Evidence map›Paper›PMID 31035969›Full record

ArticleBMC public health2019

Health issues in a Bangalore slum: findings from a household survey using a mobile screening toolkit in Devarajeevanahalli.

Carolin Elizabeth George, Gift Norman, Avanti Wadugodapitya, Shyam Vasudeva Rao, Shailendra Nalige, Varshapriya Radhakrishnan, Sapna Behar, Luc de Witte

Abstract read
In one paragraph

Article in BMC public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 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.

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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  7. Why Type 2 Diabetes Risk Factors Are Concerningly High in Slum Areas?International journal of preventive medicine · 2025
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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

8 authors.

Carolin Elizabeth GeorgeDivision of Community Health and Family Medicine, Bangalore Baptist Hospital, Bellary Road, Hebbal, Bangalore, 560024, India. carolinelizabethj@gmail.com.ORCID http://orcid.org/0000-0001-7086-200X
Gift NormanDivision of Community Health and Family Medicine, Bangalore Baptist Hospital, Bellary Road, Hebbal, Bangalore, 560024, India.
Avanti WadugodapityaZuyd University of Applied Sciences, Nieuw Eyckholt 300, 6419, DJ, Heerlen, The Netherlands.
Shyam Vasudeva RaoE Health Enablers Innovations Pvt. Ltd, Binnamangala, Stage 1, Indiranagar, Bangalore, India.
Shailendra NaligeE Health Enablers Innovations Pvt. Ltd, Binnamangala, Stage 1, Indiranagar, Bangalore, India.
Varshapriya RadhakrishnanIcarus Nova, No 7, Rogers Road, Richards Town, Bangalore, India.
Sapna BeharIcarus Nova, No 7, Rogers Road, Richards Town, Bangalore, India.
Luc de WitteCentre for Assistive Technology and Connected Healthcare, University of Sheffield, Portobello, Sheffield, UK.

Funding

Engineering and Physical Sciences Research Council GCRF_IS_2017
6 · The paper itself

Abstract

backgroundSlums are home to nearly one billion people in the world and are expanding at an exponential rate. Devarjeevanahalli is a large notified slum in Bangalore, South India which is characterised by poverty, overcrowding, hazardous living environment and social complexities. The poor living conditions not only affect the health of the people living there but also poses distinctive challenges to conducting health surveys. The purpose of this paper is to report the findings of a household survey that was done to study the health condition of people living in a slum.

methodsA community-based cross-sectional survey was designed to determine the prevalence of health conditions using a mobile screening toolkit-THULSI (Toolkit for Healthy Urban Life in Slums Initiative). Devarjeevanahalli slum was chosen purposively as it is fairly representative of any slum in a big city in India. Sample size was calculated as 1100 households and demographic parameters at the household level and parameters related to priority health conditions (hypertension, diabetes mellitus, anaemia and malnutrition) at the individual level were studied. Six zones within the slum were purposively selected and all the contiguous households were selected. The last of the six zones was partially surveyed as the desired sample size was achieved.

resultsA total of 1186 households were surveyed and 3693 people were screened. More than three fourth (70.4%) of the population were below poverty line. Only one third had a regular job and the average daily income was 5.3$ and 2.6$ in men and women respectively. The prevalence of hypertension (35.5%), diabetes (16.6%) and anaemia (70.9%) was high in the screened slum population. Most of the people (56.5% of hypertensives and 34.4% diabetics) were screened for the first time. Almost half of the children under the age of five years were stunted.

conclusionsPoor income security and huge burden of health issues were reported among adults and children in the household health screening in a large notified slum in South India. Most people were unaware of their disease condition prior to the screening. Relatively simple technological solutions enabled the local health team to screen the slum population despite many challenges.

Indexed as

Mobile ApplicationsPoverty AreasAdolescentAdultAnemiaChildChild, PreschoolCross-Sectional StudiesDiabetes MellitusFemaleHealth PrioritiesHealth SurveysHumansHypertensionIndiaInfantHealth problemsScreeningSlumTechnology

Identifiers

PMID31035969
PMCPMC6489349

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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.