Evidence map›Paper›PMID 30943824›Full record

Trial reportJournal of the American Heart Association2019

Using mH ealth Tools to Improve Access and Coverage of People With Public Health Insurance and High Cardiovascular Disease Risk in Argentina: A Pragmatic Cluster Randomized Trial.

Andrea Beratarrechea, Shafika Abrahams-Gessel, Vilma Irazola, Laura Gutierrez, Daniela Moyano, Thomas A Gaziano

Open access · goldAbstract readPragmatic Clinical TrialRandomized Controlled Trial
In one paragraph

Trial report in Journal of the American Heart Association, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 3 pooled it
4.2field-weighted citation impact, top 6% 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

16 citing papers in PubMed, 3 syntheses or guidelines pooled it, 29 citations in OpenAlex.

  1. Pooled it
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  13. Hypertension and Dyslipidaemia in Argentina: Patient Journey Stages.International journal of general medicine · 2022
    Review
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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

6 authors at 3 institutions in 2 countries.

Andrea Beratarrechea1 Department of Chronic Diseases South American Center of Excellence for Cardiovascular Health (CESCAS) Institute for Clinical Effectiveness and Health Policy (IECS) Buenos Aires Argentina.
Shafika Abrahams-Gessel2 Center for Health Decision Science Harvard T.H. Chan School of Public Health Boston MA.
Vilma Irazola1 Department of Chronic Diseases South American Center of Excellence for Cardiovascular Health (CESCAS) Institute for Clinical Effectiveness and Health Policy (IECS) Buenos Aires Argentina.
Laura Gutierrez1 Department of Chronic Diseases South American Center of Excellence for Cardiovascular Health (CESCAS) Institute for Clinical Effectiveness and Health Policy (IECS) Buenos Aires Argentina.
Daniela Moyano1 Department of Chronic Diseases South American Center of Excellence for Cardiovascular Health (CESCAS) Institute for Clinical Effectiveness and Health Policy (IECS) Buenos Aires Argentina.
Thomas A Gaziano2 Center for Health Decision Science Harvard T.H. Chan School of Public Health Boston MA.
Instituto de Efectividad Clínica y Sanitaria · ARBrigham and Women's Hospital · USDecision Sciences (United States) · US

Funding

MHealth interventions to improve access and coverage of uninsured people with high cardiovascular risk in ArgentinaR21TW010173 · FIC · BRIGHAM AND WOMEN'S HOSPITAL · PI GAZIANO, THOMAS A · 2016 to 2017
$342k
FIC NIH HHS R21 TW010173
6 · The paper itself

Abstract

Background Control of cardiovascular disease ( CVD ) risk factors is suboptimal in Argentina, despite the government's provision of free blood pressure and cholesterol-lowering medications for people without private insurance. We assessed whether community health workers' use of an integrated mH ealth tool encourages patients to attend visits at primary care clinics to improve CVD risk management in 2 provinces of Argentina. Methods and Results We conducted a pragmatic cluster randomized trial, with primary care clinics randomly assigned to intervention or control. Eligible people were aged 40 to 79 years, lived in the catchment area of primary care clinics, possessed a mobile phone for personal use, had public health coverage, and a 10-year CVD risk ≥10%. In the control arm, community health workers screened for CVD risk using a paper-based tool and encouraged high-risk people to present to the primary care clinics for care. In the intervention arm, community health workers used the mH ealth tool to calculate CVD risk and confirm a scheduled physician appointment. Primary outcomes were the proportion of participants who attended a baseline visit and completed at least 1 follow-up, respectively. We enrolled 755 people (376 interventions; 379 controls). Intervention participants were significantly more likely to complete baseline visits (49.4% versus 13.5%, P value 0.0008) and follow-up visits (31.9% versus 7.7%; P value 0.0041). The use of chronic medication and current smoking were significant predictors of primary outcomes. Conclusions Use of mH ealth tools identifies patients at high CVD risk in their home, increases the likelihood of participating in chronic CVD risk factor management, and strengthens referrals. Clinical Trial Registration URL : http://www.clinicaltrials.gov . Unique identifier: NCT 02913339.

Indexed as

Community Health WorkersHealth Services AccessibilityPrimary Health CareTelemedicineAdultAgedAppointments and SchedulesArgentinaCardiovascular DiseasesFemaleHumansInsurance, HealthMaleMass ScreeningMedically UninsuredMiddle AgedArgentinacardiovascularmHealthpreventionscreening

Identifiers

PMID30943824
PMCPMC6507203
OpenAlexW2929437320

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.