Evidence map›Paper›PMID 36438537›Full record

ArticleIndian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine

Human Milk Bank in a Rural Setup - A Success Story.

Bhavana Lakhkar, Sachin Damke, Revatdhamma Meshram

Open access · goldAbstract read
In one paragraph

Article in Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 40% of its field
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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

3 authors at 1 institution in 1 country.

Bhavana LakhkarDepartment of Neonatology, JNMC, Sawangi Meghe Wardha, DMIMS, Maharashtra, India.
Sachin DamkeDepartment of Pediatrics, JNMC, Sawangi Meghe Wardha, DMIMS, Maharashtra, India.
Revatdhamma MeshramDepartment of Pediatrics, JNMC, Sawangi Meghe Wardha, DMIMS, Maharashtra, India.
Datta Meghe Institute of Medical Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This article describes the experience of a rural human milk bank, with the problems faced in first 6 months including the coronavirus disease (COVID) crisis and interventions leading to success. Methods: The study included individual counselling by dedicated counsellors, focused counselling of primipara mothers seeking the help of obstetricians, counselling of pre-term mothers by neo-natal nurses, periodically delivered information in post-natal wards, and counselling of grandmothers and husbands. Results: The COVID crisis was dealt with donations from reverse transcriptase-polymerase chain reaction-negative mothers with social distancing and mask use. Younger, educated, working mothers with normal delivery and from middle-income families were easy to counsel. Periodic announcements in wards significantly increased awareness about milk banks and donation. Pre-term mothers could be motivated when their baby was nil by mouth or they saw other babies in need of milk. Lactation support to mothers with breast problems, especially in primipara, helps in getting more donors. Counselling of fathers was easier than that of grandmothers. Conclusions: Structured awareness programs and counselling strategies along with education of grandmothers and husbands were very effective in increasing human milk donation.

Indexed as

Human donor milkhuman milk bankmilk donation

Identifiers

PMID36438537
PMCPMC9693948
OpenAlexW4310463478

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.