Evidence map›Paper›PMID 34257055›Full record

ArticleRevista Colombiana de psiquiatria2021

Patterns of digital information and communication technology use among patients at primary health care centres in Colombia: Phase I of the DIADA project.

Fernando Suárez-Obando, Carlos Gómez-Restrepo, Sergio Castro-Diaz, Paola Paez-Rojas, José M Uribe-Restrepo, John A Naslund, William C Torrey, Leonardo Cubillos, Sophia M Bartels, Makeda J Williams and 1 more

Abstract read
In one paragraph

Article in Revista Colombiana de psiquiatria, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Global mental health and the DIADA project.Revista Colombiana de psiquiatria · 2021
    Article
  5. 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

11 authors.

Fernando Suárez-ObandoDepartamento de Epidemiología Clínica y Bioestadística, Facultad de Medicina, Pontificia Universidad Javeriana, Colombia. Electronic address: fernando.suarez@javeriana.edu.co.
Carlos Gómez-RestrepoDepartamento de Epidemiología Clínica y Bioestadística, Facultad de Medicina, Pontificia Universidad Javeriana, Colombia.
Sergio Castro-DiazDepartamento de Epidemiología Clínica y Bioestadística, Facultad de Medicina, Pontificia Universidad Javeriana, Colombia.
Paola Paez-RojasFundación Carlos Márquez Restrepo - JAVESALUD, Colombia.
José M Uribe-RestrepoCenter for Technology and Behavioral Health, Geisel School of Medicine, Dartmouth College, USA.
John A NaslundCenter for Technology and Behavioral Health, Geisel School of Medicine, Dartmouth College, USA.
William C TorreyCenter for Technology and Behavioral Health, Geisel School of Medicine, Dartmouth College, USA.
Leonardo CubillosCenter for Technology and Behavioral Health, Geisel School of Medicine, Dartmouth College, USA.
Sophia M BartelsCenter for Technology and Behavioral Health, Geisel School of Medicine, Dartmouth College, USA.
Makeda J WilliamsCenter for Translation Research and Implementation Science, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA.
Lisa A MarschCenter for Technology and Behavioral Health, Geisel School of Medicine, Dartmouth College, USA.

Funding

Scaling up Science-based Mental Health Interventions in Latin AmericaU19MH109988 · NIMH · DARTMOUTH COLLEGE · PI GOMEZ, CARLOS · 2016 to 2020
$3.5M
NIMH NIH HHS U19 MH109988
6 · The paper itself

Abstract

objectiveAssess the prevalence and types of digital technology use, as well as the extent to which patients use the internet and mobile devises. Evaluate the socioeconomic characteristics of patients and the possible relation to patterns of technology use in Colombia. Understand the nature of patient technology use in primary care for finding medical information.

methodsA survey was applied to adult patients who attended primary health care centers systems in 6 Colombian cities. The survey inquired about demographic characteristics, insurance, access to services, cell phone use, internet access, and the use of such technology to access health-related services and information. Data was collected and managed using REDCap. Summary statistics on each survey item were calculated and the differences between discrete variables were analyzed using chi-square. Multivariate analyses were performed using logistic regression analysis for binary dependent variables.

resultsA total of 1580 patients were surveyed across the six study sites. 93% of the patients reported they have a cell phone. Patients from urban healthcare centers showed a higher use of the Internet on their phone than less urban settings. Around half of the surveyed patients reported Internet use (49.7%). Among Internet users, 65% of participants use the Internet looking for health care information. Around one-third of patients use cellphones to arrange clinic visits. Around 24% of participants answered positively for both Whooley's questions. Of those who screened positive on the Whooley questions, 43% reported being moderately anxious, 47% reported being very anxious. 51% reported having moderate pain; 52% reported having severe pain.

conclusionsThe patterns of technology use identified in this study are essential for developing future health interventions based on ICT. The design of ICT clinical interventions must take into account the cellphone payment plans, availability of internet connection, advantages, and disadvantages of messenger services, including SMS as a possible alternative to people who do not have smartphones.

Indexed as

CommunicationInformation TechnologyColombiaHumansPrimary Health CareTechnologyAtención primariaDIADAInformation and communication technologiesMental healthPrimary careSalud mentalTechnology useTecnologías de información y comunicaciónUso de tecnología

Identifiers

PMID34257055
PMCPMC9562610

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Registered trials

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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.