Evidence mapPaperPMID 41239283Full record

ReviewBMC public health2025

Mobile health interventions tailored to immigrant populations with diabetes: an integrative review.

Jing Liu, Ora Z Friedman, Ximin Yang, Haili Song, Mary Ann Sevick, Natalie Levy, Kosuke Tamura, Bei Wu, Lu Hu

Abstract readReview
In one paragraph

Review in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Jing LiuCenter for Healthful Behavior Change, Institute for Excellence in Health Equity, NYU Grossman School of Medicine NYU Langone Health, 180 Madison Ave, New York, NY, 10016, USA.
Ora Z FriedmanCenter for Healthful Behavior Change, Institute for Excellence in Health Equity, NYU Grossman School of Medicine NYU Langone Health, 180 Madison Ave, New York, NY, 10016, USA.
Ximin YangCenter for Healthful Behavior Change, Institute for Excellence in Health Equity, NYU Grossman School of Medicine NYU Langone Health, 180 Madison Ave, New York, NY, 10016, USA.
Haili SongCenter for Healthful Behavior Change, Institute for Excellence in Health Equity, NYU Grossman School of Medicine NYU Langone Health, 180 Madison Ave, New York, NY, 10016, USA.
Mary Ann SevickCenter for Healthful Behavior Change, Institute for Excellence in Health Equity, NYU Grossman School of Medicine NYU Langone Health, 180 Madison Ave, New York, NY, 10016, USA.
Natalie LevyDepartment of Medicine, NYU Grossman School of Medicine, NYU Langone Health, New York, NY, USA.
Kosuke TamuraSocio-Spatial Determinants of Health Laboratory, Population and Community Health Sciences Branch, Division of Intramural Research, National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, MD, USA.
Bei WuNYU Shanghai, Shanghai, China.
Lu HuCenter for Healthful Behavior Change, Institute for Excellence in Health Equity, NYU Grossman School of Medicine NYU Langone Health, 180 Madison Ave, New York, NY, 10016, USA. lu.hu@nyulangone.org.

Funding

LINK-IT: Leveraging vIdeos and commuNity health worKers to Improve diabetes ouTcomesR01MD017579 · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · 2025 to 2025
$813k
AHRQ HHS grant R18HS029813AHRQ HHS R18 HS029813American Diabetes Association grant 7-22-ICTSN-08NIH HHS grants R01MD017579-01A1, K99MD012811, and R00MD012811NIMHD NIH HHS K99 MD012811NIMHD NIH HHS R00 MD012811NIMHD NIH HHS R01 MD017579
6 · The paper itself

Abstract

backgroundImmigrant populations face numerous barriers to accessing evidence-based diabetes interventions. Mobile health (mHealth) interventions are increasingly being used to support individuals in managing diabetes. This review aims to synthesize the available evidence on mHealth interventions specifically designed for immigrant populations with diabetes.

methodsAn integrative review was conducted following Whittemore and Knafl's methodology. Studies from the inception of PubMed, Web of Science, Cochrane Library, CINAHL Ultimate, Embase, and APA PsycInfo up to July 2024 were searched. The Mixed Methods Appraisal Tool was used to assess the quality of the included studies. A constant comparison strategy was employed for data analysis.

resultsA total of seven studies met the inclusion criteria for this review, including five randomized controlled trials (RCTs: two fully powered RCTs and three pilot RCTs) and two pre-post single-arm pilot studies. All studies were conducted in the United States. The mHealth interventions were tailored to Korean, Chinese, Marshallese, Latinx, and South Asian immigrants. The sample sizes varied from 17 to 250. Evidence from the included studies is primarily limited by statistical power due to their pilot designs and small sample sizes. Despite this limitation, all studies demonstrated high feasibility and acceptability of mHealth interventions for diabetes management among these immigrant groups. Participants also reported high levels of satisfaction with mHealth interventions. The included studies consistently reported significant improvements in a range of health, psychosocial, and behavioral outcomes within the intervention groups, including hemoglobin A1C levels, body weight, blood glucose, total cholesterol, triglycerides, low-/high-density lipoprotein levels, and blood pressure; and self-efficacy, mental health status, diabetes knowledge, and quality of life; as well as physical activity, self-management, and dietary behaviors. However, when compared to control groups, the reported effectiveness of mHealth interventions on these outcomes was inconsistent.

conclusionsThis review demonstrates the feasibility and acceptability of mHealth interventions for diabetes management among within immigrant populations. The findings suggest that these interventions may serve as a viable strategy to improve health, psychosocial, and behavioral outcomes. Future RCTs with larger sample sizes are needed to provide more robust evidence of the effectiveness of mHealth interventions. Importantly, this review highlights the scarcity of mHealth-related studies focused on immigrant populations with diabetes and calls for more research to examine how to best support this underserved group.

Indexed as

Diabetes MellitusEmigrants and ImmigrantsTelemedicineHumansUnited StatesDiabetes interventionDiabetes mellitusHealth equityImmigrant healthImmigrantsInterventionMHealthMobile healthReviewTelehealthTelemedicine

Identifiers

PMID41239283
PMCPMC12619219

What Socratic 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 Socratic graph.