Proportion of inflammatory bowel diseases patients with suboptimal disease control in daily clinical practice-Real-world evidence from the inflammatory bowel diseases-podcast study.

BACKGROUND: Crohn's disease and ulcerative colitis (UC) are inflammatory bowel diseases (IBD) characterized by a progressive nature of the disease resulting in subsequent intestinal damage, limited efficacy of current treatments and suboptimal disease management and a significant burden for patients. OBJECTIVES: The IBD-PODCAST study aims to estimate the proportion of Crohn's disease and UC patients with suboptimal disease control (SDC) in a real-world setting. METHODS: A non-interventional and cross-sectional study was conducted across 103 sites in 10 countries (Austria, Belgium, Canada, Germany, Greece, Italy, Portugal, Spain, Turkey, and UK). Criteria for SDC were based on STRIDE-II criteria and adapted by an expert panel. RESULTS: 2185 patients (Crohn's disease: n = 1,108, UC: n = 1077) with a mean (SD) age of 44.0 (14.8) years and mean (SD) disease duration of 12.4 (9.2) years were included (52.2% male). Ileal involvement was present in 39.1% of Crohn's disease patients, 35.3% of UC patients had extensive colitis. 77.3% of Crohn's disease and 65.3% of UC patients were on targeted immunomodulators and, according to STRIDE-II-based treatment phases, 85.6% of Crohn's disease and 85.4% of UC patients were assigned to the long-term treatment phase. SDC was detected in 52.2% of Crohn's disease and 44.3% of UC patients predominantly due to impaired quality of life (QoL), clinically significant extraintestinal manifestations, steroid overuse, signs of active inflammation in UC and Crohn's disease, and active fistulas in Crohn's disease. More than one criterion was seen in 37% of patients with SDC. Opportunities for on-label treatment optimization were observed in 49% of Crohn's disease and 61% of UC patients on advanced therapy. CONCLUSION: The high percentage of SDC in this global, real-world cohort suggests a large disease burden and high unmet medical need in IBD patients. Future analysis should focus on monitoring and responding to SDC in this cohort and on patients' QoL.

Real-World Reductions in Healthcare Resource Utilization over 6 Months in Patients with Substance Use Disorders Treated with a Prescription Digital Therapeutic.

BACKGROUND AND AIMS: Substance use disorders (SUDs) affect approximately 40.3 million people in the USA, yet only approximately 19% receive evidence-based treatment each year. reSET® is a prescription digital therapeutic (PDT) and the only FDA-authorized treatment for patients with cocaine, cannabis, and stimulant use disorders. This study evaluated real-world healthcare resource utilization (HCRU) and associated costs 6 months after initiation of reSET in patients with SUD. METHODS: A retrospective analysis of HealthVerity PrivateSource20 data compared the 6-month incidence of all-cause hospital facility encounters and clinician services in patients treated with reSET (re-SET cohort) before (pre-index period) and after (post-index period) reSET initiation (index). Incidence was compared using incidence rate ratios (IRR). HCRU-related costs were also assessed. RESULTS: The sample included 101 patients (median age 37 years, 50.5% female, 54.5% Medicaid-insured). A statistically significant decrease of 50% was observed in overall hospital encounters from pre-index to post-index (IRR 0.50; 95% CI 0.37-0.67; P < 0.001), which included inpatient stays (56% decrease; IRR 0.44; 95% CI 0.26-0.76; P = 0.003), partial hospitalizations (57% decrease; IRR 0.43; 95% CI 0.21-0.88; P = 0.021), and emergency department visits (45% decrease; IRR 0.55; 95% CI 0.38-0.80; P < 0.004). Additionally, some clinician services declined significantly including pathology and laboratory services: other (54% decrease; IRR 0.46; 95% CI 0.28-0.76; P = 0.003); pathology and laboratory services: drug assays prior to opioid medication prescription (37% decrease; IRR 0.63; 95% CI 0.41-0.96; P = 0.031); and alcohol and drug abuse: medication services (46% decrease; IRR 0.54; 95% CI 0.41-0.70; P < 0.001). Reductions in facility-encounters drove 6-month reSET per-patient cost reductions of $3591 post-index compared to pre-index. CONCLUSIONS: Use of reSET by patients with SUD is associated with durable reductions in HCRU and lower healthcare costs over 6 months compared to the 6 months before PDT treatment, after adjusting for covariates, providing an economic benefit to the healthcare system.

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

BACKGROUND AND AIMS: reSET-O, an FDA-authorized prescription digital therapeutic (PDT) delivering cognitive behavioral therapy and contingency management to patients with opioid u®se disorder (OUD), may help improve clinical outcomes. One-year differences in healthcare resource utilization (HCRU) and costs post-PDT initiation were evaluated. METHODS: Retrospective analysis of healthcare claims data compared all-cause HCRU (across hospital facility encounters [sum of inpatient stays, treat-and-release emergency department [ED] visits, partial hospitalizations, and hospital outpatient department visits] and clinician services [procedure categories]) after PDT initiation (index) between reSET-O patients and controls. Overall and Medicaid-specific differences in HCRU, costs, and buprenorphine adherence were evaluated. FINDINGS: Cohorts included 901 reSET-O patients (median age 36 years, 62.4% female, 73.9% Medicaid) and 978 controls (median age 38 years, 51.1% female, 65.4% Medicaid). Compared to the control group, the reSET-O group experienced 12% fewer total unique hospital encounters (non-significant), driven by 28% fewer inpatient stays (IRR 0.72; 95% CI 0.55-0.96; P = 0.02), 56% fewer hospital readmissions [IRR 0.44; 95% CI 0.20-0.93; P = 0.033]), and 7% fewer ED visits (IRR 0.93; 95% CI 0.79-1.09; P = 0.386). Total clinician services increased by 1391 events versus controls. Differences were greater among the Medicaid patients. Adjustment for concomitant baseline substance use and mental health disorders resulted in similar HCRU incidence rate ratios. Changes in all-cause HCRU drove per-patient per-year cost differences of - $2791 versus controls (- $3832 versus Medicaid controls). Adjusted mean medication possession ratio was 0.848 (SE 0.0118) at 12 months for reSET-O patients, which was significantly higher than controls (0.761 [SE 0.0108]; P < 0.001). CONCLUSIONS: Use of reSET-O is associated with significant and durable real-world reductions in ED and inpatient (including readmissions) utilization, reduced net costs, and increased clinician services and buprenorphine adherence. Differences in costs versus controls were greatest among Medicaid patients. INFOGRAPHIC.

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

BACKGROUND: A prescription digital therapeutic (PDT) (reSET-O®) may expand access to behavioral treatment for patients with opioid use disorder (OUD) treated with buprenorphine, but long-term data on effectiveness are lacking. OBJECTIVE: To compare real-world healthcare resource utilization (HCRU) among patients who engaged with reSET-O and buprenorphine compared to similar patients in recovery treated with buprenorphine who did not fill their reSET-O script or engage with the PDT beyond week one. METHODS: A retrospective analysis of facility and clinical service claims data was conducted in adults with PDT initiation and between 12 weeks and 9 months of continuous enrollment in a health plan after initiation. Patients who filled their prescription and engaged with the therapeutic were compared to patients who filled the prescription but did not engage beyond week one (NE), and patients who did not fill the prescription (NR) (the latter two groups combined into one group hereafter referred to as "non-engagers"). Comparisons were analyzed using a repeated-measures negative binomial model of encounters/procedures, adjusted for number of days in each period. Associated cost trends assessed using current Medicare reimbursement rates. RESULTS: A total of 444 patients redeemed a prescription and engaged with the PDT (mean age 37.5 years, 63.1% female, 84% Medicaid), and 64 patients did not engage with the PDT (mean age 39.5 years, 32.8% female, 73.4% Medicaid). Total cost of hospital facility encounters was $2693 for engaged patients vs $6130 for non-engaged patients. Engaged patients had somewhat higher rates of certain clinician services. Total facility and clinician services costs for engaged vs non-engaged patients were $8733 vs $11,441, for a net cost savings over 9 months of $2708 per patient who engaged with reSET-O. CONCLUSION: Patients who engaged with an OUD-specific PDT had a net cost reduction for inpatient and outpatient services of $2708 per patient over 9 months compared to patients who did not engage with the PDT, despite similar levels of buprenorphine adherence.

Real-world changes in US health system hospital-based services following treatment with a prescription digital therapeutic for opioid use disorder.

Outcomes associated with buprenorphine therapy for the treatment of opioid use disorder (OUD) are suboptimal. reSET-O is an FDA-authorized prescription digital therapeutic (PDT) delivering neurobehavioral therapy via mobile devices to patients with OUD treated with buprenorphine. This analysis evaluated the net impact of reSET-O on medical costs among actively-engaged reSET-O patients using real-world observations. This real-world retrospective analysis of health care claims between October 2018 and October 2019 evaluated health care resource utilization up to 6 months before and 6 months after the initiation of a reSET-O prescription after accounting for the subset of patients not continuing on therapy after week 1 (non-engaged patients). Repeated-measures negative binomial models compared incidences of hospital-based encounters/procedures adjusted for days in each period as well as associated costs. The number needed to treat (NNT) to avoid an inpatient visit was calculated. Of the 351 patients who were prescribed reSET-O, 321 met the criteria of active engagement. Treatment with reSET-O was associated with a substantial reduction in medical costs of -$765,450 (-$2,385/patient, $235/patient greater than a previous analysis in which non-engaged patients were included) in the 6-month period after initiation. The gross reSET-O prescription cost of $584,415 ($1,665/patient) was substantially offset by $49,950 ($142.31/patient) in refunds to payers. The medical cost reduction in engaged patients offset the cost of the therapeutic resulting in an overall cost reduction of -$230,985 in this cohort (net savings of -$720 per patient). The number needed to treat to avoid an inpatient visit was 4.8. Engagement and continued treatment with reSET-O in patients with OUD treated with buprenorphine is associated with substantial real-world reductions in medical costs in the 6-month period following the initiation of the reSET-O prescription.

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

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.

A Large Cross-Sectional Survey Study of the Prevalence of Alopecia Areata in the United States.

PURPOSE: Alopecia areata (AA) is an autoimmune disease characterized by the development of non-scarring alopecia. The prevalence is not well known, and estimates vary considerably with no recent estimates in the United States (US). The objective of this study was to define the current AA point prevalence estimate among the general population in the US overall and by severity. PATIENTS AND METHODS: We administered an online, cross-sectional survey to a representative sample of the US population. Participants self-screening as positive for AA using the Alopecia Assessment Tool (ALTO) also completed the Severity of Alopecia Tool (SALT) to measure the severity of disease as a percent of scalp hair loss. Self-reported AA participants were invited to upload photographs for adjudication of AA by 3 clinicians. RESULTS: The average age of participants was 43 years. Approximately half of the participants (49.2%) were male, and the majority were white (77.1%) and not of Hispanic origin (93.2%). Among the 511 self-reported AA participants, 104 (20.4%) uploaded photographs for clinician evaluation. Clinician-adjudicated point prevalence of AA was 0.21% (95% CI: 0.17%, 0.25%) overall, 0.12% (95% CI: 0.09%, 0.15%) for "mild" disease (≤50% SALT score), and 0.09% (95% CI: 0.06%, 0.11%) for "moderate to severe" disease (>50% SALT score) with 0.04% (95% CI: 0.02%, 0.06%) for the alopecia totalis/alopecia universalis (100% SALT score) "moderate to severe" subgroup. The average SALT score was 44.4% overall, 8.8% for "mild", and 93.4% for "moderate to severe". CONCLUSION: This study suggests that the current AA prevalence in the US is similar to the upper estimates from the 1970s at approximately 0.21% (700,000 persons) with the current prevalence of "moderate to severe" disease at approximately 0.09% (300,000 persons). Given this prevalence and the substantial impact of AA on quality of life, the burden of AA within the US is considerable.

Urinary F2-isoprostanes in young healthy children at risk for type 1 diabetes mellitus.

Oxidative stress has been linked to many diseases, but little information exists on biomarkers of oxidative stress in healthy children. The purpose of this study was to describe factors that correlate with urinary F2-isoprostanes, an indicator of oxidative stress, and to establish normal concentrations of F2-isoprostanes in children at risk to develop type 1 diabetes mellitus. Creatinine-adjusted urinary F2-isoprostanes were assessed in 342 Denver children under the age of 7 years, from whom we had collected data during 769 clinic visits from August 1997 through January 2001 (mean 2.3 visits per child). Children were identified by newborn screening for HLA-markers, of varying degrees of prediction, for the development of type 1 diabetes. Plasma antioxidants and carotenoids, age at clinic visit, vitamin supplement use, exposure to environmental tobacco smoke, gender, and race were evaluated as correlates to the degree of oxidative stress, using mixed models for longitudinal data. F2-isoprostane levels were highest in infancy and decreased nonlinearly until 7 years. Female gender, HLA-DR3/4 genotype, higher plasma gamma-tocopherol:total lipids ratio, and lower alpha-carotene:total lipids ratio correlated with higher F2-isoprostane levels. Normal values in this healthy population can be used as the basis for future studies of disease mechanisms involving oxidative stress.