2024
Cognitive behavioral therapy for chronic pain supported by digital patient feedback and artificial intelligence: Do patients with socioeconomic risk factors benefit?
Piette J, Driscoll M, Buta E, Kerns R, Heapy A. Cognitive behavioral therapy for chronic pain supported by digital patient feedback and artificial intelligence: Do patients with socioeconomic risk factors benefit? Intelligence-Based Medicine 2024, 10: 100164. DOI: 10.1016/j.ibmed.2024.100164.Peer-Reviewed Original ResearchSocial determinants of healthPain-related disabilityCBT-CPClinically meaningful improvementsCognitive behavioral therapyChronic painSocial determinants of health indicatorsTreatment engagementMeaningful improvementsDeterminants of healthSocially disadvantaged patientsSocioeconomic risk factorsComparative effectiveness trialPoor treatment engagementBehavioral therapySDoH indicatorsTreatment access barriersSocial determinantsDisadvantaged patientsSession completionExacerbate disparitiesDigital interventionsPatient feedbackGeographic accessAccess barriers
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 countArtificial Intelligence (AI) to improve chronic pain care: Evidence of AI learning
Piette J, Newman S, Krein S, Marinec N, Chen J, Williams D, Edmond S, Driscoll M, LaChappelle K, Maly M, Kim H, Farris K, Higgins D, Kerns R, Heapy A. Artificial Intelligence (AI) to improve chronic pain care: Evidence of AI learning. Intelligence-Based Medicine 2022, 6: 100064. DOI: 10.1016/j.ibmed.2022.100064.Peer-Reviewed Original ResearchPatient interactionsPatient subgroupsInteractive voice response callsPain-related interferenceComparative effectiveness trialChronic pain careCourse of therapyPedometer step countsDisease management programsCognitive behavioral therapyCBT-CPChronic painMore patientsPain careTreatment modalitiesTreatment recommendationsEffectiveness trialPatientsStep countBehavioral therapyClinician timeWeeksTherapy sessionsMethods DataTherapist feedback
2021
Incorporating walking into cognitive behavioral therapy for chronic pain: safety and effectiveness of a personalized walking intervention
Heapy AA, Tankha H, Higgins DM, Driscoll M, LaChappelle KM, Goulet JL, Buta E, Piette JD, Kerns RD, Krein SL. Incorporating walking into cognitive behavioral therapy for chronic pain: safety and effectiveness of a personalized walking intervention. Journal Of Behavioral Medicine 2021, 44: 260-269. PMID: 33386530, DOI: 10.1007/s10865-020-00193-8.Peer-Reviewed Original ResearchConceptsAdverse eventsCognitive behavioral therapyChronic painBehavioral therapyCBT-CPLongstanding painWalking interventionsDaily stepsTreatment groupsPainInteractive voice responseStudy sampleWeekly goalsSignificant differencesSignificant increaseTherapyTreatmentParticipantsVoice responseSafetyPersonsBaselineWeeks
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
Developing a typology of patient-generated behavioral goals for cognitive behavioral therapy for chronic pain (CBT-CP): classification and predicting outcomes
Heapy AA, Wandner L, Driscoll MA, LaChappelle K, Czlapinski R, Fenton BT, Piette JD, Aikens JE, Janevic MR, Kerns RD. Developing a typology of patient-generated behavioral goals for cognitive behavioral therapy for chronic pain (CBT-CP): classification and predicting outcomes. Journal Of Behavioral Medicine 2017, 41: 174-185. PMID: 28936717, DOI: 10.1007/s10865-017-9885-4.Peer-Reviewed Original ResearchConceptsCognitive behavioral therapyChronic painYard workTreatment outcomesPhysical activityDepressive symptomsPain-related interferenceWork/schoolPain intensityFunctional statusTreatment goalsPredicting OutcomePatient valuesMeaningful improvementsOutcome domainsBehavioral therapyWellness goalsRecreational activitiesPainTherapyOutcomesSymptomsBehavioral goalsActivity