ReviewBMC medicine2015
Smartphone apps for calculating insulin dose: a systematic assessment.
Review in BMC medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 82 papers, 5 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
82 citing papers in PubMed, 5 syntheses or guidelines pooled it, 210 citations in OpenAlex.
- Pooled it
- Scope, Characteristics, Behavior Change Techniques, and Quality of Conversational Agents for Mental Health and Well-Being: Systematic Assessment of Apps.Journal of medical Internet research · 2023Pooled it
- Information Quality Frameworks for Digital Health Technologies: Systematic Review.Journal of medical Internet research · 2021Pooled it
- Methods and Evaluation Criteria for Apps and Digital Interventions for Diabetes Self-Management: Systematic Review.Journal of medical Internet research · 2020Pooled it
- Understanding factors affecting patient and public engagement and recruitment to digital health interventions: a systematic review of qualitative studies.BMC medical informatics and decision making · 2016Pooled it
- An information and communication technology-based centralized clinical trial to determine the efficacy and safety of insulin dose adjustment education based on a smartphone personal health record application: a randomized controlled trial.BMC medical informatics and decision making · 2017Trial
- Efficacy of a Web-Based Guided Recommendation Service for a Curated List of Readily Available Mental Health and Well-Being Mobile Apps for Young People: Randomized Controlled Trial.Journal of medical Internet research · 2017Trial
- The Mobile Insulin Titration Intervention (MITI) for Insulin Adjustment in an Urban, Low-Income Population: Randomized Controlled Trial.Journal of medical Internet research · 2015Trial
- Young adults' perceptions and experiences in using mobile apps and wearables for health: a qualitative study with public involvement.BMC public health · 2026Article
- 7. Diabetes Technology: Standards of Care in Diabetes-2026.Diabetes care · 2026Review
- Depression Self-Care Apps' Characteristics and Applicability to Older Adults: Systematic Assessment.Journal of medical Internet research · 2025Article
- 7. Diabetes Technology: Standards of Care in Diabetes-2025.Diabetes care · 2025Review
- Understanding the multilevel factors influencing the implementation of digital health interventions for supportive care in Adolescents and Young Adult (AYA) cancer survivorship: determinants of adopting mindfulness-based mobile applications.Implementation science communications · 2024Article
- Regulatory Standards and Guidance for the Use of Health Apps for Self-Management in Sub-Saharan Africa: Scoping Review.Journal of medical Internet research · 2024Article
- 7. Diabetes Technology: Standards of Care in Diabetes-2024.Diabetes care · 2024Review
- Prescription Precision: A Comprehensive Review of Intelligent Prescription Systems.Current pharmaceutical design · 2024Review
- Ideal automation for insulin management - with interpretation of risk ratio.The Lancet regional health. Western Pacific · 2023Article
- Device-supported automated basal insulin titration in adults with type 2 diabetes: a systematic review and meta-analysis of randomized controlled trials.The Lancet regional health. Western Pacific · 2023Article
- Problems and Barriers Related to the Use of Digital Health Applications: Scoping Review.Journal of medical Internet research · 2023Article
- The Effectiveness of an App (Insulia) in Recommending Basal Insulin Doses for French Patients With Type 2 Diabetes Mellitus: Longitudinal Observational Study.JMIR diabetes · 2023Article
22 more citing papers are in PubMed but not listed here.
Corrections and comments
- Commented on by
Authors and funding
5 authors at 4 institutions in 3 countries.
Funding
Abstract
backgroundMedical apps are widely available, increasingly used by patients and clinicians, and are being actively promoted for use in routine care. However, there is little systematic evidence exploring possible risks associated with apps intended for patient use. Because self-medication errors are a recognized source of avoidable harm, apps that affect medication use, such as dose calculators, deserve particular scrutiny. We explored the accuracy and clinical suitability of apps for calculating medication doses, focusing on insulin calculators for patients with diabetes as a representative use for a prevalent long-term condition.
methodsWe performed a systematic assessment of all English-language rapid/short-acting insulin dose calculators available for iOS and Android.
resultsSearches identified 46 calculators that performed simple mathematical operations using planned carbohydrate intake and measured blood glucose. While 59% (n = 27/46) of apps included a clinical disclaimer, only 30% (n = 14/46) documented the calculation formula. 91% (n = 42/46) lacked numeric input validation, 59% (n = 27/46) allowed calculation when one or more values were missing, 48% (n = 22/46) used ambiguous terminology, 9% (n = 4/46) did not use adequate numeric precision and 4% (n = 2/46) did not store parameters faithfully. 67% (n = 31/46) of apps carried a risk of inappropriate output dose recommendation that either violated basic clinical assumptions (48%, n = 22/46) or did not match a stated formula (14%, n = 3/21) or correctly update in response to changing user inputs (37%, n = 17/46). Only one app, for iOS, was issue-free according to our criteria. No significant differences were observed in issue prevalence by payment model or platform.
conclusionsThe majority of insulin dose calculator apps provide no protection against, and may actively contribute to, incorrect or inappropriate dose recommendations that put current users at risk of both catastrophic overdose and more subtle harms resulting from suboptimal glucose control. Healthcare professionals should exercise substantial caution in recommending unregulated dose calculators to patients and address app safety as part of self-management education. The prevalence of errors attributable to incorrect interpretation of medical principles underlines the importance of clinical input during app design. Systemic issues affecting the safety and suitability of higher-risk apps may require coordinated surveillance and action at national and international levels involving regulators, health agencies and app stores.
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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.