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Cardiovascular prevention model from Kenyan slums to migrants in the Netherlands

Overview of attention for article published in Globalization and Health, March 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)

Mentioned by

policy
1 policy source
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6 X users

Readers on

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128 Mendeley
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Title
Cardiovascular prevention model from Kenyan slums to migrants in the Netherlands
Published in
Globalization and Health, March 2015
DOI 10.1186/s12992-015-0095-y
Pubmed ID
Authors

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

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.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 128 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Unknown 127 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 27 21%
Researcher 23 18%
Student > Ph. D. Student 18 14%
Student > Doctoral Student 8 6%
Student > Bachelor 8 6%
Other 20 16%
Unknown 24 19%
Readers by discipline Count As %
Medicine and Dentistry 26 20%
Nursing and Health Professions 19 15%
Social Sciences 16 13%
Business, Management and Accounting 6 5%
Psychology 6 5%
Other 25 20%
Unknown 30 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 March 2022.
All research outputs
#4,535,152
of 25,374,647 outputs
Outputs from Globalization and Health
#648
of 1,226 outputs
Outputs of similar age
#52,195
of 273,968 outputs
Outputs of similar age from Globalization and Health
#10
of 15 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,226 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.1. This one is in the 46th percentile – i.e., 46% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 273,968 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.