Literature DB >> 30496130

Quality evaluation of smartphone applications for laboratory medicine.

Snežana Jovičić1,2, Joanna Siodmiak3, Ian D Watson4.   

Abstract

Background Many of the mobile applications (apps) used for delivering health interventions involve laboratory medicine data. This survey was conducted to search the online market for health apps that manage laboratory medicine data. The aim was to review them and perform a quality evaluation. Methods Apps search criteria were "Lab results blood work", "Lab results", and "Health apps". After the stepwise exclusion process, 52 selected apps were downloaded and analyzed. For review and content analysis of the apps, a multidimensional tool for classifying and rating the quality of mobile health apps - Mobile App Rating Scale (MARS), was used. Results Selected apps were classified into five categories according to their intended use by patients or physicians, and the type of data engaged. Spearman's correlation analysis found significant correlations between MARS individual scoring items, as with the subjective quality and number of technical aspects. Kruskal-Wallis analysis showed a significant difference in the number of technical aspects employed, MARS engagement and informational quality score items, total score, and subjective quality. The lowest values for all of these items were in the category of apps designed for patients, and the post hoc test showed that the difference was statistically significant between this and the values in all other categories. Conclusions Apps designed for patients, are of the poorest quality, considering the total quality of the content and information they provide, estimated using the MARS tool. This estimation needs to be validated for laboratory medicine apps, and eventually modified after consideration of specific quality benchmarks.

Entities:  

Keywords:  Mobile App Rating Scale (MARS); app; mobile health application; smartphone

Mesh:

Year:  2019        PMID: 30496130     DOI: 10.1515/cclm-2018-0710

Source DB:  PubMed          Journal:  Clin Chem Lab Med        ISSN: 1434-6621            Impact factor:   3.694


  3 in total

Review 1.  Mobile Applications (Apps) to Support the Hepatitis C Treatment: A Systematic Search in App Stores.

Authors:  Aline Teotonio Rodrigues; Camila Tavares Sousa; João Pereira; Isabel Vitória Figueiredo; Tácio de Mendonça Lima
Journal:  Ther Innov Regul Sci       Date:  2020-07-22       Impact factor: 1.778

2.  Model for Early Prediction of Preeclampsia: A Nested Case Controlled Study in Indian Women.

Authors:  Sonali Yadav; Sukhanshi Khandpur; Yogendra Singh Yadav; Madhu Mati Goel; Urmila Singh; Shankar Madhav Natu; Mahendra Pal S Negi; Lokendra Kumar Sharma; Swasti Tiwari
Journal:  J Obstet Gynaecol India       Date:  2021-06-29

Review 3.  Tools for Evaluating the Content, Efficacy, and Usability of Mobile Health Apps According to the Consensus-Based Standards for the Selection of Health Measurement Instruments: Systematic Review.

Authors:  Antonio Muro-Culebras; Adrian Escriche-Escuder; Jaime Martin-Martin; Cristina Roldán-Jiménez; Irene De-Torres; Maria Ruiz-Muñoz; Manuel Gonzalez-Sanchez; Fermin Mayoral-Cleries; Attila Biró; Wen Tang; Borjanka Nikolova; Alfredo Salvatore; Antonio Ignacio Cuesta-Vargas
Journal:  JMIR Mhealth Uhealth       Date:  2021-12-01       Impact factor: 4.773

  3 in total

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