, Wang J, Normand S, Herrin J, Armitage J, Krumholz H, Zheng X. Learning implementation of a guideline based decision support system to improve hypertension treatment in primary care in China: pragmatic cluster randomised controlled trial. The BMJ 2024, 386: e079143. PMID: 39043397, PMCID: PMC11265211, DOI: 10.1136/bmj-2023-079143.Peer-Reviewed Original ResearchConceptsClinical decision support systemsPrimary care practicesElectronic health recordsIntervention groupSystolic blood pressurePrimary careCare practicesBlood pressure <Health recordsPragmatic cluster randomised controlled trialCluster randomised controlled trialImproving hypertension treatmentPrimary care settingBlood pressure control ratesBlood pressureProportion of visitsProportion of participantsRandomised controlled trialsSystolic blood pressure <Control groupInjurious fallsRelated visitsCare settingsDiastolic blood pressure <Follow-upConsiderations and Actionable Steps to Promote Scaling of Early Autism Diagnosis in Community Primary Care Practice
Keehn R, Penner M, Shannon J, Sohl K, Weitzman C, Zuckerman K. Considerations and Actionable Steps to Promote Scaling of Early Autism Diagnosis in Community Primary Care Practice. Journal Of Developmental And Behavioral Pediatrics 2024, 45: e492-e496. PMID: 38996205, DOI: 10.1097/dbp.0000000000001297.Peer-Reviewed Original ResearchSystemic Anticancer Therapy and Overall Survival in Patients With Very Advanced Solid Tumors
Canavan M, Wang X, Ascha M, Miksad R, Showalter T, Calip G, Gross C, Adelson K. Systemic Anticancer Therapy and Overall Survival in Patients With Very Advanced Solid Tumors. JAMA Oncology 2024, 10: 887-895. PMID: 38753341, PMCID: PMC11099840, DOI: 10.1001/jamaoncol.2024.1129.Peer-Reviewed Original ResearchNational Quality ForumQuintile 5Quintile 1Improve end-of-life careEnd-of-life careCohort studyNationwide population-based cohort studyPopulation-based cohort studyEnd of lifeElectronic health record databaseHealth care practicesColorectal cancerPopulation of patientsCox proportional hazards modelsAmerican Society of Clinical OncologyQuality ForumCare practicesOverall survivalPayment incentivesProportional hazards modelHighest quintileMultivariate Cox proportional hazards modelQuintileFlatiron HealthHazard ratioAssessing readiness to use electronic health record data for outcome ascertainment in clinical trials – A case study
Esserman D, Greene E, Latham N, Kane M, Lu C, Peduzzi P, Gill T, Ganz D. Assessing readiness to use electronic health record data for outcome ascertainment in clinical trials – A case study. Contemporary Clinical Trials 2024, 142: 107572. PMID: 38740298, PMCID: PMC11654751, DOI: 10.1016/j.cct.2024.107572.Peer-Reviewed Original ResearchElectronic health record dataElectronic health recordsOutcome ascertainmentDevelop Confidence in EldersElectronic health record platformsClinical sitesPrimary care practicesHealth record dataMulti-site trialMulti-site clinical trialCare practicesHealth recordsAssess readinessAcute clinical outcomesHealthcare systemRecord dataClinical trialsReduce injuriesData qualityData comprehensionChecklistStudy dataClinical trial sitesVariable data qualityAscertainmentHigh Blood Pressure in Children Aged 3 to 12 Years Old With Overweight or Obesity
Nugent J, Maciejewski K, Finn E, Grout R, Wood C, Esserman D, Michel J, Lu Y, Sharifi M. High Blood Pressure in Children Aged 3 to 12 Years Old With Overweight or Obesity. Childhood Obesity 2024, 20: 581-589. PMID: 38700557, DOI: 10.1089/chi.2023.0143.Peer-Reviewed Original ResearchHypertensive BPHigh blood pressurePrevalence of high blood pressurePrimary care practicesAssociated with higher oddsUS health systemBlood pressureSustained hypertensionPre-intervention dataAged 3Multivariate logistic regressionStudy periodObesity practiceChildren aged 3Care practicesBMI classificationHealth systemBP percentilesHigher oddsDiagnosing sustained hypertensionObesity severityOverweight/obesityLogistic regressionHigh BPIII obesity
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