Bibliometric Analysis and Methodological Review of Mobile Health Services and Applications in India
Abstract
Purpose The purpose of this research is to analyze the literature published on mobile health (mHealth) in the Indian context. It also reviews the most important research works and presents various methodologies adopted by the researchers in this domain.Design/methodology/approach The SciVerse SCOPUS database was used for extracting the literature on mobile health. The study used articles published between January 2008 to 28 th June 2019. The keyword used is 'mHealth' and journal articles with studies or interventions carried out in India were selected for bibliometric analysis and methodological review.Findings For the keyword search, a total of 7,874 documents have been extracted, of which only 158 have been considered for the analysis. There is an exponential increase in the number of publications from the year 2015 to 2019. The keywords used for representing their articles have been grouped as mobile health devices, gender and age groups, system and software, health and disease condition, management, evidence-based practices (outcome), methods, and importance of the study. The journal PLOS One (87) has the highest number of citations, followed by The Lancet (63). The bibliometric analysis of the literature revealed seven clusters classified as individual's individual's mobile health applications adoption characteristics, need for mobile health and its governance, mobile phone application with the internet of things based framework for healthcare monitoring, mobile health for primary healthcare systems, authentication and security protocol for mobile healthcare, development and experimentation of mobile health application, and development and mobile health for adherence support intervention.Originality/value The study contributes in analyzing the bibliometrics and provides a methodological review for the journal articles published on mobile health. Previous articles considered systematic analysis of the bibliometric for mHealth, and mobile technology but less adequately discussed specifically towards Indian context which this study has embraced.
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Tailored design and personalized contents for patients is a facilitator, and one-for-all unified contents and designs could be a barrier.
“Tailored design and personalized contents for patients is a facilitator, and one-for-all unified contents and designs could be a barrier.”
From Digital health interventions for non-communicable disease management in primary health care in low-and middle-income countries (2023) · cites this paper as [50]
Having user-centered design, such as involving target users in the design phase of digital health, could be a facilitator (i.e., co-design).
“Having user-centered design, such as involving target users in the design phase of digital health could be a facilitator (i.e., co-design).”
From Digital health interventions for non-communicable disease management in primary health care in low-and middle-income countries (2023) · cites this paper as [50]
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Flagged first, then by citations
Cited by
Sorted by citations
Xiong, S., Lu, H., Peoples, N., Duman, E. K., Najarro, A., Ni, Z., Gong, E., Yin, R., Ostbye, T., Palileo-Villanueva, L. M., et al. (2023) · npj Digital Medicine · doi:10.1038/s41746-023-00764-4 · Cited by 126 · see citing works
- Authors
- Pai, R. R., & Alathur, S.
- Affiliations
- Manipal Academy of Higher Education (IN)
- National Institute of Technology Karnataka (IN)
- Corresponding author
- Pai, Rajesh R.
- Venue
- International Journal of Medical Informatics
- Publisher
- Elsevier BV
- Published
- 2021-01
- Volume
- 145
- Pages
- 104330
- ISSN
- 1386-5056 (ISSN-L)
- OpenAlex
- W3099438349
- Cited by
- 35
- References
- 88
- Citations by year
- 2026: 2 · 2025: 1 · 2024: 6 · 2023: 10 · 2022: 11 · 2021: 5
- FWCI
- 6.78
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- International Journal of Medical Informatics (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Health Sciences › Health Professions › Health Information Management › Health, Technology, Consumer Behavior
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Keywords
- mobile health, mobile health apps, India, primary care, medication adherence support, mobile health adoption, research trends
- MeSH terms
- Health Services, Humans, India, Bibliometrics, Telemedicine, Cell Phone, Mobile Applications
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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