Technology-supported, measurement-based supervision for Motivational Interviewing

Lyssn.Io, Inc., Seattle WA

Investigators

Linked publications & trials

Abstract

Project? ?Summary/Abstract Millions? ?of? ?Americans? ?receive? ?evidence-based? ?counseling? ?for? ?substance? ?use? ?problems? ?each? ?year.? ?Many evidence-based? ?treatments? ?for? ?substance? ?abuse? ?are? ??talk? ?based?? ?therapies,? ?such? ?as? ?motivational? ?interviewing (MI),? ?but? ?the? ?existing? ?research-based? ?methodology? ?for? ?evaluating? ?counseling? ?quality? ?is? ?to? ?record? ?sessions? ?and use? ?human? ?rating? ?teams? ?to? ?evaluate? ?them.? ?However,? ?using? ?humans? ?as? ?the? ?assessment? ?tool? ?via? ?behavioral coding? ?is? ?prohibitive? ?in? ?cost? ?and? ?time,? ?can? ?be? ?error? ?prone,? ?and? ?is? ?virtually? ?never? ?used? ?in? ?the? ?real? ?world. Technology? ?is? ?needed? ?that? ?can? ?analyze? ?the? ?speech? ?patterns? ?and? ?spoken? ?language? ?of? ?counseling? ?sessions, provide? ?automatic? ?and? ?intuitive? ?quality? ?scores,? ?and? ?summarize? ?these? ?in? ?actionable? ?feedback.? ?Rapid, performance-based? ?quality? ?metrics? ?could? ?support? ?training,? ?ongoing? ?supervision,? ?and? ?quality? ?assurance? ?for millions? ?of? ?evidence-based? ?counseling? ?sessions? ?for? ?substance? ?abuse? ?each? ?year. Lyssn.io?? ?is? ?a? ?start-up? ?targeting? ?the? ?development? ?of? ?implementation-focused? ?technology? ?to? ?support evidence-based? ?counseling.? ?? ?Our? ?goal? ?is? ?to? ?develop? ?innovative? ?health? ?technology? ?solutions? ?that? ?are? ?objective, scalable,? ?and? ?cost? ?efficient.? ??Lyssn.io?? ?includes? ?expertise? ?in? ?speech? ?signal? ?processing,? ?machine? ?learning, user-centered? ?design,? ?software? ?engineering,? ?and? ?clinical? ?expertise? ?in? ?evidence-based? ?counseling.? ?Previous NIH-funded? ?research? ?laid? ?a? ?computational? ?foundation? ?for? ?generating? ?MI? ?quality? ?metrics? ?from? ?speech? ?and language? ?features? ?in? ?MI? ?sessions,? ?and? ?led? ?to? ?a? ?prototype? ?of? ?a? ?clinical? ?software? ?support? ?tool,? ?the? ?Counselor Observer? ?Ratings? ?Expert? ?for? ?MI? ?(CORE-MI). The? ?current? ?Fast-Track? ?SBIR? ?proposal? ?includes? ?Phase? ?I,? ?which? ?will? ?focus? ?on? ?understanding? ?clinical workflows,? ?assessing? ?usability,? ?and? ?initial? ?validation? ?of? ?machine? ?learning? ?of? ?MI? ?fidelity? ?measures? ?in? ?the? ?opioid treatment? ?program? ?at? ?Evergreen? ?Treatment? ?Services? ?(ETS)? ?clinic? ?in? ?Seattle,? ?WA.? ?Phase? ?II? ?will? ?focus? ?on? ?robust validation? ?of? ?the? ?speech? ?and? ?language? ?technologies? ?underlying? ?the? ?CORE-MI? ?tool,? ?and? ?development? ?of? ?scalable supervision? ?protocols? ?that? ?integrate? ?CORE-MI? ?supported? ?feedback? ?for? ?counselors.? ?Finally,? ?we? ?will? ?conduct? ?a quasi-experimental? ?evaluation? ?of? ?CORE-MI? ?supported? ?supervision? ?and? ?training? ?at? ?a? ?second? ?ETS? ?clinic? ?in? ?the Puget? ?Sound,? ?focusing? ?on? ?acceptability,? ?usability,? ?and? ?adoption,? ?the? ?impact? ?on? ?supervision,? ?improved? ?MI? ?fidelity and? ?preliminary? ?evidence? ?of? ?increased? ?client? ?retention.? ?? ?The? ?successful? ?execution? ?of? ?this? ?project? ?will? ?break? ?the reliance? ?on? ?human? ?judgment? ?for? ?providing? ?performance-based? ?feedback? ?to? ?MI? ?and? ?will? ?massively? ?expand? ?the capacity? ?to? ?train,? ?supervise,? ?and? ?provide? ?quality? ?assurance? ?in? ?MI? ?for? ?substance? ?abuse.