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Identification of priority health conditions for field-based screening in urban slums in Bangalore, India

Overview of attention for article published in BMC Public Health, March 2018
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Title
Identification of priority health conditions for field-based screening in urban slums in Bangalore, India
Published in
BMC Public Health, March 2018
DOI 10.1186/s12889-018-5194-2
Pubmed ID
Authors

Sarah Abdi, Avanti Wadugodapitiya, Sandra Bedaf, Carolin Elizabeth George, Gift Norman, Mark Hawley, Luc de Witte

Abstract

Urban slums are characterised by unique challenging living conditions, which increase their inhabitants' vulnerability to specific health conditions. The identification and prioritization of the key health issues occurring in these settings is essential for the development of programmes that aim to enhance the health of local slum communities effectively. As such, the present study sought to identify and prioritise the key health issues occurring in urban slums, with a focus on the perceptions of health professionals and community workers, in the rapidly growing city of Bangalore, India. The study followed a two-phased mixed methods design. During Phase I of the study, a total of 60 health conditions belonging to four major categories: - 1) non-communicable diseases; 2) infectious diseases; 3) maternal and women's reproductive health; and 4) child health - were identified through a systematic literature review and semi-structured interviews conducted with health professionals and other relevant stakeholders with experience working with urban slum communities in Bangalore. In Phase II, the health issues were prioritised based on four criteria through a consensus workshop conducted in Bangalore. The top health issues prioritized during the workshop were: diabetes and hypertension (non-communicable diseases category), dengue fever (infectious diseases category), malnutrition and anaemia (child health, and maternal and women's reproductive health categories). Diarrhoea was also selected as a top priority in children. These health issues were in line with national and international reports that listed them as top causes of mortality and major contributors to the burden of diseases in India. The results of this study will be used to inform the development of technologies and the design of interventions to improve the health outcomes of local communities. Identification of priority health issues in the slums of other regions of India, and in other low and lower middle-income countries, is recommended.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 165 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 165 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 28 17%
Researcher 19 12%
Student > Ph. D. Student 14 8%
Student > Bachelor 14 8%
Student > Postgraduate 10 6%
Other 26 16%
Unknown 54 33%
Readers by discipline Count As %
Medicine and Dentistry 29 18%
Nursing and Health Professions 25 15%
Social Sciences 16 10%
Agricultural and Biological Sciences 6 4%
Arts and Humanities 5 3%
Other 17 10%
Unknown 67 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 24 March 2022.
All research outputs
#18,892,644
of 23,408,972 outputs
Outputs from BMC Public Health
#13,194
of 15,237 outputs
Outputs of similar age
#258,999
of 332,315 outputs
Outputs of similar age from BMC Public Health
#289
of 311 outputs
Altmetric has tracked 23,408,972 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 15,237 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.1. This one is in the 6th percentile – i.e., 6% 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 332,315 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 311 others from the same source and published within six weeks on either side of this one. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.