2024
Non-pharmacological Interventions for Muscle Cramps and Pain in Patients With Cirrhosis: A Systematic Review
Muller R, Dranoff J, Grimshaw A, Bastian L, Gunderson C. Non-pharmacological Interventions for Muscle Cramps and Pain in Patients With Cirrhosis: A Systematic Review. Cureus 2024, 16: e64859. PMID: 39156429, PMCID: PMC11330311, DOI: 10.7759/cureus.64859.Peer-Reviewed Original Research
2023
Time to Diagnosis and Treatment of Non-small Cell Lung Cancer in Patients Undergoing Lung Cancer Screening
Bernstein E, DeRycke E, Han L, Bastian L, Bade B, Lerz K, Kravetz J, Carino M, Rose M, Akgun K, Cain H. Time to Diagnosis and Treatment of Non-small Cell Lung Cancer in Patients Undergoing Lung Cancer Screening. 2023, a2734-a2734. DOI: 10.1164/ajrccm-conference.2023.207.1_meetingabstracts.a2734.Peer-Reviewed Original Research
2021
I smoke to cope with pain: patients’ perspectives on the link between cigarette smoking and pain
Lee M, Snow J, Quon C, Selander K, DeRycke E, Lawless M, Driscoll M, Ditre JW, Mattocks KM, Becker WC, Bastian LA. I smoke to cope with pain: patients’ perspectives on the link between cigarette smoking and pain. Wiener Klinische Wochenschrift 2021, 133: 1012-1019. PMID: 34460005, DOI: 10.1007/s00508-021-01931-x.Peer-Reviewed Original ResearchConceptsChronic painCigarette smokingMean pain intensity scorePain intensity scoresGreater pain intensitySmoking cessation trialPain-related distressYears of ageSelf-management strategiesBackgroundFor peopleConclusionMany patientsPain reliefPain intensityRetrospective thematic analysisCessation trialMedian numberPatient's perspectivePainKey ResultsParticipantsSmokingSmoking behaviorIntensity scoresSmoking studiesGreater painPatientsICD-10 Coding of Musculoskeletal Conditions in the Veterans Health Administration
Coleman BC, Goulet JL, Higgins DM, Bathulapalli H, Kawecki T, Ruser CB, Bastian LA, Martino S, Piette JD, Edmond SN, Heapy AA. ICD-10 Coding of Musculoskeletal Conditions in the Veterans Health Administration. Pain Medicine 2021, 22: 2597-2603. PMID: 33944953, PMCID: PMC8783617, DOI: 10.1093/pm/pnab161.Peer-Reviewed Original ResearchConceptsSpecialty care settingsVeterans Health AdministrationCare settingsDiagnosis codesMusculoskeletal diagnosesMusculoskeletal conditionsHealth AdministrationVeterans Health Administration (VHA) careLow back painLongitudinal cohort studyICD-10 codingVisit diagnosesCohort studyDiagnosis cohortBack painCommon diagnosisUnique patientsNumber of visitsInternational ClassificationMusculoskeletal carePotential diagnosisSecondary analysisPatientsDiagnosisMusculoskeletal systemWhen Is a Harm a Harm? Discordance between Patient and Medical Experts’ Evaluation of Lung Cancer Screening Attributes
Schapira MM, Rodriguez KL, Chhatre S, Fraenkel L, Bastian LA, Kravetz JD, Asan O, Akers S, Vachani A, Prigge JM, Meline J, Ibarra JV, Corn B, Kaminstein D. When Is a Harm a Harm? Discordance between Patient and Medical Experts’ Evaluation of Lung Cancer Screening Attributes. Medical Decision Making 2021, 41: 317-328. PMID: 33554740, DOI: 10.1177/0272989x20987221.Peer-Reviewed Original ResearchConceptsLung cancer screeningIncidental findingHarms of LCSVeterans Affairs Medical CenterRadiation exposureLung cancer deathsSignificant incidental findingsRoutine annual screeningProportion of participantsCross-sectional studyNon-Hispanic whitesPotential harmSDM discussionsAnnual screeningCancer deathCancer screeningPrimary careMortality reductionMedical CenterInvasive proceduresPatientsIndirect costsMost participantsScreening attributesOvertreatment
2020
The Association Between Hospital End-of-Life Care Quality and the Care Received Among Patients With Heart Failure
Feder SL, Tate J, Ersek M, Krishnan S, Chaudhry SI, Bastian LA, Rolnick J, Kutney-Lee A, Akgün KM. The Association Between Hospital End-of-Life Care Quality and the Care Received Among Patients With Heart Failure. Journal Of Pain And Symptom Management 2020, 61: 713-722.e1. PMID: 32931904, PMCID: PMC7952458, DOI: 10.1016/j.jpainsymman.2020.09.006.Peer-Reviewed Original ResearchConceptsHeart failure patientsPalliative care consultationVeterans Health AdministrationLife care qualityFailure patientsHeart failureCare consultationsHighest quintileVA hospitalsIntensive care unit deathCare qualityIntensive care unitHealth care systemCare unitInpatient hospiceMean ageLowest quintileHospital endRetrospective analysisHOSPITAL scorePatientsHealth AdministrationCare processesHospitalLogistic regressionPrevalence of harmful diagnostic errors in hospitalised adults: a systematic review and meta-analysis
Gunderson CG, Bilan VP, Holleck JL, Nickerson P, Cherry BM, Chui P, Bastian LA, Grimshaw AA, Rodwin BA. Prevalence of harmful diagnostic errors in hospitalised adults: a systematic review and meta-analysis. BMJ Quality & Safety 2020, 29: 1008-1018. PMID: 32269070, DOI: 10.1136/bmjqs-2019-010822.Peer-Reviewed Original ResearchConceptsAdverse eventsDiagnostic errorsPhysician reviewSystematic reviewInpatient adverse eventsRisk of biasPatient safety hazardsSystem-related factorsSystematic literature searchWeb of SciencePulmonary embolismAdult patientsCase seriesCommon diagnosisPooled rateAdult admissionsCochrane LibraryDatabase inceptionDiagnostic error rateStudy characteristicsLiterature searchPatientsCommon diseaseDiagnosisCommon beingNational trends in palliative care use among older adults with cardiopulmonary and malignant conditions
Feder SL, Jean RA, Bastian L, Akgün KM. National trends in palliative care use among older adults with cardiopulmonary and malignant conditions. Heart & Lung 2020, 49: 370-376. PMID: 32115242, PMCID: PMC7305962, DOI: 10.1016/j.hrtlng.2020.02.004.Peer-Reviewed Original ResearchEnd-of-Life Care Quality Varies Among Facilities in the Department of Veterans Affairs for Patients with Heart Failure (S732)
Feder S, Ersek M, Kutney-Lee A, Luhrs C, Bastian L, Akgun K. End-of-Life Care Quality Varies Among Facilities in the Department of Veterans Affairs for Patients with Heart Failure (S732). Journal Of Pain And Symptom Management 2020, 59: 546-547. DOI: 10.1016/j.jpainsymman.2019.12.294.Peer-Reviewed Original ResearchRate of Preventable Mortality in Hospitalized Patients: a Systematic Review and Meta-analysis
Rodwin BA, Bilan VP, Merchant NB, Steffens CG, Grimshaw AA, Bastian LA, Gunderson CG. Rate of Preventable Mortality in Hospitalized Patients: a Systematic Review and Meta-analysis. Journal Of General Internal Medicine 2020, 35: 2099-2106. PMID: 31965525, PMCID: PMC7351940, DOI: 10.1007/s11606-019-05592-5.Peer-Reviewed Original ResearchConceptsInpatient deathPreventable mortalityPreventable deathsMortality rateHospital mortality rateLife expectancyRandom-effects modelSystematic literature searchNumber of deathsWeb of ScienceHospital deathAdult patientsHospitalized patientsResultsSixteen studiesCase seriesPooled rateCochrane LibraryInclusion criteriaPatientsMeta-AnalysisSystematic reviewLiterature searchData extractionMortalityDeath
2018
Multiple domains of social support are associated with diabetes self-management among Veterans
Gray KE, Hoerster KD, Reiber GE, Bastian LA, Nelson KM. Multiple domains of social support are associated with diabetes self-management among Veterans. Chronic Illness 2018, 15: 264-275. PMID: 29635933, DOI: 10.1177/1742395318763489.Peer-Reviewed Original ResearchConceptsDiabetes-specific social supportDiabetes self-management behaviorsSelf-management behaviorsPhysical activityGeneral social supportSocial supportMin/weekVA Puget SoundSelf-management routinesSupport scoresCross-sectional surveyBlood glucose monitoringPoisson regression modelsFamily/friendsSmoking statusDiabetes patientsLifestyle behaviorsHealthy eatingDisease controlGlucose monitoringParticipation domainsGood adherenceDiabetesPatientsVeterans
2017
Association between length of stay and readmission for COPD.
Rinne ST, Graves MC, Bastian LA, Lindenauer PK, Wong ES, Hebert PL, Liu CF. Association between length of stay and readmission for COPD. The American Journal Of Managed Care 2017, 23: e253-e258. PMID: 29087152, PMCID: PMC6007823.Peer-Reviewed Original ResearchConceptsLonger LOSLength of stayHospital LOSPatient levelHospital levelChronic Obstructive Pulmonary Disease ReadmissionsShorter LOSRisk of readmissionAssociation of patientVeterans Affairs hospitalTransitional care practicesCause readmissionCOPD hospitalizationsCOPD readmissionsOdds ratioObservational studyReadmissionMultivariable regressionHigh riskCare practicesCOPDPatientsStayHospitalAssociation
2016
Binge Eating among Women Veterans in Primary Care: Comorbidities and Treatment Priorities
Rosenbaum DL, Kimerling R, Pomernacki A, Goldstein KM, Yano EM, Sadler AG, Carney D, Bastian LA, Bean-Mayberry BA, Frayne SM. Binge Eating among Women Veterans in Primary Care: Comorbidities and Treatment Priorities. Women's Health Issues 2016, 26: 420-428. PMID: 26972486, DOI: 10.1016/j.whi.2016.02.004.Peer-Reviewed Original ResearchConceptsPrimary care patientsTreatment prioritiesCare patientsProblematic eating patternsVeteran primary care patientsPatient treatment prioritiesPrimary care settingPsychological complexityPsychological disordersMood concernsClinical profilePrimary careWeight managementScreening practicesCare settingsEating patternsWomen veteransTreatment resourcesMental disordersClinical servicesPatientsStatistical ManualFifth editionWeight lossBinge
2015
Associations Between Provider Designation and Female-specific Cancer Screening in Women Veterans
Bean-Mayberry B, Bastian L, Trentalange M, Murphy TE, Skanderson M, Allore H, Reyes-Harvey E, Maisel NC, Gaetano V, Wright S, Haskell S, Brandt C. Associations Between Provider Designation and Female-specific Cancer Screening in Women Veterans. Medical Care 2015, 53: s47-s54. PMID: 25767975, PMCID: PMC5477654, DOI: 10.1097/mlr.0000000000000323.Peer-Reviewed Original ResearchConceptsVeterans Affairs Healthcare SystemCancer screening ratesWomen's health providersCancer screeningWomen veteransHealth providersScreening ratesBreast cancer screening ratesFemale-specific cancersCervical cancer screeningPrimary care providersBreast cancer screeningLevel of careComprehensive primary careCross-sectional analysisClinical factorsProvider factorsPrimary careMultivariable modelHigher oddsProvider characteristicsNational guidelinesVA sitesPatientsDWHPs
2013
Telemedicine cardiovascular risk reduction in Veterans
Melnyk SD, Zullig LL, McCant F, Danus S, Oddone E, Bastian L, Olsen M, Stechuchak KM, Edelman D, Rakley S, Morey M, Bosworth HB. Telemedicine cardiovascular risk reduction in Veterans. American Heart Journal 2013, 165: 501-508. PMID: 23537965, PMCID: PMC3766959, DOI: 10.1016/j.ahj.2012.08.005.Peer-Reviewed Original ResearchConceptsCardiovascular risk reductionOptimal cardiovascular risk reductionLow density liporoteinRisk factor controlCardiovascular disease eventsCVD risk profileClinical pharmacy specialistsRisk reductionCVD controlCVD riskMedication interventionsNational prevalenceDisease eventsHealth behaviorsPharmacy specialistsDismal ratesRisk profileLongitudinal changesBehavioral interventionsHome monitoringHypertensionInterventionPatientsVeteransFactor control
2011
Proactive recruitment of cancer patients' social networks into a smoking cessation trial
Bastian LA, Fish LJ, Peterson BL, Biddle AK, Garst J, Lyna P, Molner S, Bepler G, Kelley M, Keefe FJ, McBride CM. Proactive recruitment of cancer patients' social networks into a smoking cessation trial. Contemporary Clinical Trials 2011, 32: 498-504. PMID: 21382509, PMCID: PMC3104120, DOI: 10.1016/j.cct.2011.03.006.Peer-Reviewed Original ResearchConceptsLung cancer patientsSmoking cessation interventionSmoking cessation trialPatient's social networkCessation interventionsCancer patientsCessation trialEligible lung cancer patientsFamily membersLate-stage diseaseSmoking cessation programMeasures logistic regression modelsProactive recruitmentLogistic regression modelsCessation programsLung cancerPatientsFemale family membersSmokersEligible familiesClinical sitesSuccessful enrollmentAppropriate timingPotential participantsInterventionPain and smoking among cancer patients: The relationship is complex but the clinical implication is clear
Bastian LA. Pain and smoking among cancer patients: The relationship is complex but the clinical implication is clear. Pain 2011, 152: 10-11. PMID: 21168757, PMCID: PMC3053043, DOI: 10.1016/j.pain.2010.10.023.Peer-Reviewed Original Research
2010
Smoking Cessation and Adherence
Rohrer L, Lynn B, Hill M, Fish L, Bastian L. Smoking Cessation and Adherence. 2010, 97-122. DOI: 10.1007/978-1-4419-5866-2_5.Peer-Reviewed Original Research
2009
Responses to Online GSTM1 Genetic Test Results among Smokers Related to Patients with Lung Cancer: A Pilot Study
Sanderson SC, O'Neill SC, White DB, Bepler G, Bastian L, Lipkus IM, McBride CM. Responses to Online GSTM1 Genetic Test Results among Smokers Related to Patients with Lung Cancer: A Pilot Study. Cancer Epidemiology Biomarkers & Prevention 2009, 18: 1953-1961. PMID: 19567511, PMCID: PMC3417294, DOI: 10.1158/1055-9965.epi-08-0620.Peer-Reviewed Original ResearchConceptsSmoking cessation servicesLung cancer riskGenetic test resultsCessation servicesCancer riskLung cancerEffective smoking cessation servicesLower lung cancer riskPersonal genetic test resultsSignificant between-group differencesBetween-group differencesGenetic risk informationClinic settingSmokersSmokers' responsesCeiling effectsPilot studyGSTM1PatientsRiskCancerCessation-related cognitionsReal-time assessmentRisk informationFurther researchWhat Can Interest Tell Us about Uptake of Genetic Testing? Intention and Behavior amongst Smokers Related to Patients with Lung Cancer
Sanderson S, O’Neill S, Bastian L, Bepler G, McBride C. What Can Interest Tell Us about Uptake of Genetic Testing? Intention and Behavior amongst Smokers Related to Patients with Lung Cancer. Public Health Genomics 2009, 13: 116-124. PMID: 19556750, PMCID: PMC3696369, DOI: 10.1159/000226595.Peer-Reviewed Original ResearchConceptsLung cancer riskGenetic testingLung cancerGenetic testing intentionsCancer riskPsychosocial aspectsPositive attitudesChoices individualsLikert-style questionsTesting intentionsUntested assumptionsParticipantsHypothetical interestHypothetical scenariosMotivationBest predictorDaily Internet useTelephone surveySmokersIntentionPatientsAttitudesGenetic testsInternet useCancer