Evidence map›Paper›PMID 38459455›Full record

ArticleBMC pregnancy and childbirth2024

Comparison of Janani Suraksha Yojana (JSY) and augmented Arogya Laxmi scheme (ALS) in improving maternal and child health outcomes in urban settlements of Hyderabad, South India.

E R Nandeep, Raja Sriswan Mamidi, Sreenu Pagidoju, Spandana Pamidi, Mahesh Kumar Mummadi, Venkata Raji Reddy G, Chinta Khadar Babu, Samarasimha Reddy N, Jj Babu Geddam

Abstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

9 authors.

E R NandeepClinical Epidemiology Division, Indian Council of Medical Research-National Institute of Nutrition (ICMR-NIN), Hyderabad, India.
Raja Sriswan MamidiMaternal and Child Health, Nutrition Division, Indian Council of Medical Research-National Institute of Nutrition (ICMR-NIN), Hyderabad, India.
Sreenu PagidojuClinical Epidemiology Division, Indian Council of Medical Research-National Institute of Nutrition (ICMR-NIN), Hyderabad, India.
Spandana PamidiModel Rural Health Research Unit, Chandragiri, Tirupathi, India.
Mahesh Kumar MummadiClinical Epidemiology Division, Indian Council of Medical Research-National Institute of Nutrition (ICMR-NIN), Hyderabad, India.
Venkata Raji Reddy GClinical Epidemiology Division, Indian Council of Medical Research-National Institute of Nutrition (ICMR-NIN), Hyderabad, India.
Chinta Khadar BabuClinical Epidemiology Division, Indian Council of Medical Research-National Institute of Nutrition (ICMR-NIN), Hyderabad, India.
Samarasimha Reddy NClinical Epidemiology Division, Indian Council of Medical Research-National Institute of Nutrition (ICMR-NIN), Hyderabad, India.
Jj Babu GeddamClinical Epidemiology Division, Indian Council of Medical Research-National Institute of Nutrition (ICMR-NIN), Hyderabad, India. geddambabuj@gmail.com.

Funding

ICMR-ICSSR Joint Research Programme Grant A/C No. 241
6 · The paper itself

Abstract

backgroundIndia accounts for the largest number of global neonatal deaths with around 20 per 1000 live births. To improve the utilization of government services for institutional deliveries, Augmented Arogya Laxmi Scheme (ALS) was launched in Telangana state of southern India. This study assessed the effectiveness of the Janani Suraksha Yojana (JSY), which combines cash assistance with delivery and post-delivery care, in comparison to ALS in improving the outcomes related to antenatal, natal, and postnatal care in urban settlements of Hyderabad, Telangana, southern India.

methodsThis was a two-year cross-sectional study conducted in 14 urban settlements of Hyderabad city from September 2017- August 2019. All mothers delivered during the 18 months preceding the survey were enrolled after a written informed consent. Field investigators collected data on variables related to socio-demographic characteristics, awareness, and utilization of JSY and ALS programs. Variables related to antenatal history, antenatal care, complications during birth, delivery outcomes, newborn care, and postnatal care till 28 days were assessed. We used multivariable logistic regression model to examine the association between the different maternal, child, and socio-demographic characteristics of the two study groups.

resultsA total of 926 mothers were beneficiaries of Janani Suraksha Yojana (JSY) program while 933 mothers were beneficiaries of augmented Arogya Laxmi Scheme (ALS). Mothers in ALS group (AOR 1.71; 95% CI 1.21-2.43) were at increased odds of having more than eight antenatal care (ANC) visits compared to the mothers availing JSY. Mothers in ALS group were at decreased odds of having complications like severe pain in the abdomen (AOR 0.43; 95% CI 0.22-0.86), swelling of legs or feet (AOR 0.59; 95% CI 0.44-0.80) compared to mothers in JSY group. Children of mothers in the ALS group had increased odds of receiving breastfeeding within 30 minutes of birth (AOR 1.46; 95% CI 1.13-1.88) compared to children of mothers in JSY group.

conclusionsThe newly launched augmented ALS led to the increased utilization of the government health facilities and improved the maternal and child health outcomes.

Indexed as

Maternal Health ServicesChildCross-Sectional StudiesDelivery, ObstetricFemaleHumansIndiaInfant, NewbornOutcome Assessment, Health CarePregnancyPrenatal CareArogya Laxmi SchemeConditional cash transfersDeliveriesIndiaJanani Suraksha YojanaMaternal and child health

Identifiers

PMID38459455
PMCPMC10921561

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.