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
2022
Using Daily Ratings to Examine Treatment Dose and Response in Cognitive Behavioral Therapy for Chronic Pain: A Secondary Analysis of the Co-Operative Pain Education and Self-Management Clinical Trial
MacLean R, Buta E, Higgins D, Driscoll M, Edmond S, LaChappelle K, Ankawi B, Krein S, Piette J, Heapy A. Using Daily Ratings to Examine Treatment Dose and Response in Cognitive Behavioral Therapy for Chronic Pain: A Secondary Analysis of the Co-Operative Pain Education and Self-Management Clinical Trial. Pain Medicine 2022, 24: 846-854. PMID: 36484691, PMCID: PMC10250557, DOI: 10.1093/pm/pnac192.Peer-Reviewed Original ResearchConceptsPain intensityCognitive behavioral therapyCBT-CPChronic painTreatment responseDaily stepsSecondary analysisBehavioral therapyMeaningful changeChronic back painStrong evidence baseBack painPain educationTreatment weekClinical trialsNoninferiority trialTreatment benefitOutcome measuresWeek 4Treatment doseWeek 2Baseline weekMost respondersSurvival analysisStep count
2018
Predictors of Participation in a Nonpharmacological Intervention for Chronic Back Pain
Higgins DM, LaChappelle KM, Serowik KL, Driscoll MA, Lee A, Heapy AA. Predictors of Participation in a Nonpharmacological Intervention for Chronic Back Pain. Pain Medicine 2018, 19: s76-s83. PMID: 30753730, DOI: 10.1093/pm/pny077.Peer-Reviewed Original ResearchConceptsChronic back painPredictors of enrollmentCBT-CPBack painCognitive behavioral therapyEligible patientsMost patientsChronic painPain careEligible participantsPredictors of participationNonpharmacological interventionsNoninferiority trialMedical CenterDuration of participationTreatment doseTrial screeningPatientsPainBehavioral therapyOpioidsRegression analysisEnrollmentPredictorsDose
2017
Interactive Voice Response–Based Self-management for Chronic Back Pain: The COPES Noninferiority Randomized Trial
Heapy AA, Higgins DM, Goulet JL, LaChappelle KM, Driscoll MA, Czlapinski RA, Buta E, Piette JD, Krein SL, Kerns RD. Interactive Voice Response–Based Self-management for Chronic Back Pain: The COPES Noninferiority Randomized Trial. JAMA Internal Medicine 2017, 177: 765-773. PMID: 28384682, PMCID: PMC5818820, DOI: 10.1001/jamainternmed.2017.0223.Peer-Reviewed Original ResearchConceptsPerson cognitive-behavioural therapyChronic back painNumeric rating scaleCognitive behavioral therapyBack painChronic painPrimary outcomeSleep qualityVeterans Affairs Health Care SystemPrespecified noninferiority marginAverage pain intensityNonpharmacologic treatment optionsPain-related interferenceChronic pain treatmentSelf-management trialCognitive behavioral therapy deliveryIndividual CBT sessionsEvidence-based treatmentsQuality of lifeSelf-help manualHealth care systemIVR monitoringNonpharmacologic interventionsSecondary outcomesStandard therapy