Evidence map›Paper›PMID 30795623›Full record

ReviewInternational journal of environmental research and public health2019

Sociodemographic Factors Influencing the Use of eHealth in People with Chronic Diseases.

Fabienne Reiners, Janienke Sturm, Lisette J W Bouw, Eveline J M Wouters

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in International journal of environmental research and public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 143 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
143citing papers in PubMed, 8 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

143 citing papers in PubMed, 8 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Pooled it
  8. Pooled it
  9. Trial
  10. Mobile health delivered physical activity after mild stroke or transient ischemic attack: Is it feasible and acceptable?International journal of stroke : official journal of the International Stroke Society · 2025
    Trial
  11. An exploratory study to understand how rurality status and demographic characteristics are associated with enrollment, engagement, and retention in a digital health intervention targeting the Appalachian region.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2025
    Trial
  12. Trial
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

83 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

4 authors.

Fabienne ReinersSchool of Allied Health Professions, Fontys University of Applied Science, P.O. Box 347, 5600 AH Eindhoven, The Netherlands. f.reiners@student.fontys.nl.
Janienke SturmSchool of HRM and Psychology, Fontys University of Applied Science, P.O. Box 347, 5600 AH Eindhoven, The Netherlands. j.sturm@fontys.nl.
Lisette J W BouwSchool of Allied Health Professions, Fontys University of Applied Science, P.O. Box 347, 5600 AH Eindhoven, The Netherlands. l.bouw@fontys.nl.
Eveline J M WoutersSchool of Allied Health Professions, Fontys University of Applied Science, P.O. Box 347, 5600 AH Eindhoven, The Netherlands. e.wouters@fontys.nl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alongside the growing number of older persons, the prevalence of chronic diseases is increasing, leading to higher pressure on health care services. eHealth is considered a solution for better and more efficient health care. However, not every patient is able to use eHealth, for several reasons. This study aims to provide an overview of: (1) sociodemographic factors that influence the use of eHealth; and (2) suggest directions for interventions that will improve the use of eHealth in patients with chronic disease. A structured literature review of PubMed, ScienceDirect, Association for Computing Machinery Digital Library (ACMDL), and Cumulative Index to Nursing and Allied Health Literature (CINAHL) was conducted using four sets of keywords: "chronic disease", "eHealth", "factors", and "suggested interventions". Qualitative, quantitative, and mixed-method studies were included. Four researchers each assessed quality and extracted data. Twenty-two out of 1639 articles were included. Higher age and lower income, lower education, living alone, and living in rural areas were found to be associated with lower eHealth use. Ethnicity revealed mixed outcomes. Suggested solutions were personalized support, social support, use of different types of Internet devices to deliver eHealth, and involvement of patients in the development of eHealth interventions. It is concluded that eHealth is least used by persons who need it most. Tailored delivery of eHealth is recommended.

Indexed as

AdultAgedAged, 80 and overChronic DiseaseHumansInternetTelemedicinechronic diseasesdigital divideeHealthinterventionssociodemographic factorstechnology

Identifiers

PMID30795623
PMCPMC6406337

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.