2024
Recommendations for monitoring adherence and fidelity in pragmatic trials based on experience in the Pain Management Collaboratory
Dziura J, Gilstad-Hayden K, Coffman C, Long C, Yu Q, Buta E, Coggeshall S, Geda M, Peduzzi P, Kyriakides T. Recommendations for monitoring adherence and fidelity in pragmatic trials based on experience in the Pain Management Collaboratory. Pain Medicine 2024, 25: s41-s48. PMID: 39514878, PMCID: PMC11548857, DOI: 10.1093/pm/pnae080.Peer-Reviewed Original ResearchConceptsPain Management CollaboratoryPragmatic trialPragmatic Explanatory Continuum Indicator SummaryMonitor adherenceElectronic health recordsFidelity dataIntervention deliveryIntervention fidelityIndicator SummaryHealth recordsTrial interventionProtocol adherenceParticipant engagementStudy teamAdherence dataAdherenceTrial integrityInterventionParticipantsSafety monitoring boardFrequent sourcePainLevel of monitoringTrialsMonitoring boardA randomized controlled trial of potential tobacco policies prohibiting menthol flavor in cigarettes and e-cigarettes: a study protocol
Bold K, Sharma A, Haeny A, Gueorguieva R, Buta E, Baldassarri S, Lempert L, Krishnan-Sarin S, O’Malley S. A randomized controlled trial of potential tobacco policies prohibiting menthol flavor in cigarettes and e-cigarettes: a study protocol. BMC Psychiatry 2024, 24: 201. PMID: 38475757, PMCID: PMC10935798, DOI: 10.1186/s12888-024-05619-0.Peer-Reviewed Original ResearchConceptsSmoking menthol cigarettesE-cigarettesCigarette useReduce tobacco-related health disparitiesTobacco-related health disparitiesMenthol cigarettesRates of menthol cigarette useTobacco use statusMenthol cigarette useRandomized controlled trialsPublic health problemHealth disparitiesTobacco policiesFlavored e-cigarettesSmoke-freeMenthol flavorsMenthol policiesBlack adultsQuit smokingNon-Black participantsSmoking behaviorFollow-up visitHealth problemsSecondary outcomesE-cigarette products
2023
Development and Psychometric Assessment of the Weight and Eating Quality of Life (WE-QOL) Scale in US Military Veterans
Masheb R, Snow J, Fenn L, Antoniadis N, Raffa S, Ruser C, Buta E. Development and Psychometric Assessment of the Weight and Eating Quality of Life (WE-QOL) Scale in US Military Veterans. Journal Of General Internal Medicine 2023, 38: 2076-2081. PMID: 36973571, PMCID: PMC10361921, DOI: 10.1007/s11606-023-08132-4.Peer-Reviewed Original ResearchConceptsVeterans Health AdministrationPopulation health metricsQOL measuresGeneric health-related QOL measuresHealth-related QOL measuresHealth metricsWeight management programPopulation health approachObesity-related diseasesQuality of careUS military veteransClinical remindersUS veteransPhysical activityHealth AdministrationPatient careEuropean QualityHealth approachWeight gainPhysical discomfortWeight stigmaMilitary veteransPsychometric assessmentEmotional distressLife ScaleThe first nicotine product tried is associated with current multiple nicotine product use and nicotine dependence among a nationally representative sample of U.S. youths
Simon P, Buta E, Jackson A, Camenga D, Kong G, Morean M, Bold K, Davis D, Krishnan-Sarin S, Gueorguieva R. The first nicotine product tried is associated with current multiple nicotine product use and nicotine dependence among a nationally representative sample of U.S. youths. Preventive Medicine 2023, 169: 107437. PMID: 36731754, PMCID: PMC10507373, DOI: 10.1016/j.ypmed.2023.107437.Peer-Reviewed Original ResearchConceptsNicotine product useSymptoms of dependenceNicotine dependenceMultiple product useSmokeless tobaccoNicotine productsProduct useSeparate multinomial logistic regression modelsHealth Study Waves 1Wave 1Smokeless tobacco usersHigher nicotine dependence scoresNicotine dependence scoresDemographic factorsLogistic regression modelsMultinomial logistic regression modelsMultivariable modelTobacco usersHigh riskDependence scoresSymptomsGreater likelihoodUse statusWave 4Regression models
2022
Using Daily Ratings to Examine Treatment Dose and Response in Cognitive Behavioral Therapy for Chronic Pain: A Secondary Analysis of the Co-Operative Pain Education and Self-Management Clinical Trial
MacLean R, Buta E, Higgins D, Driscoll M, Edmond S, LaChappelle K, Ankawi B, Krein S, Piette J, Heapy A. Using Daily Ratings to Examine Treatment Dose and Response in Cognitive Behavioral Therapy for Chronic Pain: A Secondary Analysis of the Co-Operative Pain Education and Self-Management Clinical Trial. Pain Medicine 2022, 24: 846-854. PMID: 36484691, PMCID: PMC10250557, DOI: 10.1093/pm/pnac192.Peer-Reviewed Original ResearchConceptsPain intensityCognitive behavioral therapyCBT-CPChronic painTreatment responseDaily stepsSecondary analysisBehavioral therapyMeaningful changeChronic back painStrong evidence baseBack painPain educationTreatment weekClinical trialsNoninferiority trialTreatment benefitOutcome measuresWeek 4Treatment doseWeek 2Baseline weekMost respondersSurvival analysisStep countModels for Zero-Inflated and Overdispersed Correlated Count Data: An Application to Cigarette Use
Pittman B, Buta E, Garrison K, Gueorguieva R. Models for Zero-Inflated and Overdispersed Correlated Count Data: An Application to Cigarette Use. Nicotine & Tobacco Research 2022, 25: 996-1003. PMID: 36318799, PMCID: PMC10077942, DOI: 10.1093/ntr/ntac253.Peer-Reviewed Original ResearchConceptsCorrelated count dataCount outcomesCount dataSubject-specific interpretationZero-InflatedIncorrect statistical inferenceStatistical inferenceCorrelated countsPoisson distributionOverdispersionModel assumptionsPoisson modelRandom effectsHurdle Poisson modelProper modelNegative binomial modelBinomial modelSuch dataAppropriate modelBest fitLarge varianceTobacco researchSuch outcomesModel fitTraining app
2017
Interactive Voice Response–Based Self-management for Chronic Back Pain: The COPES Noninferiority Randomized Trial
Heapy AA, Higgins DM, Goulet JL, LaChappelle KM, Driscoll MA, Czlapinski RA, Buta E, Piette JD, Krein SL, Kerns RD. Interactive Voice Response–Based Self-management for Chronic Back Pain: The COPES Noninferiority Randomized Trial. JAMA Internal Medicine 2017, 177: 765-773. PMID: 28384682, PMCID: PMC5818820, DOI: 10.1001/jamainternmed.2017.0223.Peer-Reviewed Original ResearchConceptsPerson cognitive-behavioural therapyChronic back painNumeric rating scaleCognitive behavioral therapyBack painChronic painPrimary outcomeSleep qualityVeterans Affairs Health Care SystemPrespecified noninferiority marginAverage pain intensityNonpharmacologic treatment optionsPain-related interferenceChronic pain treatmentSelf-management trialCognitive behavioral therapy deliveryIndividual CBT sessionsEvidence-based treatmentsQuality of lifeSelf-help manualHealth care systemIVR monitoringNonpharmacologic interventionsSecondary outcomesStandard therapy
2014
Using Multiple Daily Pain Ratings to Improve Reliability and Assay Sensitivity: How Many Is Enough?
Heapy A, Dziura J, Buta E, Goulet J, Kulas JF, Kerns RD. Using Multiple Daily Pain Ratings to Improve Reliability and Assay Sensitivity: How Many Is Enough? Journal Of Pain 2014, 15: 1360-1365. PMID: 25283469, DOI: 10.1016/j.jpain.2014.09.012.Peer-Reviewed Original ResearchConceptsPain intensity ratingsPain treatment trialsPain ratingsTreatment trialsIntensity ratingsDaily pain ratingsMedical Center patientsIMMPACT recommendationsBaseline measurement periodCenter patientsPain assessmentBland-Altman analysisClinical trialsSecondary data analysisDaily callsDaily ratingsTrialsMeaningful differencesAssay sensitivityMeasure reliabilityAdequate reliabilitySpecific recommendationsPatientsSmall subsetBaseline