Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Accepted for/Published in: JMIR mHealth and uHealth

Date Submitted: Dec 5, 2020
Date Accepted: May 7, 2021
Date Submitted to PubMed: May 8, 2021

The final, peer-reviewed published version of this preprint can be found here:

Mobile Apps for Drug–Drug Interaction Checks in Chinese App Stores: Systematic Review and Content Analysis

Shen C, Jiang B, Yang Q, Wang C, Lu KZ, Gu M, Yuan J

Mobile Apps for Drug–Drug Interaction Checks in Chinese App Stores: Systematic Review and Content Analysis

JMIR Mhealth Uhealth 2021;9(6):e26262

DOI: 10.2196/26262

PMID: 33962910

PMCID: 8277361

Mobile Apps for Drug-Drug Interaction (DDI) Check in Chinese App Stores: A Systematic Review and Content Analysis

  • Chunying Shen; 
  • Bin Jiang; 
  • Qilian Yang; 
  • Chengnan Wang; 
  • Kevin Z. Lu; 
  • Meng Gu; 
  • Jing Yuan

ABSTRACT

Background:

As the computerized drug-drug interaction (DDI) alert system is not widely implemented in China, healthcare providers are relying on mobile health (mHealth) apps as references for checking drug information such as DDI.

Objective:

The main objective of this study was to evaluate the quality and content of mHealth apps supporting DDI checking in Chinese App stores.

Methods:

A systematical review was carried out in October 2020, to identify mHealth apps providing DDI checking in both Chinese iOS and Android platforms. We extracted the Apps’ general information, scientific/clinical basis, and accountability, based on the multi-dimensional framework for evaluation of Apps. The quality of mHealth Apps was evaluated by using the Mobile App Rating Scale (MARS). Cohen's kappa statistics were used to evaluate the interrater agreement.

Results:

A total of seven apps met the selection criteria, only three included the citations. The mean MARS score was 3.69 out of 5 (95% Confidence Interval [CI]=3.34-4.04). The greatest variation was observed in the information section, ranging from 1.41 to 4.60. The functionality section showed the highest mean score of 4.05 (95% CI=3.71-4.40), whereas the engagement section resulted in the lowest average score of 3.16 (95% CI=2.81-3.51). For the overall MARS score, the Cohen interrater κ was 0.354 (95% CI, 0.236-0.473).

Conclusions:

This study systematically reviewed the mHealth Apps with DDI check feature in China. The majority of investigated Apps demonstrated high quality with accurate and comprehensive information on DDIs. However, a couple of Apps, which hit a huge number of downloads in Chinese Market, provided incorrect information. Given these Apps might be used by healthcare providers for checking potential DDIs, which creates a substantial threat to patient safety.


 Citation

Please cite as:

Shen C, Jiang B, Yang Q, Wang C, Lu KZ, Gu M, Yuan J

Mobile Apps for Drug–Drug Interaction Checks in Chinese App Stores: Systematic Review and Content Analysis

JMIR Mhealth Uhealth 2021;9(6):e26262

DOI: 10.2196/26262

PMID: 33962910

PMCID: 8277361

Download PDF


Request queued. Please wait while the file is being generated. It may take some time.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.