2024
Physician and Practice Characteristics Influencing Telemedicine Uptake Among Frontline Clinicians in the Early COVID-19 Pandemic Response: National Survey Study
Hamline M, Xing G, Kravitz R, Miller M, Melnikow J. Physician and Practice Characteristics Influencing Telemedicine Uptake Among Frontline Clinicians in the Early COVID-19 Pandemic Response: National Survey Study. JMIR Formative Research 2024, 8: e50751. PMID: 39018095, PMCID: PMC11292149, DOI: 10.2196/50751.Peer-Reviewed Original ResearchTelemedicine uptakeTelemedicine useFrontline cliniciansClinician genderCensus regionPhysician-reported usePandemic responseFuture public health emergenciesEmergency medicine physiciansNational stratified sampleWeighted Logistic RegressionEarly pandemic responseCritical care physiciansNational survey studyPrimary careCare physiciansClinician specialtyReduce burnoutFrontline physiciansPublic health emergencyAssociated with higher levelsCOVID-19 pandemic responseCounty-level dataMedicine physiciansLogistic regression
2023
Patient perspectives on telemedicine use in rheumatology during the COVID-19 pandemic: survey results from the COVID-19 Global Rheumatology Alliance
Maheswaranathan M, Miller B, Ung N, Sinha R, Harrison C, Egeli B, Degirmenci H, Sirotich E, Liew J, Grainger R, Chock E. Patient perspectives on telemedicine use in rheumatology during the COVID-19 pandemic: survey results from the COVID-19 Global Rheumatology Alliance. Clinical Rheumatology 2023, 43: 543-552. PMID: 37552351, DOI: 10.1007/s10067-023-06717-2.Peer-Reviewed Original ResearchConceptsRheumatic diseasesPerson visitsTelemedicine useMedication changesCOVID-19 pandemicCare of patientsPerspectives of patientsMethodsAn anonymous online surveyPerspectives of telemedicineDisease activityComplete responseMost patientsPatient's perspectiveTelemedicine effectivenessPatientsAnonymous online surveyFree-text responsesSimilar effectivenessDiseaseVisitsTelemedicine usersRheumatologyYounger participantsTelemedicineClinical tasksThe COVID-19 Pandemic and In-Person Visit Rate Disruptions Among Patients With Hematologic Neoplasms in the US in 2020 to 2021
Goyal G, Lau K, Wang X, Davidoff A, Huntington S, Jamy O, Calip G, Shah H, Stephens D, Miksad R, Parikh R, Takvorian S, Neparidze N, Seymour E. The COVID-19 Pandemic and In-Person Visit Rate Disruptions Among Patients With Hematologic Neoplasms in the US in 2020 to 2021. JAMA Network Open 2023, 6: e2316642. PMID: 37273206, PMCID: PMC10242428, DOI: 10.1001/jamanetworkopen.2023.16642.Peer-Reviewed Original ResearchConceptsEarly pandemic monthsOral therapyOutpatient infusionsChronic lymphocytic leukemiaHematologic neoplasmsVisit ratesTelemedicine useCohort studyPandemic monthsLymphocytic leukemiaRetrospective observational cohort studyData cutoff datePerson medical careSubsequent cancer outcomesHalf of patientsObservational cohort studyMantle cell lymphomaCOVID-19COVID-19 pandemicNon-Hispanic whitesMedian ageActive treatmentCancer outcomesMultiple myelomaActive patientsTelehealth Policy, Practice, and Education: a Position Statement of the Society of General Internal Medicine
Chen A, Ayub M, Mishuris R, Rodriguez J, Gwynn K, Lo M, Noronha C, Henry T, Jones D, Lee W, Varma M, Cuevas E, Onumah C, Gupta R, Goodson J, Lu A, Syed Q, Suen L, Heiman E, Salhi B, Khoong E, Schmidt S. Telehealth Policy, Practice, and Education: a Position Statement of the Society of General Internal Medicine. Journal Of General Internal Medicine 2023, 38: 2613-2620. PMID: 37095331, PMCID: PMC10124932, DOI: 10.1007/s11606-023-08190-8.Peer-Reviewed Original ResearchConceptsGeneral internal medicineInternal medicineClinical practice recommendationsPosition statementClinical practice guidelinesTelemedicine servicesPublic health emergencyChoice of modalityQuintuple AimsUnsafe carePatient satisfactionPractice guidelinesMillions of AmericansTelemedicine useClinical practiceHealth outcomesPatient encountersTelehealth servicesHealth systemPractice recommendationsLong-term studiesTelehealth policyHealth emergencyCOVID-19 pandemicClinical vignettes
2022
The impact of COVID-19 on the treatment of opioid use disorder in carceral facilities: a cross-sectional study
Saunders E, Satcher M, Monico L, McDonald R, Springer S, Farabee D, Gryczynski J, Nyaku A, Reeves D, Kunkel L, Schultheis A, Schwartz R, Lee J, Marsch L, Waddell E. The impact of COVID-19 on the treatment of opioid use disorder in carceral facilities: a cross-sectional study. Health & Justice 2022, 10: 35. PMID: 36529829, PMCID: PMC9760540, DOI: 10.1186/s40352-022-00199-1.Peer-Reviewed Original ResearchOpioid use disorderCommunity treatment programsTelemedicine useUse disordersOUD treatmentCross-sectional web-based surveyCross-sectional studyHealthcare deliveryCOVID-19COVID-19 pandemicTelemedicine servicesDelivery of treatmentSevere COVIDOpioid treatmentCOVID-19 transmissionSystem involvementReferral practicesAdult studiesNew admissionsWeb-based surveyTreatment programDrug abuseNumber of personsService deliveryTelemedicine practiceClinical and Sociodemographic Factors Associated with Telemedicine Engagement in an Urban Community Health Center Cohort During the COVID-19 Pandemic
Molina F, Soulos P, Brockman A, Oldfield B. Clinical and Sociodemographic Factors Associated with Telemedicine Engagement in an Urban Community Health Center Cohort During the COVID-19 Pandemic. Telemedicine Journal And E-Health 2022, 29: 875-885. PMID: 36355045, PMCID: PMC10277987, DOI: 10.1089/tmj.2022.0389.Peer-Reviewed Original ResearchConceptsHealth care utilizationCommunity health centersSafety-net populationTelemedicine useWhite patientsTelemedicine visitsCare utilizationHealth centersSociodemographic factorsMultisite community health centerPrior health care utilizationMultivariable logistic regression modelHigh patient engagementRetrospective cohort studySubstance use disordersLogistic regression modelsCohort studyLatinx patientsOlder patientsCenter cohortClinical factorsOutpatient visitsEquity-focused approachTelemedicine strategiesChronic conditionsThe Uptake of Telemedicine in Obstetric Care During the Early Acute Phase of the Coronavirus 2019 Pandemic
McKenney KM, Lundsberg LS, Burris HH, Ledyard RF, Son M, Greenspan J, Handley SC, Dysart K, Culhane J. The Uptake of Telemedicine in Obstetric Care During the Early Acute Phase of the Coronavirus 2019 Pandemic. Telemedicine Journal And E-Health 2022, 29: 617-620. PMID: 36067146, DOI: 10.1089/tmj.2022.0291.Peer-Reviewed Original ResearchConceptsEarly acute phasePrenatal careTelemedicine useAcute phaseObstetric careElectronic medical record dataPrenatal care provisionCoronavirus disease 2019 (COVID-19) pandemicMedical record dataDisease 2019 pandemicCoronavirus 2019 (COVID-19) pandemicUptake of telemedicineHealth care deliveryObstetric telemedicineTotal visitsCare deliveryEarly pandemicCare provisionRecord dataCareDelivery modeSignificant differencesTelemedicine usersTelemedicineEarly timingImpact of Telehealth on the Current and Future Practice of Lipidology: A Scoping Review
Desai N, Marrs J, McNeal C, Mintz G, Romagnoli K, Karalis D, Jones L. Impact of Telehealth on the Current and Future Practice of Lipidology: A Scoping Review. Journal Of Clinical Lipidology 2022, 16: e36. DOI: 10.1016/j.jacl.2022.05.008.Peer-Reviewed Original ResearchLipid managementFull-text screeningTelemedicine visitsTelehealth servicesImpact of telehealthLack of reimbursementPre-post evaluationMobile health technologyLack of evidencePatient satisfactionChronic conditionsCurrent cliniciansClinical trialsLipid levelsClinician's perspectiveTelemedicine impactClinical careTelemedicine useOffice appointmentsHealth outcomesObjective/purposePubMed databaseText screeningAbstract screeningHealth systemPractical guidance for telemedicine use in neuro-oncology
Strowd R, Dunbar E, Gan H, Kurz S, Jordan J, Mandel J, Mohile N, Nevel K, Taylor J, Ullrich N, Welch M, Wasilewski A, Mrugala M. Practical guidance for telemedicine use in neuro-oncology. Neuro-Oncology Practice 2022, 9: 91-104. PMID: 35371525, PMCID: PMC8965064, DOI: 10.1093/nop/npac002.Peer-Reviewed Original Research
2021
Rapid Adoption of Telemedicine in Rheumatology Care During the COVID‐19 Pandemic Highlights Training and Supervision Concerns Among Rheumatology Trainees
Yeoh S, Young K, Putman M, Sattui S, Conway R, Graef E, Kilian A, Konig M, Sparks J, Ugarte‐Gil M, Upton L, Berenbaum F, Bhana S, Costello W, Hausmann J, Machado P, Robinson P, Sirotich E, Sufka P, Yazdany J, Liew J, Grainger R, Wallace Z, Jayatilleke A, Alliance T. Rapid Adoption of Telemedicine in Rheumatology Care During the COVID‐19 Pandemic Highlights Training and Supervision Concerns Among Rheumatology Trainees. ACR Open Rheumatology 2021, 4: 128-133. PMID: 34791821, PMCID: PMC8652624, DOI: 10.1002/acr2.11355.Peer-Reviewed Original ResearchTelemedicine in the era of coronavirus 19: Implications for postoperative care in cardiac surgery
Sallam A, Shang M, Vallabhajosyula I, Mori M, Chinian R, Assi R, Bonde P, Geirsson A, Vallabhajosyula P. Telemedicine in the era of coronavirus 19: Implications for postoperative care in cardiac surgery. Journal Of Cardiac Surgery 2021, 36: 3731-3737. PMID: 34338360, PMCID: PMC8446997, DOI: 10.1111/jocs.15875.Peer-Reviewed Original ResearchConceptsCardiac surgery patientsPostoperative appointmentsCardiac surgeryPostoperative careSurgery patientsOpen cardiac surgeryPatient satisfaction surveySatisfaction surveyCoronavirus-19 pandemicPostoperative patientsTelehealth visitsTelemedicine appointmentsProvider satisfactionTelemedicine usePatientsTelemedicine modalitiesCoronavirus-19SurgeryCareAppointmentsTelemedicineSurgeonsHome ordersSurvey administrationStay
2017
Characterizing New England Emergency Departments by Telemedicine Use
Zachrison K, Hayden E, Schwamm L, Espinola J, Sullivan A, Boggs K, Raja A, Camargo C. Characterizing New England Emergency Departments by Telemedicine Use. Western Journal Of Emergency Medicine 2017, 18: 1055-1060. PMID: 29085537, PMCID: PMC5654874, DOI: 10.5811/westjem.2017.8.34880.Peer-Reviewed Original ResearchConceptsNew England Emergency DepartmentsRural emergency departmentsEmergency departmentTelemedicine useED characteristicsLow-volume emergency departmentsMultivariable logistic regressionConsultant availabilityIndependent predictorsMultivariable analysisPatient careLogistic regressionPlastic surgeryClinical applicationDescriptive statisticsTelemedicineEngland surveyPrimary objectiveAnnual volumeDepartmentNew England statesPsychiatrySurgeryPediatricsStroke
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