Evidence map›Paper›PMID 25890177›Full record

ArticleGlobalization and health2015

Cardiovascular prevention model from Kenyan slums to migrants in the Netherlands.

Steven van de Vijver, Samuel Oti, Eric Moll van Charante, Steven Allender, Charlie Foster, Joep Lange, Brian Oldenburg, Catherine Kyobutungi, Charles Agyemang

Open access · goldAbstract read
In one paragraph

Article in Globalization and health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.2field-weighted citation impact, top 15% 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

4 citing papers in PubMed, 10 citations in OpenAlex.

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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

9 authors at 6 institutions in 4 countries.

Steven van de VijverAfrican Population and Health Research Center, Nairobi, Kenya. svijver@aphrc.org.
Samuel OtiAfrican Population and Health Research Center, Nairobi, Kenya. soti@aphrc.org.
Eric Moll van CharanteDepartment of Family Medicine, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands. e.p.mollvancharante@amc.uva.nl.
Steven AllenderDepartment of Public Health, Deakin University, Melbourne, Australia. steven.allender@deakin.edu.au.
Charlie FosterNuffield Department of Population Health, University of Oxford, Oxford, United Kingdom. Charlie.Foster@dph.ox.ac.uk.
Joep LangeAfrican Population and Health Research Center, Nairobi, Kenya. j.lange@aighd.org.
Brian OldenburgMelbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia. brian.oldenburg@monash.edu.
Catherine KyobutungiAfrican Population and Health Research Center, Nairobi, Kenya. ckyobutungi@aphrc.org.
Charles AgyemangDepartment of Public Health, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands. c.o.agyemang@amc.uva.nl.
Academic Medical Center · NLAfrican Population and Health Research Center · KEUniversity of Amsterdam · NLDeakin University · AUUniversity of Melbourne · AUUniversity of Oxford · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiovascular diseases (CVD) are the main cause of morbidity and mortality worldwide. As prevention and treatment of CVD often requires active screening and lifelong follow up it is a challenge for health systems both in high-income and low and middle-income countries to deliver adequate care to those in need, with efficient use of resources.We developed a health service model for primary prevention of CVD suitable for implementation in the Nairobi slums, based on best practices from public health and the private sectors. The model consists of four key intervention elements focusing on increasing awareness, incentives for promoting access to screening and treatment, and improvement of long-term adherence to prescribed medications. More than 5,000 slum dwellers aged ≥35 years and above have been screened in the study resulting in more than 1000 diagnosed with hypertension and referred to the clinic.Some marginalized groups in high-income countries like African migrants in the Netherlands also have low rates of awareness, treatment and control of hypertension as the slum population in Nairobi. The parallel between both groups is that they have a combination of risky lifestyle, are prone to chronic diseases such as hypertension, have limited knowledge about hypertension and its complications, and a tendency to stay away from clinics partly due to cultural beliefs in alternative forms of treatment, and lack of trust in health providers. Based on these similarities it was suggested by several policymakers that the model from Nairobi can be applied to other vulnerable populations such as African migrants in high-income countries. The model can be contextualized to the local situation by adapting the key steps of the model to the local settings.The involvement and support of African communities' infrastructures and health care staff is crucial, and the most important enabler for successful implementation of the model in migrant communities in high-income countries. Once these stakeholders have expressed their interest, the impact of the adapted intervention can be measured through an implementation research approach including collection of costs from health care providers' perspective and health effects in the target population, similar to the study design for Nairobi.

Indexed as

Models, TheoreticalPoverty AreasTransients and MigrantsCardiovascular DiseasesHumansKenyaNetherlands

Identifiers

PMID25890177
PMCPMC4363048
OpenAlexW2156936404

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.