Evidence map›Paper›PMID 32318480›Full record

ArticleJournal of family medicine and primary care2020

Preparedness for health-related SDGs among healthcare workers in a rural district of Maharashtra with reference to achievements of MDGs 4, 5 and 6.

Anuradha Kunal Shah, Gajanan D Velhal

Open access · goldAbstract read
In one paragraph

Article in Journal of family medicine and primary care, 2020. 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
–field-weighted citation impact, top 96% 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, 7 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

2 authors.

Anuradha Kunal ShahCommunity Medicine, Seth G S Medical College and KEM Hospital, Parel, Mumbai, Maharashtra, India.
Gajanan D VelhalCommunity Medicine, Seth G S Medical College and KEM Hospital, Parel, Mumbai, Maharashtra, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHealthcare workers at field level constitute a major pillar in the large public health infrastructure of India. At this juncture, it becomes necessary to understand their role in achieving MDGs, issues, and challenges on the field and how 'prepared' they are to embark upon the new responsibilities in the coming 15 years to achieve the SDGs. This will form a springboard for the next generation of healthcare providers to successfully achieve the SDGs. MATERIALS AND

methodsThis qualitative research study was conducted in the rural part of Thane district from September 2016- March 2017. Four Focus Group Discussions (FGDs) were done to assess the role, activities, reasons for successes and shortcomings of MDG indicators for healthcare providers and thereby assess preparedness for achieving health-related SDGs at the grass-root level.

resultsMajor challenges faced in the field were cultural barriers, poverty, illiteracy, fear, disregard for the health workers. There were challenges in human resource management such as workload, unpaid work, dissatisfaction, grievance redressal, leaves, etc., Suggested technical and health-centric interventions were skill development, supportive supervision, incentives and better implementation of new policies. Training in soft skills is needed.

conclusionsThe health workers seem to be unaware of the term MDGs/SDGs but, showed a deep sense of commitment towards improving the health of people and meeting their work targets despite the challenges faced in the field. Their justified concerns need to be addressed to have better retention and improved performance.

Indexed as

ASHAfocus group discussionhealth workersqualitative researchSDGs

Identifiers

PMID32318480
PMCPMC7114023
OpenAlexW3010272069

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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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.