Literature DB >> 30227053

Mobile Medical Applications for Dosage Recommendation, Drug Adverse Reaction, and Drug Interaction: Review and Comparison.

Nur Amirah Apidi1, Muthu Kumar Murugiah2, Rajendran Muthuveloo3, Yee Chang Soh4, Vanni Caruso5, Rahul Patel5, Long Chiau Ming5.   

Abstract

BACKGROUND: There is a need for a collation and comparison of the content of the mobile medical applications (apps) to allow health care professionals to know precisely which app they can rely on to gain access to appropriate drugs references. This study aims to evaluate the features of mobile medical apps based on 3 major functions: Dosage recommendation, drug adverse Reaction, And Drug Interaction (DoReADI).
METHOD: A review and comparison of mobile apps available in Google's Play Store (Android system) and Apple's App Store (iOS system) were performed. The comparison was based on the availability of options, especially DoReADI functionalities. The assessment criteria were as follows: requirement for an Internet connection, subscription fee charged, size of app, dose recommendation, drug indication, dose calculator, drug picture, dose adjustment, pregnancy safety, interaction checker, interaction classification, clinical teaching advice, contraindicated drug, black box warning, adverse effect, contraindication or precaution, as well as toxicology and pharmacology information.
RESULTS: Eight mobile medical apps were included and used to compare their features and functionalities. The 4 apps that scored the highest (14/17 points) are: Lexicomp®, Epocrates®, Micromedex®, and Drugs.com ®. Lexicomp and Micromedex do not provide the image of the drug and have an access subscription fee. Epocrates does not provide interaction classification and clinical teaching advice, and occupies a large space in the memory to be installed. Meanwhile, My Blue Book® scored the lowest (9/17 points) because certain features such as toxicology information, drug interaction, clinical teaching advice, contraindicated drug, and black box warning were not included.
CONCLUSION: Based on the features assessment criteria of each mobile medical application, Lexicomp, Epocrates, Micromedex, and Drugs.com are the apps that scored the highest. Epocrates and Micromedex are useful for checking drug interactions. In addition, some of the apps have additional features for the DoReADI criteria, for example, dose calculator and interaction classification.

Entities:  

Keywords:  Micromedex; drug information; drug names; drug references; health informatics; mobile medical application; pharmacoinformatics

Year:  2017        PMID: 30227053     DOI: 10.1177/2168479017696266

Source DB:  PubMed          Journal:  Ther Innov Regul Sci        ISSN: 2168-4790            Impact factor:   1.778


  7 in total

1.  eHealth technologies assisting in identifying potential adverse interactions with complementary and alternative medicine (CAM) or standalone CAM adverse events or side effects: a scoping review.

Authors:  Jeremy Y Ng; Maryam Mooghali; Vanessa Munford
Journal:  BMC Complement Med Ther       Date:  2020-07-29

Review 2.  Mobile Health Apps on COVID-19 Launched in the Early Days of the Pandemic: Content Analysis and Review.

Authors:  Long Chiau Ming; Noorazrina Untong; Nur Amalina Aliudin; Norliza Osili; Nurolaini Kifli; Ching Siang Tan; Khang Wen Goh; Pit Wei Ng; Yaser Mohammed Al-Worafi; Kah Seng Lee; Hui Poh Goh
Journal:  JMIR Mhealth Uhealth       Date:  2020-09-16       Impact factor: 4.773

3.  Characterization of the gut microbiota among Veterans with unique military-related exposures and high prevalence of chronic health conditions: A United States-Veteran Microbiome Project (US-VMP) study.

Authors:  Maggie A Stanislawski; Christopher E Stamper; Kelly A Stearns-Yoder; Andrew J Hoisington; Diana P Brostow; Jeri E Forster; Teodor T Postolache; Christopher A Lowry; Lisa A Brenner
Journal:  Brain Behav Immun Health       Date:  2021-09-14

Review 4.  Mobile Health Apps Providing Information on Drugs for Adult Emergency Care: Systematic Search on App Stores and Content Analysis.

Authors:  Sebastián García-Sánchez; Beatriz Somoza-Fernández; Ana de Lorenzo-Pinto; Cristina Ortega-Navarro; Ana Herranz-Alonso; María Sanjurjo
Journal:  JMIR Mhealth Uhealth       Date:  2022-04-20       Impact factor: 4.947

5.  Preference and usage pattern of mobile medical apps for drug information purposes among hospital pharmacists in Sarawak, Malaysia.

Authors:  Boon Phiaw Kho; Sheng Ming Andy Wong; Jin Wei Timothy Chiu; Eon Liew
Journal:  BMC Med Inform Decis Mak       Date:  2022-07-29       Impact factor: 3.298

6.  Medical Prognosis of Infectious Diseases in Nursing Homes by Applying Machine Learning on Clinical Data Collected in Cloud Microservices.

Authors:  Alberto Garcés-Jiménez; Huriviades Calderón-Gómez; José M Gómez-Pulido; Juan A Gómez-Pulido; Miguel Vargas-Lombardo; José L Castillo-Sequera; Miguel Pablo Aguirre; José Sanz-Moreno; María-Luz Polo-Luque; Diego Rodríguez-Puyol
Journal:  Int J Environ Res Public Health       Date:  2021-12-16       Impact factor: 3.390

7.  The Impact of Using mHealth Apps on Improving Public Health Satisfaction during the COVID-19 Pandemic: A Digital Content Value Chain Perspective.

Authors:  Junwei Cao; Guihua Zhang; Dong Liu
Journal:  Healthcare (Basel)       Date:  2022-03-04
  7 in total

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