Evidence map›Paper›PMID 40228239›Full record

SynthesisJournal of medical Internet research2025

Developing the Digital Health Communication Maturity Model: Systematic Review.

Grace Jeonghyun Kim, Kang Namkoong

Abstract readSystematic Review
In one paragraph

Synthesis in Journal of medical Internet research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
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

2 authors.

Grace Jeonghyun KimDepartment of Communication, University of Maryland, College Park, College Park, MD, United States.ORCID https://orcid.org/0009-0007-8000-4341
Kang NamkoongDepartment of Communication, University of Maryland, College Park, College Park, MD, United States.ORCID https://orcid.org/0000-0002-2246-6210

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDigital health has become integral to public health care, advancing how services are accessed, delivered, and managed. Health organizations increasingly assess their digital health maturity to leverage these innovations fully. However, existing digital health maturity models (DHMMs) primarily focus on technology and infrastructure, often neglecting critical communication components.

objectiveThis systematic review addresses gaps in DHMMs by identifying deficiencies in user communication elements and proposing the digital health communication maturity model (DHCMM). The DHCMM integrates critical health communication dimensions such as satisfaction, engagement, personalization, and customization to provide a comprehensive evaluation framework.

methodsWe followed the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines to conduct a systematic review of studies selected from 3 databases: EBSCO, PubMed, and ProQuest. Studies were screened and included based on their focus on digital health maturity and communication elements, with the final selection limited to English-language research addressing DHMMs.

resultsOf the 1138 initially identified studies, 31 (2.72%) met the inclusion criteria. Current DHMMs heavily emphasize infrastructure while overlooking user engagement and communication; for instance, only 35% (11/31) of the reviewed models incorporated user satisfaction, and less than one-fifth (6/31, 19%) addressed personalization or customization. The DHCMM addresses these gaps with 7 maturity levels, ranging from initial to engaged, and emphasizes user-centered metrics and governance. Quantitative analysis showed substantial variations in communication metrics, with satisfaction metrics incorporated at an average rate of 22% (7/31) across the reviewed models.

conclusionsThe DHCMM shifts the focus of digital health maturity assessments by emphasizing communication and user engagement. This model provides health care organizations with a structured framework to enhance digital health initiatives, leading to better patient outcomes and system-wide efficiencies. The model delivers actionable insights for organizations aiming to achieve advanced digital maturity by addressing underrepresented dimensions. Future research should implement and refine the DHCMM across diverse health care contexts to enhance its effectiveness. The adoption of this model could result in more equitable, user-centered health care systems that integrate technological advancements with human-centered care.

Indexed as

CommunicationHealth CommunicationHumansTelemedicinedigital healthdigital health communicationdigital strategydigital transformationevaluation metricshealth care innovationhealth care technologyhealth communicationintegrated modelmaturity modelmodel developmentorganizational readinesssystematic review

Identifiers

PMID40228239
PMCPMC12038289

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.