Evidence map›Paper›PMID 35847525›Full record

ArticleDigital health

Time to act mature-Gearing eHealth evaluations towards technology readiness levels.

Stephanie Jansen-Kosterink, Marijke Broekhuis, Lex van Velsen

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  10. Polyphenol analysis in human milk by a rapid, cost-effective, and accurate micromethod: translational development.Revista paulista de pediatria : orgao oficial da Sociedade de Pediatria de Sao Paulo · 2024
    Article
  11. eHealth implementationFrontiers in digital health · 2024
    Article
  12. Design of Innovative Clothing for Pressure Injury Prevention: End-User Evaluation in a Mixed-Methods Study.International journal of environmental research and public health · 2023
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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

3 authors.

Stephanie Jansen-KosterinkeHealth Group, Roessingh Research and Development, Enschede, The Netherlands.ORCID https://orcid.org/0000-0002-2095-7104
Marijke BroekhuiseHealth Group, Roessingh Research and Development, Enschede, The Netherlands.
Lex van VelseneHealth Group, Roessingh Research and Development, Enschede, The Netherlands.ORCID https://orcid.org/0000-0003-0599-8706

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is challenging to design a proper eHealth evaluation. In our opinion, the evaluation of eHealth should be a continuous process, wherein increasingly mature versions of the technology are put to the test. In this article, we present a model for continuous eHealth evaluation, geared towards technology maturity. Technology maturity can be determined best via Technology Readiness Levels, of which there are nine, divided into three phases: the research, development, and deployment phases. For each phase, we list and discuss applicable activities and outcomes on the end-user, clinical, and societal front. Instead of focusing on a single perspective, we recommend to blend the end-user, health and societal perspective. With this article we aim to contribute to the methodological debate on how to create the optimal eHealth evaluation design.

Indexed as

continuous processdesigneHealthevaluationperspectivestechnology readiness level

Identifiers

PMID35847525
PMCPMC9280845

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.