Evidence map›Paper›PMID 35851283›Full record

Trial reportBMJ global health2022

Effect of home-based childcare on childhood mortality in rural Maharashtra, India: a cluster randomised controlled trial.

Ashish Rambhau Satav, Kavita Ashish Satav, Abhijeet Bharadwaj, Jayashree Pendharkar, Vibhawari Dani, Suresh Ughade, Dhananjay Raje, Eric A F Simões

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report in BMJ global health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02473796 (Effect of Home Based Child Care on Child Mortality and Malnutrition in a Tribal Population of Melghat, India), which is not on this map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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.

NCT02473796 nacompletednot on this map

Effect of Home Based Child Care on Child Mortality and Malnutrition in a Tribal Population of Melghat, India: Cluster Randomised Control Field Trial

TypeinterventionalSponsorMAHAN TrustRan2004 to 2010Enrolled7,594ConditionsAcute Respiratory Tract Infections, Diarrhea, Malaria, Neonatal SepsisArmsHome based child care
3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Observational
  2. Article
  3. Article
  4. Review
  5. Article
  6. Observational
  7. Article
  8. 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

8 authors.

Ashish Rambhau SatavCommunity Medicine, MAHAN Trust, Dharni, Amaravati, Maharashtra, India drashish@mahantrust.org.
Kavita Ashish SatavOphthalmology, MAHAN Trust, Dharni, Amravati, Maharashtra, India.
Abhijeet BharadwajPediatrics, MAHAN Trust, Nagpur, Maharashtra, India.
Jayashree PendharkarNutrition, MAHAN Trust, Nagpur, Maharashtra, India.
Vibhawari DaniPediatrics, MAHAN Trust, Nagpur, Maharashtra, India.
Suresh UghadePreventive and Social Medicine, Government Medical College and Hospital Nagpur, Nagpur, Maharashtra, India.
Dhananjay RajeBiostatistics, MAHAN Trust, Nagpur, Maharashtra, India.
Eric A F SimõesDepartment of Paediatrics, University of Colorado School of Medicine and Professor of Epidemiology, Aurora, Colorado, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMelghat, an impoverished rural area in Maharashtra state, India; has scarce hospital services and low health-seeking behaviour. At baseline (2004) the under-five mortality rate (U5MR) (number of deaths in children aged 0-5 years/1000 live births) was 147.21 and infant mortality rate (IMR) (number of deaths of infants aged under 1 year/1000 live births) was 106.6 per 1000 live births. We aimed at reducing mortality rates through home-based child care (HBCC) using village health workers (VHWs).

methodsA cluster-randomised control trial was conducted in 34 randomly assigned clusters/villages of Melghat, Maharashtra state, between 2004 and 2009. Participants included all under-five children and their parents. Interventions delivered through VHWs were patient-public involvement, newborn care, disease management and behaviour change communications. Primary outcome indicators were U5MR and IMR. Secondary outcome indicators were neonatal mortality rate (NMR) (number of neonatal deaths aged 0-28 days/1000 live births) and perinatal mortality rate (PMR) (number of stillbirths and early neonatal deaths/1000 total births). Analysis was by intention-to-treat at the individual level. This trial was extended to a service phase (2010-2015) in both arms and a government replication phase (2016-2019) only for the intervention clusters/areas (IA).

findingsThere were 18 control areas/clusters (CA) allocated and analysed with 4426 individuals, and 16 of 18 allocated IA, analysed with 3230 individuals. The IMR and U5MR in IA were reduced from 106.60 and 147.21 to 32.75 and 50.38 (reduction by 69.28% and 65.78%, respectively) compared with increases in CA from 67.67 and 105.3 to 86.83 and 122.8, respectively, from baseline to end of intervention. NMR and PMR in IA showed reductions from 50.76 to 22.67 (by 55.34%) and from 75.06 to 24.94 (by 66.77%) respectively. These gains extended to villages in the service and replication phases.

interpretationThis socio-culturally contextualised model for HBCC through VHWs backed up with institutional support is effective for significant reduction of U5MR, IMR and NMR in impoverished rural areas. This reduction was maintained in the study area during the service phase, indicating feasibility of implementation in large-scale public health programmes. Replicability of the model was demonstrated by a linear decline in all the mortality rates in 20 new villages during the government phase. TRIAL REGISTRATION NUMBER: NCT02473796.

Indexed as

Child MortalityPerinatal DeathChildChild CareFemaleHumansIndiaInfantInfant MortalityInfant, NewbornPregnancyChild healthCluster randomized trialHealth education and promotionHygienePublic Health

Identifiers

PMID35851283
PMCPMC9297228

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Registered trials

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.