Evidence map›Paper›PMID 21289860›Full record

ArticleJournal of multidisciplinary healthcare2010

Acceptance of Swedish e-health services.

Mary-Louise Jung, Karla Loria

Open access · goldAbstract readCase Reports
In one paragraph

Article in Journal of multidisciplinary healthcare, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
9.3field-weighted citation impact, top 3% of its field
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

16 citing papers in PubMed, 93 citations in OpenAlex.

  1. Article
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  6. Seasonality of Back Pain in Italy: An Infodemiology Study.International journal of environmental research and public health · 2021
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  11. Electronic Health Record Portal Adoption: a cross country analysis.BMC medical informatics and decision making · 2017
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  14. Support for e-health services among elderly primary care patients.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2014
    Article
  15. Article
  16. 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 at 1 institution in 1 country.

Mary-Louise JungDivision of Industrial Marketing, e-Commerce and Logistics, Lulea University of Technology, Sweden.
Karla Loria
Luleå University of Technology · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate older people's acceptance of e-health services, in order to identify determinants of, and barriers to, their intention to use e-health.

methodBased on one of the best-established models of technology acceptance, Technology Acceptance Model (TAM), in-depth exploratory interviews with twelve individuals over 45 years of age and of varying backgrounds are conducted.

resultsThis investigation could find support for the importance of usefulness and perceived ease of use of the e-health service offered as the main determinants of people's intention to use the service. Additional factors critical to the acceptance of e-health are identified, such as the importance of the compatibility of the services with citizens' needs and trust in the service provider. Most interviewees expressed positive attitudes towards using e-health and find these services useful, convenient, and easy to use.

conclusionE-health services are perceived as a good complement to traditional health care service delivery, even among older people. These people, however, need to become aware of the e-health alternatives that are offered to them and the benefits they provide.

Indexed as

elderlyhealth-seeking behaviorhealth servicesInternetpatient acceptanceTAMtechnology

Identifiers

PMID21289860
PMCPMC3024889
OpenAlexW2119916351

What OpenQuestion holds

Textmetadata
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.