2024
Implementation and evaluation of an electronic consult program at a large academic health system
Arora A, Fekieta R, Spatz E, Roy B, Marco K, Sharifi M, Pashankar D, Khokhar B. Implementation and evaluation of an electronic consult program at a large academic health system. PLOS ONE 2024, 19: e0310122. PMID: 39264980, PMCID: PMC11392322, DOI: 10.1371/journal.pone.0310122.Peer-Reviewed Original ResearchConceptsAcademic health systemHealth systemEConsult programBenefits of eConsultEffective implementation strategiesPrimary careElectronic consultationSpecialist cliniciansSpecialty cliniciansEngaging leadershipHigh satisfactionImplementation strategiesCapture satisfactionIncrease accessConsultation programProcess outcomesEConsultsQuality assurance mechanismsSurgical specialtiesSpecialtyQuantitative dataMulti-method approachCliniciansSatisfactionProgram
2022
Trends in Utilization of Electronic Consultations Associated With Patient Payer and Language Among US Academic Medical Centers During the COVID-19 Pandemic
Arora A, Fekieta R, Nouri Z, Carder D, Colgan MM, Fuhlbrigge A, Jackson SL, Collins S, Gleason N, Chen J. Trends in Utilization of Electronic Consultations Associated With Patient Payer and Language Among US Academic Medical Centers During the COVID-19 Pandemic. JAMA Network Open 2022, 5: e2224628. PMID: 35904781, PMCID: PMC9338406, DOI: 10.1001/jamanetworkopen.2022.24628.Peer-Reviewed Original ResearchConceptsAcademic medical centerMedical CenterRetrospective cohort studyFace patient visitsAdult patientsCohort studyPrimary outcomeOutpatient visitsSpecialty referralsPatient visitsPayer typePerson careMAIN OUTCOMEAmerican CollegeClinical questionsSpecialist inputPatientsCommercial insuranceElectronic consultationPatient careEConsultationPrimary languageReferralStudy periodCertain clinical questions
2020
Identifying characteristics of high-poverty counties in the United States with high well-being: an observational cross-sectional study
Arora A, Spatz ES, Herrin J, Riley C, Roy B, Rula EY, Kell KP, Krumholz HM. Identifying characteristics of high-poverty counties in the United States with high well-being: an observational cross-sectional study. BMJ Open 2020, 10: e035645. PMID: 32948545, PMCID: PMC7500307, DOI: 10.1136/bmjopen-2019-035645.Peer-Reviewed Original ResearchConceptsObservational cross-sectional studyCross-sectional studyHigh-poverty countiesMean wellRobert Wood Johnson Foundation County Health RankingsLow physical inactivityPrimary care physiciansCounty characteristicsPopulation health modelCounty Health RankingsPreventable hospital staysHospital stayCare physiciansHighest quartilePhysical inactivityHigh percentageMAIN OUTCOMELow prevalenceIndex scoreHeavy drinkersHealth RankingsPopulation-level measuresHealth modelBottom quintileTop quintile
2019
Do pregnant women living in higher well-being populations in the USA experience lower risk of preterm delivery? A cross-sectional study
Riley C, Roy B, Herrin J, Spatz E, Silvestri MT, Arora A, Kell KP, Rula EY, Krumholz HM. Do pregnant women living in higher well-being populations in the USA experience lower risk of preterm delivery? A cross-sectional study. BMJ Open 2019, 9: e024143. PMID: 31048427, PMCID: PMC6501974, DOI: 10.1136/bmjopen-2018-024143.Peer-Reviewed Original ResearchConceptsPreterm birthCross-sectional studyIndividual risk factorsPreterm deliveryRisk factorsPregnant womenLower riskMaternal risk factorsPrimary outcome measurePrimary independent variableGestational ageMaternal riskOutcome measuresUS birthsHealth StatisticsBirth dataBeing IndexWomenBirthGallup-Sharecare WellLower ratesQuintileRiskDeliveryPopulation
2018
Association of the Overall Well-being of a Population With Health Care Spending for People 65 Years of Age or Older
Riley C, Roy B, Herrin J, Spatz ES, Arora A, Kell KP, Rula EY, Krumholz HM. Association of the Overall Well-being of a Population With Health Care Spending for People 65 Years of Age or Older. JAMA Network Open 2018, 1: e182136. PMID: 30646154, PMCID: PMC6324481, DOI: 10.1001/jamanetworkopen.2018.2136.Peer-Reviewed Original ResearchConceptsMedicare FFS beneficiariesPeople 65 yearsHealth care spendingFFS beneficiariesCare spendingPopulation-based cross-sectional studyLower health care spendingHealth care system capacityCross-sectional studyHealth care systemPopulation levelPayment modelsCare payment modelsHighest quintileInverse associationStudy interventionMAIN OUTCOMEMedicare feeMedicare beneficiariesUS national studyOverall healthMedian household incomeBeing IndexCare systemDemographic characteristicsIdentifying county characteristics associated with resident well-being: A population based study
Roy B, Riley C, Herrin J, Spatz ES, Arora A, Kell KP, Welsh J, Rula EY, Krumholz HM. Identifying county characteristics associated with resident well-being: A population based study. PLOS ONE 2018, 13: e0196720. PMID: 29791476, PMCID: PMC5965855, DOI: 10.1371/journal.pone.0196720.Peer-Reviewed Original ResearchConceptsCounty-level factorsClinical careCross-sectional studyQuality of lifeBetter health outcomesMulti-dimensional assessmentHealth outcomesBeing IndexGallup-Sharecare WellUS residentsCareCounty characteristicsSurvey participantsResident wellUS countiesScoresCounty equivalentsAssessmentFactorsCohort
2017
Imaging Redundancy in Screening for Abdominal Aortic Aneurysm
Gao G, Arora A, Scoutt L, Mathur M. Imaging Redundancy in Screening for Abdominal Aortic Aneurysm. Journal Of The American College Of Radiology 2017, 14: 625-628. PMID: 28223113, DOI: 10.1016/j.jacr.2017.01.002.Peer-Reviewed Original ResearchBridging the Response to Mass Shootings and Urban Violence: Exposure to Violence in New Haven, Connecticut.
Santilli A, O'Connor Duffany K, Carroll-Scott A, Thomas J, Greene A, Arora A, Agnoli A, Gan G, Ickovics J. Bridging the Response to Mass Shootings and Urban Violence: Exposure to Violence in New Haven, Connecticut. American Journal Of Public Health 2017, 107: 374-379. PMID: 28103071, PMCID: PMC5296698, DOI: 10.2105/ajph.2016.303613.Peer-Reviewed Original ResearchConceptsPublic health approachGun violence preventionHealth approachChronic disease prevalencePopulation-based sampleSelf-reported exposureLow-income neighborhoodsRace/ethnicityDual epidemicsViolence preventionDisparate increaseNew HavenDisease prevalenceSocietal costsCommunity healthYoung Black menUrban violencePublic healthGun violenceMass shootingsBlack menExposureFamily membersPreventionViolence differs
2016
Population Well-Being Measures Help Explain Geographic Disparities In Life Expectancy At The County Level
Arora A, Spatz E, Herrin J, Riley C, Roy B, Kell K, Coberley C, Rula E, Krumholz HM. Population Well-Being Measures Help Explain Geographic Disparities In Life Expectancy At The County Level. Health Affairs 2016, 35: 2075-2082. PMID: 27834249, PMCID: PMC5150263, DOI: 10.1377/hlthaff.2016.0715.Peer-Reviewed Original Research