2024
Cost-Related Prescription Drug Rationing by Adults With Obesity
Chen A, Borden C, Canavan M, Ross J, Oladele C, Lipska K. Cost-Related Prescription Drug Rationing by Adults With Obesity. JAMA Network Open 2024, 7: e2433000. PMID: 39499520, PMCID: PMC11539006, DOI: 10.1001/jamanetworkopen.2024.33000.Peer-Reviewed Original ResearchRisk of Infection in Older Adults With Type 2 Diabetes With Relaxed Glycemic Control.
Lipska K, Gilliam L, Lee C, Liu J, Liu V, Moffet H, Parker M, Zapata H, Karter A. Risk of Infection in Older Adults With Type 2 Diabetes With Relaxed Glycemic Control. Diabetes Care 2024, 47: 2258-2265. PMID: 39436715, DOI: 10.2337/dc24-1612.Peer-Reviewed Original ResearchRisk of hospitalizationIncreased risk of hospitalizationType 2 diabetesRelative riskIntegrated health care delivery systemGlycemic controlHealth care delivery systemCare delivery systemOlder patientsBone infectionIncreased riskRelative risk of hospitalizationEstimated incidence rateGlycemic control levelsRates of hospitalizationRetrospective cohort studySoft tissueCategories of infectionOlder adultsUnadjusted riskClinical guidelinesRisk of infectionIncidence rateCohort studyNegative binomial modelAssociation of Race and Ethnicity with Prescriptions for Continuous Glucose Monitoring Systems Among a National Sample of Veterans with Diabetes on Insulin Therapy
Lipska K, Oladele C, Zawack K, Gulanski B, Mutalik P, Reaven P, Lynch J, Lee K, Shih M, Lee J, Aslan M. Association of Race and Ethnicity with Prescriptions for Continuous Glucose Monitoring Systems Among a National Sample of Veterans with Diabetes on Insulin Therapy. Diabetes Technology & Therapeutics 2024 PMID: 39177775, DOI: 10.1089/dia.2024.0152.Peer-Reviewed Original ResearchVeterans with diabetesAssociation of raceCross-sectional analysis of dataU.S. Veterans Health AdministrationNational sample of veteransNational sampleInsulin therapyVeterans Health AdministrationSystem-level factorsSample of veteransNon-Hispanic patientsSelf-reported raceContinuous glucose monitoringCross-sectional analysisContinuous glucose monitoring useRate of prescriptionMultivariate mixed-effects modelAfrican American patientsLatino patientsHealth AdministrationAlaska NativesType 2 diabetesPercentage of patientsSignificant disparitiesMixed-effects models692-P: Work or Wellness? Examining Challenges of Low Wage Workers with Type 2 Diabetes
SCHLESINGER P, ASANTE P, LIPSKA K, KEENE D. 692-P: Work or Wellness? Examining Challenges of Low Wage Workers with Type 2 Diabetes. Diabetes 2024, 73 DOI: 10.2337/db24-692-p.Peer-Reviewed Original ResearchSocial determinants of healthDeterminants of healthDiabetes self-managementDiabetes outcomesDiabetes managementSelf-managementImpact of social determinants of healthAverage age of participantsExperiences of diabetes managementAge of participantsImprovement support systemDigestive and Kidney DiseasesMitigate disparitiesNational Institute of DiabetesInductive codingType 2 diabetesInterview participantsQualitative interviewsLow wage workersAfrican AmericansParticipantsAverage ageWorkplace conditionsInterviewsWork schedulesFood Insecurity and Hypoglycemia among Older Patients with Type 2 Diabetes Treated with Insulin or Sulfonylureas: The Diabetes & Aging Study
Karter A, Parker M, Huang E, Seligman H, Moffet H, Ralston J, Liu J, Gilliam L, Laiteerapong N, Grant R, Lipska K. Food Insecurity and Hypoglycemia among Older Patients with Type 2 Diabetes Treated with Insulin or Sulfonylureas: The Diabetes & Aging Study. Journal Of General Internal Medicine 2024, 39: 2400-2406. PMID: 38767746, PMCID: PMC11436613, DOI: 10.1007/s11606-024-08801-y.Peer-Reviewed Original ResearchType 2 diabetes treated with insulinOlder patientsSevere hypoglycemiaFood insecurityAssociated with severe hypoglycemiaCharlson comorbidity scoreFood insecurity questionsCross-sectional studyComorbidity scoreSelf-reported reasonsMissed mealsHigh riskRisk factorsPatientsHypoglycemiaResultsFood insecurityFinancial strainDiabetesPrevention effortsAging StudySulfonylureaMedicationInsulinAgeRiskLessons From Insulin: Policy Prescriptions for Affordable Diabetes and Obesity Medications.
Nagel K, Ramachandran R, Lipska K. Lessons From Insulin: Policy Prescriptions for Affordable Diabetes and Obesity Medications. Diabetes Care 2024, 47: 1246-1256. PMID: 38536964, PMCID: PMC11272967, DOI: 10.2337/dci23-0042.Peer-Reviewed Original ResearchOut-of-pocket paymentsInflation ratePrice hikesPolicy prescriptionsPriceReduced priceHealth insuranceMarket entryPolicy evaluationDrug pricesGovernment negotiatorsBiosimilar competitionPharmacy benefit managersAnticompetitive practicesInflationFederal interventionIncreased enforcementPolicyInsulin pricesPublication productivityReduction ActFederal levelDrug manufacturersBenefit managersCompetitionWillingness to take less medication for type 2 diabetes among older patients: The Diabetes & Aging Study
Haider S, Parker M, Huang E, Grant R, Moffet H, Laiteerapong N, Jain R, Liu J, Lipska K, Karter A. Willingness to take less medication for type 2 diabetes among older patients: The Diabetes & Aging Study. Journal Of The American Geriatrics Society 2024, 72: 1985-1994. PMID: 38471959, PMCID: PMC11226366, DOI: 10.1111/jgs.18870.Peer-Reviewed Original ResearchAmerican Diabetes AssociationKaiser Permanente Northern California Diabetes RegistryOlder patientsDuration of diabetesPatient-clinician relationshipDe-intensify treatmentHealth status categoriesProportion of willingnessProportion of participantsGlucose-lowering medicationsDiabetes RegistrySurvey responses to questionsResponses to questionsOlder adultsHealth statusType 2 diabetesClinical guidelinesDiabetes medicationsStatus categoriesDiabetes AssociationOlder individualsAging StudyTreatment de-intensificationRandom sampleSurvey responsesAssociation Between Rental Assistance Programs and Undiagnosed Diabetes Among U.S
Gonzalez-Lopez C, Fenelon A, Lipska K, Denary W, Schlesinger P, Esserman D, Keene D. Association Between Rental Assistance Programs and Undiagnosed Diabetes Among U.S. Journal Of General Internal Medicine 2024, 39: 1625-1631. PMID: 38351417, PMCID: PMC11255160, DOI: 10.1007/s11606-024-08673-2.Peer-Reviewed Original ResearchOdds of undiagnosed diabetesRental assistance programsRental assistanceUndiagnosed diabetesAssistance programsHousing programsNational Health and Nutrition Examination SurveyHealth and Nutrition Examination SurveyRates of undiagnosed diabetesAssociated with lower oddsNutrition Examination SurveyAssociated with decreased oddsAssisted housingLogistic regression modelsHousing qualityHealthcare accessPoverty ratioExamination SurveyDiabetes screeningQuasi-experimental approachLower oddsHealth dataAssisted groupAssisted participantsEducation levelFeasibility and Acceptability of an Agenda-Setting Kit in the Care of People With Type 2 Diabetes: The QBSAFE ASK Feasibility Study
Haider S, Gonzalez-Lopez C, Clark J, Gravholt D, Breslin M, Boehmer K, Hartasanchez S, Sanchez B, Montori V, Lipska K. Feasibility and Acceptability of an Agenda-Setting Kit in the Care of People With Type 2 Diabetes: The QBSAFE ASK Feasibility Study. Clinical Diabetes 2024, 42: 358-363. PMID: 39015172, PMCID: PMC11247036, DOI: 10.2337/cd23-0062.Peer-Reviewed Original Research
2023
Glycemic control and diabetes complications across health status categories in older adults treated with insulin or insulin secretagogues: The Diabetes & Aging Study
Lipska K, Huang E, Liu J, Parker M, Laiteerapong N, Grant R, Moffet H, Karter A. Glycemic control and diabetes complications across health status categories in older adults treated with insulin or insulin secretagogues: The Diabetes & Aging Study. Journal Of The American Geriatrics Society 2023, 71: 3692-3700. PMID: 37638777, PMCID: PMC10872822, DOI: 10.1111/jgs.18565.Peer-Reviewed Original ResearchConceptsRisk of complicationsComplication riskPoor healthIntermediate healthOlder adultsGood healthRetrospective cohort studyEndocrine Society guidelinesIntegrated healthcare delivery systemType 2 diabetesProportional hazards modelHealth status categoriesHealthcare delivery systemMacrovascular eventsCohort studyGlycemic controlPrimary outcomeSevere hypoglycemiaSociety guidelinesClinical variablesInsulin secretagoguesHazards modelComplicationsCombined outcomeAging StudyThe Growing Role of Technology in the Care of Older Adults With Diabetes.
Huang E, Sinclair A, Conlin P, Cukierman-Yaffe T, Hirsch I, Huisingh-Scheetz M, Kahkoska A, Laffel L, Lee A, Lee S, Lipska K, Meneilly G, Pandya N, Peek M, Peters A, Pratley R, Sherifali D, Toschi E, Umpierrez G, Weinstock R, Munshi M. The Growing Role of Technology in the Care of Older Adults With Diabetes. Diabetes Care 2023, 46: 1455-1463. PMID: 37471606, PMCID: PMC10369127, DOI: 10.2337/dci23-0021.Peer-Reviewed Original ResearchConceptsOlder adultsAreas of careHealth care servicesDiabetes careContinuous glucose monitorEvidence-based technologiesDiabetes managementCare prioritiesClinical experienceClinical heterogeneityCare servicesDiabetesInsulin pumpCareScientific evidenceAdultsGlucose monitorDistinct subpopulationsCurrent knowledgeMajor barrierImportant populationPotential promiseCaregiversSevere hypoglycemia and falls in older adults with diabetes: The Diabetes & Aging Study
Moffet H, Huang E, Liu J, Parker M, Lipska K, Laiteerapong N, Grant R, Lee A, Karter A. Severe hypoglycemia and falls in older adults with diabetes: The Diabetes & Aging Study. Diabetes Epidemiology And Management 2023, 12: 100162. PMID: 37920602, PMCID: PMC10621321, DOI: 10.1016/j.deman.2023.100162.Peer-Reviewed Original ResearchSevere hypoglycemiaOlder adultsRisk of fallsCare-seeking behaviorLife-threatening eventsED visitsInpatient recordsPrevalence ratiosHypoglycemiaGreater prevalenceAge 65Clinical documentationDiabetesSample adultsAging StudyAdultsSurvey respondentsFallHospitalizationOutpatientsResearch designPrevalenceVisitsMonthsSeverity1217-P: Willingness to Deintensify in Patients with Type 2 Diabetes—The Diabetes and Aging Study
HAIDER S, PARKER M, HUANG E, GRANT R, MOFFET H, LAITEERAPONG N, LIU J, LIPSKA K, KARTER A. 1217-P: Willingness to Deintensify in Patients with Type 2 Diabetes—The Diabetes and Aging Study. Diabetes 2023, 72 DOI: 10.2337/db23-1217-p.Peer-Reviewed Original ResearchType 2 diabetesOlder patientsKaiser Permanente Northern CaliforniaDe-intensify treatmentDuration of diabetesGlucose-lowering medicationsNumber of medicationsProportion of patientsClinical guideline recommendationsHealth status factorsPoor health statusCross-sectional analysisInsulin useComplex regimensLess medicationGuideline recommendationsPatients' willingnessAbbVie Inc.Side effectsDiabetesPatient experiencePatientsHealth statusHypoglycemia historyMedications1356-P: Association of HbA1c with Diabetes Outcomes across Health Status Categories in Older Adults
LIPSKA K, HUANG E, LIU J, PARKER M, MOFFET H, GRANT R, LAITEERAPONG N, KARTER A. 1356-P: Association of HbA1c with Diabetes Outcomes across Health Status Categories in Older Adults. Diabetes 2023, 72 DOI: 10.2337/db23-1356-p.Peer-Reviewed Original ResearchComplication riskPoor healthIntermediate healthOlder adultsGood healthIntegrated healthcare delivery systemAssociation of HbA1cType 2 diabetesProportional hazards modelNational InstituteHealth status categoriesHealthcare delivery systemEligible patientsMacrovascular eventsSevere hypoglycemiaKidney diseaseClinical variablesDiabetes outcomesEndocrine SocietyAbbVie Inc.Hazards modelComplicationsHealth statusTwin healthPatients719-P: Feasibility and Acceptability of the Quality of Life, Burden of Treatment, Safety, and Avoidance of Future Events Agenda Setting Kit (QBSAFE ASK)
HAIDER S, GONZALEZ LOPEZ C, CLARK J, GRAVHOLT D, BRESLIN M, BOEHMER K, HARTASANCHEZ S, SANCHEZ B, MONTORI V, LIPSKA K. 719-P: Feasibility and Acceptability of the Quality of Life, Burden of Treatment, Safety, and Avoidance of Future Events Agenda Setting Kit (QBSAFE ASK). Diabetes 2023, 72 DOI: 10.2337/db23-719-p.Peer-Reviewed Original ResearchSingle-arm intervention studyStudy proceduresRoutine clinic visitsBurden of treatmentDiabetes-related topicsQuality of lifeClinic visitsMost patientsDiabetes carePatient goalsClinical careClinician responsesPatientsParticipant enrollmentIntervention studiesCliniciansAcceptability surveyCommon beingNational InstituteConversation CardsCareTreatmentEnrollmentAcceptabilityDiabetesDevelopment and Validation of the Life Expectancy Estimator for Older Adults with Diabetes (LEAD): the Diabetes and Aging Study
Karter A, Parker M, Moffet H, Lipska K, Laiteerapong N, Grant R, Lee C, Huang E. Development and Validation of the Life Expectancy Estimator for Older Adults with Diabetes (LEAD): the Diabetes and Aging Study. Journal Of General Internal Medicine 2023, 38: 2860-2869. PMID: 37254010, PMCID: PMC10228886, DOI: 10.1007/s11606-023-08219-y.Peer-Reviewed Original ResearchOlder adultsLife expectancyKaiser Permanente Northern CaliforniaRisk score toolLimited life expectancyClinical trial inclusionMortality prediction modelElectronic health recordsOlder patientsPatient characteristicsRetrospective cohortTrial inclusionAdvanced careCancer screeningClinical trialsTreatment goalsDiabetesSurvival analysisSurvival curvesLife expectancy modelCohortVital signsAging StudyHealth recordsKey ResultsInData‐driven classification of health status of older adults with diabetes: The diabetes and aging study
Huang E, Liu J, Lipska K, Grant R, Laiteerapong N, Moffet H, Schumm L, Karter A. Data‐driven classification of health status of older adults with diabetes: The diabetes and aging study. Journal Of The American Geriatrics Society 2023, 71: 2120-2130. PMID: 36883732, PMCID: PMC10363208, DOI: 10.1111/jgs.18310.Peer-Reviewed Original ResearchConceptsOlder adultsBaseline comorbiditiesCardiovascular eventsHigh prevalenceClass 3Integrated healthcare delivery systemRisk of complicationsType 2 diabetesClass 1Population health managementRace-adjusted ratesClass 2Healthcare delivery systemIncident complicationsCause mortalityMicrovascular eventsCohort studyComplication ratePrevalent comorbiditiesComorbid conditionsFuture complicationsHypoglycemic eventsDiabetes careCardiovascular conditionsLow prevalenceAdjustment for Social Risk Factors in a Measure of Clinician Quality Assessing Acute Admissions for Patients With Multiple Chronic Conditions
Lipska K, Altaf F, Barthel A, Spatz E, Lin Z, Herrin J, Bernheim S, Drye E. Adjustment for Social Risk Factors in a Measure of Clinician Quality Assessing Acute Admissions for Patients With Multiple Chronic Conditions. JAMA Health Forum 2023, 4: e230081. PMID: 36897581, DOI: 10.1001/jamahealthforum.2023.0081.Peer-Reviewed Original ResearchConceptsMultiple chronic conditionsSocial risk factorsMedicare-Medicaid dual eligibilityRisk factorsChronic conditionsSocioeconomic status indexMeasure scoresAcute admissionsCohort studyDual eligibilityHealthcare ResearchDual-eligible patientsRetrospective cohort studyUnplanned hospital admissionsRisk of hospitalizationArea Health Resource FileService beneficiaries 65 yearsBeneficiaries 65 yearsRisk factor adjustmentStatus indexMedicare administrative claimsHospital admissionOutcome measuresAdministrative claimsMAIN OUTCOMEValidation of a Hypoglycemia Risk Stratification Tool Using Data From Continuous Glucose Monitors
Karter A, Parker M, Moffet H, Lipska K, Ralston J, Huang E, Gilliam L. Validation of a Hypoglycemia Risk Stratification Tool Using Data From Continuous Glucose Monitors. JAMA Network Open 2023, 6: e236315. PMID: 37000454, PMCID: PMC10066459, DOI: 10.1001/jamanetworkopen.2023.6315.Peer-Reviewed Original ResearchRental assistance improves food security and nutrition: An analysis of National Survey Data
Denary W, Fenelon A, Whittaker S, Esserman D, Lipska K, Keene D. Rental assistance improves food security and nutrition: An analysis of National Survey Data. Preventive Medicine 2023, 169: 107453. PMID: 36813247, PMCID: PMC10037672, DOI: 10.1016/j.ypmed.2023.107453.Peer-Reviewed Original ResearchConceptsRental assistanceNational quasi-experimental studyFood securityHousing affordability crisisComparable control groupDaily fruitMore cupsProject‐based assistanceEligible individualsVegetable consumptionCurrent unmetControl groupQuasi-experimental studyNational survey dataAffordability crisisHousing accessLong waitlistsAdverse health implicationsHealth implicationsFood insecurityWaitlistAverage wait timeWait timeHealth necessitySurvey data