Evidence map›Paper›PMID 40566270›Full record

ArticleInternational journal of environmental research and public health2025

Improving Rural Healthcare in Mobile Clinics: Real-Time, Live Data Entry into the Electronic Medical Record Using a Satellite Internet Connection.

Daniel Jackson Smith, Elizabeth Mizelle, Nina Ali, Valery Cepeda, Tonya Pearson, Kayla Crumbley, Dayana Pimentel, Simón Herrera Suarez, Kenneth Mueller, Quyen Phan and 2 more

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  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

12 authors.

Daniel Jackson SmithSchool of Nursing, University at Buffalo, Buffalo, NY 14214, USA.ORCID 0000-0003-4471-8885
Elizabeth MizelleFarmworker Family Health Program, Atlanta, GA 30322, USA.ORCID 0000-0002-5709-3047
Nina AliSchool of Nursing, University at Buffalo, Buffalo, NY 14214, USA.
Valery CepedaFarmworker Family Health Program, Atlanta, GA 30322, USA.
Tonya PearsonFarmworker Family Health Program, Atlanta, GA 30322, USA.
Kayla CrumbleyFarmworker Family Health Program, Atlanta, GA 30322, USA.
Dayana PimentelFarmworker Family Health Program, Atlanta, GA 30322, USA.
Simón Herrera SuarezFarmworker Family Health Program, Atlanta, GA 30322, USA.
Kenneth MuellerFarmworker Family Health Program, Atlanta, GA 30322, USA.ORCID 0009-0008-5560-0624
Quyen PhanFarmworker Family Health Program, Atlanta, GA 30322, USA.ORCID 0000-0001-5212-4118
Erin P FerrantiFarmworker Family Health Program, Atlanta, GA 30322, USA.
Lori A ModlyFarmworker Family Health Program, Atlanta, GA 30322, USA.ORCID 0000-0003-2208-3399

Funding

High Heat and Human Health: The Impacts of Heatwaves on Kidney Disease and Data Driven Solutions (The 4H Proposal)K01NR021272 · NINR · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI Daniel Jackson Smith · 2024 to 2026
$486k
HRSA HHS UK1HP47321-01-00NINR NIH HHS K01 NR021272NINR NIH HHS K01NR021272NIOSH CDC HHS K01 OH012697NIOSH CDC HHS K01OH012697
6 · The paper itself

Abstract

The Farmworker Family Health Program (FWFHP) annually supports 600 farmworkers in connectivity-challenged rural areas. Traditional paper-based data collection poses validity concerns, prompting a pilot of direct data entry using tablets and satellite internet to enhance efficiency. The purpose of this article is to describe, using the TIDier checklist, a real-time, live data-entry EMR intervention made possible by satellite internet. Utilizing a customized REDCap database, direct data entry occurred through tablets and satellite internet. Patients received a unique medical record number (MRN) at the mobile health clinic, with an interprofessional team providing care. Medication data, captured in REDCap before the mobile pharmacy visit, exhibited minimal defects at 6.9% of 319 prescriptions. To enhance data collection efficiency, strategies such as limiting free text variables and pre-selecting options were employed. Adequate infrastructure, including tablets with keyboards and barcode scanners, ensured seamless data capture. Wi-Fi extenders improved connectivity in open areas, while backup paper forms were crucial during connectivity disruptions. These practices contributed to enhanced data accuracy. Real-time data entry in connectivity-limited settings is viable. Replacing paper-based methods streamlines healthcare provision, allowing timely collection of occupational and environmental health metrics. The initiative stands as a scalable model for healthcare accessibility, addressing unique challenges in vulnerable communities.

Indexed as

Electronic Health RecordsInternetMobile Health UnitsRural Health ServicesHumansRural PopulationSatellite Communicationsfarmworker healthhealthcare accessibilitymobile clinicsreal-time data entrysatellite internet

Identifiers

PMID40566270
PMCPMC12192985

What OpenQuestion 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 OpenQuestion graph.