Evidence map›Paper›PMID 31720361›Full record

ArticleSSM - population health2019

Universalisation versus targeting in maternal and child health care provisioning: Evidence from India.

Sohini Paul, Sourabh Paul, K S James

Abstract read
In one paragraph

Article in SSM - population health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

5 citing papers in PubMed.

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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

3 authors.

Sohini PaulPopulation Council, India Habitat Centre, Zone 5A, Ground Floor Lodi Road, New Delhi, 110003, India.
Sourabh PaulIndian Institute of Technology Delhi, Hauz Khas, New Delhi, 110016, India.
K S JamesInternational Institute of Population Sciences, Govandi Station Road, Deonar, Opposite Sanjona Chamber, Mumbai, Maharashtra, 400088, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To eradicate the persistent inequality in utilisation of Maternal Health Care Services (MHCS), India's Government has adopted various programmes under the National Rural Health Mission (NRHM) in 2005. The Janani Suraksha Yojana (JSY), a demand-side intervention, is one of the flagship programmes under the NRHM. Using two rounds of the nationally representative National Family Health Survey (NFHS) data collected in 2005-06 and 2015-16, respectively, we attempt to map the extent to which inequality in MHCS utilisation has changed over time across states after the implementation of NRHM; analyse whether there are differences in the patterns of inequality prevalent in the universal and targeted states; and find evidence to decide whether universalisation is more effective than targeting in reducing inequality in MHCS utilisation. We measure relative inequality and use the difference in difference technique to answer the research questions. For analysis, we have considered five outcome variables spanning across three stages of the continuum of care in maternal health. We find that relative inequality in MHCS utilisation declined across states during the period 2006-16, though in varying degrees. Universal states experienced a higher level of inequality as compared to the targeted states. However, universal states observed a higher decline in inequality over time relative to the targeted states controlling for other state-level characteristics. The study establishes that the programme implementation strategy and conditional cash transfer programmes influence the reduction of inequality in MHCS utilisation. This study makes an important contribution to the literature on public health policy and inequality in health care utilisation by highlighting the differential impact of universalisation and targeting on reducing inequality in the use of MHCS.

Indexed as

Indian statesInequalityJanani suraksha yojanaMaternal health care servicesTargetingUniversalisation

Identifiers

PMID31720361
PMCPMC6838526

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.