ArticleJMIR mental health2020
A Patient-Centered Framework for Measuring the Economic Value of the Clinical Benefits of Digital Health Apps: Theoretical Modeling.
Article in JMIR mental health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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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.
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Who cites it
11 citing papers in PubMed, 21 citations in OpenAlex.
- Prescribing Experiences, Potentials, and Challenges of Digital Health Applications in the Field of Hormones and Metabolism: Cross-Sectional Survey Study of Health Care Providers in Germany.JMIR formative research · 2025Article
- An Overview on Methods, Evidence, and Study Quality of Health Economic Evaluation Studies for Independently Usable Digital Health Apps: Rapid Review.Journal of medical Internet research · 2025Review
- Cost-effectiveness analysis of mHealth applications for depression in Germany using a Markov cohort simulation.NPJ digital medicine · 2024Article
- Digital Mental Health for Schizophrenia and Other Severe Mental Illnesses: An International Consensus on Current Challenges and Potential Solutions.JMIR mental health · 2024Article
- Health Economic Evaluation of Cognitive Control Training for Depression: Key Considerations.JMIR mental health · 2023Article
- The Effect of the COVID-19 Pandemic on Digital Health-Seeking Behavior: Big Data Interrupted Time-Series Analysis of Google Trends.Journal of medical Internet research · 2023Article
- Covering digital health applications in the public insurance system: how to foster innovation in patient care while mitigating financial risks-evidence from Germany.Frontiers in digital health · 2023Review
- An Economic Impact Model for Estimating the Value to Health Systems of a Digital Intervention for Diabetes Primary Care: Development and Usefulness Study.JMIR formative research · 2022Article
- Moving to Personalized Medicine Requires Personalized Health Plans.Journal of participatory medicine · 2022Article
- Market access and value-based pricing of digital health applications in Germany.Cost effectiveness and resource allocation : C/E · 2022Review
- The growing field of digital psychiatry: current evidence and the future of apps, social media, chatbots, and virtual reality.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2021Article
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 at 2 institutions in 1 country.
Funding
Abstract
backgroundAs digital health tools such as smartphone apps evolve and enter clinical use, questions regarding their value must be addressed. Although there are scarce generalizable data on the value of health apps given their nascency and diverse use cases, it is possible to estimate the economic value of the clinical improvement they bring to patients using a quality-adjusted life-year (QALY)-based approach and generalized values from existing literature.
objectiveThis paper aims to provide a patient-centered framework for assessing the economic value of the clinical benefits delivered by digital health apps.
methodsWe proposed a model based upon 5 levers: country-specific monetary value of a QALY, QALYs lost due to the condition, engagement rate of app users, average effect size of the app's health impact, and duration of the app's impact before remission.
resultsUsing 2 digital health apps from the United States and United Kingdom as examples, we explored how this model could generate country-specific estimates of the economic value of the clinical benefits of health apps.
conclusionsThis new framework can help drive research priorities for digital health by elucidating the factors that influence the economic value.
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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.