8
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Are Published Health Economic Models for Chronic Hepatitis B Appropriately Capturing the Benefits of HBsAg Loss? A Systematic Literature Review

      review-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Objectives

          Sustained hepatitis B surface antigen (HBsAg) loss or ‘functional cure’ (FC) is considered an optimal treatment endpoint by international clinical guidelines for chronic hepatitis B (CHB), yet rarely is this achieved with current standard of care (SoC). This leads to an under-reporting of FC in clinical trials, observational studies and health economic (HE) models. This paper systematically identifies and assesses how FC is incorporated in published HE models of CHB.

          Methods

          A systematic literature review was conducted in PubMed and Embase (conducted February 2019) to review how HBsAg loss is captured in HE models. The following items were extracted: rate of (and transition probabilities to) HBsAg loss, HBsAg loss health state costs, and HBsAg loss health state utilities.

          Results

          Sixty-five economics evaluations were identified, and < 50% of these (27/65) incorporated HBsAg loss in their models. Only 15/27 stated HBsAg loss health state costs, 15/27 stated HBsAg loss health state utilities, and 11/27 mentioned treatment-specific transition probabilities to HBsAg loss. The majority of sources these inputs were derived from are not transparent.

          Conclusions

          The benefits of FC in current HE models are not well captured, as FC is often not reported or not directly related to modelled treatments. This has the potential for novel agents with higher efficacy compared with SoC to be overlooked and undervalued if their worth is not appropriately communicated. In order to ensure optimal access for patients to new and effective therapies, it is important that the benefits of FC are better assessed and captured within HE models.

          Electronic supplementary material

          The online version of this article (10.1007/s41669-019-00175-w) contains supplementary material, which is available to authorized users.

          Related collections

          Most cited references88

          • Record: found
          • Abstract: found
          • Article: found
          Is Open Access

          Outcomes associated with matching patients' treatment preferences to physicians' recommendations: study methodology

          Background Patients often express strong preferences for the forms of treatment available for their disease. Incorporating these preferences into the process of treatment decision-making might improve patients' adherence to treatment, contributing to better outcomes. We describe the methodology used in a study aiming to assess treatment outcomes when patients' preferences for treatment are closely matched to recommended treatments. Method Participants included patients with moderate and severe psoriasis attending outpatient dermatology clinics at the University Medical Centre Mannheim, University of Heidelberg, Germany. A self-administered online survey used conjoint analysis to measure participants' preferences for psoriasis treatment options at the initial study visit. Physicians' treatment recommendations were abstracted from each participant's medical records. The Preference Matching Index (PMI), a measure of concordance between the participant's preferences for treatment and the physician's recommended treatment, was determined for each participant at t1 (initial study visit). A clinical outcome measure, the Psoriasis Area and Severity Index, and two participant-derived outcomes assessing treatment satisfaction and health related quality of life were employed at t1, t2 (twelve weeks post-t1) and t3 (twelve weeks post-t2). Change in outcomes was assessed using repeated measures analysis of variance. The association between participants' PMI scores at t1 and outcomes at t2 and t3 was evaluated using multivariate regressions analysis. Discussion We describe methods for capturing concordance between patients' treatment preferences and recommended treatment and for assessing its association with specific treatment outcomes. The methods are intended to promote the incorporation of patients' preferences in treatment decision-making, enhance treatment satisfaction, and improve treatment effectiveness through greater adherence.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Combination of Tenofovir Disoproxil Fumarate and Peginterferon α-2a Increases Loss of Hepatitis B Surface Antigen in Patients With Chronic Hepatitis B.

            Patients chronically infected with the hepatitis B virus rarely achieve loss of serum hepatitis B surface antigen (HBsAg) with the standard of care. We evaluated HBsAg loss in patients receiving the combination of tenofovir disoproxil fumarate (TDF) and peginterferon α-2a (peginterferon) for a finite duration in a randomized trial.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Switching from entecavir to PegIFN alfa-2a in patients with HBeAg-positive chronic hepatitis B: a randomised open-label trial (OSST trial).

              Durable post-treatment response is uncommon in chronic hepatitis B (CHB) patients on nucleos(t)ide analogue therapy. Response, response predictors and safety were assessed in patients who switched from long-term entecavir (ETV) to peginterferon alfa-2a.
                Bookmark

                Author and article information

                Contributors
                peter.wigfield@ingress-health.com
                usbarigi@its.jnj.com
                mahmoud.hashim@ingress-health.com
                talitha.vincken@ingress-health.com
                bart.heeg@ingress-health.com
                Journal
                Pharmacoecon Open
                Pharmacoecon Open
                PharmacoEconomics Open
                Springer International Publishing (Cham )
                2509-4262
                2509-4254
                19 August 2019
                19 August 2019
                September 2020
                : 4
                : 3
                : 403-418
                Affiliations
                [1 ]Ingress-health Nederland, Hofplein 20, 3032 AC Rotterdam, The Netherlands
                [2 ]GRID grid.419619.2, ISNI 0000 0004 0623 0341, Janssen Pharmaceutica, ; Turnhoutseweg 30, 2340 Beerse, Belgium
                Author information
                http://orcid.org/0000-0002-5570-4895
                Article
                175
                10.1007/s41669-019-00175-w
                7426349
                31428938
                2205a0c0-6e4c-4661-add9-be14215c5c55
                © The Author(s) 2019

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License ( http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

                History
                Funding
                Funded by: Janssen Pharmaceutica NV, Belgium
                Categories
                Systematic Review
                Custom metadata
                © The Author(s) 2020

                Comments

                Comment on this article