Evidence map›Paper›PMID 33954074›Full record

ArticleCureus2021

Development of a Questionnaire to Assess the Psychosocial Effects of COVID-19 on Peripartum Women.

Archana Kumari, Keerthana Rajasekaran, Piyush Ranjan, Ashish D Upadhyay, Anju Singh, Rakesh Kumar Chadda, Neerja Bhatla

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

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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

7 authors at 1 institution in 1 country.

Archana KumariObstetrics and Gynaecology, All India Institute of Medical Sciences, New Delhi, New Delhi, IND.
Keerthana RajasekaranObstetrics and Gynaecology, All India Institute of Medical Sciences, New Delhi, New Delhi, IND.
Piyush RanjanMedicine, All India Institute of Medical Sciences, New Delhi, New Delhi, IND.
Ashish D UpadhyayStatistics, All India Institute of Medical Sciences, New Delhi, New Delhi, IND.
Anju SinghObstetrics and Gynaecology, All India Institute of Medical Sciences, New Delhi, New Delhi, IND.
Rakesh Kumar ChaddaPsychiatry, All India Institute of Medical Sciences, New Delhi, New Delhi, IND.
Neerja BhatlaObstetrics and Gynaecology, All India Institute of Medical Sciences, New Delhi, New Delhi, IND.
All India Institute of Medical Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective The social and behavioral changes brought about by the coronavirus disease 2019 (COVID-19) pandemic have led to adverse consequences on the psychosocial functioning of peripartum women. Therefore, we developed and validated a tool to assess the psychosocial effect of the pandemic among these women. Methods The questionnaire was developed using a scientifically accepted systematic methodology comprising literature search, focus-group discussion (FGD), expert evaluation, pretesting, and validation. Results The final questionnaire consists of 38 questions, and it has a Cronbach's α value of 0.90 and a Kaiser-Meyer-Olkin (KMO) value of 0.773. Conclusion The questionnaire has good reliability and face, content, and construct validity. It can be used to assess the psychosocial functioning of peripartum women in low middle-income countries and help perinatal mental health specialists to devise strategies to cope with the psychological impact of COVID-19-like pandemics on peripartum women.

Indexed as

behaviorcovid-19peripartumpregnancypsycho- social functioningquestionnaire

Identifiers

PMID33954074
PMCPMC8091138
OpenAlexW3145883041

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.