2021
Evaluation of Internet-Based Crowdsourced Fundraising to Cover Health Care Costs in the United States
Angraal S, Zachariah AG, Raaisa R, Khera R, Rao P, Krumholz HM, Spertus JA. Evaluation of Internet-Based Crowdsourced Fundraising to Cover Health Care Costs in the United States. JAMA Network Open 2021, 4: e2033157. PMID: 33427882, PMCID: PMC7801937, DOI: 10.1001/jamanetworkopen.2020.33157.Commentaries, Editorials and Letters
2014
Predictors of clinical trial data sharing: exploratory analysis of a cross-sectional survey
Rathi VK, Strait KM, Gross CP, Hrynaszkiewicz I, Joffe S, Krumholz HM, Dzara K, Ross JS. Predictors of clinical trial data sharing: exploratory analysis of a cross-sectional survey. Trials 2014, 15: 384. PMID: 25277128, PMCID: PMC4192345, DOI: 10.1186/1745-6215-15-384.Peer-Reviewed Original ResearchMeSH KeywordsAccess to InformationAgedAttitude of Health PersonnelChi-Square DistributionClinical Trials as TopicCooperative BehaviorCross-Sectional StudiesDatabases, FactualFemaleHealth Knowledge, Attitudes, PracticeHumansInformation DisseminationInternetMaleMiddle AgedPerceptionRegistriesResearch PersonnelSurveys and QuestionnairesConceptsTrial funding sourceExact testMain outcome measuresFisher's exact testCross-sectional surveyChi-square testClinical trialsTrial characteristicsOutcome measuresGeneral medical journalsClinical trialistsWeb-based surveyTrialistsExploratory analysisBackgroundA numberStatistical significanceSignificant differencesExternal investigatorsClinical trial data sharingTrialsMedical journalsPharmaceutical companiesFunding sourcesIndustry fundingPotential respondents
2013
Quality collaboratives and campaigns to reduce readmissions: What strategies are hospitals using?
Bradley EH, Sipsma H, Curry L, Mehrotra D, Horwitz LI, Krumholz H. Quality collaboratives and campaigns to reduce readmissions: What strategies are hospitals using? Journal Of Hospital Medicine 2013, 8: 601-608. PMID: 24038927, PMCID: PMC4029612, DOI: 10.1002/jhm.2076.Peer-Reviewed Original ResearchMeSH KeywordsContinuity of Patient CareCooperative BehaviorCross-Sectional StudiesHealth Care SurveysHealth Plan ImplementationHumansInformation DisseminationInternetLogistic ModelsMedication ReconciliationMultivariate AnalysisPatient DischargePatient ReadmissionQuality Assurance, Health CareQuality Indicators, Health CareUnited StatesConceptsQuality collaborativesCardiac rehabilitation servicesMultivariable logistic regressionSkilled nursing facilitiesHospital readmissionMedication reconciliationTreating physicianPatient dischargePatient referralOutpatient physiciansMultivariable modelNursing facilitiesStandard frequency analysisHospitalRehabilitation servicesWeb-based surveyReadmissionLogistic regressionQuality InitiativeHospital strategiesPhysiciansCurrent useCollaborativesPatientsSTAAR
2012
Hospital strategies for reducing risk-standardized mortality rates in acute myocardial infarction.
Bradley EH, Curry LA, Spatz ES, Herrin J, Cherlin EJ, Curtis JP, Thompson JW, Ting HH, Wang Y, Krumholz HM. Hospital strategies for reducing risk-standardized mortality rates in acute myocardial infarction. Annals Of Internal Medicine 2012, 156: 618-26. PMID: 22547471, PMCID: PMC3386642, DOI: 10.7326/0003-4819-156-9-201205010-00003.Peer-Reviewed Original ResearchConceptsRisk-standardized mortality ratesAcute myocardial infarctionLower risk-standardized mortality ratesMyocardial infarctionNurse championsMortality rateHospital strategiesHospital risk-standardized mortality ratesHospital-level factorsIntensive care unitAcute care hospitalsCardiac catheterization laboratoryCross-sectional surveyUnited Health FoundationCare hospitalCare unitCross-sectional designAMI casesAMI volumeCatheterization laboratoryHospital cliniciansHospitalMultivariate analysisPatientsHealth Foundation
2009
Trial Publication after Registration in ClinicalTrials.Gov: A Cross-Sectional Analysis
Ross JS, Mulvey GK, Hines EM, Nissen SE, Krumholz HM. Trial Publication after Registration in ClinicalTrials.Gov: A Cross-Sectional Analysis. PLOS Medicine 2009, 6: e1000144. PMID: 19901971, PMCID: PMC2728480, DOI: 10.1371/journal.pmed.1000144.Peer-Reviewed Original ResearchConceptsOptional data elementsClinical trialsTrial publicationsInternet-based registryCompleteness of registrationCross-sectional analysisSelective publicationPrimary outcomeUS National LibraryReporting TrialsPublication statusTrial resultsPhase ITrialsData elementsSignificant differencesEditors' SummaryEnd dateSystematic protocolClinicalTrials
2008
How Are Our Hospitals Measuring Up?
Johnson MA, Normand SL, Krumholz HM. How Are Our Hospitals Measuring Up? Circulation 2008, 118: e498-e500. PMID: 18725493, DOI: 10.1161/circulationaha.108.804872.Peer-Reviewed Original Research
2002
Evaluation of a Consumer-Oriented Internet Health Care Report Card: The Risk of Quality Ratings Based on Mortality Data
Krumholz HM, Rathore SS, Chen J, Wang Y, Radford MJ. Evaluation of a Consumer-Oriented Internet Health Care Report Card: The Risk of Quality Ratings Based on Mortality Data. JAMA 2002, 287: 1277-1287. PMID: 11886319, DOI: 10.1001/jama.287.10.1277.Peer-Reviewed Original ResearchConceptsProcess of careMortality rateHospital ratingEnzyme inhibitorsUS acute care hospitalsSystematic medical record reviewIndividual hospitalsStudy periodAcute myocardial infarction mortalityAcute reperfusion therapyReperfusion therapy ratesMedical record reviewService beneficiaries 65 yearsCooperative Cardiovascular ProjectBeneficiaries 65 yearsAcute care hospitalsMyocardial infarction mortalityHealth care report cardsQuality of careCare report cardsHospital performanceReperfusion therapyTherapy ratesCare hospitalRecord review