ArticlePharmacoEconomics2009
Comparing the cost effectiveness of risperidone and olanzapine in the treatment of schizophrenia using the net-benefit regression approach.
Article in PharmacoEconomics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 3 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Systematic Literature Review of the Methods Used to Compare Newer Second-Generation Agents for the Management of Schizophrenia: A focus on Health Technology Assessment.PharmacoEconomics · 2015Pooled it
- The estimation of utility weights in cost-utility analysis for mental disorders: a systematic review.PharmacoEconomics · 2013Pooled it
- A review and critique of studies reporting utility values for schizophrenia-related health states.PharmacoEconomics · 2010Pooled it
- On the Use of Markov Models in Pharmacoeconomics: Pros and Cons and Implications for Policy Makers.Frontiers in public health · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
To estimate the cost effectiveness of olanzapine and risperidone for the treatment of schizophrenia in Belgium. Data were retrieved from a prospective, observational, non-randomized, follow-up survey. Clinical investigators assigned 265 patients with schizophrenia to either olanzapine (n = 136) or risperidone (n = 129). Patients were followed up for 2 years. Total healthcare costs were determined from the public payer perspective and calculated by multiplying resource use with official tariffs; effectiveness of the drugs was measured with the EQ-5D. This study uses a net-benefit regression approach to accommodate for baseline differences between treatment groups and uncertainty. Total 2-year costs were very similar for patients receiving risperidone and olanzapine (euro20 915.33 and euro20 569.69, respectively; p = 0.925) [year 2002 values]. The health condition of the patients receiving risperidone was better than that of patients receiving olanzapine but not significantly so (1.46 and 1.41, respectively; p = 0.191). Simple ordinary least squares (OLS) regressions indicated that, for lambda = euro40 000, we could not reject the null hypothesis that the drugs provide similar net monetary benefits to the patient (risperidone vs olanzapine euro2046.95; p = 0.656). When we controlled for several patient characteristics, risperidone moved further away from olanzapine but the difference did not reach statistical significance (risperidone vs olanzapine euro3198.07; p = 0.595). Numerous sensitivity analyses confirmed the robustness of the results. Results of this study suggest that it is important to control for baseline patient characteristics when performing a cost-effectiveness analysis. No significant difference in net monetary benefit was found between risperidone and olanzapine.
Indexed as
Identifiers
19178125What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.