Evidence map›Paper›PMID 26187361›Full record

Observational studyThe Lancet. Global health2015

An assessment of community health workers' ability to screen for cardiovascular disease risk with a simple, non-invasive risk assessment instrument in Bangladesh, Guatemala, Mexico, and South Africa: an observational study.

Thomas A Gaziano, Shafika Abrahams-Gessel, Catalina A Denman, Carlos Mendoza Montano, Masuma Khanam, Thandi Puoane, Naomi S Levitt

Registry-linked trialAbstract readObservational Study
In one paragraph

Observational study in The Lancet. Global health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06258473 (Addressing Gaps in the Hypertension and Diabetes Care Continuum in Rural Bangladesh Through mHealth and Decentralized Primary Care), which is not on this map. Cited by 108 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
108citing papers in PubMed, 4 pooled it
–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.

NCT06258473 phase1recruitingnot on this mapstarted 2024, after this paper: background citation

Addressing Gaps in the Hypertension and Diabetes Care Continuum in Rural Bangladesh Through mHealth and Decentralized Primary Care: The Dinajpur Study

TypeinterventionalSponsorBRAC UniversityRan2024 to 2026Enrolled6,750ConditionsHypertension, DiabetesArmsMulticomponent decentralized care, mHealth
3 · Its place in the literature

Who cites it

108 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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48 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Thomas A GazianoDivision of Cardiovascular Medicine, Brigham and Women's Hospital, Boston, MA, USA. Electronic address: tgaziano@partners.org.
Shafika Abrahams-GesselCenter for Health Decision Science, Harvard School of Public Health, Boston, MA, USA.
Catalina A DenmanCentro de Estudios en Salud y Sociedad, El Colegio de Sonora, Sonora, Mexico.
Carlos Mendoza MontanoInstitute of Nutrition of Central America and Panama, Guatemala City, Guatemala.
Masuma KhanamInternational Center for Diarrhoeal Disease Research, Dhaka, Bangladesh.
Thandi PuoaneSchool of Public Health, University of the Western Cape, Cape Town, South Africa.
Naomi S LevittDepartment of Medicine, University of Cape Town, Cape Town, South Africa.

Funding

NHLBI NIH HHS HHSN268200900030CPHS HHS HHSN268200900030C
6 · The paper itself

Abstract

backgroundCardiovascular disease contributes substantially to the non-communicable disease (NCD) burden in low-income and middle-income countries, which also often have substantial health personnel shortages. In this observational study we investigated whether community health workers could do community-based screenings to predict cardiovascular disease risk as effectively as could physicians or nurses, with a simple, non-invasive risk prediction indicator in low-income and middle-income countries.

methodsThis observation study was done in Bangladesh, Guatemala, Mexico, and South Africa. Each site recruited at least ten to 15 community health workers based on usual site-specific norms for required levels of education and language competency. Community health workers had to reside in the community where the screenings were done and had to be fluent in that community's predominant language. These workers were trained to calculate an absolute cardiovascular disease risk score with a previously validated simple, non-invasive screening indicator. Community health workers who successfully finished the training screened community residents aged 35-74 years without a previous diagnosis of hypertension, diabetes, or heart disease. Health professionals independently generated a second risk score with the same instrument and the two sets of scores were compared for agreement. The primary endpoint of this study was the level of direct agreement between risk scores assigned by the community health workers and the health professionals.

findingsOf 68 community health worker trainees recruited between June 4, 2012, and Feb 8, 2013, 42 were deemed qualified to do fieldwork (15 in Bangladesh, eight in Guatemala, nine in Mexico, and ten in South Africa). Across all sites, 4383 community members were approached for participation and 4049 completed screening. The mean level of agreement between the two sets of risk scores was 96·8% (weighted κ=0·948, 95% CI 0·936-0·961) and community health workers showed that 263 (6%) of 4049 people had a 5-year cardiovascular disease risk of greater than 20%.

interpretationHealth workers without formal professional training can be adequately trained to effectively screen for, and identify, people at high risk of cardiovascular disease. Using community health workers for this screening would free up trained health professionals in low-resource settings to do tasks that need high levels of formal, professional training.

Indexed as

Community Health WorkersAdultAgedBangladeshCardiovascular DiseasesClinical CompetenceEducation, MedicalFemaleGuatemalaHumansMaleMass ScreeningMexicoMiddle AgedRisk AssessmentRisk Factors

Identifiers

PMID26187361
PMCPMC4795807

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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.