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 ResearchConceptsCenters 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 group
2018
The influence of sociodemographic factors on operative decision-making in small bowel obstruction
Jean RA, Chiu AS, O'Neill KM, Lin Z, Pei KY. The influence of sociodemographic factors on operative decision-making in small bowel obstruction. Journal Of Surgical Research 2018, 227: 137-144. PMID: 29804845, DOI: 10.1016/j.jss.2018.02.029.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overClinical Decision-MakingDigestive System Surgical ProceduresFemaleHealth Care CostsHealthcare DisparitiesHospitalizationHumansInpatientsInsurance CoverageIntestinal ObstructionIntestine, SmallLength of StayMaleMiddle AgedPractice Guidelines as TopicRacial GroupsRetrospective StudiesSocioeconomic FactorsTime-to-TreatmentUnited StatesYoung AdultConceptsSmall bowel obstructionOperative managementOperative delaySociodemographic factorsBowel obstructionHospital factorsInsurance statusMedicare patientsUtilization Project National Inpatient SampleMedicare insurance coverageOverall study populationNational Inpatient SampleHospital mortalityNonoperative therapyNonoperative managementHospital clusteringPrimary outcomeHispanic patientsBlack patientsPrimary diagnosisInpatient SampleCurrent guidelinesSociodemographic disparitiesStudy populationHealthcare costs
2005
A Randomized Outpatient Trial of a Decision-Support Information Technology Tool
Apkon M, Mattera JA, Lin Z, Herrin J, Bradley EH, Carbone M, Holmboe ES, Gross CP, Selter JG, Rich AS, Krumholz HM. A Randomized Outpatient Trial of a Decision-Support Information Technology Tool. JAMA Internal Medicine 2005, 165: 2388-2394. PMID: 16287768, DOI: 10.1001/archinte.165.20.2388.Peer-Reviewed Original ResearchMeSH KeywordsAdultAmbulatory CareAttitude of Health PersonnelCost-Benefit AnalysisDecision Support Systems, ClinicalFemaleFloridaHealth ResourcesHospitals, MilitaryHumansKentuckyMaleMass ScreeningMultivariate AnalysisOutcome and Process Assessment, Health CarePatient SatisfactionPreventive MedicineQuality of Health CareConceptsProvider satisfactionAmbulatory clinic visitsUsual care patientsDays of enrollmentQuality process measuresQuality of careProportion of opportunitiesUsual careClinic visitsOutpatient trialSecondary outcomesPrimary outcomeAcute carePatient satisfactionIntervention groupHealth care opportunitiesPatientsClinical decisionCare opportunitiesPharmacy resourcesPreventive measuresProcess measuresCareMedical resourcesModest improvement