2022
Patient-Centered Pain Care Using Artificial Intelligence and Mobile Health Tools
Piette JD, Newman S, Krein SL, Marinec N, Chen J, Williams DA, Edmond SN, Driscoll M, LaChappelle KM, Kerns RD, Maly M, Kim HM, Farris KB, Higgins DM, Buta E, Heapy AA. Patient-Centered Pain Care Using Artificial Intelligence and Mobile Health Tools. JAMA Internal Medicine 2022, 182: 975-983. PMID: 35939288, PMCID: PMC9361183, DOI: 10.1001/jamainternmed.2022.3178.Peer-Reviewed Original ResearchConceptsCBT-CPComparative effectiveness trialTherapist timeSecondary outcomesMore patientsEffectiveness trialInteractive voice responseCP groupMeaningful improvementsPatient-centered pain careRoland-Morris Disability QuestionnaireVeterans Affairs Health SystemMorris Disability QuestionnairePain intensity scoresChronic back painLess therapist timeMobile health toolsCognitive behavioral therapyRandomized noninferiorityDisability QuestionnaireNoninferiority criteriaOpioid analgesicsPain intensityPain therapyPrimary outcome
2018
Veteran Experiences Seeking Non-pharmacologic Approaches for Pain
Giannitrapani K, McCaa M, Haverfield M, Kerns RD, Timko C, Dobscha S, Lorenz K. Veteran Experiences Seeking Non-pharmacologic Approaches for Pain. Military Medicine 2018, 183: e628-e634. PMID: 29590422, DOI: 10.1093/milmed/usy018.Peer-Reviewed Original ResearchConceptsNon-pharmacologic approachesUS military veteransPatient-centered pain careVA health care systemManagement of painNumeric rating scalePrimary care clinicsMilitary veteransPain intensity ratingsSpecific access barriersVA healthcare systemMulti-level barriersHealth care systemVeterans' experiencesFuture implementation effortsPain screeningCare clinicsPain carePrimary careCare coordinationPain studiesPainPain experienceVeterans' knowledgeFemale veterans
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 care