Evidence map›Paper›PMID 36350567›Full record

Trial reportJournal of the American Medical Informatics Association : JAMIA2023

A randomized controlled trial of generic and localized MedlinePlus-based information resources for hard-to-reach urban Hispanic community.

Tianmai M Zhang, Mari Millery, Alejandra N Aguirre, Rita Kukafka

Registry-linked trialOpen access · greenAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of the American Medical Informatics Association : JAMIA, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03984929 (Conexion), which is not on this map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 35% 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.

NCT03984929 nacompletednot on this map

Conexion: A Localized Information Resource on Diabetes and Depression for a Low-income Hispanic Community

TypeinterventionalSponsorColumbia UniversityRan2019 to 2022Enrolled136ConditionsDiabetes Mellitus, DepressionArmsConexion Localized, Conexion Generic
3 · Its place in the literature

Who cites it

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

  1. Pooled it
  2. 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

4 authors at 2 institutions in 1 country.

Tianmai M ZhangDepartment of Biomedical Informatics, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, New York, USA.
Mari MilleryDepartment of Biomedical Informatics, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, New York, USA.
Alejandra N AguirreIrving Institute for Clinical and Translational Research, Columbia University Irving Medical Center, New York, New York, USA.
Rita KukafkaDepartment of Biomedical Informatics, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, New York, USA.
Columbia University · USColumbia University Irving Medical Center · US

Funding

Clinical and Translational Science AwardUL1TR001873 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI REILLY, MUREDACH P · 2016 to 2025
$99.0M
Conexion: A localized information resource for a low-income Hispanic communityG08LM012689 · NLM · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI KUKAFKA, RITA · 2017 to 2019
$300k
NCATS NIH HHS UL1 TR001873NLM NIH HHS G08 LM012689
6 · The paper itself

Abstract

objectiveTo determine if the Conexion digital localized health information resource about diabetes and depression could increase patient activation among Hispanic low-income adults. MATERIALS AND

methodsA nonblinded randomized controlled trial was conducted (NCT03984929). Participants at least 18 years old living in Washington Heights/Inwood, New York, were recruited from the community between July 2019 and August 2020 and randomized 1:1 to either the intervention group (localization of MedlinePlus resources customized with community components) or the control group (no localized community components). The primary outcome, patient activation, and secondary outcomes, knowledge, self-efficacy, and behavior change, were collected through surveys at 1-month follow-up.

resultsOf the 134 participants recruited, 50.7% (n = 68) completed the 1-month follow-up. We found no statistically significant differences in the sociodemographic and baseline characteristics between those who missed the 1-month survey and those who completed it. No significant differences were observed in patient activation at 1-month. However, patient activation among all participants (n = 68) significantly increased (P = .048). Statistically significant improvements were also found in self-efficacy (P < .03). In multivariate analysis, birth country outside the United States and higher self-rated attachment to the community emerged as significant predictors of higher patient activation scores. DISCUSSION: While the trial did not detect significant differences between groups, all participants demonstrated increased patient activation scores and improved secondary outcomes. While other factors may have contributed to this increase, our study suggests that access to carefully selected high-quality health information materials delivered digitally in the context of a community may result in improvements comparable to localized content in a hard-to-reach urban Hispanic population.

conclusionsOur study highlights the potential of making carefully selected digital information accessible to hard-to-reach communities.

Indexed as

MedlinePlusPatient ParticipationAdolescentAdultHispanic or LatinoHumansNew YorkSurveys and QuestionnairesUnited Statescommunity health educationconsumer health informationdepressiondiabetesdigital healthpatient portal

Identifiers

PMID36350567
PMCPMC9846683
OpenAlexW4308635951

What OpenQuestion holds

Textmetadata
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.