Studies on
Recovery Cat
Overview: Recovery Cat is based on established, scientifically validated principles. We continuously evaluate our tools through research projects.
Below is a concise summary of our key publications – each in 3–4 bullet points – with links to the original scientific articles for further reading.
(Machleid et al., 2025) · SAGE Digital Health
Feasibility & Usability Study (90-day monitoring, multicenter) – Smartphone-based Remote Measurement-Based Care for Mental Health Conditions
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We demonstrate that implementing a flexible solution for measurement-based care in mental health is feasible.
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High adherence and regular use: 84.61% of participants completed more than 50% of daily entries; average interval between entries was 1.48 days.
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Excellent usability: Patient system usability score: 82.4 – corresponding to the top 10th percentile of the SUS benchmarking study by Lewis et al. 2018, Item Benchmarks for the System Usability Scale, UXPA Journal.
(Michnevich et al., 2025) · JMIR Mental Health
Results of the Systematic Review & Meta‑Analysis on Measurement‑Based Care (MBC)
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2,314 publications were screened; 89 studies included; 8 studies meta‑analyzed.
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Findings show that measurement‑based care interventions have positive effects on symptoms in manic episodes
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The data shows improvements in empowerment and self‑efficacy.
(Machleid et al., 2024) · PLOS ONE
Pre‑Registration & Protocol: Systematic Review & Meta‑Analysis on Measurement‑Based Care (MBC)
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Aim: systematically map and quantitatively assess the evidence landscape of MBC in mental health care.
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Endpoints: symptom change and recovery‑oriented outcomes.
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Pre‑registered protocol ensures maximum transparency and reproducibility.
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Serves as the scientific foundation for Recovery Cat and the meta-analysis mentioned above.
(Wiegmann et al., 2024) · Nervenheilkunde
Remote Measurement‑Based Care (RMBC) in the Treatment of Severe Mental Illness – Overview
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Review on continuous and digital symptom, side‑effect, and activity tracking to support clinical care.
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Findings show this approach enhances patient engagement and communication with clinicians.
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Comparison to psychotherapy feedback systems and Ecological Momentary Assessment (EMA).
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We discuss opportunities and implementation challenges, especially in severe mental illness (SMI).
(Machleid et al., 2024) · Nervenheilkunde
Mobile Health Technologies and Equitable Mental Health Care
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Review of mHealth’s potential to improve accessibility and quality of care amid long wait times and regional disparities.
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Highlights the risk of the digital divide: disadvantaged groups must not be left behind.
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Case examples illustrate how social and digital inequalities affect usage and outcomes.
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Advocates for integrating ethics and participatory design to ensure mobile health benefits everyone.
(Wiegmann et al., 2023) · Sage Digital Health
User‑Centered Development Study & Study Protocol (multicenter, controlled)
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We here report on the Developement following User‑Centered Design principles: interviews with patients, clinicians, and digital health experts to identify needs.
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This resulted in a digital highly flexible solution featuring individualized ePROs (electronic patient‑reported outcomes) as the core for personalized treatment to implement measurement-based care.
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We performed iterative prototype testing, design adjustments, and planning for a feasibility study.
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