Evidence map›Paper›PMID 32726748›Full record

ArticleJMIR formative research2020

A Digital Health Intervention for Weight Management for Latino Families Living in Rural Communities: Perspectives and Lessons Learned During Development.

Zenong Yin, Vanessa L Errisuriz, Martin Evans, Devasena Inupakutika, Sahak Kaghyan, Shiyu Li, Laura Esparza, David Akopian, Deborah Parra-Medina

2 registry-linked trialsOpen access · goldAbstract read
In one paragraph

Article in JMIR formative research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 19% 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.

NCT03186885 naunknown statusnot on this map

Healthy Frio: A Rural Community Partnership to Advance Latino Obesity Research

TypeinterventionalSponsorUniversity of Texas at AustinRan2017 to 2023Enrolled260ConditionsObesity, Nutrition Poor, Physical Activity, Weight LossArmsHealthy Frio In-Person Family-focused Intervention, Healthy Frio Remote Technology Family-focused Intervention, Control
NCT06411769 narecruitingnot on this mapstarted 2024, after this paper: background citation

Evidence-based Intervention to Improve Walking Engagement in El Paso, Texas

TypeinterventionalSponsorUniversity of Texas, El PasoRan2024 to 2027Enrolled406ConditionsActivity Trackers, Physical ActivityArms50K4LIfe, SMS Text Messaging, Individual, School
3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 7 citations in OpenAlex.

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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

9 authors at 2 institutions in 1 country.

Zenong YinDepartment of Kinesiology, Health, and Nutrition, The University of Texas at San Antonio, San Antonio, TX, United States.ORCID https://orcid.org/0000-0001-7597-3147
Vanessa L ErrisurizLatino Research Institute, The University of Texas at Austin, Austin, TX, United States.ORCID https://orcid.org/0000-0001-6930-0763
Martin EvansLatino Research Institute, The University of Texas at Austin, Austin, TX, United States.ORCID https://orcid.org/0000-0001-8455-0023
Devasena InupakutikaDepartment of Electrical and Computer Engineering, The University of Texas at San Antonio, San Antonio, TX, United States.ORCID https://orcid.org/0000-0002-9121-2775
Sahak KaghyanDepartment of Electrical and Computer Engineering, The University of Texas at San Antonio, San Antonio, TX, United States.ORCID https://orcid.org/0000-0002-9028-4291
Shiyu LiDepartment of Kinesiology, Health, and Nutrition, The University of Texas at San Antonio, San Antonio, TX, United States.ORCID https://orcid.org/0000-0001-8420-9343
Laura EsparzaLatino Research Institute, The University of Texas at Austin, Austin, TX, United States.ORCID https://orcid.org/0000-0001-9003-7314
David AkopianDepartment of Electrical and Computer Engineering, The University of Texas at San Antonio, San Antonio, TX, United States.ORCID https://orcid.org/0000-0001-5977-9969
Deborah Parra-MedinaLatino Research Institute, The University of Texas at Austin, Austin, TX, United States.ORCID https://orcid.org/0000-0002-5505-524X
The University of Texas at San Antonio · USThe University of Texas at Austin · US

Funding

Healthy Frio: A Rural Community Partnership to Advance Latino Obesity ResearchR01NR016269 · NINR · UNIVERSITY OF TEXAS AT AUSTIN · PI PARRA-MEDINA, DEBORAH · 2016 to 2020
$3.2M
NINR NIH HHS R01 NR016269
6 · The paper itself

Abstract

Rural residents face numerous challenges in accessing quality health care for management of chronic diseases (eg, obesity, diabetes), including scarcity of health care services and insufficient public transport. Digital health interventions, which include modalities such as internet, smartphones, and monitoring sensors, may help increase rural residents' access to health care. While digital health interventions have become an increasingly popular intervention strategy to address obesity, research examining the use of technological tools for obesity management among rural Latino populations is limited. In this paper, we share our experience developing a culturally tailored, interactive health intervention using digital technologies for a family-oriented, weight management program in a rural, primarily Latino community. We describe the formative research that guided the development of the intervention, discuss the process of developing the intervention technologies including issues of privacy and data security, examine the results of a pilot study, and share lessons learned. Our experience can help others design user-centered digital health interventions to engage underserved populations in the uptake of healthy lifestyle and disease management skills.

Indexed as

chronic diseasedietdigital interventionLatino familieslifestylemhealthrural populationself-managementweight

Identifiers

PMID32726748
PMCPMC7471894
OpenAlexW3045125456

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.