2020
Predictors of engagement in an internet-based cognitive behavioral therapy program for veterans with chronic low back pain
Solar C, Halat AM, MacLean RR, Rajeevan H, Williams DA, Krein SL, Heapy AA, Bair MJ, Kerns RD, Higgins DM. Predictors of engagement in an internet-based cognitive behavioral therapy program for veterans with chronic low back pain. Translational Behavioral Medicine 2020, 11: 1274-1282. PMID: 33098304, DOI: 10.1093/tbm/ibaa098.Peer-Reviewed Original ResearchConceptsChronic low back painLow back painClinical characteristicsBack painChronic painEASE programParticipant characteristicsInternet-based cognitive behavioural therapy programmeInternet-based cognitive behavioral therapy interventionInternet-based interventionsCognitive behavioral therapy interventionInternet-based programCognitive behavioral therapy programBehavioral therapy interventionBehavioral therapy programRace/ethnicityPain careMean ageNumber of loginsIncreased ageTherapy interventionWeek trialPainTherapy programPredictors of engagementInternet‐Based Pain Self‐Management for Veterans: Feasibility and Preliminary Efficacy of the Pain EASE Program
Higgins DM, Buta E, Williams DA, Halat A, Bair MJ, Heapy AA, Krein SL, Rajeevan H, Rosen MI, Kerns RD. Internet‐Based Pain Self‐Management for Veterans: Feasibility and Preliminary Efficacy of the Pain EASE Program. Pain Practice 2020, 20: 357-370. PMID: 31778281, DOI: 10.1111/papr.12861.Peer-Reviewed Original ResearchConceptsChronic low back painSelf-management programPain interferencePreliminary efficacyInternet-based self-management programPhase IPost-baseline assessmentLow back painPain Self-ManagementPhase IIPreliminary efficacy studyTechnology-delivered interventionsModerate painSecondary outcomesPain intensityBack painAverage ageEfficacy studiesDepression symptomsSubject improvementExpert panelSelf-ManagementSubject changesEASE programWeeks
2016
Patient-Centered Pain Care Using Artificial Intelligence and Mobile Health Tools: Protocol for a Randomized Study Funded by the US Department of Veterans Affairs Health Services Research and Development Program
Piette JD, Krein SL, Striplin D, Marinec N, Kerns RD, Farris KB, Singh S, An L, Heapy AA. Patient-Centered Pain Care Using Artificial Intelligence and Mobile Health Tools: Protocol for a Randomized Study Funded by the US Department of Veterans Affairs Health Services Research and Development Program. JMIR Research Protocols 2016, 5: e53. PMID: 27056770, PMCID: PMC4856067, DOI: 10.2196/resprot.4995.Peer-Reviewed Original ResearchInteractive voice response callsTelephone Cognitive Behavioral TherapyChronic low back painCognitive behavioral therapyPain management servicesLow back painBack painTreatment responsePatient-centered pain carePedometer-measured step countsStep countVeterans Affairs Health Services ResearchVeterans Affairs patientsPain-related interferencePain-related outcomesPain-related functioningVA healthcare systemMobile health toolsWeekly hour-long sessionsPedometer step countsSignificant treatment responseHealth services researchPain controlTreatment satisfactionPain careCooperative pain education and self-management (COPES): study design and protocol of a randomized non-inferiority trial of an interactive voice response-based self-management intervention for chronic low back pain
Heapy AA, Higgins DM, LaChappelle KM, Kirlin J, Goulet JL, Czlapinski RA, Buta E, Piette JD, Krein SL, Richardson CR, Kerns RD. Cooperative pain education and self-management (COPES): study design and protocol of a randomized non-inferiority trial of an interactive voice response-based self-management intervention for chronic low back pain. BMC Musculoskeletal Disorders 2016, 17: 85. PMID: 26879051, PMCID: PMC4754867, DOI: 10.1186/s12891-016-0924-z.Peer-Reviewed Original ResearchConceptsChronic low back painLow back painNon-inferiority trialRandomized non-inferiority trialCognitive behavioral therapyPerson cognitive-behavioural therapyBack painClinical outcomesChronic pain conditionsNumeric rating scalePain-related interferencePatient-reported informationSelf-management interventionsEvidence-based treatmentsQuality of lifeUS military veteransStatewide health systemBackgroundThe InstituteIVR monitoringSecondary outcomesMore patientsPain conditionsPain intensityPrimary outcomeChronic pain
2012
Pain Coping but Not Readiness to Change Is Associated With Pretreatment Pain-related Functioning
Finan PH, Burns JW, Jensen MP, Nielson WR, Kerns RD. Pain Coping but Not Readiness to Change Is Associated With Pretreatment Pain-related Functioning. The Clinical Journal Of Pain 2012, 28: 687-692. PMID: 22688600, DOI: 10.1097/ajp.0b013e3182400867.Peer-Reviewed Original Research
2010
The Moderating Effect of Obesity on Cognitive–Behavioral Pain Treatment Outcomes
Sellinger JJ, Clark EA, Shulman M, Rosenberger PH, Heapy AA, Kerns RD. The Moderating Effect of Obesity on Cognitive–Behavioral Pain Treatment Outcomes. Pain Medicine 2010, 11: 1381-1390. PMID: 20735748, DOI: 10.1111/j.1526-4637.2010.00935.x.Peer-Reviewed Original ResearchConceptsBody mass indexNon-obese participantsPain treatment outcomesMass indexTreatment outcomesSF-36Roland-Morris Disability QuestionnaireChronic low back painAverage body mass indexLow back pain outcomesPain treatment interventionsVeterans SF-36Morris Disability QuestionnaireNon-obese groupAverage pain intensityBack pain outcomesLow back painNumerical rating scaleRole of BMIMeasures of disabilityBeck Depression InventoryDisability QuestionnairePain treatmentBack painPain conditions
2008
Patient race and physicians' decisions to prescribe opioids for chronic low back pain
Burgess DJ, Crowley-Matoka M, Phelan S, Dovidio JF, Kerns R, Roth C, Saha S, van Ryn M. Patient race and physicians' decisions to prescribe opioids for chronic low back pain. Social Science & Medicine 2008, 67: 1852-1860. PMID: 18926612, DOI: 10.1016/j.socscimed.2008.09.009.Peer-Reviewed Original ResearchConceptsChronic low back painLow back painPatient racePhysician's decisionWhite patientsBack painTreatment decisionsHigh doseAmerican Medical Association Physician MasterfileChronic pain patientsPrimary care physiciansPhysicians' treatment decisionsNon-clinical characteristicsStrong opioidsNonwhite patientsPatient characteristicsPain managementPain patientsBlack patientsCare physiciansPatientsOpioidsPhysician MasterfilePhysician behaviorPatient's verbal behavior
2007
Meta-Analysis of Psychological Interventions for Chronic Low Back Pain
Hoffman BM, Papas RK, Chatkoff DK, Kerns RD. Meta-Analysis of Psychological Interventions for Chronic Low Back Pain. Health Psychology 2007, 26: 1-9. PMID: 17209691, DOI: 10.1037/0278-6133.26.1.1.Peer-Reviewed Original ResearchConceptsChronic low back painLow back painPain intensityBack painD effect sizesPsychological interventionsInclusion criteriaHealth care provider visitsComputer-aided literature searchHealth-related qualityPain-related interferenceHealth care utilizationRandom-effects modelCohen's d effect sizesMinimal publication biasEffect sizeSelf-regulatory treatmentPain medicationProvider visitsActive control conditionCare utilizationPain interferenceCompensation statusClinical trialsPositive short-term effects
2003
Cognitive–Behavioral Therapy for Chronic Low Back Pain in Older Persons: A Preliminary Study
Reid MC, Otis J, Barry LC, Kerns RD. Cognitive–Behavioral Therapy for Chronic Low Back Pain in Older Persons: A Preliminary Study. Pain Medicine 2003, 4: 223-230. PMID: 12974821, DOI: 10.1046/j.1526-4637.2003.03030.x.Peer-Reviewed Original ResearchConceptsChronic low back painCognitive behavioral therapyLow back painPain intensityOlder personsBack painParticipants' pain intensityPain-related disabilityPain-related disability scoresUncontrolled pilot studyWeekly individual sessionsSocial activity levelsDisability scoresMean agePretreatment levelsFeasible treatmentTreatment sessionsPosttreatment assessmentPotential efficacyBehavioral therapyPilot studyWeeksMean numberActivity levelsPain