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Background Historical vaccination coverage in economically disadvantaged, ethnic minority, non-affluent white and agricultural populations in the US has lagged coverage in more affluent urban and suburban white populations due to a variety of social and economic factors. In the current COVID-19 pandemic, sociocultural and economic challenges continue to present significant obstacles to achieving equitable uptake of COVID-19 vaccines. The goal of this study was to qualitatively assess perceptions of key US healthcare stakeholders of the most significant barriers to COVID-19 vaccine access and equity to better characterize their expected impact on US communities. Methods After conducting a targeted literature review (TLR), we hypothesized 20 high-impact barriers which included structural and logistical barriers, capturing systemic challenges to vaccine accessibility, and attitudinal and informational barriers, affecting patient willingness to pursue vaccination. We developed a qualitative discussion guide, which included both open-ended and closed-ended questions, and interview stimulus material to conduct one-on-one in-depth interviews to assess the expected prevalence, severity, and persistence of these 20 high-impact barriers, which were hypothesized based on TLR. As a part of this qualitative study, we conducted one-on-one in-depth interviews with a diverse set of 15 US healthcare stakeholders who were involved in the COVID-19 vaccine rollout in states with relatively disparate vaccination rates by ethnicity. These stakeholders were selected to reflect an array of roles in the COVID-19 vaccine rollout, including infectious disease specialists, pharmacists, community advocacy representatives, and partners of local governments involved in the COVID-19 vaccine rollout and community education. Results Respondents identified limited vaccination sites in rural settings and technology-related barriers as the most prevalent and severe structural and logistical barriers in US communities. Respondents assessed COVID-19 vaccine safety concerns and politically motivated skepticism to be the most prevalent and severe attitudinal and informational barriers. Respondents cited proliferation of mobile vaccination clinics and local community messaging to endorse vaccines as the most effective solutions to these top structural and attitudinal barriers. Respondents expected politically motivated skepticism to be the most significant and persistent barrier to broader vaccine uptake in the US. Conclusions Our study suggests that attitudinal barriers, particularly politically motivated skepticism, are likely to remain the most persistent challenges to widespread vaccination against COVID-19 in the US.

Previous studies have assessed the incremental economic burden of treatment-resistant depression (TRD) versus non-treatment-resistant major depressive disorder (i.e., non-TRD MDD) in commercially-insured and Medicaid-insured patients, but none have focused on Medicare-insured patients. To assess healthcare resource utilization (HRU) and costs of patients with TRD versus non-TRD MDD or without major depressive disorder (MDD; i.e., non-MDD) in a Medicare-insured population. Adult patients were retrospectively identified from the Chronic Condition Warehouse de-identified 100% Medicare database (01/2010-12/2016). MDD was defined as ≥1 MDD diagnosis and ≥1 claim for an antidepressant. Patients initiated on a third antidepressant following two antidepressant treatment regimens of adequate dose and duration were considered to have TRD. The index date was defined as the date of the first antidepressant claim for the TRD and non-TRD MDD cohorts, and as a randomly imputed date for the non-MDD cohort. Patients with TRD were matched 1:1 to non-TRD MDD patients and randomly selected non-MDD patients based on propensity scores. Analyses were also performed for a subset of patients aged ≥65. Of 29,543 patients with MDD, 3,225 (10.9%) met the study definition of TRD; 157,611 were included in the non-MDD cohort. Matched patients with TRD and non-TRD MDD were, on average, 58.9 and 59.0 years old, respectively. The TRD cohort had higher per-patient-per-year (PPPY) HRU than the non-TRD MDD (e.g., inpatient visits: incidence rate ratio [IRR] = 1.36) and non-MDD cohorts (e.g., inpatient visits: IRR = 1.84, all P<0.001). The TRD cohort had significantly higher total PPPY healthcare costs than the non-TRD MDD cohort ($25,517 vs. $20,425, adjusted cost difference = $3,385) and non-MDD cohort ($25,517 vs. $14,542, adjusted cost difference = $4,015, all P<0.001). Similar results were found for the subset of patients ≥65. Among Medicare-insured patients, those with TRD had higher HRU and costs compared to those with non-TRD MDD and non-MDD.

Background Rett syndrome (RTT) is a neurodevelopmental disorder that almost exclusively affects females and is associated with high clinical burden. However, literature characterizing the real-world journey of patients with RTT is limited. This study provided an overview of the epidemiology, patient characteristics, clinical manifestations, healthcare resource utilization (HRU), costs, and treatment patterns of patients with RTT in the US. Methods IQVIA™ Medical Claims Data and Longitudinal Prescription Data (11/01/2016–10/31/2019) were used to identify female patients with RTT, with the first observed diagnosis defined as the index date. Annual incidence and prevalence of RTT were assessed over the entire study period; clinical manifestations, all-cause and RTT-related HRU and costs, and treatment patterns were evaluated during the observation period—from the index date to end of clinical activity or end of data availability, whichever occurred first. Results were further stratified into pediatric (< 18 years) and adult (≥ 18 years) subgroups. Results In 2019, prevalence and incidence of RTT was 0.32 and 0.23 per 10,000 enrollees, respectively. Among 5,940 female patients (pediatric: 3,078; adult: 2,862) with mean observation period of 2.04 years, the most prevalent clinical manifestations were neurological disorders (72.8%), gastrointestinal/nutritional disorders (41.9%), and orthopedic disorders (34.6%). The incidence rate of all-cause HRU was 44.43 visits per-patient-per-year and RTT-related HRU comprised 47% of all-cause HRU. Mean all-cause healthcare costs were $40,326 per-patient-per-year, with medical costs driven by home/hospice care visits, therapeutic services, outpatient visits, and inpatient visits. RTT-related healthcare costs comprised 45% of all-cause healthcare costs. The most prevalent supportive therapy and pharmacologic agent were feeding assistance (37.9%) and antiepileptic drugs (54.8%), respectively. Trends were similar by subgroup; although, rates of HRU were generally higher among pediatric patients relative to adult patients (all-cause: 52.43 and 35.86, respectively), which translated into higher mean healthcare costs (all-cause: $45,718 and $34,548, respectively). Conclusions Patients with RTT have substantial disease burden, including prevalent clinical manifestations, high rates of HRU and annual healthcare costs, and reliance on pharmacologic and supportive therapies. These findings underscore the unmet need for effective therapies to target the multifactorial manifestations of RTT.

Background Once-monthly paliperidone palmitate (PP1M) is a long-acting injectable antipsychotic that may increase adherence rates, reduce hospitalizations, and lower medical costs compared to oral atypical antipsychotics (OAAs) among schizophrenia patients. However, the impact of PP1M in recently diagnosed patients remains unknown. The present study compared adherence, healthcare resource utilization and Medicaid spending between schizophrenia patients initiating PP1M versus OAA, among patients recently diagnosed (defined using ages 18–25 years as a proxy) and among the overall population. Methods Medicaid data from five states (09/2008–03/2015) were used to identify adults with schizophrenia initiated on PP1M or OAAs (index date) on or after 09/2009. Outcomes were compared between PP1M and OAA groups following inverse probability of treatment weighting (IPTW). Univariate linear and Poisson regression models with nonparametric bootstrap procedures were used to compare the 12-month healthcare resource utilization and costs using rate ratios (RRs) and mean monthly cost differences (MMCDs), respectively. Results Overall, patients initiated on PP1M ( N  = 2053) were younger (mean age: 41 vs. 44 years) and had more baseline antipsychotic use (88% vs. 62%) compared to OAA patients ( N  = 22,247). IPTW resulted in balanced baseline characteristics. Among recently diagnosed patients, PP1M was associated with better adherence (PDC ≥ 80%: 29% vs. 21%, P  < 0.001) on the index medication as well as less use of other psychiatric medications, compared to OAAs. Adherence findings were similar for the overall cohort. Among recently diagnosed patients, lower medical costs associated with PP1M (MMCD = $-466; P  = 0.028) outweighed the higher pharmacy costs (MMCD = $322; P  < 0.001) resulting in similar total healthcare costs across groups (MMCD = $-144; P  = 0.553). Overall, findings were similar but there was a trend toward a lower magnitude of medical cost savings (MMCD = $-286; P  < 0.001). Reductions in medical costs were mainly driven by reductions in inpatient days (recently diagnosed RR = 0.85, P  = 0.353; overall RR = 0.84, P  = 0.004) and in home care visits (recently diagnosed RR = 0.43, P  = 0.008; overall RR = 0.78, P  = 0.048). Conclusions PP1M patients demonstrated significantly lower medical costs offsetting higher pharmacy costs relative to OAA patients. Recently diagnosed patients using PP1M may have greater medical cost savings relative to OAAs than that observed in the overall population, highlighting the potential economic impact of PP1M in adults recently diagnosed with schizophrenia.

Background Daratumumab, a CD38 monoclonal antibody, has demonstrated efficacy as monotherapy and combination therapy across several indications, both among newly-diagnosed and refractory patients with multiple myeloma (MM). However, there is limited evidence on treatment patterns and effectiveness of daratumumab in the real-world setting, particularly in first line (1 L). This study aimed to describe real-world treatment patterns and clinical outcomes among patients initiating daratumumab across different lines of therapy. Methods A retrospective chart review of adult patients with MM initiating daratumumab between November 2015 and March 2021 was conducted at two clinical sites in the United States. De-identified patient-level data were abstracted in an electronic case report form. Patient characteristics and treatment patterns were described. Clinical outcomes including overall response rate (ORR), progression-free survival, and time to next line of therapy were reported using descriptive statistics and stratified by line of therapy (1 L, second line [2 L] or third line or later [3 L+]). A sub-group analysis evaluated treatment patterns and ORR among patients re-treated with daratumumab. Results A total of 299 patients were included in the study (mean age: 68 years; 55% male). Among them, 26 were 1 L patients, 66 were 2 L patients, and 207 were 3 L+ patients; 110 patients (36.8%) received a stem cell transplant prior to daratumumab initiation. The mean duration of follow-up was 10 months among 1 L patients and 19 months among 2 L and 3 L+ patients. Patients who initiated daratumumab in 1 L had a 100% ORR, while those initiating in 2 L and 3 L+ had an ORR of 78.8 and 65.2%, respectively. Among re-treated patients, ORR was 66.7% during the first treatment segment, and 52.9% during the second treatment segment. Kaplan-Meier rates of progression-free survival at 12 months were 89.9, 75.2, and 53.1% among patients who initiated daratumumab in 1 L, 2 L, and 3 L+, respectively. Kaplan-Meier rates of time to next line of therapy at 12 months were 94.1, 73.4, and 50.0% among patients who initiated daratumumab in 1 L, 2 L, and 3 L+, respectively. Conclusions These findings suggest that daratumumab-based regimens are an effective treatment option across all lines of therapy, with highest response rate in 1 L.

Pulmonary arterial hypertension (PAH) poses a substantial burden, including hospitalizations. This study assessed the impact of treatment escalation on rehospitalization. The Komodo Research Data (10/2015–03/2022) was used to identify adults with ≥ 1 PAH-related hospitalization ( index: first hospitalization). Patients on monotherapy pre-index were assigned to the Escalation-to-combination cohort (treatment added ≤ 90 days post-index) or the Monotherapy cohort (no treatment change ≤ 90 days post-index). A sensitivity analysis was conducted among all patients who were treated pre-index. Entropy balancing was used to create cohorts with similar characteristics. All-cause hospitalizations per-patient-per-month (PPPM) during ≤ 12 months post-index were compared across balanced cohorts. A total of 203 and 1252 patients were included in the Escalation-to-combination and Monotherapy cohorts, respectively (mean age: 61 vs. 62 years; 67% vs. 68% female); most received PDE5i monotherapy pre-index (65.3% vs. 75.9%). Post-index, 84.5% of the Escalation-to-combination cohort increased to dual therapy, most commonly PDE5i + ERA (39.4%) and PDE5i + PPA (24.7%). Rehospitalization was lower in the Escalation-to-combination than Monotherapy cohort (incidence rate ratio [95% confidence interval]: 0.69 [0.55–0.90]; p < 0.001); the sensitivity analysis yielded similar results. Treatment escalation was associated with a lower rehospitalization rate, suggesting that earlier escalation and broader use of combination therapy may reduce PAH burden.

Medication non-adherence can result in poor health outcomes. Understanding differences in adherence rates to non-vitamin K oral anticoagulants (NOACs) could guide treatment decisions and improve clinical outcomes among patients with non-valvular atrial fibrillation (NVAF). To compare adherence to rivaroxaban and apixaban among the overall NVAF population and subgroups of prior oral anticoagulant (OAC) users (e.g., multiple comorbidities, non-adherence risk factors). Using healthcare claims from the Truven Health Analytics MarketScan (7/2012-7/2015), adult patients with ≥2 dispensings of rivaroxaban or apixaban ≥ 180 days apart with > 60 days of supply, ≥ 6 months of pre- and post-index eligibility, ≥ 1 atrial fibrillation diagnosis pre- or on the index date, and without valvular involvement were identified. Propensity-score methods adjusting for potential baseline confounders were used to create matched cohorts of rivaroxaban and apixaban patients. Adherence was assessed during the implementation phase using the percentage of patients with proportion of days covered (PDC) ≥0.8 at 6 months. Subgroups of patients with prior OAC use were evaluated; additional subgroups were identified and evaluated by Quan-Charlson Comorbidity index ≥2 and presence of non-adherence risk factors (i.e., mental disorders, stress, isolation, and rheumatoid arthritis). A total of 13,890 NVAF subjects were included in each of the 2 matched cohorts. All baseline characteristics were balanced between cohorts. At 6 months, significantly more rivaroxaban users were adherent to treatment compared to apixaban users (81.8% vs. 78.0%; absolute difference of 3.8%; p<.001). Rivaroxaban users had significantly higher adherence rates in all subgroups examined. Rivaroxaban users had consistently higher adherence rates than apixaban users overall and among all NVAF subgroups examined.

The prevalence of sarcopenia in patients with obesity varies according to the definition used. The purpose of our study was to: (i) determine the prevalence of sarcopenia in terms of lean tissue mass in older women with obesity using the current cut-offs, (ii) redefine a specific cut-off for low lean tissue mass (LLTM), and (iii) re-determine the prevalence of LLTM using this new cut-off. Appendicular lean mass (ALM) and the ALM index [ALM/height 2 : ALMI(h 2 )] and ALMI/body mass index [ALMI(BMI)] were determined in 791 women with or without obesity. LLMM prevalence was calculated using the current cut-offs: EWGSOP2: ALM < 15 kg and ALMI(h 2 ) < 5.5 kg/m 2 ; FNIH: ALM < 15.02 kg and ALMI(BMI) < 0.51; and IWGS: ALMI(h 2 ) < 5.67 kg/m 2 and cut-offs newly determined from data provided from young women with obesity. ALM, ALMI(h 2 ) and ALMI(BMI) were lower in older compared to young obese women. Using the current cut-offs, a wide distribution of LLTM prevalence (0 to 29.2%) was observed. When the newly determined cut-offs were applied – i.e., ALM < 18.51 kg; ALMI(h 2 ) < 7.15 kg/m 2 , ALMI(BMI) < 0.483, and T-score: [(ALMI(h 2 ) measured)-(2.08 + 0.183*BMI)]/0.72] − the LLTM mass prevalence was 17.37%; 8.47, 14.8 and 12.71%. respectively. This study showed that the current cut-offs for LLTM as criteria for sarcopenia diagnosis are not adapted to the obese population. Although the new “static” cut-offs appeared to be more adapted, a “dynamic” cut-off for ALMI(h 2 ) that took into account the BMI and thus the obesity severity appeared even more relevant.

Background Biologics have revolutionized the management of psoriasis, but response to treatment varies. Loss of treatment efficacy may occur over time, requiring treatment switching or escalation. Claims data on persistence may be informative of real-world treatment outcome. This analysis described persistence and rates of remission of patients with psoriasis initiated on current biologics. Methods Adults with psoriasis initiated (index date) on guselkumab, adalimumab, secukinumab, or ixekizumab between 07/13/2017 and 07/31/2020 were identified in the IBM MarketScan Databases. Discontinuation (or end of persistence) was defined as gaps in index biologic supply of more than twice the labelled dosing interval or mode days of supply (> 120 days for guselkumab and > 60 days for adalimumab, secukinumab, and ixekizumab). The proportion of patients reinitiating index therapy post-discontinuation and the proportion achieving remission (proxy definition: no claims for psoriasis-related treatment post-discontinuation among patients with ≥ 6 months of follow-up post-discontinuation) were assessed. Results There were 3408 patients in the guselkumab (mean age: 47.9 years old; female: 47.1%), 8017 in the adalimumab (47.4 years old; 54.1%), 6123 in the secukinumab (49.4 years old; 54.2%), and 3728 in the ixekizumab cohorts (49.1 years old; 50.3%). The median time to discontinuation was 26.2 months in the guselkumab cohort and 9.9, 12.4, and 12.5 months in adalimumab, secukinumab, and ixekizumab cohorts, respectively. Among those who discontinued index therapy, 22.9% in the guselkumab cohort and 21.1%, 31.9%, and 32.0% in the adalimumab, secukinumab, and ixekizumab cohorts reinitiated it. Remission rates were 17.2% in the guselkumab cohort and 12.4%, 10.5%, and 9.0% in adalimumab, secukinumab, and ixekizumab cohorts, respectively. Conclusions Patients on guselkumab showed trends toward better persistence and higher remission rates relative to other biologics. Finding patients who may be in remission suggests potential disease modification with current agents.

Patients with schizophrenia often struggle with medication adherence and may benefit from the use of a long-acting injectable antipsychotic, including once-monthly paliperidone palmitate (PP1M), which was previously demonstrated to improve outcomes compared with oral antipsychotics. This study assessed the impact of initiating PP1M therapy on medication adherence, health care resource use (HRU), and costs among Medicaid beneficiaries with schizophrenia and a prior schizophrenia relapse. A 6-state Medicaid database (from quarter 1 of 2009 to quarter 1 of 2018) was used to identify adults with ≥2 schizophrenia diagnoses who started PP1M therapy on or after January 1, 2010. The index date was the first PP1M claim. Patients had ≥12 months of continuous Medicaid enrollment before and after the index date, ≥1 oral antipsychotic claim in the 12 months before the index date, and ≥1 relapse (proxied as a schizophrenia-related inpatient admission or emergency department [ED] visit) during the 12 months before the index date. Generalized estimating equations were used to compare adherence to antipsychotics (proportion of days covered ≥80%), HRU, and costs (reported in 2018 US dollars) in the 12 months after versus before the index date. Sensitivity analyses were conducted (1) accounting for the minimum and cumulative price inflation Medicaid rebates for pharmacy costs of branded psychiatric medications, (2) among patients with ≥2, ≥3, and ≥4 prior schizophrenia-related inpatient admissions or ED visits, (3) among patients not adherent to antipsychotic treatment before the index date, and (4) among patients switching to PP1M directly from oral risperidone or paliperidone. A total of 1725 patients met the study inclusion criteria (mean age, 39.5 years; 43% female). After versus before the index date, patients were 93% more likely to be adherent to antipsychotic treatment (P < 0.01). The likelihood of inpatient admissions and ED visits decreased by 89% and 49% (all P < 0.01) after initiating PP1M therapy. The number of inpatient days decreased by 31% (P < 0.01) and the number of ED visits by 16% (P = 0.03). Pharmacy costs increased by $514 per-patient-per-month (PPPM), whereas medical costs, driven by inpatient costs, decreased by $391 PPPM (all P < 0.01). Sensitivity analyses yielded similar trends. Notably, total health care cost savings of $231 PPPM were observed after accounting for the cumulative Medicaid rebate for costs of branded psychiatric medications (P < 0.01). In Medicaid beneficiaries with relapsed schizophrenia, transitioning from oral antipsychotics to PP1M was associated with improved adherence to antipsychotics and decreased use of inpatient and ED services. Increased pharmacy costs after the initiation of PP1M were offset by decreased medical costs. After applying the cumulative Medicaid rebate, including the price inflation rebate for costs of branded psychiatric medications, initiation of PP1M therapy resulted in statistically significant health care cost savings. •Transition to once-monthly paliperidone palmitate (PP1M) was associated with improved adherence to antipsychotic therapy.•Inpatient and emergency room service use decreased following PP1M initiation.•Long term care use increased following PP1M initiation.•Higher pharmacy costs after PP1M initiation were offset by lower medical costs.