Evidence map›Paper›PMID 39790771›Full record

ArticleJournal of family medicine and primary care2024

Assessment of services provided by urban ASHAs to mothers of urban slums in Lucknow district - A cross-sectional study.

Santosh Kumar, Monika Agarwal, H Dinesh Kumar

Abstract read
In one paragraph

Article in Journal of family medicine and primary care, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Santosh KumarDepartment of Community Medicine, G.S.V.M. Medical College Kanpur, Uttar Pradesh, India.
Monika AgarwalUpgraded Department of Community Medicine and Public Health, K.G.M.U, Lucknow, Uttar Pradesh, India.
H Dinesh KumarUpgraded Department of Community Medicine and Public Health, K.G.M.U, Lucknow, Uttar Pradesh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Context: Maternal and child health is an important public health issue which indicates the level of socioeconomic development in any country. Urban accredited social health activist (U-ASHA) workers in India are the main front-line urban health workers in primary health care delivery for slum and urban poor. Aims: To assess the services provided by U-ASHA workers to mothers of urban slums for antenatal and postnatal care. Settings and Design: Cross-sectional study in urban slums of Lucknow where recently delivered women (up to 2 years) were selected. Methods and Material: To include the desired sample size of 320 recently delivered women (RDW), the U-ASHAs of the selected slums were contacted and a list of RDWs was made for each slum. By simple random sampling, 20 RDWs were selected from each slum. A predesigned and pretested interview schedule was used for data collection. Statistical Analysis Used: SPSS-version-26 was used. Results: The registered pregnancies were 95%. Only 43.1% of RDW had at least four ANC visits. The institutional delivery was 84.7%. Only 27.7% of RDW visited health facilities for PNC services. About 39.4% received Janani Suraksha Yojana incentives. Contraceptive users were only 41.9%. Counseling by U-ASHA workers regarding all the ANC and PNC services had better utilization among counseled RDW except for child-care counseling. Conclusions: Counseling services regarding ANC and PNC services have a significant impact on their utilization. Better results can be achieved if the counseling by U-ASHA is enhanced to reach out more beneficiaries.

Indexed as

CounselingRCHrecently delivered womenslumsU-ASHA

Identifiers

PMID39790771
PMCPMC11709033

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LicenceCC BY-NC-SA
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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.