Faseeha Altaf, MPH, BS
DownloadHi-Res Photo
Cards
Titles
Division Lead, Research and Development, CORE; Senior Health Outcomes Researcher I, Center for Outcomes Research & Evaluation (CORE)
About
Titles
Staff Affiliate - YNHH
Division Lead, Research and Development, CORE; Senior Health Outcomes Researcher I, Center for Outcomes Research & Evaluation (CORE)Biography
Faseeha Altaf is involved with measure development and research for the Quality Measurement Group and the American College of Cardiology Analytic Center at CORE. Previously, Ms. Altaf led research in clinical pathology, coordinated clinics for migrant farm workers, and managed global health nonprofit development. Her recent experience includes assessing the need for new models of healthcare service delivery in occupational health and emergency medicine, and drafting domestic violence protocols in emergency departments. She received her MPH degree from Dartmouth.
Education & Training
- MPH
- Health Policy and Clinical Practice, Dartmouth College
Research
Research at a Glance
Yale Co-Authors
Frequent collaborators of Faseeha Altaf's published research.
Publications Timeline
A big-picture view of Faseeha Altaf's research output by year.
Harlan Krumholz, MD, SM
Joseph Ross, MD, MHS
Erica Spatz, MD, MHS
Jacqueline Grady, MS
Jeph Herrin, PhD
Kumar Dharmarajan, MD, MBA
9Publications
95Citations
Publications
2018
Admission diagnoses among patients with heart failure: Variation by ACO performance on a measure of risk-standardized acute admission rates
Benchetrit L, Zimmerman C, Bao H, Dharmarajan K, Altaf F, Herrin J, Lin Z, Krumholz HM, Drye EE, Lipska KJ, Spatz ES. Admission diagnoses among patients with heart failure: Variation by ACO performance on a measure of risk-standardized acute admission rates. American Heart Journal 2018, 207: 19-26. PMID: 30404047, DOI: 10.1016/j.ahj.2018.09.006.Peer-Reviewed Original ResearchAltmetricMeSH Keywords and ConceptsMeSH KeywordsAccountable Care OrganizationsAgedAlgorithmsAnalysis of VarianceCardiovascular DiseasesComorbidityFemaleHeart FailureHospitalizationHumansInternational Classification of DiseasesMaleMedicare Part AMedicare Part BPatient AdmissionPatient DischargePatient-Centered CareSex DistributionTime FactorsUnited StatesConceptsHeart failureAccountable care organizationsMean admission rateAdmission ratesAdmission typeAcute admission ratesNoncardiovascular conditionsAdmission diagnosisCause admission ratesMedicare Shared Savings Program Accountable Care OrganizationsRate of hospitalizationPrincipal discharge diagnosisProportion of admissionsType of admissionNoncardiovascular causesHF admissionsHF patientsPerson yearsDischarge diagnosisPatient populationPatientsAdmissionKey quality metricDiagnosisSubstantial proportionHospital 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 ratesAssociation Between Postdischarge Emergency Department Visitation and Readmission Rates
Venkatesh AK, Wang C, Wang Y, Altaf F, Bernheim SM, Horwitz L. Association Between Postdischarge Emergency Department Visitation and Readmission Rates. Journal Of Hospital Medicine 2018, 13: 589-594. PMID: 29538471, DOI: 10.12788/jhm.2937.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsAcute myocardial infarctionED visit ratesHospital-level variationReadmission ratesHeart failureED visitsHospital dischargeED visitationVisit ratesMedicare beneficiariesMedicare Standard Analytic FilesPostdischarge ED visitsDays of hospitalizationEmergency department visitsHospital readmission ratesLower readmission ratesStandard Analytic FilesEmergency department (ED) visitationSignificant inverse correlationCross-sectional analysisDepartment visitsMyocardial infarctionAnalytic FilesED servicesPneumoniaDefining Multiple Chronic Conditions for Quality Measurement
Drye EE, Altaf FK, Lipska KJ, Spatz ES, Montague JA, Bao H, Parzynski CS, Ross JS, Bernheim SM, Krumholz HM, Lin Z. Defining Multiple Chronic Conditions for Quality Measurement. Medical Care 2018, 56: 193-201. PMID: 29271820, DOI: 10.1097/mlr.0000000000000853.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsMultiple chronic conditionsChronic conditionsMedicare feeService beneficiariesMedicare Chronic Conditions WarehouseMCC cohortBroad cohortChronic Conditions WarehouseRisk-standardized ratesNational quality measuresUnplanned admissionsFinal cohortTotal admissionsAdmission riskAccountable care organizationsAdmission ratesOutcome measuresAdmissionCohortCohort conditionCare organizationsPatientsStakeholder inputNarrow cohortBeneficiaries
2016
Hospital Use of Observation Stays
Venkatesh AK, Wang C, Ross JS, Altaf FK, Suter LG, Vellanky S, Grady JN, Bernheim SM. Hospital Use of Observation Stays. Medical Care 2016, 54: 1070-1077. PMID: 27579906, PMCID: PMC5850934, DOI: 10.1097/mlr.0000000000000601.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsRisk-standardized readmission ratesAcute myocardial infarctionObservation staysHeart failureReadmission measuresHospital useHospital risk-standardized readmission ratesCross-sectional analysisModest inverse correlationPostdischarge periodReadmission ratesHospital observationMyocardial infarctionMedicare feeStayPneumoniaService beneficiariesMeasures of qualityMedicaid ServicesHospitalInverse correlationModest correlationReadmissionPublic reportingFailureDeclining Admission Rates And Thirty-Day Readmission Rates Positively Associated Even Though Patients Grew Sicker Over Time
Dharmarajan K, Qin L, Lin Z, Horwitz LI, Ross JS, Drye EE, Keshawarz A, Altaf F, Normand SL, Krumholz HM, Bernheim SM. Declining Admission Rates And Thirty-Day Readmission Rates Positively Associated Even Though Patients Grew Sicker Over Time. Health Affairs 2016, 35: 1294-1302. PMID: 27385247, DOI: 10.1377/hlthaff.2015.1614.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsMeSH KeywordsAgedAged, 80 and overCenters for Medicare and Medicaid Services, U.S.Chronic DiseaseDatabases, FactualDisease ProgressionFemaleGeriatric AssessmentHospital MortalityHumansIncidenceLength of StayMaleOutcome Assessment, Health CarePatient AdmissionPatient ReadmissionRetrospective StudiesRisk AssessmentSeverity of Illness IndexTime FactorsUnited StatesRisk-standardized Acute Admission Rates Among Patients With Diabetes and Heart Failure as a Measure of Quality of Accountable Care Organizations
Spatz ES, Lipska KJ, Dai Y, Bao H, Lin Z, Parzynski CS, Altaf FK, Joyce EK, Montague JA, Ross JS, Bernheim SM, Krumholz HM, Drye EE. Risk-standardized Acute Admission Rates Among Patients With Diabetes and Heart Failure as a Measure of Quality of Accountable Care Organizations. Medical Care 2016, 54: 528-537. PMID: 26918404, PMCID: PMC5356461, DOI: 10.1097/mlr.0000000000000518.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsHeart failure measuresAccountable care organizationsAcute admission ratesHeart failureAdmission ratesNational ratesUnplanned hospital admissionsHeart failure cohortRisk-adjustment variablesPopulation-based measuresCare organizationsOutcome measure developmentIntraclass correlation coefficientHospital admissionDiabetes measuresFailure cohortChronic conditionsMedicare feeDiabetesService beneficiariesPatientsMeet criteriaMeasures of qualitySocioeconomic statusPerformance categories
2015
VARIATIONS IN USE OF REMOTE MONITORING OF IMPLANTABLE DEFIBRILLATORS RELATIVE TO THE INTRODUCTION OF BILLING CODES SPECIFIC TO REMOTE MONITORING
Altaf F, Akar J, Lichtman J, Bao H, Jones P, Varosy P, Masoudi F, Stein K, Saxon L, Curtis J. VARIATIONS IN USE OF REMOTE MONITORING OF IMPLANTABLE DEFIBRILLATORS RELATIVE TO THE INTRODUCTION OF BILLING CODES SPECIFIC TO REMOTE MONITORING. Journal Of The American College Of Cardiology 2015, 65: a459. DOI: 10.1016/s0735-1097(15)60459-4.Peer-Reviewed Original Research
2011
MicroRNA Biomarkers in Melanoma
Kozubek J, Altaf F, Dadras S. MicroRNA Biomarkers in Melanoma. Current Clinical Pathology 2011, 113-126. DOI: 10.1007/978-1-60761-433-3_9.Peer-Reviewed Original ResearchCitationsConceptsGenome-wide association studiesSingle base changeComplex traitsSingle nucleotide polymorphismsSystems biologyAssociation studiesBase changesCell scienceNucleotide polymorphismsRare mutationsCancer cellsCommon setGenomeCellsFunctional alterationsIncognitaBiologyTraitsProteinMutationsMicroRNA biomarkersPolymorphismDogma