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.

Public Health Relevance

Project? ?Narrative Most? ?evidence-based? ?treatments? ?for? ?substance? ?abuse? ?are? ?in-person? ?psychotherapy? ?and? ?counseling interventions,? ?such? ?as? ?motivational? ?interviewing.? ?There? ?are? ?currently? ?no? ?methods? ?for? ?evaluating? ?the? ?quality? ?of such? ?counseling? ?interventions? ?in? ?the? ?real? ?world? ?to? ?support? ?training,? ?supervision,? ?and? ?quality? ?assurance.? ?Building on? ?an? ?existing? ?prototype,? ??Lyssn.io?? ??? ?a? ?technology? ?start-up? ?focused? ?on? ?scalable? ?and? ?cost-efficient human-centered? ?technologies? ??? ?will? ?enhance? ?and? ?evaluate? ?a? ?cloud-based,? ?HIPAA-compliant? ?clinical? ?support software? ?tool? ?that? ?uses? ?automated? ?speech? ?recognition? ?and? ?machine? ?learning? ?in? ?an? ?community? ?based? ?opioid replacement? ?clinic.

Agency
National Institute of Health (NIH)
Institute
National Institute on Drug Abuse (NIDA)
Type
Small Business Innovation Research Grants (SBIR) - Phase II (R44)
Project #
3R44DA046243-03S1
Application #
9930480
Study Section
Special Emphasis Panel (ZRG1)
Program Officer
Su, Shelley
Project Start
2018-07-15
Project End
2020-12-31
Budget Start
2020-01-01
Budget End
2020-12-31
Support Year
3
Fiscal Year
2020
Total Cost
Indirect Cost
Name
Lyssn.Io, Inc.
Department
Type
DUNS #
080809132
City
Seattle
State
WA
Country
United States
Zip Code
98115