Background: Medical 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.
Methods: We performed a systematic assessment of all English-language rapid/short-acting insulin dose calculators available for iOS and Android.
Results: Searches 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.
Conclusions: The 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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http://dx.doi.org/10.1186/s12916-015-0314-7 | DOI Listing |
Objective: Our study aimed to investigate the therapeutic effects of the Kuntai capsule in improving ovarian function in rats with transplantation of cryopreserved ovary.
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ACS Chem Neurosci
January 2025
Department of Occupational Health, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi 030001, China.
Aluminum is a well-known and widely distributed environmental neurotoxin. This study aimed to investigate the effect of miR-98-5p targeting insulin-like growth factor 2 (IGF2) on aluminum neurotoxicity. Thirty-two Sprague-Dawley rats were randomly divided into four groups and administered 0, 10, 20, and 40 μmol/kg maltol aluminum [Al(mal)], respectively.
View Article and Find Full Text PDFActa Physiol (Oxf)
February 2025
Department of Medical Cell Biology, Uppsala University, Uppsala, Sweden.
Aim: Somatostatin from pancreatic δ-cells is a paracrine regulator of insulin and glucagon secretion, but the release kinetics and whether secretion is altered in diabetes is unclear. This study aimed to improve understanding of somatostatin secretion by developing a tool for real-time detection of somatostatin release from individual pancreatic islets.
Methods: Reporter cells responding to somatostatin with cytoplasmic Ca concentration ([Ca]) changes were generated by co-expressing somatostatin receptor SSTR2, the G-protein Gα15 and a fluorescent Ca sensor in HeLa cells.
Food Sci Nutr
January 2025
Department of Horticulture and Food Security JKUAT Nairobi Kenya.
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December 2024
Department of Medical Affairs, Eris Lifesciences Ltd., Ahmedabad, IND.
Background Polycystic ovary syndrome (PCOS) poses a significant health concern among reproductive-aged women and is characterized by ovarian dysfunction, hyperandrogenism, and insulin resistance. This study aims to assess the efficacy and safety of metformin and myo-inositol combination therapy compared to metformin monotherapy in patients with PCOS. Materials and methods This was a phase III, double-blind, randomized controlled clinical trial.
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