ArticleJournal of medical Internet research2014
Evaluation of the accuracy of smartphone medical calculation apps.
Article in Journal of medical Internet research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.
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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
27 citing papers in PubMed, 1 synthesis or guideline pooled it, 84 citations in OpenAlex.
- The role of interdisciplinary research team in the impact of health apps in health and computer science publications: a systematic review.Biomedical engineering online · 2016Pooled it
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- Evaluation of Endo 10 mobile application as diagnostic tool in endodontics.Journal of clinical and experimental dentistry · 2023Article
- The impact of data from remote measurement technology on the clinical practice of healthcare professionals in depression, epilepsy and multiple sclerosis: survey.BMC medical informatics and decision making · 2021Article
- A Mobile Technology for Collecting Patient-Reported Physical Activity and Distress Outcomes: Cross-Sectional Cohort Study.JMIR mHealth and uHealth · 2020Article
- Pharmacological vs Exercise Stress Echocardiography for Detection of Cardiac Allograft Vasculopathy.Mayo Clinic proceedings. Innovations, quality & outcomes · 2020Article
- Article
- A validation study of a smartphone application for heart rate variability assessment in asymptomatic adults.American journal of cardiovascular disease · 2020Article
- Mobile phone apps for clinical decision support in pregnancy: a scoping review.BMC medical informatics and decision making · 2019Article
- Smartphones in clinical practice: doctors' experience at two Dublin paediatric teaching hospitals.Irish journal of medical science · 2018Article
- Physiotherapy Questionnaires App to Deliver Main Musculoskeletal Assessment Questionnaires: Development and Validation Study.JMIR rehabilitation and assistive technologies · 2018Article
- A validation study of a smartphone application for functional mobility assessment of the elderly.Hong Kong physiotherapy journal : official publication of the Hong Kong Physiotherapy Association Limited = Wu li chih liao · 2016Article
- Breadth of Coverage, Ease of Use, and Quality of Mobile Point-of-Care Tool Information Summaries: An Evaluation.JMIR mHealth and uHealth · 2016Article
- Characterization of Apps and Other e-Tools for Medication Use: Insights Into Possible Benefits and Risks.JMIR mHealth and uHealth · 2016Article
- Mobile telephone apps in mental health practice: uses, opportunities and challenges.BJPsych bulletin · 2015Article
- Evaluation of symptom checkers for self diagnosis and triage: audit study.BMJ (Clinical research ed.) · 2015Article
- A UK perspective on smartphone use amongst doctors within the surgical profession.Annals of medicine and surgery (2012) · 2015Article
- Incorporating smartphones into clinical practice.Annals of medicine and surgery (2012) · 2015Article
- Smartphone Applications for the Clinical Oncologist in UK Practice.Journal of cancer education : the official journal of the American Association for Cancer Education · 2015Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMobile phones with operating systems and capable of running applications (smartphones) are increasingly being used in clinical settings. Medical calculating applications are popular mhealth apps for smartphones. These include, for example, apps that calculate the severity or likelihood of disease-based clinical scoring systems, such as determining the severity of liver disease, the likelihood of having a pulmonary embolism, and risk stratification in acute coronary syndrome. However, the accuracy of these apps has not been assessed.
objectiveThe objective of this study was to evaluate the accuracy of smartphone-based medical calculation apps.
methodsA broad search on Google Play, BlackBerry World, and the iTunes App Store was conducted to find medical calculation apps for smartphones. The list of apps was narrowed down based on inclusion and exclusion criteria focusing on functions thought to be relevant by a panel of general internists (number of functions =13). Ten case values were inputted for each function and were compared to manual calculations. For each case, the correct answer was assigned a score of 1. A score for the 10 cases was calculated based on the accuracy of the results for each function on each app.
resultsWe tested 14 apps and 13 functions for each app if that function was available. We conducted 10 cases for each function for a total of 1240 tests. Most functions tested on the apps were accurate in their results with an overall accuracy of 98.6% (17 errors in 1240 tests). In all, 6 of 14 (43%) apps had 100% accuracy. Although 11 of 13 (85%) functions had perfect accuracy, there were issues with 2 functions: the Child-Pugh scores and Model for End-Stage Liver Disease (MELD) scores on 8 apps. Approximately half of the errors were clinically significant resulting in a significant change in prognosis (8/17, 47%).
conclusionsThe results suggest that most medical calculating apps provide accurate and reliable results. The free apps that were 100% accurate and contained the most functions desired by internists were CliniCalc, Calculate by QxMD, and Medscape. When using medical calculating apps, the answers will likely be accurate; however, it is important to be careful when calculating MELD scores or Child-Pugh scores on some apps. Despite the few errors found, greater scrutiny is warranted to ensure full accuracy of smartphone medical calculator apps.
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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.