2022
Where Do Real-Time Prescription Benefit Tools Fit in the Landscape of High US Prescription Medication Costs? A Narrative Review
Wong R, Mehta T, Very B, Luo J, Feterik K, Crotty B, Epstein J, Fliotsos M, Kashyap N, Smith E, Woreta F, Schwartz J. Where Do Real-Time Prescription Benefit Tools Fit in the Landscape of High US Prescription Medication Costs? A Narrative Review. Journal Of General Internal Medicine 2022, 38: 1038-1045. PMID: 36441366, PMCID: PMC10039141, DOI: 10.1007/s11606-022-07945-z.Peer-Reviewed Original ResearchMeSH KeywordsAgedHealth ExpendituresHumansMedicare Part DPrescription DrugsPrescriptionsUnited StatesConceptsMedication costsElectronic clinical decision support toolPocket medication costsPrescription medication costsPoor patient adherenceWorse clinical outcomesClinical decision support toolUS healthcare costsPocket cost informationElectronic health recordsPharmacologic treatmentClinical outcomesPatient adherencePrescription medicationsHealthcare costsPatientsNarrative reviewHealth systemMedicaid ServicesLimited evidenceHealth recordsHealthcare systemFinancial burdenAdherenceMultiple factorsThe first 20 months of the COVID-19 pandemic: Mortality, intubation and ICU rates among 104,590 patients hospitalized at 21 United States health systems
Fiore M, Smith S, Adsit R, Bolt D, Conner K, Bernstein S, Eng O, Lazuk D, Gonzalez A, Jorenby D, D’Angelo H, Kirsch J, Williams B, Nolan M, Hayes-Birchler T, Kent S, Kim H, Piasecki T, Slutske W, Lubanski S, Yu M, Suk Y, Cai Y, Kashyap N, Mathew J, McMahan G, Rolland B, Tindle H, Warren G, An L, Boyd A, Brunzell D, Carrillo V, Chen L, Davis J, Dilip D, Ellerbeck E, Iturrate E, Jose T, Khanna N, King A, Klass E, Newman M, Shoenbill K, Tong E, Tsoh J, Wilson K, Theobald W, Baker T. The first 20 months of the COVID-19 pandemic: Mortality, intubation and ICU rates among 104,590 patients hospitalized at 21 United States health systems. PLOS ONE 2022, 17: e0274571. PMID: 36170336, PMCID: PMC9518859, DOI: 10.1371/journal.pone.0274571.Peer-Reviewed Original ResearchConceptsCOVID-19 patientsICU admission rateUnited States health systemState health systemAdmission ratesPositive COVID-19 PCR testCOVID-19 PCR testHospitalized COVID-19 patientsHealth systemHealth system contactElectronic health record dataICD-10 diagnosisAge 18 yearsCOVID-19 hospitalizationRisk-standardized mortalityHealth record dataHigh mortality rateCOVID-19 pandemicICU admissionHospitalized participantsEndotracheal intubationIntubation rateMean agePatient groupPatient outcomes
2021
Accuracy of the Veterans Health Administration COVID-19 (VACO) Index for predicting short-term mortality among 1307 US academic medical centre inpatients and 427 224 US Medicare patients
King JT, Yoon JS, Bredl ZM, Habboushe JP, Walker GA, Rentsch CT, Tate JP, Kashyap NM, Hintz RC, Chopra AP, Justice AC. Accuracy of the Veterans Health Administration COVID-19 (VACO) Index for predicting short-term mortality among 1307 US academic medical centre inpatients and 427 224 US Medicare patients. Journal Of Epidemiology & Community Health 2021, 76: 254-260. PMID: 34583962, PMCID: PMC8483922, DOI: 10.1136/jech-2021-216697.Peer-Reviewed Original ResearchConceptsVACO IndexShort-term mortalityAcademic medical centerCause mortalityMedicare inpatientMedical CenterSingle US academic medical centerCOVID-19 indexTime of diagnosisUS academic medical centersUS Medicare patientsGreater clinical attentionCOVID-19SARS-CoV-2Nationwide cohortComorbidity diagnosesMedicare cohortInpatient populationUS veteransMedicare patientsHospital dataMedicare dataOutpatient dataClinical attentionInpatients