2024
Calculation of Overall Hospital Quality Star Ratings With and Without Inclusion of the Peer Grouping Step
Gettel C, Bagshaw K, Qin L, Lin Z, Rothenberg E, Omotosho P, Goutos D, Herrin J, Suter L, Schreiber M, Fleisher L, Myers R, Spivack S, Venkatesh A. Calculation of Overall Hospital Quality Star Ratings With and Without Inclusion of the Peer Grouping Step. JAMA Network Open 2024, 7: e2411933. PMID: 38753326, PMCID: PMC11099678, DOI: 10.1001/jamanetworkopen.2024.11933.Peer-Reviewed Original ResearchMeSH KeywordsCenters for Medicare and Medicaid Services, U.S.Cross-Sectional StudiesHospitalsHumansQuality Indicators, Health CareQuality of Health CareUnited StatesConceptsCenters for Medicare & Medicaid ServicesCross-sectional studyHospital characteristicsHigher star ratingsStar ratingsOverall hospital qualityLowest-performing hospitalsOverall star ratingQuality star ratingsHospital star ratingsStar Ratings scoresHospital qualityHospital performanceStratified hospitalsMedicaid ServicesMain OutcomesFace validityPeer groupPeer group approachPrimary outcomePeer comparisonHospitalRating scoresPeerMeasurement groupMeasuring Equity in Readmission as a Distinct Assessment of Hospital Performance
Nash K, Weerahandi H, Yu H, Venkatesh A, Holaday L, Herrin J, Lin Z, Horwitz L, Ross J, Bernheim S. Measuring Equity in Readmission as a Distinct Assessment of Hospital Performance. JAMA 2024, 331: 111-123. PMID: 38193960, PMCID: PMC10777266, DOI: 10.1001/jama.2023.24874.Peer-Reviewed Original ResearchConceptsBlack patientsPatient populationHospital characteristicsHospital-wide readmission measureDual-eligible patientsHospital patient populationCross-sectional studyMeasures of hospitalHealth care qualityPatient demographicsReadmission ratesClinical outcomesPatient raceEligible hospitalsReadmissionMAIN OUTCOMEReadmission measuresMedicare dataUS hospitalsHospitalCare qualityPatientsMedicaid ServicesOutcomesLower percentage
2022
Identifying high-value care for Medicare beneficiaries: a cross-sectional study of acute care hospitals in the USA
Herrin J, Yu H, Venkatesh AK, Desai SM, Thiel CL, Lin Z, Bernheim SM, Horwitz LI. Identifying high-value care for Medicare beneficiaries: a cross-sectional study of acute care hospitals in the USA. BMJ Open 2022, 12: e053629. PMID: 35361641, PMCID: PMC8971780, DOI: 10.1136/bmjopen-2021-053629.Peer-Reviewed Original ResearchMeSH KeywordsAgedCross-Sectional StudiesHospital CostsHospitalsHumansMedicareQuality of Health CareUnited StatesConceptsAcute care hospitalsHigh-value careStar hospitalsCare hospitalMedicare spendingEligible Medicare patientsRetrospective observational studyCross-sectional studyNon-teaching statusHigh-quality careHigh-quality hospitalsLow-cost hospitalsHigh-cost hospitalsCharacteristics of hospitalsValue of careSecondary outcomesPrimary outcomeMedicare patientsObservational studyMedicare beneficiariesHospitalQuality careOverall star ratingHospital Value
2021
Criterion-Based Measurements of Patient Experience in Health Care
Mayer T, Venkatesh A, Berwick DM. Criterion-Based Measurements of Patient Experience in Health Care. JAMA 2021, 326: 2471-2472. PMID: 34854868, DOI: 10.1001/jama.2021.21771.Peer-Reviewed Original ResearchThe 2018 Merit-based Incentive Payment System
Gettel CJ, Han CR, Canavan ME, Bernheim SM, Drye EE, Duseja R, Venkatesh AK. The 2018 Merit-based Incentive Payment System. Medical Care 2021, 60: 156-163. PMID: 35030565, PMCID: PMC8820355, DOI: 10.1097/mlr.0000000000001674.Peer-Reviewed Original ResearchBalancing quality and utilization: Emergency physician level correlation between 72 h returns, admission, and CT utilization rates
Parwani V, Thomas M, Rothenberg C, Ulrich A, Venkatesh A. Balancing quality and utilization: Emergency physician level correlation between 72 h returns, admission, and CT utilization rates. The American Journal Of Emergency Medicine 2021, 48: 365-366. PMID: 33597095, DOI: 10.1016/j.ajem.2021.01.078.Peer-Reviewed Original Research
2020
Assessing the readiness of digital data infrastructure for opioid use disorder research
Venkatesh A, Malicki C, Hawk K, D’Onofrio G, Kinsman J, Taylor A. Assessing the readiness of digital data infrastructure for opioid use disorder research. Addiction Science & Clinical Practice 2020, 15: 24. PMID: 32650817, PMCID: PMC7350566, DOI: 10.1186/s13722-020-00198-3.Peer-Reviewed Original ResearchMeSH KeywordsData CollectionElectronic Health RecordsHealth Services ResearchHumansOpioid-Related DisordersQuality of Health Care
2012
Evaluation of Pulmonary Embolism in the Emergency Department and Consistency With a National Quality Measure: Quantifying the Opportunity for Improvement
Venkatesh AK, Kline JA, Courtney DM, Camargo CA, Plewa MC, Nordenholz KE, Moore CL, Richman PB, Smithline HA, Beam DM, Kabrhel C. Evaluation of Pulmonary Embolism in the Emergency Department and Consistency With a National Quality Measure: Quantifying the Opportunity for Improvement. JAMA Internal Medicine 2012, 172: 1028-1032. PMID: 22664742, PMCID: PMC3775003, DOI: 10.1001/archinternmed.2012.1804.Peer-Reviewed Original ResearchMeSH KeywordsAdultAge FactorsAgedDiagnosis, DifferentialEmergency Service, HospitalFemaleFibrin Fibrinogen Degradation ProductsHumansLogistic ModelsMaleMiddle AgedMultivariate AnalysisOdds RatioProspective StudiesPulmonary EmbolismQuality ImprovementQuality of Health CareRadiation InjuriesRadiographyRisk AssessmentSensitivity and SpecificityUnited StatesUnnecessary ProceduresConceptsNegative D-dimer test resultD-dimer test resultPulmonary embolismLow pretest probabilityD-dimer testEmergency departmentNational Quality ForumED patientsPretest probabilitySecondary analysisNQF measureMulticenter observational studyLow-risk patientsPatient-level predictorsUS emergency departmentsD-dimer testingMultivariable logistic regressionNational quality measuresInappropriate imagingAdult patientsPrimary outcomeMalignant diseaseObservational studyPatientsUnnecessary irradiation