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Rates of Inpatient Hospitalizations Across a 2-Year Time Horizon Between reSET-O and Control Patients: A Difference in Differences Approach
- Neel Shah, Rowan Mahon, Sean M. Murphy, Fulton F. Velez, Yuri Maricich
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- Journal:
- CNS Spectrums / Volume 28 / Issue 2 / April 2023
- Published online by Cambridge University Press:
- 14 April 2023, p. 228
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Introduction
reSET-O® is an FDA-authorized prescription digital therapeutic (PDT) for opioid use disorder (OUD) providing cognitive behavioral therapy as an adjunct to buprenorphine therapy. This analysis describes differences in inpatient hospitalization rates over a 2-year period between patients treated with the PDT and those who were not.
MethodsA real-world claims analysis using the HealthVerity Private Source 20 database compared inpatient hospitalization rates (including intensive care unit stays and rehospitalizations) in patients who filled a reSET-O prescription (“cases”) to patients not filling their prescription (“controls”). Index date was date of reSET-O initiation for cases, and prescription date for controls, from January 1, 2019 to June 30, 2020. Pre- and post-index incidence rates of HCRU were compared with the incidence rate ratio (IRR) using a repeated-measures negative binomial model, adjusted for age, sex, region, payer type, Charlson comorbidity index (CCI) score, and number of similar services in the 12 months pre-index with an offset for number of days in the 12-month post-index period. Adjusted differences in inpatient hospitalizations in cases vs. controls were evaluated at 3-month intervals beginning at 12 months pre-index through 12 months post-index, using a difference in differences (DID) approach.
ResultsIn this analysis, 901 cases (median age 36 years, 62.4% female, 73.9% Medicaid recipients, 95% treated with buprenorphine in the post-index period) were compared with 978 controls (median age 38 years, 55.1% female, 65.4% Medicaid recipients, 95% treated with buprenorphine in the post-index period). Incidence rate ratios of inpatient stays trended lower in later pre-post comparison periods among cases (IRRs 0.80, 0.95, 0.87, and 0.75 at 3-, 6-, 9-, and 12 months pre-post, respectively), and trended higher in later pre-post periods in controls (IRRs 0.93, 0.83, 0.86, 0.88 at 3-, 6-, 9-, and 12-month intervals respectively). The DID for controls vs. cases during the 12-month post interval compared to the 12-month pre-index rates, represented a 44% lower incidence of inpatient hospitalizations vs. controls between the first and last quarters of observation.
ConclusionsThis difference in difference analysis showed a lower 12-month pre-post incidence rate ratio of inpatient hospitalizations for patients using reSET-O vs. controls, and a 24-month change in quarterly inpatient hospitalizations in reSET-O patients that was almost half that of controls.
FundingPear Therapeutics (US), Inc.
Digital CBT-I Treatment Improves Sleep and Reduces Anxiety and Depression Symptoms in Adults With Chronic Insomnia: Interim Analysis of DREAM Study
- Charles Morin, Frances P Thorndike, Joseph M. Ojile, Robert Gerwien, Angela Wendorf, Yuri A Maricich
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- Journal:
- CNS Spectrums / Volume 28 / Issue 2 / April 2023
- Published online by Cambridge University Press:
- 14 April 2023, pp. 227-228
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Introduction
Chronic insomnia (CI) often co-occurs with depression and anxiety, and treatment may positively impact mood. This ongoing study collected real-world data on changes in insomnia, depression, and anxiety symptoms among adults with CI treated with a prescription digital therapeutic (PDT) delivering cognitive-behavioral therapy for insomnia (CBT-I; Somryst®, previously SHUTi).
MethodsThis prospective, single-arm, pragmatic clinical study enrolled adults (≥18 years) in the US with CI and mobile device access. The PDT consists of six core modules completed over 6–9 weeks. In this interim analysis, participants completed the Insomnia Severity Index (ISI), 8-item Patient Health Questionnaire (PHQ-8), and Generalized Anxiety Disorder-7 scale (GAD-7) and other self-reported outcomes—at screening (baseline/prior to Core 1), end of treatment (Day 63), and 6-month follow-up (Day 243).
ResultsMean ISI scores decreased (p<0.0001) from baseline (n=991) to post-treatment (n=777;18.8 vs 11.3) and to Day 243 (n=193; 18.8 vs 12.1). Mean GAD-7 scores improved from baseline to Day 63 (n=744; p<0.0001, Cohen’s d = 0.48) and to Day 243 (n=186; p<0.0001, d = 0.45). Similarly, PHQ-8 scores improved from baseline to Day 63 (n=747; p<0.001, d = 0.76) and to Day 243 (n=186; p<0.0001, d = 0.60). These patterns persisted across baseline anxiety and depressive severity levels among people with any baseline depressive or anxiety symptoms (all p<0.05 for depression, all p<0.0001 for anxiety), with large effect sizes observed for severe anxiety (d=1.43 Day 63, d=1.55 Day 243) and for moderate to severe depression (d range = 0.96-1.51).
ConclusionIn this study, treatment with digital CBT-I was associated with significant reductions in ISI, anxiety, and depression at posttreatment and at 6 months. The largest observed decreases in GAD-7 and PHQ-8 scores were among people with more severe baseline mood symptoms.
FundingPear Therapeutics (US), Inc.
Reduced Healthcare Resource Utilization in Patients With Chronic Insomnia 24 Months After Treatment With Digital CBT-I: A Matched-Control Study
- Felicia Forma, Tyler Knight, Rebecca Baik, Matthew Wallace, Dan Malone, Xiaorui Xiong, Fulton Velez, Frances Thorndike, Yuri Maricich
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- Journal:
- CNS Spectrums / Volume 28 / Issue 2 / April 2023
- Published online by Cambridge University Press:
- 14 April 2023, pp. 228-229
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Introduction
This analysis examined the impact of a digital therapeutic for treating chronic insomnia (currently marketed as Somryst®, at the time called Sleep Healthy Using The internet [SHUTi]) on healthcare resource use (HCRU) by comparing patients treated with the digital cognitive behavioral therapy for insomnia (dCBTi) to patients not treated with dCBTi, but with insomnia medications.
MethodsA retrospective observational study using health claims data was conducted in two cohorts across the United States: patients who registered for dCBTi (cases) between June 1, 2016 and October 31, 2018 (index date) vs. patients who did not register for dCBTi but initiated a second prescription for an insomnia medication in the same time period (controls). Observation period was 16–24 months. No other inclusion/exclusion criteria were used. Control patients were matched using a nearest neighbor within-caliper matching without replacement approach. Incidence rates for HCRU encounter type were calculated using a negative binomial model for both cohorts. Costs were estimated by multiplying HCRU by published average costs for each medical resource.
ResultsEvaluated were 248 cases (median age 56.5 years, 57.3% female, 52.4% treated with sleep-related medications) and 248 matched controls (median age 55.0 years, 56.0% female, 100.0% treated with sleep-related medications). Over the course of 24 months post-initiation, cases had significantly lower incidences of inpatient stays (55% lower, IRR: 0.45; 95% CI: 0.28–0.73; P=0.001), significantly fewer emergency department (ED) visits without inpatient admission (59% lower; IRR: 0.41; 95% CI: 0.27–0.63; P<0.001), and significantly fewer hospital outpatient visits (36% lower; IRR: 0.64; 95% CI: 0.49–0.82; P<0.001). There was also a trend for fewer ambulatory surgical center visits (23% lower; IRR: 0.77; 95% CI: 0.52–1.14; P=0.197) and fewer office visits (7% lower; IRR: 0.93; 95% CI: 0.81–1.07; P=0.302) with the use of SHUTi. Use of sleep medications was more than four times greater in controls vs. cases, with 9.6 (95% CI: 7.88–11.76) and 2.4 (95% CI: 1.91–2.95) prescriptions/patient, respectively (P<0.001). All-cause per-patient HCRU costs were $8,202 lower over 24 months for cases vs. controls, driven primarily by a lower incidence of hospitalizations (-$4,996 per patient) and hospital outpatient visits (-$2,003 per patient).
ConclusionsPatients with chronic insomnia who used a digital CBTi treatment had significant and durable real-world reductions in hospital inpatient stays, ED visits, hospital outpatient visits, and office visits compared to matched controls treated with medications.
FundingPear Therapeutics (US), Inc.
Outcomes from Engagement and Use of a Prescription Digital Therapeutic to Treat Opioid Use Disorder: A Real-World Pilot Study
- Steven C. Rozycki, Xiaorui Xiong, Paul Walter, Jessica Wright, Hilary F. Luderer, Stephen Braun, Yuri A. Maricich, James Purvis
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- Journal:
- CNS Spectrums / Volume 27 / Issue 2 / April 2022
- Published online by Cambridge University Press:
- 28 April 2022, pp. 237-238
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Introduction
The opioid epidemic in the United States is getting worse: in 2020 opioid overdose deaths hit an all-time high of 92,183. This underscored the need for more effective and readily available treatments for patients with opioid use disorder (OUD). Prescription digital therapeutics (PDTs) are FDA-authorized treatments delivered via mobile devices (eg, smartphones). A real-world pilot study was conducted in an outpatient addiction treatment program to evaluate patient engagement and use of a PDT for patients with OUD. The objective was to assess the ability of the PDT to improve engagement and care for patients receiving buprenorphine medication for opioid use disorder (MOUD).
MethodsPatients with OUD treated at an ambulatory addiction treatment clinic were invited to participate in the pilot. The reSET-O PDT is comprised of 31 core therapy lessons plus 36 supplementary lessons, plus contingency management rewards. Patients were asked to complete at least 4 lessons per week, for 12-weeks. Engagement and use data were collected via the PDT and rates of emergency room data were obtained from patient medical records. Data were compared to a similar group of 158 OUD patients treated at the same clinic who did not use the PDT. Abstinence data were obtained from deidentified medical records.
ResultsPilot participants (N = 40) completed a median of 24 lessons: 73.2% completed at least 8 lessons and 42.5% completed all 31 core lessons. Pilot participants had significantly higher rates of abstinence from opioids in the 30 days prior to discharge from the program than the comparison group: 77.5% vs 51.9% (P < .01). Clinician-reported treatment retention for pilot participants vs the comparison group was 100% vs 70.9% 30 days after treatment initiation (P < .01), 87.5% vs 55.1% at 90 days post-initiation (P < .01), and 45.0% vs 38.6% at 180 days post-initiation (P = .46). Emergency room visits within 90 days of discharge from the addiction program were significantly reduced in pilot participants compared to the comparison group (17.3% vs 31.7%, P < .01).
ConclusionsThese results demonstrate substantial engagement with a PDT in a real-world population of patients with OUD being treated with buprenorphine. Abstinence and retention outcomes were high compared to patients not using the PDT. These results demonstrate the potential value of PDTs to improve outcomes among patients with OUD, a population for which a significant need for improved treatments exists.
FundingTrinity Health Innovation and Pear Therapeutics Inc.