Cited by 61E-Learning and COVID-19Mobile Health and mHealth ApplicationsHealth Education and Validation

The efficacy of microlearning in improving self-care capability: a systematic review of the literature

Open access
Wang, C., Bakhet, M., Roberts, D., Gnani, S., El-Osta, A.·2020·Public Health

Abstract

Objective To determine the effectiveness of microlearning in improving an individual's capability for self-care. Study design Systematic review of the literature. Background The routine adoption of health seeking self-care behaviours can prevent or delay the appearance of various lifestyle diseases including type 2 diabetes and cardiovascular disease. Microlearning delivers complex knowledge in fragments or bite-size 'nuggets' of information and has been applied as a novel intervention to improve individual's self-care capabilities. The aim of this research was to systematically review the literature to determine the effectiveness of microlearning in improving individual self-care capability. Methods A search was conducted on 15 July 2019 across five electronic bibliographic databases: EMBASE, MEDLINE, PsycINFO, CINAHL and Scopus. Randomised and non-randomised controlled trials, controlled before-after studies and interrupted time series studies, published between 1 January 1990 and 15 July 2019 and looking at individuals of all ages were included in the search. The search strategy included a keyword search and a string of "(modality) AND (learning) AND (micro)", which broadly described microlearning to cover all available articles that have used microformat learning interventions. The search was combined with keywords and Medical Subject Headings (MeSH) terms for self-care to identify studies of interests. Studies were screened by two reviewers independently and reported using a Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) flowchart. Data from included articles were extracted using Cochran Data Collection Form. Risk of bias was assessed using Version 2 of the Cochrane Risk-of-bias or Risk Of Bias In Non-Randomised Studies of Interventions (ROBINS-I). Results 1310 articles were identified in the initial search. A total of 26 manuscripts were included in the narrative synthesis after title and abstract and full text screening was performed by two reviewers. Outcomes of studies were categorised. A total of 23 studies measured cognitive level self-care capabilities-related changes, and 91% showed statistically significant improvements. Only 11 studies measured actual self-care behaviour changes, from which only 36% showed statistically significant results. From the 26 manuscripts included, 25 articles were evaluated as having moderate-to-high risk of bias. Conclusion Under certain conditions, or when combined with monitoring such as tracking daily medicine intake, microlearning can be effective in improving actual self-care behaviours. Microlearning can also positively influence individuals' cognitive self-care capabilities but was largely ineffective in triggering actual self-care behaviour change. More studies are needed to investigate the effectiveness of microlearning in improving self-care capabilities amongst the general population at scale.

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Crossref · 10.1016/j.puhe.2020.07.007

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Authors
Wang, C., Bakhet, M., Roberts, D., Gnani, S., & El-Osta, A.
Affiliations
Charing Cross Hospital (GB)
Corresponding author
El-Osta, A.
Venue
Public Health
Publisher
Elsevier BV
Published
2020-09
Volume
186
Pages
286-296
ISSN
0033-3506 (ISSN-L)
OpenAlex
W3082624039
Cited by
61
References
7
Citations by year
2026: 8 · 2025: 15 · 2024: 9 · 2023: 14 · 2022: 8 · 2021: 6 · 2020: 1
FWCI
2.31
Type
journal article
Language
en
Open access
Locations
  • Public Health (publishedVersion)
  • PubMed (publishedVersion)
  • UCL Discovery (University College London) (acceptedVersion)
Funders
  • National Institute for Health Research
  • NIHR
  • ARC
  • Department of Health
Topics
  • Social Sciences › Education › E-Learning and COVID-19
  • Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
  • Social Sciences › Education › Health Education and Validation
Keywords
microlearning, health education intervention, medication adherence, health-seeking behavior, risk of bias, lifestyle-related disease prevention, type 2 diabetes, cardiovascular disease prevention, digital health interventions, health literacy, patient safety, patient-centered care
MeSH terms
Humans, Learning, Self Care, Randomized Controlled Trials as Topic

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