Evidence map›Paper›PMID 35409431›Full record

ArticleInternational journal of environmental research and public health2022

Mobile Health (m-Health) in Retrospect: The Known Unknowns.

Robert S H Istepanian

Registry-linked trialAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06632132 (Boosting Knowledge, Attitudes, and Practices), which is not on this map. Cited by 89 papers, 13 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
89citing papers in PubMed, 13 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.

NCT06632132 nacompletednot on this mapstarted 2024, after this paper: background citation

Boosting Knowledge, Attitudes, and Practices: An Experimental Study Evaluating the Effectiveness of mHealth Training on Antimicrobial Resistance for Hemodialysis Nurses

TypeinterventionalSponsorJordan University of Science and TechnologyRan2024 to 2024Enrolled64ConditionsAntimicrobial Resistance in HemodialysisArmsAntimicrobial resistance Training in Hemodialysis Units
3 · Its place in the literature

Who cites it

89 citing papers in PubMed, 13 syntheses or guidelines pooled it.

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  14. Challenges and Strategies: Nationwide Data Collection for an Internet-based Guided Relaxation Intervention in Sickle Cell Disease.Pain management nursing : official journal of the American Society of Pain Management Nurses · 2025
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29 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

1 author.

Robert S H IstepanianInstitute of Global Health Innovation, Imperial College London, London SW7 2AZ, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For nearly two decades, mobile health or (m-Health) was hailed as the most innovative and enabling area for the digital transformation of healthcare globally. However, this profound vision became a fleeting view since the inception and domination of smart phones, and the reorientation of the concept towards the exclusivity of global smart phone application markets and services. The global consumerization of m-Health in numerous disciplines of healthcare, fitness and wellness areas is unprecedented. However, this divergence between 'mobile health capitalism' and the 'science of mobile health' led to the creation of the 'm-Health schism'. This schism was sustained by the continued domination of the former on the expense of the latter. This also led to increased global m-Health inequality and divide between the much-perceived health and patient benefits and the markets of m-Health. This divergence was more evident in low and middle income (LMIC) countries compared to the developed world. This powerful yet misguided evolution of the m-Health was driven essentially by complex factors. These are presented in this paper as the 'known unknowns' or 'the obvious but sanctioned facts' of m-Health. These issues had surreptitiously contributed to this reorientation and the widening schism of m-Health. The collateral damage of this process was the increased shift towards understanding 'digital health' as a conjecture term associated with mobile health. However, to date, no clear or scientific views are discussed or analyzed on the actual differences and correlation aspects between digital and mobile health. This particular 'known unknown' is presented in detail in order to provide a rapprochement framework of this correlation and valid presentations between the two areas. The framework correlates digital health with the other standard ICT for the healthcare domains of telemedicine, telehealth and e-health. These are also increasingly used in conjunction with digital health, without clear distinctions between these terms and digital health. These critical issues have become timelier and more important to discuss and present, particularly after the world has been caught off guard by the COVID-19 pandemic. The much hyped and the profiteering digital health solutions developed in response of this pandemic provided a modest impact, and the benefits were mostly inadequate in mitigating the massive health, human, and economic impact of this pandemic. This largely commercial reorientation of mobile health was unable not only to predict the severity of the pandemic, but also unable to provide adequate digital tools or effective pre-emptive digital epidemiological shielding and guarding mechanisms against this devastating pandemic. There are many lessons to be learnt from the COVID-19 pandemic from the mobile and digital health perspectives, and lessons must be learnt from the past and to address the critical aspects discussed in this paper for better understanding of mobile health and effective tackling of future global healthcare challenges.

Indexed as

COVID-19TelemedicineDelivery of Health CareHealth Status DisparitiesHumansPandemicsdigital healthe-healthm-healthmHealthmobile healthtelehealthtelemedicine

Identifiers

PMID35409431
PMCPMC8998037

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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.