Evidence map›Paper›PMID 28465282›Full record

ArticleJMIR mHealth and uHealth2017

mHealth Assessment: Conceptualization of a Global Framework.

Meghan Bradway, Carme Carrion, Bárbara Vallespin, Omid Saadatfard, Elisa Puigdomènech, Mireia Espallargues, Anna Kotzeva

Abstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers, 12 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
74citing papers in PubMed, 12 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

74 citing papers in PubMed, 12 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. Pooled it
  10. How to Value Digital Health Interventions? A Systematic Literature Review.International journal of environmental research and public health · 2020
    Pooled it
  11. Pooled it
  12. Pooled it
  13. Trial
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article

14 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

7 authors.

Meghan BradwayNorwegian Centre for E-health Research, University Hospital of North Norway, Tromsø, Norway.ORCID http://orcid.org/0000-0003-4540-225X
Carme CarrionUniversitat Oberta de Catalunya (UOC), Catalonia, Spain.ORCID http://orcid.org/0000-0003-1479-7551
Bárbara VallespinMobile World Capital Barcelona, Barcelona, Spain.ORCID http://orcid.org/0000-0002-9006-7633
Omid SaadatfardNorwegian Centre for E-health Research, University Hospital of North Norway, Tromsø, Norway.ORCID http://orcid.org/0000-0002-3506-0260
Elisa PuigdomènechAgència de Qualitat i Avaluació Sanitàries de Catalunya (AQuAS), Catalonia, Spain.ORCID http://orcid.org/0000-0002-1671-0248
Mireia EspallarguesRed de Investigación en Servicios Sanitarios en Enfermedades Crónicas (REDISSEC), Bilbao, Spain.ORCID http://orcid.org/0000-0002-4277-3672
Anna KotzevaAgència de Qualitat i Avaluació Sanitàries de Catalunya (AQuAS), Catalonia, Spain.ORCID http://orcid.org/0000-0001-6098-1152

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe mass availability and use of mobile health (mHealth) technologies offers the potential for these technologies to support or substitute medical advice. However, it is worrisome that most assessment initiatives are still not able to successfully evaluate all aspects of mHealth solutions. As a result, multiple strategies to assess mHealth solutions are being proposed by medical regulatory bodies and similar organizations.

objectiveWe aim to offer a collective description of a universally applicable description of mHealth assessment initiatives, given their current and, as we see it, potential impact. In doing so, we recommend a common foundation for the development or update of assessment initiatives by addressing the multistakeholder issues that mHealth technology adds to the traditional medical environment.

methodsOrganized by the Mobile World Capital Barcelona Foundation, we represent a workgroup consisting of patient associations, developers, and health authority representatives, including medical practitioners, within Europe. Contributions from each group's diverse competencies has allowed us to create an overview of the complex yet similar approaches to mHealth evaluation that are being developed today, including common gaps in concepts and perspectives. In response, we summarize commonalities of existing initiatives and exemplify additional characteristics that we believe will strengthen and unify these efforts.

resultsAs opposed to a universal standard or protocol in evaluating mHealth solutions, assessment frameworks should respect the needs and capacity of each medical system or country. Therefore, we expect that the medical system will specify the content, resources, and workflow of assessment protocols in order to ensure a sustainable plan for mHealth solutions within their respective countries.

conclusionsA common framework for all mHealth initiatives around the world will be useful in order to assess whatever mHealth solution is desirable in different areas, adapting it to the specifics of each context, to bridge the gap between health authorities, patients, and mHealth developers. We aim to foster a more trusting and collaborative environment to safeguard the well-being of patients and citizens while encouraging innovation of technology and policy.

Indexed as

assessmentchecklistevaluationframeworkmhealth

Identifiers

PMID28465282
PMCPMC5434253

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.