2023
A population-based investigation into the prevalence of chronic fatigue syndrome in United States military Veterans with chronic pain
Adamowicz J, Thomas E, Lund B, Driscoll M, Vander Weg M, Hadlandsmyth K. A population-based investigation into the prevalence of chronic fatigue syndrome in United States military Veterans with chronic pain. Fatigue Biomedicine Health & Behavior 2023, 11: 129-141. DOI: 10.1080/21641846.2023.2239977.Peer-Reviewed Original ResearchContext of chronic painVeterans Health AdministrationChronic fatigue syndromeChronic painSociodemographic characteristicsPrevalence of chronic fatigue syndromeMilitary veteransEffect sizeUnited States military veteransFatigue syndromeContext of CPDiagnosis of chronic fatigue syndromePopulation-based investigationChi-square test of independenceWeak effect sizesBetween-group comparisonsRural-dwellingBack painNon-HispanicHealthcare servicesHealth AdministrationChi-square testPeriod prevalencePersistent fatigueSample t-test
2020
The Relationship Between Body Mass Index and Pain Intensity Among Veterans with Musculoskeletal Disorders: Findings from the MSD Cohort Study
Higgins DM, Buta E, Heapy AA, Driscoll MA, Kerns RD, Masheb R, Becker WC, Hausmann LRM, Bair MJ, Wandner L, Janke EA, Brandt CA, Goulet JL. The Relationship Between Body Mass Index and Pain Intensity Among Veterans with Musculoskeletal Disorders: Findings from the MSD Cohort Study. Pain Medicine 2020, 21: 2563-2572. PMID: 32186722, PMCID: PMC7778330, DOI: 10.1093/pm/pnaa043.Peer-Reviewed Original ResearchConceptsBody mass indexVeterans Health AdministrationPain intensityMass indexFunction of BMILow back pain groupOdds of painBack pain groupOverweight/obesityElectronic health record dataHealth record dataUS military veteransMusculoskeletal disorder diagnosisCohort studyOsteoarthritis groupPain groupMean ageNational cohortHigh prevalenceMSD diagnosisMusculoskeletal disordersPainHealth AdministrationDisorder diagnosisCross-sectional data
2019
When user-centered design meets implementation science: integrating provider perspectives in the development of an intimate partner violence intervention for women treated in the United States’ largest integrated healthcare system
Danitz SB, Stirman SW, Grillo AR, Dichter ME, Driscoll M, Gerber MR, Gregor K, Hamilton AB, Iverson KM. When user-centered design meets implementation science: integrating provider perspectives in the development of an intimate partner violence intervention for women treated in the United States’ largest integrated healthcare system. BMC Women's Health 2019, 19: 145. PMID: 31771557, PMCID: PMC6880505, DOI: 10.1186/s12905-019-0837-8.Peer-Reviewed Original ResearchConceptsVeterans Health AdministrationVHA providersWomen veteransUnited StatesIntimate partner violence interventionsBackgroundIntimate partner violencePartner violence interventionsBrief counseling interventionHealthcare systemKey informant interviewsHybrid inductive-deductive approachDate of enrollmentDate of registrationGlobal health problemCounseling interventionLarge medical centerHealth care settingsImplementation scienceRapid content analysisInductive-deductive approachViolence interventionPartner violenceIPV interventionsProvider comfortMean ageStrides Toward Recovery From Intimate Partner Violence: Elucidating Patient-Centered Outcomes to Optimize a Brief Counseling Intervention for Women
Grillo AR, Danitz SB, Dichter ME, Driscoll MA, Gerber MR, Hamilton AB, Wiltsey-Stirman S, Iverson KM. Strides Toward Recovery From Intimate Partner Violence: Elucidating Patient-Centered Outcomes to Optimize a Brief Counseling Intervention for Women. Journal Of Interpersonal Violence 2019, 36: np8431-np8453. PMID: 30994401, DOI: 10.1177/0886260519840408.Peer-Reviewed Original ResearchConceptsPatient-centered outcomesVeterans Health AdministrationIntimate partner violenceIPV interventionsHealthcare-based interventionsPatient-centered interventionsClinical outcome measurementsBrief counseling interventionFocus groupsVHA facilitiesWomen patientsConventional content analysisPartner violenceRefined interventionOutcome measurementsHealth AdministrationLarger studyPilot studyOptimal outcomesWomenTypes of outcomesInterventionOutcomesCounseling interventionPatients
2017
Incident Cardiovascular Risk Factors Among Men and Women Veterans After Return From Deployment
Haskell SG, Brandt C, Burg M, Bastian L, Driscoll M, Goulet J, Mattocks K, Dziura J. Incident Cardiovascular Risk Factors Among Men and Women Veterans After Return From Deployment. Medical Care 2017, 55: 948-955. PMID: 28984707, DOI: 10.1097/mlr.0000000000000801.Peer-Reviewed Original ResearchConceptsCardiovascular risk factorsCV risk factorsRisk factorsImpact of sexWomen veteransClinical Modification diagnostic codesIncident cardiovascular risk factorsPrimary care visitsCoronary artery diseaseElectronic health record dataRisk of obesityVeterans Health AdministrationIncident risk factorsHealth record dataMental health conditionsBlack womenNew International ClassificationCare visitsCohort studyArtery diseaseFemale sexDiagnostic codesIncidence rateProtective effectInternational ClassificationExamining Gender as a Correlate of Self-Reported Pain Treatment Use Among Recent Service Veterans with Deployment-Related Musculoskeletal Disorders
Driscoll MA, Higgins D, Shamaskin-Garroway A, Burger A, Buta E, Goulet JL, Heapy A, Kerns RD, Brandt CA, Haskell SG. Examining Gender as a Correlate of Self-Reported Pain Treatment Use Among Recent Service Veterans with Deployment-Related Musculoskeletal Disorders. Pain Medicine 2017, 18: 1767-1777. PMID: 28379576, DOI: 10.1093/pm/pnx023.Peer-Reviewed Original ResearchConceptsPain treatment modalitiesChronic painSelf-reported useCIH servicesPain treatmentPain careMusculoskeletal conditionsTreatment modalitiesRehabilitation therapyIntegrative health servicesInterventional pain treatmentsChronic pain treatmentWomen Veterans Cohort StudyVeterans Health AdministrationMental health conditionsSelf-rated healthGender differencesSample of veteransCorrelates of SelfCohort studyPain severityCare utilizationSpecialty careTreatment useInterventional strategies
2016
The musculoskeletal diagnosis cohort
Goulet JL, Kerns RD, Bair M, Becker W, Brennan P, Burgess DJ, Carroll CM, Dobscha S, Driscoll M, Fenton BT, Fraenkel L, Haskell S, Heapy A, Higgins D, Hoff RA, Hwang U, Justice AC, Piette JD, Sinnott P, Wandner L, Womack J, Brandt CA. The musculoskeletal diagnosis cohort. Pain 2016, 157: 1696-1703. PMID: 27023420, PMCID: PMC4949131, DOI: 10.1097/j.pain.0000000000000567.Peer-Reviewed Original ResearchConceptsMSD diagnosisMusculoskeletal disordersMSD cohortIndex dateVeterans Health Administration (VHA) careNumeric rating scale scoreICD-9-CM codesCohort inclusion criteriaNontraumatic joint disordersPain-related treatmentsMore outpatient visitsVeterans Health AdministrationMental health diagnosesRating Scale scoresHigher NRS scoresHealth services researchElectronic health recordsDiagnosis cohortSevere painInpatient visitsNRS scoresOutpatient visitsNeck disordersFirst diagnosisMean age