Karthik Rohatgi, MD
Cards
About
Research
Publications
2022
1906. Impact of Mask Mandate Timing on Community Transmission of SARS-CoV-2 in the St. Louis Metropolitan Area
Rohatgi K, Fox B, Tram K, Geng E, Mody A. 1906. Impact of Mask Mandate Timing on Community Transmission of SARS-CoV-2 in the St. Louis Metropolitan Area. Open Forum Infectious Diseases 2022, 9: ofac492.1533. DOI: 10.1093/ofid/ofac492.1533.Peer-Reviewed Original ResearchHospital censusPopulation-level behaviour changeIncreased maskingLocal public health responseBehavioral changesImpact of interventionsPublic health responsePublic health toolSevere COVID-19 outcomesDeath dataHealth toolsCounty residentsAggregate HospitalizationHealth responseCumulative hospitalizationsReturn to baselineSt. Louis CityCommunity transmission of SARS-CoV-2Metropolitan areaCOVID-19 outcomesTransmission of SARS-CoV-2Mask mandatesCounterfactual scenariosDuration of implementationHospital
2021
Medication Adherence and Characteristics of Patients Who Spend Less on Basic Needs to Afford Medications
Rohatgi K, Humble S, McQueen A, Hunleth J, Chang S, Herrick C, James A. Medication Adherence and Characteristics of Patients Who Spend Less on Basic Needs to Afford Medications. The Journal Of The American Board Of Family Medicine 2021, 34: 561-570. PMID: 34088816, DOI: 10.3122/jabfm.2021.03.200361.Peer-Reviewed Original ResearchConceptsMedication adherenceAssociated with worse health outcomesCost-coping strategiesHealth status characteristicsPrimary care settingPoor health statusWorse health outcomesUnmet basic needsLow-income adultsCare settingsHealth outcomesChronic conditionsBasic needsHealth statusLow-incomeSocial safety net programsModel oddsMedical expendituresCharacteristics of patientsSafety net programsMedication regimenLogistic regressionStatus characteristicsMedicationAdherence
2020
Urban–Rural Disparities in Access to Low-Dose Computed Tomography Lung Cancer Screening in Missouri and Illinois
Rohatgi K, Marx C, Lewis-Thames M, Liu J, Colditz G, James A. Urban–Rural Disparities in Access to Low-Dose Computed Tomography Lung Cancer Screening in Missouri and Illinois. Preventing Chronic Disease 2020, 17: e140. PMID: 33155970, PMCID: PMC7665516, DOI: 10.5888/pcd17.200202.Peer-Reviewed Original ResearchConceptsLung cancer mortalityLung cancer screeningLow-dose computed tomographyCancer mortalityCancer screeningScreening accessSociodemographic characteristicsLow-dose computed tomography lung cancer screeningHigher lung cancer mortalityLDCT lung cancer screeningLow-dose computed tomography screeningHigher smoking prevalenceUrban-rural disparitiesRural areasReduce geographic disparitiesCensus block groupsLDCT screeningRural disparitiesSmoking prevalenceNonmetropolitan residentsGeographic disparitiesFormer smokersRural residentsLinear regression modelsMultiple linear regression modelA stepped-wedge randomized trial protocol of a community intervention for increasing lung screening through engaging primary care providers (I-STEP)
Salazar A, Sekhon S, Rohatgi K, Nuako A, Liu J, Harriss C, Brennan E, LaBeau D, Abdalla I, Schulze C, Muenks J, Overlot D, Higgins J, Jones L, Swick C, Goings S, Badiu J, Walker J, Colditz G, James A. A stepped-wedge randomized trial protocol of a community intervention for increasing lung screening through engaging primary care providers (I-STEP). Contemporary Clinical Trials 2020, 91: 105991. PMID: 32184197, DOI: 10.1016/j.cct.2020.105991.Peer-Reviewed Original ResearchConceptsPrimary care practicesLung cancer screeningLow-dose computed tomographyCare practicesCancer screeningLung screeningEngaging primary care providersIncrease appropriate referralsPrimary care providersLung cancer mortalityEvidence-based interventionsPre-intervention dataIntervention deliveryLDCT screeningCare providersImplementation outcomesCommunity interventionsCancer mortalityProvider levelScreening pathwayIntervention phaseElements of screeningScreening centersPromote partnershipsMultidisciplinary trials
2017
Relationships between consumption of ultra-processed foods, gestational weight gain and neonatal outcomes in a sample of US pregnant women
Rohatgi K, Tinius R, Cade W, Steele E, Cahill A, Parra D. Relationships between consumption of ultra-processed foods, gestational weight gain and neonatal outcomes in a sample of US pregnant women. PeerJ 2017, 5: e4091. PMID: 29230355, PMCID: PMC5723430, DOI: 10.7717/peerj.4091.Peer-Reviewed Original ResearchUltra-processed foodsGestational weight gainUltra-processed food consumptionHealthy Eating Index-2010HEI-2010Food frequency questionnaireConsumption of ultra-processed foodsEnergy intakeFat intakeObese weight rangeClinical outcomesMaternal gestational weight gainTotal energy intakeTotal fat intakeBody fat measuresWeight gainNeonatal body fatNeonatal body compositionTotal body adiposityAssociated with obesityDiet qualitySubscapular skinfoldsThigh skinfoldDietary indicesFrequency questionnaire
2014
Effect of a PCP on Fruit and Vegetable Consumption: 2011 BRFSS Findings
Rohatgi K, Yang W. Effect of a PCP on Fruit and Vegetable Consumption: 2011 BRFSS Findings. Health Behavior And Policy Review 2014, 1: 404-412. DOI: 10.14485/hbpr.1.5.6.Peer-Reviewed Original ResearchBehavioral Risk Factor Surveillance SystemVegetable consumptionCenters for Disease Control and Prevention's Behavioral Risk Factor Surveillance SystemRisk Factor Surveillance SystemPrimary care visitsCare visitsNational dataLogistic regressionSurveillance systemDemographic variablesExerciseHealthcareLifestylePhysiciansVisitsRegressionFruitYearsCenterConsumption