Evidence map›Paper›PMID 38466714›Full record

Trial reportPloS one2024

Feasibility of a family-oriented mHealth intervention for Chinese Americans with type 2 diabetes: A pilot randomized control trial.

Lu Hu, Yun Shi, Judith Wylie-Rosett, Mary Ann Sevick, Xinyi Xu, Ricki Lieu, Chan Wang, Huilin Li, Han Bao, Yulin Jiang and 3 more

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 9% of its field
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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Diabetes Distress and Associated Factors Among Chinese Americans with Type 2 Diabetes in New York City.Diabetes, metabolic syndrome and obesity : targets and therapy · 2024
    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

13 authors at 5 institutions in 1 country.

Lu HuInstitute for Excellence in Health Equity, Center for Healthful Behavior Change, NYU Langone Health, New York, NY, United States of America.
Yun ShiInstitute for Excellence in Health Equity, Center for Healthful Behavior Change, NYU Langone Health, New York, NY, United States of America.ORCID https://orcid.org/0000-0003-1936-072X
Judith Wylie-RosettDepartment of Epidemiology & Population Health, Albert Einstein College of Medicine, New York, NY, United States of America.
Mary Ann SevickInstitute for Excellence in Health Equity, Center for Healthful Behavior Change, NYU Langone Health, New York, NY, United States of America.
Xinyi XuInstitute for Excellence in Health Equity, Center for Healthful Behavior Change, NYU Langone Health, New York, NY, United States of America.
Ricki LieuInstitute for Excellence in Health Equity, Center for Healthful Behavior Change, NYU Langone Health, New York, NY, United States of America.
Chan WangDepartment of Population Health, NYU Grossman School of Medicine, NYU Langone Health, New York, NY, United States of America.
Huilin LiDepartment of Population Health, NYU Grossman School of Medicine, NYU Langone Health, New York, NY, United States of America.
Han BaoJacobi Medical Center, New York, NY, United States of America.
Yulin JiangInstitute for Excellence in Health Equity, Center for Healthful Behavior Change, NYU Langone Health, New York, NY, United States of America.
Ziqiang ZhuWellsure Medical Practice, New York, NY, United States of America.
Ming-Chin YehSchool of Urban Public Health, Hunter College, City University of New York, New York, NY, United States of America.
Nadia IslamDepartment of Population Health, NYU Grossman School of Medicine, NYU Langone Health, New York, NY, United States of America.
Center for Health and Gender Equity · USNew York University · USAlbert Einstein College of Medicine · USCity University of New York · USJacobi Medical Center · US

Funding

Project-005UL1TR001445 · NCATS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BREDELLA, MIRIAM ANTOINETTE, HOCHMAN, JUDITH S · 2015 to 2025
$103.5M
Rutgers-NYU Center for Asian Health Promotion and EquityP50MD017356 · NIMHD · RUTGERS BIOMEDICAL/HEALTH SCIENCES-RBHS · PI SETOGUCHI IWATA, SOKO, ZHENG, YAGUANG · 2021 to 2025
$11.6M
Scaling Community-Clinical Linkage Models to Address Diabetes and Hypertension Disparities in the Southeastern U.S.U54MD000538 · NIMHD · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI KWON, SIMONA, TRINH-SHEVRIN, CHAU · 2017 to 2022
$11.3M
New York Regional Center for Diabetes Translation Research - Translational Intervention Methodology CoreP30DK111022 · NIDDK · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI JEFFREY GONZALEZ · 2016 to 2026
$7.8M
Promoting Academic Workforce Development in Behavioral Medicine and Sleep Disorders ResearchR25HL105444 · NHLBI · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI Girardin Jean-Louis, Tatjana Rundek · 2010 to 2026
$5.8M
Actions to Decrease Disparities in Risk and Engage in Shared Support for Blood Pressure Control (ADDRESS-BP) in BlacksUG3HL151310 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI ISLAM, NADIA S, OGEDEGBE, OLUGBENGA G. · 2020 to 2022
$4.3M
Integrating Community Health Workers into Primary Care Teams to improve Diabetes Prevention in Underserved CommunitiesR18DK110740 · NIDDK · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI ISLAM, NADIA S, SCHWARTZ, MARK D · 2016 to 2020
$3.5M
Integrated Community-Clinical Linkage Model to Promote Weight Loss among South Asians with Pre-DiabetesR01DK110048 · NIDDK · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI ISLAM, NADIA S · 2017 to 2021
$3.5M
LINK-IT: Leveraging vIdeos and commuNity health worKers to Improve diabetes ouTcomesR01MD017579 · NIMHD · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Lu Hu · 2023 to 2026
$3.3M
Implementing an effective Diabetes intervEntion Among Low-income immigrants (IDEAL Study)R18HS029813 · AHRQ · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI HU, LU · 2023 to 2024
$989k
A Mobile Health Intervention to Reduce Diabetes Disparities in Chinese AmericansR00MD012811 · NIMHD · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI HU, LU · 2020 to 2022
$737k
A Mobile Health Intervention to Reduce Diabetes Disparities in Chinese AmericansK99MD012811 · NIMHD · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI HU, LU · 2018 to 2019
$207k
AHRQ HHS R18 HS029813NCATS NIH HHS UL1 TR001445NCCDPHP CDC HHS U48 DP006396NCCDPHP CDC HHS U48 DP006778NHLBI NIH HHS R25 HL105444NHLBI NIH HHS UG3 HL151310NIDDK NIH HHS P30 DK111022NIDDK NIH HHS R01 DK110048NIDDK NIH HHS R18 DK110740NIMHD NIH HHS K99 MD012811NIMHD NIH HHS P50 MD017356NIMHD NIH HHS R00 MD012811NIMHD NIH HHS U54 MD000538
6 · The paper itself

Abstract

objectivesTo test the feasibility, acceptability, and potential efficacy of a mHealth intervention tailored for Chinese immigrant families with type 2 diabetes (T2D).

methodsWe conducted a pilot randomized controlled trial (RCT) with baseline, 3-, and 6-month measurements. Participating dyads, T2D patients and families/friends from NYC, were randomized into the intervention group (n = 11) or the wait-list control group (n = 12). Intervention includes 24 videos covering T2D self-management, behavioral techniques, and family-oriented sessions. Feasibility and acceptability were measured respectively by the retention rate and video watch rate, and a satisfaction survey. Patients' HbA1c, weight, and self-management were also assessed to test potential efficacy.

resultsMost T2D patients (n = 23; mean age 56.2±9.4 years; 52.2% male) and families/friends (n = 23, mean age 54.6±11.2 years; 52.2% female) had high school education or less (69.6% and 69.6%), annual household income < $25,000 (65.2% and 52.2%), and limited English proficiency (95.7% and 95.7%). The retention rates were not significantly different between the intervention and the control groups for both the patients (90.91% vs 83.3%, p = 0.589); and their families/friends (3-month: 90.9% vs 75%, p = 0.313; 6-month: 90.9% vs 83.3%, p = 0.589). The mean video watch rate was 76.8% (7%). T2D patients and families/friends rated satisfaction as 9.4 and 10 out of 10, respectively. Despite no between-group differences, the intervention group had significantly lower HbA1c (p = 0.014) and better self-management (p = 0.009), and lost 12 lbs. on average at 6 months (p = 0.079), compared to their baseline levels.

conclusionsA culturally-tailored, family-based mHealth intervention is feasible and acceptable among low-income, limited English-proficient Chinese families with T2D in NYC. Significant changes in HbA1c and self-management within the intervention group indicate this intervention may have potential efficacy. Given the small sample size of this study, a future RCT with adequate power is needed to test efficacy.

Indexed as

Diabetes Mellitus, Type 2TelemedicineAdultAgedAsianFeasibility StudiesFemaleGlycated HemoglobinHumansMaleMiddle AgedPilot ProjectsGlycated Hemoglobin

Identifiers

PMID38466714
PMCPMC10927140
OpenAlexW4392661612

What Socratic 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 Socratic graph.