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Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: Dec 16, 2019
Date Accepted: Feb 29, 2020

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

Medical Mobile App Classification Using the National Institute for Health and Care Excellence Evidence Standards Framework for Digital Health Technologies: Interrater Reliability Study

Nwe K, Larsen ME, Nelissen N, Wong DCW

Medical Mobile App Classification Using the National Institute for Health and Care Excellence Evidence Standards Framework for Digital Health Technologies: Interrater Reliability Study

J Med Internet Res 2020;22(6):e17457

DOI: 10.2196/17457

PMID: 32501271

PMCID: 7305556

Inter-rater reliability of medical mobile application classification using the NICE evidence standards framework for digital health technologies

  • Khine Nwe; 
  • Mark Erik Larsen; 
  • Natalie Nelissen; 
  • David Chi-Wai Wong

ABSTRACT

Background:

Clinical governance of medical mobile applications is challenging, and there is currently no standard method for assessing the quality of such apps. In 2018, the National Institute of Health and Care Excellence (NICE), developed a framework for assessing the required level of evidence for digital healthcare technologies (DHT), as determined by their clinical function. The framework can potentially be used to assess mobile applications, which are a subset of DHTs. To be used reliably in this context, the framework must allow unambiguous classification of an app’s clinical function.

Objective:

The objective of this study was to determine whether mobile health apps could be reliably classified using the NICE evidence standards framework for digital health technologies.

Methods:

We manually extracted app titles, screenshots, and content descriptions for all apps listed on the NHS Apps Library website on 12 Jul 2019; none of the apps were downloaded. Using this information, two mHealth researchers independently classified each app to one of the four function Tiers {1,2,3a,3b} described in the NICE digital technologies evaluation framework. Coders also answered contextual questions from the framework to identify whether apps were deemed to be higher risk. Classification agreement was assessed using Cohen’s kappa.

Results:

In total, we assessed 76 apps from the NHS apps library. The reviewers agreed in 42 (55%) cases. Of these, no (0) apps were in Tier 1, 24 were in Tier 2, 15 in Tier 3a and 3 in Tier 3b. There was disagreement between coders in 34 cases (45%); inter-rater agreement was poor (Cohen’s kappa κ = 0.32 (95%CI: 0.16-0.47)). Further investigation of disagreements highlighted five main explanatory themes: apps that did not correspond to any tier; apps that corresponded to multiple tiers; ambiguous tier descriptions; ambiguous app descriptions; and coder error.

Conclusions:

The current iteration of the NICE digital technologies evaluation framework for digital health technologies did not allow mHealth researchers to consistently and unambiguously classify digital health mobile apps listed on the NHS app library according to their functional tier.


 Citation

Please cite as:

Nwe K, Larsen ME, Nelissen N, Wong DCW

Medical Mobile App Classification Using the National Institute for Health and Care Excellence Evidence Standards Framework for Digital Health Technologies: Interrater Reliability Study

J Med Internet Res 2020;22(6):e17457

DOI: 10.2196/17457

PMID: 32501271

PMCID: 7305556

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