ArticleClinicoEconomics and outcomes research : CEOR2023
Cost-Effectiveness of Aripiprazole Tablets with Sensor versus Oral Atypical Antipsychotics for the Treatment of Schizophrenia Using a Patient-Level Microsimulation Modeling Approach.
Article in ClinicoEconomics and outcomes research : CEOR, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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
3 citing papers in PubMed, 4 citations in OpenAlex.
- Schizophrenia management: Systematic review of current medications and Phase-3 agents (2008-2024).Neuroscience applied · 2025Review
- The intersection of prescription drugs and medical devices: the evaluation and funding challenges of two categories of emerging health technologies.International journal of technology assessment in health care · 2024Article
- Editorial: Equitable digital medicine and home health care.Frontiers in public health · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: Strategies designed to track drug ingestion may improve medication adherence and clinical outcomes in adults with schizophrenia. This study aimed to estimate the cost-effectiveness of aripiprazole tablets with sensor (AS; Abilify MyCite Methods: An individual-level microsimulation was developed to generate individual trajectories using data from a phase 3b multicenter, open-label, mirror-image trial in adults with schizophrenia treated prospectively for 6 months with AS. The patient's clinical characteristics and outcomes were computed as a function of the Positive and Negative Syndrome Scale (PANSS) scores. Direct and indirect medical cost estimates were sourced from the literature; EuroQol 5-Dimensions (EQ-5D) utilities were derived using risk equations based on patient and clinical characteristics. Scenario analyses were also conducted to assess outcomes under the assumption of treatment durability over 12 months. Results: Over 12 months, AS showed a 12.2% improvement in PANSS score. AS had an incremental cost of $2168 and incremental cost savings of $22,343 from the payer and societal perspectives, respectively, with an incremental quality-adjusted life-year (QALY) gain of 0.0298 versus oral AAPs. Further, AS resulted in a 28.2% reduction in hospitalizations over 12 months. At a willingness-to-pay of $100,000 per QALY, the net monetary benefit over 12 months was $25,323 from the payer perspective. Under the assumption of the durability of the treatment effect of AS, the findings were similar to those of the base case analyses, though with greater cost savings and QALYs gained with AS. The results from the sensitivity analyses were consistent with those of the base case analysis. Conclusion: AS may be a cost-effective strategy, with lower costs and improved quality of life among patients with schizophrenia over 12 months, from the payer and societal perspectives.
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What 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.