Evidence map›Paper›PMID 34494968›Full record

ArticleJMIR mHealth and uHealth2021

Exploring the Shift in International Trends in Mobile Health Research From 2000 to 2020: Bibliometric Analysis.

Jianfei Cao, Yeongjoo Lim, Shintaro Sengoku, Xitong Guo, Kota Kodama

Abstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 3 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

28 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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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

5 authors.

Jianfei CaoGraduate School of Technology Management, Ritsumeikan University, Ibaraki, Japan.ORCID 0000-0001-9452-2990
Yeongjoo LimDepartment of Business Administration, Ritsumeikan University, Ibaraki, Japan.ORCID 0000-0003-2740-5537
Shintaro SengokuDepartment of Innovation Science, Tokyo Institute of Technology, Tokyo, Japan.ORCID 0000-0001-8008-3667
Xitong GuoInstitute at School of Management, Harbin Institute of Technology, Harbin, China.ORCID 0000-0002-9569-0299
Kota KodamaGraduate School of Technology Management, Ritsumeikan University, Ibaraki, Japan.ORCID 0000-0002-2360-2034

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSmartphones have become an integral part of our lives with unprecedented popularity and a diverse selection of apps. The continuous upgrading of information technology has also enabled smartphones to display great potential in the field of health care.

objectiveWe aimed to determine the future research direction of mobile health (mHealth) by analyzing its research trends and latest research hotspots.

methodsThis study collected mHealth-related literature published between 2000 and 2020 from the Web of Science database. Descriptive statistics of publication trends of mHealth research were determined by analyzing the annual number of publications in the literature and annual number of publications by country. We constructed visualization network maps of country (or regional) collaborations and author-provided keyword co-occurrences, as well as overlay visualization maps of the average publication year of author-provided keywords to analyze the hotspots and research trends in mHealth research.

resultsIn total, 12,593 mHealth-related research papers published between 2000 and 2020 were found. The results showed an exponential growth trend in the number of annual publications in mHealth literature. JMIR mHealth and uHealth, the Journal of Medical Internet Research, and JMIR Research Protocols were the 3 top journals with respect to number of publications. The United States remained the leading contributor to the literature in this area (5294/12,593, 42.0%), well ahead of other countries and regions. Other countries and regions also showed a clear trend of annual increases in the number of mHealth publications. The 4 countries with the largest number of publications-the United States, the United Kingdom, Canada, and Australia-were found to cooperate more closely. The rest of the countries and regions showed a clear geographic pattern of cooperation. The keyword co-occurrence analysis of the top 100 authors demonstrated 5 clusters, namely, development of mHealth medical technology and its application to various diseases, use of mHealth technology to improve basic public health and health policy, mHealth self-health testing and management in daily life, adolescent use of mHealth, and mHealth in mental health. The research trends revealed a gradual shift in mHealth research from health policy and improving public health care to the development and social application of mHealth technologies.

conclusionsTo the best of our knowledge, the most current bibliometric analysis dates back to 2016. However, the number of mHealth research published between 2017 and 2020 exceeds the previous total. The results of this study shed light on the latest hotspots and trends in mHealth research. These findings provide a useful overview of the development of the field; they may also serve as a valuable reference and provide guidance for researchers in the digital health field.

Indexed as

BibliometricsTelemedicineAdolescentDelivery of Health CareHumansSmartphoneUnited Statesadolescentappbibliometricbibliometric analysisco-occurrence analysiscooperationdata visualizationdevelopmentdigital healthdigital medicinehealth policyinnovationjournalologyliteraturemental healthmHealthmobile healthparadigmpublic healthresearchresearch trendsreviewself-managementsmartphonetrend

Identifiers

PMID34494968
PMCPMC8459219

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.