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Differential effects of community health worker visits across social and economic groups in Uttar Pradesh, India: a link between social inequities and health disparities

Overview of attention for article published in International Journal for Equity in Health, March 2017
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Title
Differential effects of community health worker visits across social and economic groups in Uttar Pradesh, India: a link between social inequities and health disparities
Published in
International Journal for Equity in Health, March 2017
DOI 10.1186/s12939-017-0538-6
Pubmed ID
Authors

Aparna Seth, Shweta Tomar, Kultar Singh, Dharmendra Chandurkar, Amit Chakraverty, Arnab Dey, Arup K. Das, Katherine Hay, Niranjan Saggurti, Sabrina Boyce, Anita Raj, Jay G. Silverman

Abstract

Uttar Pradesh (UP) accounts for the largest number of neonatal deaths in India. This study explores potential socio-economic inequities in household-level contacts by community health workers (CHWs) and whether the effects of such household-level contacts on receipt of health services differ across populations in this state. A multistage sampling design identified live births in the last 12 months across the 25 highest-risk districts of UP (N = 4912). Regression models described the relations between household demographics (caste, religion, wealth, literacy) and CHW contact, and interactions of demographics and CHW contact in predicting health service utilization (> = 4 antenatal care (ANC) visits, facility delivery, modern contraceptive use). No differences were found in likelihood of CHW contact based on caste, religion, wealth or literacy. Associations of CHW contact with receipt of ANC and facility delivery were significantly affected by religion, wealth and literacy. CHW contact increased the odds of 4 or more ANC visits only among non-Muslim women, increased the odds of both four or more ANC visits and facility delivery only among lower wealth women, increased the odds of facility delivery to a greater degree among illiterate vs. literate women. CHW visits play a vital role in promoting utilization of critical maternal health services in UP. However, significant social inequities exist in associations of CHW visits with such service utilization. Research to clarify these inequities, as well as training for CHWs to address potential biases in the qualities or quantity of their visits based on household socio-economic characteristics is recommended.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 197 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Unknown 196 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 29 15%
Student > Master 28 14%
Student > Bachelor 21 11%
Student > Ph. D. Student 19 10%
Student > Doctoral Student 11 6%
Other 29 15%
Unknown 60 30%
Readers by discipline Count As %
Medicine and Dentistry 38 19%
Social Sciences 33 17%
Nursing and Health Professions 26 13%
Psychology 6 3%
Unspecified 6 3%
Other 21 11%
Unknown 67 34%
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 15 March 2018.
All research outputs
#15,483,026
of 23,007,887 outputs
Outputs from International Journal for Equity in Health
#1,550
of 1,923 outputs
Outputs of similar age
#195,013
of 308,052 outputs
Outputs of similar age from International Journal for Equity in Health
#31
of 36 outputs
Altmetric has tracked 23,007,887 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,923 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.3. This one is in the 13th percentile – i.e., 13% 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 308,052 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.