Literature DB >> 33146558

Real-world reduction in healthcare resource utilization following treatment of opioid use disorder with reSET-O, a novel prescription digital therapeutic.

Fulton F Velez1, Sam Colman2, Laura Kauffman2, Charles Ruetsch3, Kathryn Anastassopoulos2.   

Abstract

INTRODUCTION: Buprenorphine medication assisted treatment (B-MAT) adherence for opioid use disorder (OUD) is suboptimal. reSET-O, an FDA-cleared prescription digital therapeutic, delivers neurobehavioral therapy (community-reinforcement approach+fluency training+contingency management) to B-MAT-treated OUD patients.
METHODS: This retrospective claims study (10/01/2018-10/31/2019) evaluated healthcare resource utilization up to 6 months before/after reSET-O initiation. Repeated-measures negative binomial models compared incidences of encounters/procedures. Net change in costs was assessed.
RESULTS: Among 351 patients (mean age 37; 59.5% female; 82.6% Medicaid), 334 had pharmacy claims and 240 (71.9%) received buprenorphine pre-/post-index (medication possession ratio 0.73 and 0.82, respectively; P = 0.004). Facility encounters decreased, with 45 fewer inpatient (P = 0.024) and 27 fewer emergency department (ED) visits (P = 0.247). Clinical encounters with largest changes were drug testing (638 fewer; P < 0.001), psychiatry (349 fewer; P = 0.036), case management (176 additional; P = 0.588), other pathology/laboratory (166 fewer; P = 0.039), office/other outpatient (154 fewer; P = 0.302), behavioral rehabilitation (111 additional; P = 0.124), alcohol/substance rehabilitation (96 fewer; P = 0.348), other rehabilitation (66 fewer; P = 0.387), mental health rehabilitation (61 additional; P = 0.097), and surgery (60 fewer; P = 0.070). Changes in facility/clinical encounters saved $2,150/patient.
CONCLUSION: reSET-O initiation was associated with fewer inpatient, ED, and other clinical encounters, increased case management/rehabilitative services, and lower net costs over six months. EXPERT OPINION: Real-world evidence is helpful in evaluating the effectiveness of interventions in usual-care conditions, outside of controlled research environments. Large observational studies based on health care claims are important to understand the actual pharmacoeconomic and outcomes impact of interventions at the health care system and population level.

Entities:  

Keywords:  Opioid use disorder (OUD); community reinforcement approach (CRA); contingency management (CM); prescription digital therapeutic (PDT); reSET-O; therapeutic education system (TES)

Mesh:

Substances:

Year:  2020        PMID: 33146558     DOI: 10.1080/14737167.2021.1840357

Source DB:  PubMed          Journal:  Expert Rev Pharmacoecon Outcomes Res        ISSN: 1473-7167            Impact factor:   2.217


  10 in total

1.  Acceptability and Usability of a Reward-Based Mobile App for Opioid Treatment Settings: Mixed Methods Pilot Study.

Authors:  Steven L Proctor; Khary K Rigg; Allen Y Tien
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Review 2.  Adjunct Digital Interventions Improve Opioid-Based Pain Management: Impact of Virtual Reality and Mobile Applications on Patient-Centered Pharmacy Care.

Authors:  Hayam Y Giravi; Zack Biskupiak; Linda S Tyler; Grzegorz Bulaj
Journal:  Front Digit Health       Date:  2022-06-13

3.  Exploring Whether Addictions Counselors Recommend That Their Patients Use Websites, Smartphone Apps, or Other Digital Health Tools to Help Them in Their Recovery: Web-Based Survey.

Authors:  Tyler B Wray
Journal:  JMIR Form Res       Date:  2022-06-20

4.  Prospective Prediction of Lapses in Opioid Use Disorder: Protocol for a Personal Sensing Study.

Authors:  Hannah Moshontz; Alejandra J Colmenares; Gaylen E Fronk; Sarah J Sant'Ana; Kendra Wyant; Susan E Wanta; Adam Maus; David H Gustafson; Dhavan Shah; John J Curtin
Journal:  JMIR Res Protoc       Date:  2021-12-07

5.  Rewarding recovery: the time is now for contingency management for opioid use disorder.

Authors:  Steven L Proctor
Journal:  Ann Med       Date:  2022-12       Impact factor: 5.348

6.  Comparison of Healthcare Resource Utilization Between Patients Who Engaged or Did Not Engage With a Prescription Digital Therapeutic for Opioid Use Disorder.

Authors:  Fulton F Velez; Sam Colman; Laura Kauffman; Charles Ruetsch; Kathryn Anastassopoulos; Yuri A Maricich
Journal:  Clinicoecon Outcomes Res       Date:  2021-10-29

7.  Clinical Evaluation of Digital Therapeutics: Present and Future.

Authors:  Ki Young Huh; Jaeseong Oh; SeungHwan Lee; Kyung-Sang Yu
Journal:  Healthc Inform Res       Date:  2022-07-31

8.  Reduced Healthcare Resource Utilization in Patients with Opioid Use Disorder in the 12 Months After Initiation of a Prescription Digital Therapeutic.

Authors:  Fulton F Velez; Kathryn P Anastassopoulos; Samuel Colman; Neel Shah; Laura Kauffman; Sean M Murphy; Charles Ruetsch; Yuri A Maricich
Journal:  Adv Ther       Date:  2022-07-07       Impact factor: 4.070

9.  Comparison of GIS-based AHP and fuzzy AHP methods for hospital site selection: a case study for Prayagraj City, India.

Authors:  Ashutosh Kumar Tripathi; Sonam Agrawal; Rajan Dev Gupta
Journal:  GeoJournal       Date:  2021-05-28

10.  Sociodemographic and Clinical Characteristics Associated with Improvements in Quality of Life for Participants with Opioid Use Disorder.

Authors:  Assaf Gottlieb; Christine Bakos-Block; James R Langabeer; Tiffany Champagne-Langabeer
Journal:  Healthcare (Basel)       Date:  2022-01-16
  10 in total

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