Background Patients with moderate‐to‐severe psoriasis require long‐term treatment, yet few trials compare outcomes beyond a short‐term induction period. Quantitative comparisons of long‐term outcomes in patients with psoriasis are limited. To our knowledge, no network meta‐analysis (NMA) of such data has been performed. Objective To compare novel systemic therapies, both biologic and non‐biologic, approved for moderate‐to‐severe psoriasis by conducting a systematic review (SR) and NMA of Psoriasis Area and Severity Index (PASI) outcomes measured at or around 1 year. Methods An SR was conducted to identify studies reporting PASI 75, PASI 90 and PASI 100 responses. Feasibility of an NMA on maintenance phase endpoints was assessed and sources of heterogeneity considered. Data appropriate for analysis were modelled using a Bayesian multinomial likelihood model with probit link. Wherever possible, data corresponding to an intention‐to‐treat approach with non‐responder imputation were used. Results Twenty‐four studies reporting outcomes at 40–64 weeks were identified, but heterogeneity in study design allowed synthesis of only 17. Four 52‐week randomized controlled trials (RCTs) comprised the primary analysis, which found brodalumab was significantly more efficacious than secukinumab, ustekinumab and etanercept. Secukinumab was also more efficacious than ustekinumab and both outperformed etanercept. In a secondary analysis, evidence from 13 additional studies and 4 further therapies (adalimumab, apremilast, infliximab and ixekizumab) was included by comparing long‐term outcomes from active interventions to placebo outcomes extrapolated from induction. Results were consistent with the primary analysis: brodalumab was most effective, followed by ixekizumab and secukinumab, then ustekinumab, infliximab and adalimumab. Etanercept and apremilast had the lowest expected long‐term efficacy. Results were similar when studies with low prior exposure to biological therapies were excluded. Conclusion Results suggest that brodalumab is associated with a higher likelihood of sustained PASI response, including complete clearance, at week 52 than comparators. Further long‐term active‐comparator RCT data are required to better assess relative efficacy across therapies.
Importance Innovative, online models of specialty-care delivery are critical to improving patient access and outcomes. Objective To determine whether an online, collaborative connected-health model results in equivalent clinical improvements in psoriasis compared with in-person care. Design, Setting, and Participants The Patient-Centered Outcomes Research Institute Psoriasis Teledermatology Trial is a 12-month, pragmatic, randomized clinical equivalency trial to evaluate the effect of an online model for psoriasis compared with in-person care. Participant recruitment and study visits took place at multicenter ambulatory clinics from February 2, 2015, to August 18, 2017. Participants were adults with psoriasis in Northern California, Southern California, and Colorado. The eligibility criteria were an age of 18 years or older, having physician-diagnosed psoriasis, access to the internet and a digital camera or mobile phone with a camera, and having a primary care physician. Analyses were on an intention-to-treat basis. Interventions Participants were randomized 1:1 to receive online or in-person care (148 randomized to online care and 148 randomized to in-person care). The online model enabled patients and primary care physicians to access dermatologists online asynchronously. The dermatologists provided assessments, recommendations, education, and prescriptions online. The in-person group sought care in person. The frequency of online or in-person visits was determined by medical necessity. All participants were exposed to their respective interventions for 12 months. Main Outcomes and Measures The prespecified primary outcome was the difference in improvement in the self-administered Psoriasis Area and Severity Index (PASI) score between the online and in-person groups. Prespecified secondary outcomes included body surface area (BSA) affected by psoriasis and the patient global assessment score. Results Of the 296 randomized participants, 147 were women, 149 were men, 187 were white, and the mean (SD) age was 49 (14) years. The adjusted difference between the online and in-person groups in the mean change in the self-administered PASI score during the 12-month study period was –0.27 (95% CI, –0.85 to 0.31). The difference in the mean change in BSA affected by psoriasis between the 2 groups was –0.05% (95% CI, –1.58% to 1.48%). Between-group differences in the PASI score and BSA were within prespecified equivalence margins, which demonstrated equivalence between the 2 interventions. The difference in the mean change in the patient global assessment score between the 2 groups was –0.11 (95% CI, –0.32 to 0.10), which exceeded the equivalence margin, with the online group displaying greater improvement. Conclusions and Relevance The online, collaborative connected-health model was as effective as in-person management in improving c...
This 12-month, pragmatic, randomized controlled equivalency trial evaluated whether an online, collaborative connected-health model results in equivalent improvements in quality of life compared with in-person care for psoriasis. Overall, 296 adults with physician-diagnosed psoriasis from ambulatory clinics were randomly assigned to either online or in-person care; all were analyzed for outcomes. In the online group, patients and primary care providers sought dermatologists' care directly and asynchronously online. The in-person group sought care face to face. Interventions did not allow blinding of participants; investigators were blinded during analysis. Across 12 months, for the online group, the mean AE standard deviation decline in Skindex-16 from baseline across follow-up visits was 9.02 AE 20.67 compared with 10.55 AE 23.50 for the in-person group. The difference in Skindex-16 between the two groups was e0.83 (95% confidence interval ¼ e5.18 to 3.51), and this was within the equivalence margin (AE7.0). For the online group, the mean AE standard deviation decline in Dermatology Life Quality Index was 1.64 AE 4.34 compared with 1.18 AE 4.77 for the in-person group. The difference in Dermatology Life Quality Index between the two groups was e0.45 (95% confidence interval ¼ e1.29 to 0.38) and was within the equivalence margin (AE2.5). In conclusion, the online model was as effective as inperson care in improving quality of life among psoriasis patients. This study was funded by the Patient-Centered Outcomes Research Institute and is registered on clinicaltrials.gov (NCT02358135).
Background: Many patients with chronic skin diseases lack regular access to dermatologists in the United States and suffer poor clinical outcomes. Introduction: We performed a 12-month randomized controlled trial to evaluate the impact of an online, collaborative connected health (CCH) model for psoriasis management on access to specialty care. Materials and Methods: The 300 enrolled patients were randomized to online or in-person care. We compared distance traveled as well as transportation and in-office waiting time between the two groups and obtained patient and provider perspectives on CCH. Results: At baseline, no differences existed between the groups in difficulties obtaining specialty care. Over 12 months, the mean (standard deviation [SD]) distance traveled to and from appointments was 174.8 (±577.4) km/person for the in-person group and 2.2 (±14.2) km/person for the online group (p = 0.0003). The mean (SD) time spent on transportation and in-office waiting for in-person appointments was 4.0 (±4.5) h/person for the in-person group and 0.1 (±0.4) h/person for the online group (p = 0.
Patient satisfaction is measured using either quantitative or qualitative methods. Quantitative methods result in standardized data that often does not capture the nuances of patient experience. In contrast, qualitative methodology is integral to gathering patient perspectives on patient care and satisfaction and should be included in future research models.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.