2015
Do Non-Clinical Factors Improve Prediction of Readmission Risk? Results From the Tele-HF Study
Krumholz HM, Chaudhry SI, Spertus JA, Mattera JA, Hodshon B, Herrin J. Do Non-Clinical Factors Improve Prediction of Readmission Risk? Results From the Tele-HF Study. JACC Heart Failure 2015, 4: 12-20. PMID: 26656140, PMCID: PMC5459404, DOI: 10.1016/j.jchf.2015.07.017.Peer-Reviewed Original ResearchConceptsReadmission ratesPatient-reported informationHeart failureHealth statusReadmission riskC-statisticRisk scorePsychosocial variablesMedical record abstractionWeeks of dischargeReadmission risk modelNon-clinical factorsCandidate risk factorsReadmission risk predictionRecord abstractionClinical variablesPatient interviewsMedical recordsRisk factorsPatientsPsychosocial informationPsychosocial characteristicsTelephone interviewsRisk predictionScores
2006
Effectiveness of Diabetes Resource Nurse Case Management and Physician Profiling in a Fee-For-Service Setting: A Cluster Randomized Trial
Herrin J, Nicewander DA, Hollander PA, Couch CE, Winter FD, Haydar ZR, Warren SS, Ballard DJ. Effectiveness of Diabetes Resource Nurse Case Management and Physician Profiling in a Fee-For-Service Setting: A Cluster Randomized Trial. Baylor University Medical Center Proceedings 2006, 19: 95-102. PMID: 16609732, PMCID: PMC1426180, DOI: 10.1080/08998280.2006.11928137.Peer-Reviewed Original ResearchLow-density lipoprotein cholesterol levelsAnnual foot examMedical chart abstractionLipoprotein cholesterol levelsMedical record abstractionPrimary care physiciansNurse case managementAnnual eye examsNumber of patientsMedicare claims dataAnnual hemoglobinFoot examsPrimary endpointChart abstractionQuality improvement strategiesBlood pressureDiabetes mellitusEye examRecord abstractionRenal assessmentCare physiciansClinical outcomesResource nursesCare measuresCholesterol levels