Evidence map›Paper›PMID 32547809›Full record

ArticleHealthcare informatics research2020

Qualitative and Quantitative Analysis of Definitions of e-Health and m-Health.

David Hallberg, Narges Salimi

Abstract read
In one paragraph

Article in Healthcare informatics research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–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

21 citing papers in PubMed.

  1. Article
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  10. Digital health tools for pain monitoring in pediatric oncology: a scoping review and qualitative assessment of barriers and facilitators of implementation.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2023
    Article
  11. Article
  12. Digital Well-being Through the Use of Technology-A Perspective.International journal of MCH and AIDS · 2023
    Article
  13. Challenges in the Adoption of eHealth and mHealth for Adult Mental Health Management-Evidence from Romania.International journal of environmental research and public health · 2022
    Article
  14. Going digital - a commentary on the terminology used at the intersection of physical activity and digital health.European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity · 2022
    Article
  15. Article
  16. Article
  17. Article
  18. Chronic pain through COVID.Frontiers in pain research (Lausanne, Switzerland) · 2022
    Article
  19. Article
  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

2 authors.

David HallbergDepartment of Communication, Faculty of Letters and Humanities, University of Douala, Douala, Cameroon.ORCID https://orcid.org/0000-0002-5394-0173
Narges SalimiEitiCol Networks, Jönköping, Sweden.ORCID https://orcid.org/0000-0003-2822-0067

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesSkills to employ nursing informatics to promote the health of individuals is of such importance that it is considered a core competence. Although investments are made to increase the use of e-health, there is no full understanding of the usability of e-health for healthcare. This paper presents a current picture of how e-health and m-health are defined and used as well as the effects their usage may have on the intended target group.

methodsPeer-reviewed open-access papers and grey literature that define e-health and m-health from PubMed, SpringerLink, and Google.com were randomized. A mixed method design with an inductive approach was employed. Open-source software were used for analysis.

resultsThe overview includes 30 definitions of e-health and m-health, respectively. The definitions were thematised into 14 narrative themes. The results of the study, and primarily a three-level model, provide an understanding of how different types of e-health and m-health can be put into practice, and the effects or consequences of using them, which may be either positive or negative.

conclusionsMobility and flexibility is important for both m-health and e-health. Five keywords that characterize the definitions of e-health and m-health are "health", "mobile", "use", "information", and "technology". E-health or m-health cannot replace human actors because e-health and m-health consist of social and material interactions. Using e-health and m-health is, thus, about developing healthcare without compromising native relics.

Indexed as

Data MiningHealth Information ExchangeHealth Information SystemsMeaningful UseTerminology as Topic

Identifiers

PMID32547809
PMCPMC7278507

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.