Evidence map›Paper›PMID 31041233›Full record

ArticleJournal of family medicine and primary care2019

Awareness and utilization of social welfare schemes by elderly persons residing in an urban resettlement colony of Delhi.

Anil Kumar Goswami, S Ramadass, Mani Kalaivani, Baridalyne Nongkynrih, Shashi Kant, Sanjeev Kumar Gupta

Open access · goldAbstract read
In one paragraph

Article in Journal of family medicine and primary care, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.4field-weighted citation impact, top 13% 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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 20 citations in OpenAlex.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Anil Kumar GoswamiCentre for Community Medicine, All India Institute of Medical Sciences, New Delhi, India.
S RamadassCentre for Community Medicine, All India Institute of Medical Sciences, New Delhi, India.
Mani KalaivaniDepartment of Biostatistics, All India Institute of Medical Sciences, New Delhi, India.
Baridalyne NongkynrihCentre for Community Medicine, All India Institute of Medical Sciences, New Delhi, India.
Shashi KantCentre for Community Medicine, All India Institute of Medical Sciences, New Delhi, India.
Sanjeev Kumar GuptaCentre for Community Medicine, All India Institute of Medical Sciences, New Delhi, India.
All India Institute of Medical Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDemographic transition increased the proportion of elderly in India. Elderly persons experience increased economic dependency for their day-to-day existence. The Government of India provides monetary benefit through social welfare schemes. Health outcomes of the elderly improve when they are economically independent. We aimed to assess the awareness and utilization of social welfare schemes among elderly persons in an urban resettlement colony of Delhi. MATERIALS AND

methodsThis was a community-based cross-sectional study conducted from February to May 2018. Two specially recruited interviewers administered the self-developed semi-structured interview schedule. It consisted of sociodemographic data, awareness, and utilization of various schemes.

resultsA total of 931 [416 (37.4%) males and 515 (55.3%) females] participants completed the interview. Of the total, 809 (86.9%) participants were aware of at least one social welfare scheme. Participants utilizing any of the social welfare schemes were 393 (42.2%). Females utilized the social welfare schemes almost twice as compared to males (AOR = 1.7, 95% CI: 1.1-2.6). Participants aged 75 years and above had four times higher utilization of social welfare schemes compared to 60-64 years age group (AOR = 3.9, 95% CI: 2.4-6.4).

conclusionAlthough the awareness of social welfare schemes among elderly persons was good, their utilization has scope for significant improvement. Focus is needed on elderly males and among the younger elderly persons.

Indexed as

Awarenesselderlysocial welfareurbanutilization

Identifiers

PMID31041233
PMCPMC6482716
OpenAlexW2926811861

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.