Jacqueline Grady, MS
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Associate Director, QM, Center for Outcomes Research & Evaluation (CORE)
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Associate Director, QM, Center for Outcomes Research & Evaluation (CORE)Biography
Jacqueline Grady is an Associate Director of Data Management and Analytics and the Information Security Officer for CORE. Ms. Grady has 35-plus years of experience analyzing healthcare data. Her work at CORE supports the quality management division in the development of new measures and the reevaluation of publicly reported outcome measures. She also provided analysis for the evaluation of quality improvement projects for the Connecticut Quality Improvement Organization, as well as for the evaluation of the effectiveness of disease management programs for two national health plans. She received her Master's degree in Statistics from the University of Connecticut.
Education & Training
- MS
- University of Connecticut, Statistics
- BS
- University of Connecticut, Biological Sciences
Research
Research at a Glance
Yale Co-Authors
Frequent collaborators of Jacqueline Grady's published research.
Publications Timeline
A big-picture view of Jacqueline Grady's research output by year.
Harlan Krumholz, MD, SM
Jeph Herrin, PhD
Joseph Ross, MD, MHS
Elizabeth Triche
Shu-Xia Li, PhD
Huihui Yu, PhD
27Publications
1,003Citations
Publications
2024
Pre-COVID-19 hospital quality and hospital response to COVID-19: examining associations between risk-adjusted mortality for patients hospitalised with COVID-19 and pre-COVID-19 hospital quality
Peter D, Li S, Wang Y, Zhang J, Grady J, McDowell K, Norton E, Lin Z, Bernheim S, Venkatesh A, Fleisher L, Schreiber M, Suter L, Triche E. Pre-COVID-19 hospital quality and hospital response to COVID-19: examining associations between risk-adjusted mortality for patients hospitalised with COVID-19 and pre-COVID-19 hospital quality. BMJ Open 2024, 14: e077394. PMID: 38553067, PMCID: PMC10982775, DOI: 10.1136/bmjopen-2023-077394.Peer-Reviewed Original ResearchAltmetricMeSH Keywords and ConceptsConceptsHospital qualityPatient experiencePre-COVID-19Medicare patientsShort-term acute care hospitalsCritical access hospitalsAcute care hospitalsFuture public health emergenciesHigher odds of mortalityIn-hospitalRisk-adjusted mortalityOdds of mortalityCare deliveryAccess hospitalsEffective careCOVID-19-related deathsAssociated with mortalityCare structuresHospital characteristicsPublic health emergencySummary scoreMedicare beneficiariesHigher oddsHospital responseRSMRs
2021
Incorporating Present-on-Admission Indicators in Medicare Claims to Inform Hospital Quality Measure Risk Adjustment Models
Triche EW, Xin X, Stackland S, Purvis D, Harris A, Yu H, Grady JN, Li SX, Bernheim SM, Krumholz HM, Poyer J, Dorsey K. Incorporating Present-on-Admission Indicators in Medicare Claims to Inform Hospital Quality Measure Risk Adjustment Models. JAMA Network Open 2021, 4: e218512. PMID: 33978722, PMCID: PMC8116982, DOI: 10.1001/jamanetworkopen.2021.8512.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsPOA indicatorRisk factorsOutcome measuresQuality outcome measuresRisk-adjustment modelsClaims dataAdmission indicatorsPatient risk factorsAcute myocardial infarctionPatient-level outcomesAdministrative claims dataQuality improvement studyClaims-based measuresComparative effectiveness studiesPatient claims dataInternational Statistical ClassificationMortality outcome measuresRelated Health ProblemsHospital quality measuresRisk model performanceHospital stayIndex admissionCare algorithmHeart failureMortality outcomesApparent Increase in Chronic Obstructive Pulmonary Disease Mortality Is Likely an Artifact of Changes in Documentation and Coding
Lindenauer PK, Yu H, Grady J, Dorsey K, Triche EW. Apparent Increase in Chronic Obstructive Pulmonary Disease Mortality Is Likely an Artifact of Changes in Documentation and Coding. American Journal Of Respiratory And Critical Care Medicine 2021, 203: 647-649. PMID: 33166177, PMCID: PMC7924577, DOI: 10.1164/rccm.202009-3697le.Peer-Reviewed Original ResearchCitationsAltmetricAdministrative Claims Measure for Profiling Hospital Performance Based on 90-Day All-Cause Mortality Following Coronary Artery Bypass Graft Surgery
Mori M, Nasir K, Bao H, Jimenez A, Legore SS, Wang Y, Grady J, Lama SD, Brandi N, Lin Z, Kurlansky P, Geirsson A, Bernheim SM, Krumholz HM, Suter LG. Administrative Claims Measure for Profiling Hospital Performance Based on 90-Day All-Cause Mortality Following Coronary Artery Bypass Graft Surgery. Circulation Cardiovascular Quality And Outcomes 2021, 14: e006644. PMID: 33535776, DOI: 10.1161/circoutcomes.120.006644.Peer-Reviewed Original ResearchCitationsMeSH Keywords and ConceptsConceptsRisk-standardized mortality ratesCoronary artery bypass graft surgeryArtery bypass graft surgeryBypass graft surgeryMortality rateGraft surgeryC-statisticMedicaid ServicesAdministrative Claims MeasureCause mortality ratesMortality measuresUnadjusted mortality ratesProfiling Hospital PerformanceHierarchical logistic regression modelsAlternate payment modelsHospital performanceLogistic regression modelsCABG recoveryPayment modelsCABG surgeryCause mortalityCABG proceduresDays postsurgeryHospital levelSurgery
2020
Quality Measure Public Reporting Is Associated with Improved Outcomes Following Hip and Knee Replacement.
Bozic K, Yu H, Zywiel MG, Li L, Lin Z, Simoes JL, Dorsey Sheares K, Grady J, Bernheim SM, Suter LG. Quality Measure Public Reporting Is Associated with Improved Outcomes Following Hip and Knee Replacement. Journal Of Bone And Joint Surgery 2020, 102: 1799-1806. PMID: 33086347, DOI: 10.2106/jbjs.19.00964.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsRisk-standardized readmission ratesTotal hip arthroplastyReadmission ratesPublic reportingFiscal year 2010Hospital-level outcomesPrognostic Level IIIHospital-level ratesFiscal year 2016Hospital-level performanceHospital coding practicesHospital-level risk-standardized readmission ratesTKA patientsComplication rateClinical outcomesReadmission modelsImproved outcomesHip arthroplastyKnee replacementMedicare beneficiariesLevel IIIComplicationsReplacement proceduresInterquartile rangeOutcomesImpact of left ventricular assist devices and heart transplants on acute myocardial infarction and heart failure mortality and readmission measures
Brandt EJ, Ross JS, Grady JN, Ahmad T, Pawar S, Bernheim SM, Desai NR. Impact of left ventricular assist devices and heart transplants on acute myocardial infarction and heart failure mortality and readmission measures. PLOS ONE 2020, 15: e0230734. PMID: 32214363, PMCID: PMC7098556, DOI: 10.1371/journal.pone.0230734.Peer-Reviewed Original ResearchCitationsMeSH Keywords and ConceptsConceptsLeft ventricular assist deviceHeart transplantation patientsRisk-standardized mortalityHeart transplantationTransplantation patientsAMI cohortReadmission cohortHF cohortVentricular assist deviceAMI mortalityAssist deviceHeart failure mortalityAcute myocardial infarctionHF mortalityLVAD indicationHF patientsLVAD patientsReadmission ratesHeart transplantMyocardial infarctionPrimary diagnosisReadmission measuresMedicare feeChronic supportPatients
2019
Development and Testing of Improved Models to Predict Payment Using Centers for Medicare & Medicaid Services Claims Data
Krumholz HM, Warner F, Coppi A, Triche EW, Li SX, Mahajan S, Li Y, Bernheim SM, Grady J, Dorsey K, Desai NR, Lin Z, Normand ST. Development and Testing of Improved Models to Predict Payment Using Centers for Medicare & Medicaid Services Claims Data. JAMA Network Open 2019, 2: e198406. PMID: 31411709, PMCID: PMC6694388, DOI: 10.1001/jamanetworkopen.2019.8406.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsAcute myocardial infarctionHeart failurePopulation-based programsPOA codesSingle diagnostic codeDiagnostic codesComparative effectiveness research studyPublic reportingIndex admission diagnosisDays of hospitalizationClinical Modification codesService claims dataAcute care hospitalsMultiple care settingsPatient-level modelsAdmission diagnosisTotal hospitalizationsCare hospitalPrevious diagnosisNinth RevisionMyocardial infarctionCandidate variablesCare settingsClaims dataMAIN OUTCOMEComparative Effectiveness of New Approaches to Improve Mortality Risk Models From Medicare Claims Data
Krumholz HM, Coppi AC, Warner F, Triche EW, Li SX, Mahajan S, Li Y, Bernheim SM, Grady J, Dorsey K, Lin Z, Normand ST. Comparative Effectiveness of New Approaches to Improve Mortality Risk Models From Medicare Claims Data. JAMA Network Open 2019, 2: e197314. PMID: 31314120, PMCID: PMC6647547, DOI: 10.1001/jamanetworkopen.2019.7314.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsAcute myocardial infarctionICD-9-CM codesMortality risk modelHeart failureHospital admissionC-statisticMAIN OUTCOMEMortality rateRisk-standardized mortality ratesHospital risk-standardized mortality ratesIndex admission diagnosisPatients 65 yearsDays of hospitalizationComparative effectiveness studiesClaims-based dataHospital-level performance measuresMedicare claims dataPatient-level modelsCMS modelRisk-adjustment modelsRisk modelHospital performance measuresAdmission diagnosisNinth RevisionMyocardial infarctionTrends in Hospital Readmission of Medicare-Covered Patients With Heart Failure
Blecker S, Herrin J, Li L, Yu H, Grady JN, Horwitz LI. Trends in Hospital Readmission of Medicare-Covered Patients With Heart Failure. Journal Of The American College Of Cardiology 2019, 73: 1004-1012. PMID: 30846093, PMCID: PMC7011858, DOI: 10.1016/j.jacc.2018.12.040.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsHospital Readmissions Reduction ProgramSecondary heart failureReadmission ratesHeart failureReadmissions Reduction ProgramHF hospitalizationAffordable Care ActMedicare's Hospital Readmissions Reduction ProgramRisk-adjusted readmission ratesCause readmission rateHigher readmission ratesAcute myocardial infarctionCare ActReduction programsLinear spline regression modelsPneumonia hospitalizationsHospital readmissionMedicare hospitalizationsRetrospective studySecondary diagnosisMyocardial infarctionPrincipal diagnosisHospitalizationSpline regression modelsPatients
2018
Hospital Characteristics Associated With Postdischarge Hospital Readmission, Observation, and Emergency Department Utilization
Horwitz LI, Wang Y, Altaf FK, Wang C, Lin Z, Liu S, Grady J, Bernheim SM, Desai NR, Venkatesh AK, Herrin J. Hospital Characteristics Associated With Postdischarge Hospital Readmission, Observation, and Emergency Department Utilization. Medical Care 2018, 56: 281-289. PMID: 29462075, PMCID: PMC6170884, DOI: 10.1097/mlr.0000000000000882.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsMeSH KeywordsCross-Sectional StudiesEmergency Service, HospitalFee-for-Service PlansHeart FailureHospital AdministrationHospitals, PublicHumansMedicareMyocardial InfarctionNursing Staff, HospitalOwnershipPatient ReadmissionPneumoniaResidence CharacteristicsRetrospective StudiesSafety-net ProvidersUnited StatesConceptsAcute care utilizationAcute myocardial infarctionHeart failureCare utilizationAcute careMyocardial infarctionHospital characteristicsNet hospitalExcess daysPublic hospitalsNonsafety net hospitalsHigher readmission ratesEmergency department utilizationProportion of hospitalsAcute care hospitalsSafety-net hospitalService Medicare beneficiariesLarge urban hospitalMajor teaching hospitalType of hospitalCross-sectional analysisPostdischarge utilizationHospital dischargeHospital factorsReadmission rates