Digital Health Applications (apps)

Inclusion of a search filter on this site is not an endorsement of its validity or a recommendation for its use by the editors of this site, by the InterTASC Information Specialists SubGroup or by the (UK) National Institute for Health and Care Excellence (NICE). For suggestions on the appraisal of filters see the ISSG Search Filter Appraisal Checklist.

This page shows publications that have reviewed search filter performance and individual search filters.

Please note that other filter sites/filter collections may have relevant filters for this topic.

Publications that review search filter performance

No performance reviews have been identified.

Individual search filters


Database indexing changes over time and new vocabulary may be introduced.  With older filters, please check the subject indexing to ensure that the subject indexing is still current and, if not, consider whether new vocabulary may need to be added to the filter. Please note that if filters are amended, the performance may change from that published in the original articles and the filter should be reported as amended from the original filter.

See also AI page on this site for artificial intelligence filters.

Embase

Ayiku L, Hudson T, Glover S, Walsh N, Adams R, Deane J, et al. The NICE MEDLINE and Embase (Ovid) health apps search filters: development of validated filters to retrieve evidence about health apps. Int J Technol Assess Health Care. 2020 Oct 27; 37:e16.  doi: https://doi.org/10.1017/S026646232000080X  PMID: 33107420.  [Ovid]

Lynda Ayiku and colleagues are developing validated filters to retrieve evidence on AI medical device interventions [added 24 Oct 2021]

MEDLINE

 Ayiku L, Hudson T, Glover S, Walsh N, Adams R, Deane J, et al. The NICE MEDLINE and Embase (Ovid) health apps search filters: development of validated filters to retrieve evidence about health apps. Int J Technol Assess Health Care. 2020 Oct 27; 37:e16. DOI:  https://doi.org/10.1017/S026646232000080X PMID: 33107420.  [Ovid]

Lynda Ayiku and colleagues are developing validated filters to retrieve evidence on AI medical device interventions [added 24 Oct 2021]