Evidence map›Paper›PMID 34356267›Full record

ReviewHealthcare (Basel, Switzerland)2021

Application of Smartphone Technologies in Disease Monitoring: A Systematic Review.

Jeban Chandir Moses, Sasan Adibi, Sheikh Mohammed Shariful Islam, Nilmini Wickramasinghe, Lemai Nguyen

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Healthcare (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 4 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

39 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Trial
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Jeban Chandir MosesSchool of Information Technology, Deakin University, 1 Gheringhap St, Geelong, VIC 3220, Australia.ORCID 0000-0002-4628-8850
Sasan AdibiSchool of Information Technology, Deakin University, 1 Gheringhap St, Geelong, VIC 3220, Australia.
Sheikh Mohammed Shariful IslamInstitute for Physical Activity and Nutrition (IPAN), Deakin University, Burwood, VIC 3125, Australia.ORCID 0000-0001-7926-9368
Nilmini WickramasingheIverson Health Innovation Research Institute, Swinburne University of Technology, Hawthorn, VIC 3122, Australia.
Lemai NguyenDepartment of Information Systems and Business Analytics, Deakin Business School, 221 Burwood Highway, Burwood, VIC 3125, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Technologies play an essential role in monitoring, managing, and self-management of chronic diseases. Since chronic patients rely on life-long healthcare systems and the current COVID-19 pandemic has placed limits on hospital care, there is a need to explore disease monitoring and management technologies and examine their acceptance by chronic patients. We systematically examined the use of smartphone applications (apps) in chronic disease monitoring and management in databases, namely, Medline, Web of Science, Embase, and Proquest, published from 2010 to 2020. Results showed that app-based weight management programs had a significant effect on healthy eating and physical activity (

Indexed as

chronic diseaseCOVID-19disease managementdisease monitoringmobile solutionspatient-generated health datasmartphone applicationstechnologytechnology acceptancewearable sensors

Identifiers

PMID34356267
PMCPMC8303662

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.