2022
The Effect of Primary Care Visits on Total Patient Care Cost: Evidence From the Veterans Health Administration
Gao J, Moran E, Grimm R, Toporek A, Ruser C. The Effect of Primary Care Visits on Total Patient Care Cost: Evidence From the Veterans Health Administration. Journal Of Primary Care & Community Health 2022, 13: 21501319221141792. PMID: 36564889, PMCID: PMC9793026, DOI: 10.1177/21501319221141792.Peer-Reviewed Original ResearchMeSH KeywordsHealth Care CostsHumansPatient CarePrimary Health CareRetrospective StudiesVeteransVeterans HealthConceptsTotal patient care costsPatient care costsVeterans Health AdministrationPrimary care visitsPC visitsCare costsPrimary careCare visitsHealth AdministrationOverall health care costsHigh-risk patientsSeverity of illnessHealth care costsPatient care outcomesClinical outcomesPC providersRetrospective studyComplex patientsPerson visitsPreventive servicesPatient riskComprehensive careMAIN OUTCOMECare outcomesPatients
2021
ICD-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 ResearchMeSH KeywordsHumansInternational Classification of DiseasesLongitudinal StudiesMusculoskeletal DiseasesVeteransVeterans HealthConceptsSpecialty 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 system
2019
Sequelae of an Evidence-based Approach to Management for Access to Care in the Veterans Health Administration
Kaboli PJ, Miake-Lye IM, Ruser C, Yano EM, Orshansky G, Rubenstein L, Curtis I, Kirsh S, Hempel S. Sequelae of an Evidence-based Approach to Management for Access to Care in the Veterans Health Administration. Medical Care 2019, 57: s213-s220. PMID: 31517790, PMCID: PMC6750154, DOI: 10.1097/mlr.0000000000001177.Peer-Reviewed Original ResearchConceptsEvidence-based approachVeterans AffairsPrimary care managementVeterans Health AdministrationHigh-quality careHealth care systemResearch evidenceVA initiativesPrimary careCare managementEvidence reportHealth AdministrationPeer-reviewed manuscriptsQuality careCare systemPanel meetingHealth careCareProgram reportsPractice managersKey conferencesReportStakeholder panelPractice implicationsUnanswered questions
2018
Project STEP: Implementing the Veterans Health Administration’s Stepped Care Model of Pain Management
Edmond SN, Moore BA, Dorflinger LM, Goulet JL, Becker WC, Heapy AA, Sellinger JJ, Lee AW, Levin FL, Ruser CB, Kerns RD. Project STEP: Implementing the Veterans Health Administration’s Stepped Care Model of Pain Management. Pain Medicine 2018, 19: s30-s37. PMID: 30203015, DOI: 10.1093/pm/pny094.Peer-Reviewed Original ResearchConceptsVA Connecticut Healthcare SystemPrimary care providersVeterans Health AdministrationPain careStepped care modelCare providersPain managementCare modelHealth care utilization dataMultimodal pain careNonopioid analgesic prescribingLong-term opioidsElectronic health record dataPain intensity ratingsHealth record dataClinical health psychologyNonpharmacological servicesAnalgesic prescribingOpioid prescribingPharmacological managementNonpharmacological approachesNonpharmacological treatmentsReferral practicesPhysical therapyCare practices
2017
Night eating among veterans with obesity
Dorflinger LM, Ruser CB, Masheb RM. Night eating among veterans with obesity. Appetite 2017, 117: 330-334. PMID: 28711610, DOI: 10.1016/j.appet.2017.07.011.Peer-Reviewed Original ResearchMeSH KeywordsAgedBinge-Eating DisorderBody Mass IndexComorbidityConnecticutDepressionElectronic Health RecordsFemaleHumansHyperphagiaMaleMass ScreeningMiddle AgedNight Eating SyndromeObesityPatient Acceptance of Health CarePrevalenceSeverity of Illness IndexSleep Initiation and Maintenance DisordersStress Disorders, Post-TraumaticVeterans HealthWeight Reduction ProgramsConceptsPsychological variablesProblematic eating behaviorsMeasures of bingeNight eatingEmotional eatingWeight management treatmentDisorder symptomatologyEmotional overeatingEating behaviorsBehavioral weight management interventionsEatingWeight management interventionsHigher scoresPTSDBingeVA Connecticut Healthcare SystemInsomniaVeteransWeight management programWeight management servicesWeight outcomesManagement interventionsMost individualsEmotionsRelated comorbidities
2016
Prevalence and correlates of painful conditions and multimorbidity in national sample of overweight/obese Veterans
Higgins DM, Buta E, Dorflinger L, Masheb RM, Ruser CB, Goulet JL, Heapy AA. Prevalence and correlates of painful conditions and multimorbidity in national sample of overweight/obese Veterans. The Journal Of Rehabilitation Research And Development 2016, 53: 71-82. PMID: 26933823, DOI: 10.1682/jrrd.2014.10.0251.Peer-Reviewed Original ResearchConceptsArthritis/joint painOverweight/obese veteransJoint painPainful conditionsObese veteransHigher oddsVeterans Health Administration (VHA) careHigher body mass indexPrevalent public health concernCommon painful conditionNumber of comorbiditiesOverweight/obesityBody mass indexWeight management programPublic health concernMultiple comorbiditiesMultivariable adjustmentChronic painMass indexClinical managementMultinomial logistic regressionPainFemale veteransReference categoryComorbidities
2014
Psychometric properties of a MOVE!23 subscale: Perceived Contributors to Weight Change in a national sample of veterans
Higgins DM, Buta E, Dorflinger L, Heapy AA, Ruser CB, Goulet JL, Masheb RM. Psychometric properties of a MOVE!23 subscale: Perceived Contributors to Weight Change in a national sample of veterans. Journal Of Health Psychology 2014, 21: 1394-1403. PMID: 25293969, DOI: 10.1177/1359105314554530.Peer-Reviewed Original Research