Evidence map›Paper›PMID 29614114›Full record

ArticlePloS one2018

Innovative technologies and social inequalities in health: A scoping review of the literature.

Daniel Weiss, Håvard T Rydland, Emil Øversveen, Magnus Rom Jensen, Solvor Solhaug, Steinar Krokstad

Abstract readScoping Review
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 113 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
113citing papers in PubMed, 3 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

113 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Digital behaviour change interventions to increase vegetable intake in adults: a systematic review.The international journal of behavioral nutrition and physical activity · 2023
    Pooled it
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  15. Investigating the early uptake of digital self-management interventions amongst Dutch cancer survivors using nationwide registry data-the OncoAppstore case.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
    Article
  16. Article
  17. Inequalities in the burden of disease due to dementia, including Alzheimer disease, in British Columbia, Canada, from 2001 to 2022.Health promotion and chronic disease prevention in Canada : research, policy and practice · 2025
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53 more citing papers are in PubMed but not listed here.

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

6 authors.

Daniel WeissDepartment of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway.ORCID 0000-0003-4089-8698
Håvard T RydlandDepartment of Sociology and Political Science, Norwegian University of Science and Technology, Trondheim, Norway.
Emil ØversveenDepartment of Sociology and Political Science, Norwegian University of Science and Technology, Trondheim, Norway.
Magnus Rom JensenLibrary Section for Humanities, Education and Social Sciences, Norwegian University of Science and Technology, Trondheim, Norway.
Solvor SolhaugLibrary Section for Humanities, Education and Social Sciences, Norwegian University of Science and Technology, Trondheim, Norway.
Steinar KrokstadDepartment of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to systematically review the range, nature, and extent of current research activity exploring the influence of innovative health-related technologies on social inequalities in health, with specific focus on a deeper understanding of the variables used to measure this connection and the pathways leading to the (re)production of inequalities. A review process was conducted, based on scoping review techniques, searching literature published from January 1, 1996 to November 25, 2016 using MEDLINE, Scopus, and ISI web of science. Search, sorting, and data extraction processes were conducted by a team of researchers and experts using a dynamic, reflexive examination process. Of 4139 studies collected from the search process, a total of 33 were included in the final analysis. Results of this study include the classification of technologies based on how these technologies are accessed and used by end users. In addition to the factors and mechanisms that influence unequal access to technologies, the results of this study highlight the importance of variations in use that importantly shape social inequalities in health. Additionally, focus on health care services technologies must be accompanied by investigating emerging technologies influencing healthy lifestyle, genomics, and personalized devices in health. Findings also suggest that choosing one measure of social position over another has important implications for the interpretation of research results. Furthermore, understanding the pathways through which various innovative health technologies reduce or (re)produce social inequalities in health is context dependent. In order to better understand social inequalities in health, these contextual variations draw attention to the need for critical distinctions between technologies based on how these various technologies are accessed and used. The results of this study provide a comprehensive starting point for future research to further investigate how innovative technologies may influence the unequal distribution of health as a human right.

Indexed as

Healthcare DisparitiesTechnologyHumans

Identifiers

PMID29614114
PMCPMC5882163

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.