The Use of Data Collected from mHealth apps to inform Evidence-based Quality Improvement: An Integrative Review: Using data from mHealth apps to inform Evidence-based Quality Improvement

Emma Radbron, Val Wilson, Tanya McCance, Rebekkah Middleton

Research output: Contribution to journalArticle

Abstract

Background: The global acceptance and use of technology in healthcare has resulted in an abundance of mobile health (mHealth) applications (apps) available for use in the delivery and improvement of care. With so many apps available to patients and clinicians, it is important to understand how data from apps is being used to inform quality improvement in practice.
Aim: The aim of this integrative review is to establish current knowledge of how mHealth apps are used to produce data to inform quality improvement in healthcare.
Method: Scopus, Web of Science, CINAHL and Medline Plus Full Text databases were searched for peer-reviewed papers written in English. The inclusion criteria comprised full text, empirical research studies relating to mobile health application use (not development) in clinical care.
Results: 19 studies met inclusion criteria. The functions of the apps outlined in the studies can be summarised into four different categories; communication, illness management, clinical management and education/information. The types of data collected by the apps included numerical, textual, photographic, and graphical with several apps able to collect a variety of data types. Analysis of the studies showed that although data collection is rarely outlined as the explicit purpose of mHealth apps, data collected through such technology is and can be used to inform practice change both in real-time and retrospectively.
Linking Evidence to Action: This review highlights while this is an emerging area, data obtained from mHealth apps can and is being used to inform quality improvement in healthcare. Further research is required in this area to adequately understand how data from mHealth apps can be used to produce quality improvement, specifically in relation to nursing. This review also highlights a need for the development of apps that aim to capture data to inform quality improvement, particularly from the patient perspective.
LanguageEnglish
Article numberWVN-18-079.R2
Pages70-77
Number of pages8
JournalWorldviews on Evidence-Based Nursing
Volume16
Issue number1
DOIs
Publication statusAccepted/In press - 24 Sep 2018

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Mobile Applications
Telemedicine
Quality Improvement
Delivery of Health Care
Technology
Information Management
Empirical Research
Nursing
Communication
Databases
Education
Research

Keywords

  • Nursing practice
  • Quality improvement
  • Quality of care
  • Quality of service
  • Technology
  • Primary Health Care
  • informatics
  • Information Technology
  • Evidence-based practice
  • Descriptive analysis
  • mHealth
  • app
  • data (or data collection)
  • health care
  • integrative review

Cite this

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title = "The Use of Data Collected from mHealth apps to inform Evidence-based Quality Improvement: An Integrative Review: Using data from mHealth apps to inform Evidence-based Quality Improvement",
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author = "Emma Radbron and Val Wilson and Tanya McCance and Rebekkah Middleton",
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The Use of Data Collected from mHealth apps to inform Evidence-based Quality Improvement: An Integrative Review : Using data from mHealth apps to inform Evidence-based Quality Improvement. / Radbron, Emma; Wilson, Val; McCance, Tanya; Middleton, Rebekkah.

In: Worldviews on Evidence-Based Nursing , Vol. 16, No. 1, WVN-18-079.R2, 24.09.2018, p. 70-77.

Research output: Contribution to journalArticle

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