2023
Association of SGLT‐2 Inhibitors With Treatment Satisfaction and Diabetes‐Specific and General Health Status in Adults With Cardiovascular Disease and Type 2 Diabetes
Ding Q, Spatz E, Bena J, Morrison S, Levay M, Lin H, Grey M, Edwards N, Isaacs D, West L, Combs P, Albert N. Association of SGLT‐2 Inhibitors With Treatment Satisfaction and Diabetes‐Specific and General Health Status in Adults With Cardiovascular Disease and Type 2 Diabetes. Journal Of The American Heart Association 2023, 12: e029058. PMID: 37655510, PMCID: PMC10547320, DOI: 10.1161/jaha.122.029058.Peer-Reviewed Original ResearchConceptsSodium-glucose cotransporter 2 inhibitorsGeneral health statusCardiovascular disease typesType 2 diabetesTreatment satisfactionDiabetes-specific qualityCardiovascular diseaseHealth statusDisease typeProspective observational study designPatient-reported health statusInverse probabilityNoninsulin antidiabetic medicationsSGLT-2i useSGLT-2i usersTreatment-weighted analysisCotransporter 2 inhibitorsSGLT-2 inhibitorsDiabetes treatment satisfactionObservational study designGreater reductionAntidiabetic medicationsDiabetes medicationsSecondary outcomesSymptom burden
2021
FeV1 and BMI influence King’s Sarcoidosis Questionnaire score in sarcoidosis patients
Frye B, Potasso L, Farin-Glattacker E, Birring S, Müller-Quernheim J, Schupp J. FeV1 and BMI influence King’s Sarcoidosis Questionnaire score in sarcoidosis patients. BMC Pulmonary Medicine 2021, 21: 395. PMID: 34861850, PMCID: PMC8643005, DOI: 10.1186/s12890-021-01761-7.Peer-Reviewed Original ResearchConceptsKing's Sarcoidosis QuestionnaireBody mass indexSarcoidosis patientsQuality of lifeSerological parametersHigher Body Mass IndexGerman Clinical Trials RegisterLife style modificationClinical Trials RegisterEffect of obesitySteroid-sparing therapiesLung functional parametersGeneral health statusOrgan-specific domainsConclusionThis observationKSQ scoresTrials RegisterClinical chartsMethodsClinical dataOrgan manifestationsLung functionMass indexClinical parametersStyle modificationTRIAL REGISTRATION
2019
Perceived Discrimination Based on Criminal Record in Healthcare Settings and Self-Reported Health Status among Formerly Incarcerated Individuals
Redmond N, Aminawung JA, Morse DS, Zaller N, Shavit S, Wang EA. Perceived Discrimination Based on Criminal Record in Healthcare Settings and Self-Reported Health Status among Formerly Incarcerated Individuals. Journal Of Urban Health 2019, 97: 105-111. PMID: 31628588, PMCID: PMC7010870, DOI: 10.1007/s11524-019-00382-0.Peer-Reviewed Original ResearchConceptsSelf-reported general health statusTransitions Clinic NetworkGeneral health statusChronic health conditionsHealth care providersHealth care settingsHealth statusHealth conditionsCare settingsCare providersSelf-reported chronic health conditionsMore chronic medical conditionsPoor healthChronic medical conditionsMental health conditionsSubstance use disordersHistory of incarcerationFuture longitudinal studiesChronic conditionsMedical historyClinic networkHigh prevalenceExcellent healthMedical conditionsHigh riskThirty-Day Readmission Risk Model for Older Adults Hospitalized With Acute Myocardial Infarction
Dodson JA, Hajduk AM, Murphy TE, Geda M, Krumholz HM, Tsang S, Nanna MG, Tinetti ME, Goldstein D, Forman DE, Alexander KP, Gill TM, Chaudhry SI. Thirty-Day Readmission Risk Model for Older Adults Hospitalized With Acute Myocardial Infarction. Circulation Cardiovascular Quality And Outcomes 2019, 12: e005320. PMID: 31010300, PMCID: PMC6481309, DOI: 10.1161/circoutcomes.118.005320.Peer-Reviewed Original ResearchMeSH KeywordsAge FactorsAgedAged, 80 and overFemaleGeriatric AssessmentHealth Status IndicatorsHumansMaleMyocardial InfarctionPatient AdmissionPatient ReadmissionPredictive Value of TestsProspective StudiesReproducibility of ResultsRisk AssessmentRisk FactorsTime FactorsTreatment OutcomeUnited StatesConceptsAcute myocardial infarctionReadmission risk modelFinal risk modelFunctional mobilityFunctional impairmentMyocardial infarctionOlder adultsFirst diastolic blood pressureChronic obstructive pulmonary diseaseAge-related functional impairmentsP2Y12 inhibitor useAcute kidney injuryDaily living (ADL) disabilityPatient-level factorsProspective cohort studyDiastolic blood pressureObstructive pulmonary diseasePatients of ageGeneral health statusStrongest predictorRisk modelMore comorbiditiesCause readmissionKidney injuryCohort studyTranslation and psychometric properties of the King’s Sarcoidosis Questionnaire (KSQ) in German language
Farin E, Heyduck K, Frye BC, Birring SS, Müller-Quernheim J, Schupp JC. Translation and psychometric properties of the King’s Sarcoidosis Questionnaire (KSQ) in German language. Health And Quality Of Life Outcomes 2019, 17: 62. PMID: 30975148, PMCID: PMC6460543, DOI: 10.1186/s12955-019-1131-z.Peer-Reviewed Original ResearchConceptsKing's Sarcoidosis QuestionnaireGood psychometric propertiesGerman Clinical Trials RegisterGerman versionResultsOne hundred ninetyClinical Trials RegisterHealth-related qualityPsychometric propertiesGeneral health statusRasch model fitStructural validityInternal consistencyConstruct validityTrials RegisterConsecutive patientsSarcoidosis patientsOutpatient clinicInterventional studyLife QuestionnaireHealth statusSarcoidosisPatientsMeasurement propertiesCronbach's alphaStructured interviewsPrevalence and covariates of problematic gambling among a US military cohort
Gallaway M, Fink D, Sampson L, Cohen G, Tamburrino M, Liberzon I, Calabrese J, Galea S. Prevalence and covariates of problematic gambling among a US military cohort. Addictive Behaviors 2019, 95: 166-171. PMID: 30928661, PMCID: PMC6574081, DOI: 10.1016/j.addbeh.2019.03.013.Peer-Reviewed Original ResearchConceptsProblematic gamblingGambling behaviorMilitary cohortUS military cohortNational Guard membersAlcohol dependenceSuicidal ideationMinor depressionFrequent gamblingBehavioral outcomesAlcohol useProblem gamblingArmy National Guard membersGamblingVeteran populationGuard membersPerceived general health statusAnalyzed cohort dataDose-response relationshipDepressionNODS-CLiPGeneral health statusBehavioral characteristicsIncreased painSmoking status
2018
Assessment of Disease‐Specific and General Patient‐Reported Outcome Measures of Hearing Health
Mohan S, Corrales C, Yueh B, Shin J. Assessment of Disease‐Specific and General Patient‐Reported Outcome Measures of Hearing Health. Otolaryngology 2018, 158: 702-709. PMID: 29460681, DOI: 10.1177/0194599818757998.Peer-Reviewed Original ResearchConceptsPROMIS scoresTertiary care academic medical centerMental health summary scoresGlobal itemMental healthPhysical healthInner earProspective cohort dataDisease-specific assessmentsGeneral health statusHealth summary scoresComposite scoreItem scoresAcademic medical centerMean scoreChief complaintPROMIS instrumentsDisease-SpecificGeneral patientsHearing lossOutcome measuresMedical CenterMethods AdultsSummary scoresHealth status
2008
Case‐Mix Adjustment of Consumer Reports about Managed Behavioral Health Care and Health Plans
Eselius LL, Cleary PD, Zaslavsky AM, Huskamp HA, Busch SH. Case‐Mix Adjustment of Consumer Reports about Managed Behavioral Health Care and Health Plans. Health Services Research 2008, 43: 2014-2032. PMID: 18783456, PMCID: PMC2613989, DOI: 10.1111/j.1475-6773.2008.00894.x.Peer-Reviewed Original ResearchConceptsCase-mix adjustmentBehavioral health careHealth statusHealth plansPatient reportsSelf-reported general health statusSelf-reported mental health statusAlcohol/drug treatmentGeneral health statusHealth careHealth Outcomes SurveyBehavioral health plansMental health statusCase-mix adjustment modelExperience of careHealth care experiencesRace/ethnicityPatient characteristicsDrug treatmentOutcome SurveyCare experiencesPoor healthPlan rankingsReport scoresGood health
2006
Health Effects of Managed Care Among the Near-Elderly
Xu X, Jensen GA. Health Effects of Managed Care Among the Near-Elderly. Journal Of Aging And Health 2006, 18: 507-533. PMID: 16835387, DOI: 10.1177/0898264306289626.Peer-Reviewed Original ResearchConceptsHealth maintenance organizationChronic health conditionsSelf-reported general health statusHealth statusHealth conditionsGeneral health statusObserved beneficial effectsAdults age 55Care plansNationwide random sampleAge 55Maintenance organizationBeneficial effectsEmployer-sponsored health insuranceOlder adultsNear ElderlyHealth effectsHealth insuranceManaged CareRetirement StudySelection biasRandom sampleCareAdultsProvider organizations
2005
Case‐Mix Adjustment of the CAHPS® Hospital Survey
O'Malley AJ, Zaslavsky AM, Elliott MN, Zaborski L, Cleary PD. Case‐Mix Adjustment of the CAHPS® Hospital Survey. Health Services Research 2005, 40: 2162-2181. PMID: 16316443, PMCID: PMC1361241, DOI: 10.1111/j.1475-6773.2005.00470.x.Peer-Reviewed Original ResearchConceptsGeneral health statusCase-mix adjustmentCirculatory disordersHospital SurveyMedical servicesCase-mix variablesNon-Hispanic blacksPatient characteristicsHospital survey dataPatient ratingsHospital ratingMedical conditionsCirculatory problemsHealth statusHealthcare providersHospitalHospital qualityCAHPS Hospital SurveyHospital servicesConsumer AssessmentSurgeryImpact of adjustmentDisordersAgeScores
2002
Dimensions of Plan Performance for Sick and Healthy Members on the Consumer Assessments of Health Plans Study 2.0 Survey
Zaslavsky AM, Cleary PD. Dimensions of Plan Performance for Sick and Healthy Members on the Consumer Assessments of Health Plans Study 2.0 Survey. Medical Care 2002, 40: 951-964. PMID: 12395028, DOI: 10.1097/00005650-200210000-00012.Peer-Reviewed Original ResearchConceptsHealthy membersReport itemsConsumer AssessmentSmoking cessation adviceGeneral health statusHealth plan qualityMedicare Managed Care Consumer AssessmentHealth Plans SurveyQuality improvement effortsPlan performanceCessation advicePlan careCare beneficiariesHealth statusPatient careSick membersPoor healthMedical servicesPlans SurveyCarePlan qualitySubgroupsPlan scoresReportDoctors
2001
UPBEAT: The Impact of a Psychogeriatric Intervention in VA Medical Centers
Kominski G, Andersen R, Bastani R, Gould R, Hackman C, Huang D, Jarvik L, Maxwell A, Moye J, Olsen E, Rohrbaugh R, Rosansky J, Taylor S, Van Stone W. UPBEAT: The Impact of a Psychogeriatric Intervention in VA Medical Centers. Medical Care 2001, 39: 500-512. PMID: 11317098, DOI: 10.1097/00005650-200105000-00010.Peer-Reviewed Original ResearchMeSH KeywordsAgedAlcoholismAnalysis of VarianceAnxiety DisordersComorbidityContinuity of Patient CareCost-Benefit AnalysisDepressive DisorderFemaleFollow-Up StudiesGeriatric AssessmentGeriatric PsychiatryHealth StatusHospitals, VeteransHumansMaleMass ScreeningMental HealthMental Health ServicesMiddle AgedOutcome Assessment, Health CarePatient Care TeamProgram EvaluationPsychiatric Status Rating ScalesUnited StatesUnited States Department of Veterans AffairsVeteransConceptsCare coordinationGeneral health status scoresHealth Survey Short FormMental healthAmbulatory psychiatric servicesAlcohol Use Disorders Identification Test (AUDIT) scoresHealth status scoresGeneral health statusVA Medical CenterComorbid psychiatric conditionsMental health treatmentNonpsychiatric admissionsUsual careReadmission ratesSurgical treatmentOutpatient costsInpatient costsStatus scoreBed daysComorbid depressionInpatient useOutpatient careElderly veteransInpatient daysMedical Center
2000
Association of patients’ perception of health status and exercise electrocardiogram, myocardial perfusion imaging, and ventricular function measures
Mattera J, de Leon C, Wackers F, Williams C, Wang Y, Krumholz H. Association of patients’ perception of health status and exercise electrocardiogram, myocardial perfusion imaging, and ventricular function measures. American Heart Journal 2000, 140: 409-418. PMID: 10966538, DOI: 10.1067/mhj.2000.108518.Peer-Reviewed Original ResearchConceptsGeneral health perceptionHealth-related qualityPhysical functioningHealth perceptionMyocardial perfusion imagingHealth statusExercise testingPerfusion imagingMedical Outcomes Study Short Form SurveyPatients' health-related qualityShort Form SurveyAssociation of patientGeneral health statusImportant outcome measureSuccess of treatmentConsecutive patientsSF-36Metabolic equivalentsNoninvasive testingExercise testPatient outcomesIndividual patientsOutcome measuresForm SurveyPatient's viewpoint
1994
Do patients' health status reports predict future hospital stays for patients with an acute myocardial infarction?
Nelson E, Ferreira P, Cleary P, Gustafson D, Wasson J. Do patients' health status reports predict future hospital stays for patients with an acute myocardial infarction? Family Practice Research Journal 1994, 14: 119-26. PMID: 8053377.Peer-Reviewed Original ResearchConceptsPatient reportsHealth statusCardiac symptomsAMI patientsMedical historyAcute myocardial infarction patientsAcute myocardial infarctionGeneral health statusSignificant independent predictorsMyocardial infarction patientsPsychosocial health statusPatients' health statusPoor psychosocial functionPoor psychosocial functioningIndependent predictorsPrognostic valueFuture hospitalInfarction patientsMyocardial infarctionHealth care researchCommunity hospitalLongitudinal followPatientsPsychosocial functionYounger age
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