Evidence map›Paper›PMID 34584309›Full record

ArticleIndian journal of psychological medicine2021

Surviving COVID-19 is Half the Battle; Living Life with Perceived Stigma is Other Half: A Cross-Sectional Study.

Sushma Bhatnagar, Sanjeev Kumar, Puneet Rathore, Riniki Sarma, Rajeev Kumar Malhotra, Nandan Choudhary, Alice Thankachan, Nengneivah Haokip, Shalini Singh, Anuja Pandit and 5 more

Abstract read
In one paragraph

Article in Indian journal of psychological medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Confronting SARS-CoV-2 Infection: Patients' Experience in the First Pandemic Wave-Cross-Sectional Study.International journal of environmental research and public health · 2022
    Article
  7. Article
  8. Article
  9. 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

15 authors.

Sushma BhatnagarDept. of Onco-Anesthesia and Palliative Medicine, Dr B.R.A. IRCH, All India Institute of Medical Sciences, New Delhi, India.ORCID https://orcid.org/0000-0002-2097-7180
Sanjeev KumarDept. of Onco-Anesthesia and Palliative Medicine, Dr B.R.A. IRCH, All India Institute of Medical Sciences, New Delhi, India.
Puneet RathoreDept. of Onco-Anesthesia and Palliative Medicine, Dr B.R.A. IRCH, All India Institute of Medical Sciences, New Delhi, India.
Riniki SarmaDept. of Onco-Anesthesia and Palliative Medicine, Dr B.R.A. IRCH, All India Institute of Medical Sciences, New Delhi, India.
Rajeev Kumar MalhotraDelhi Cancer Registry, Dr B.R.A. IRCH, All India Institute of Medical Sciences, New Delhi, India.
Nandan ChoudharyDept. of Onco-Anesthesia and Palliative Medicine, Dr B.R.A. IRCH, All India Institute of Medical Sciences, New Delhi, India.
Alice ThankachanDept. of Onco-Anesthesia and Palliative Medicine, Dr B.R.A. IRCH, All India Institute of Medical Sciences, New Delhi, India.
Nengneivah HaokipDept. of Onco-Anesthesia and Palliative Medicine, Dr B.R.A. IRCH, All India Institute of Medical Sciences, New Delhi, India.
Shalini SinghDept. of Psychiatry and NDDTC, All India Institute of Medical Sciences, New Delhi, India.
Anuja PanditDept. of Onco-Anesthesia and Palliative Medicine, NCI, Jhajjar, All India Institute of Medical Sciences, New Delhi, India.
Saurabh VigDept. of Onco-Anesthesia and Palliative Medicine, NCI, Jhajjar, All India Institute of Medical Sciences, New Delhi, India.
Brajesh Kumar RatreDept. of Onco-Anesthesia and Palliative Medicine, Dr B.R.A. IRCH, All India Institute of Medical Sciences, New Delhi, India.
Anant MohanDept. of Pulmonary Critical Care and Sleep Medicine, All India Institute of Medical Sciences, New Delhi, India.
Karl LorenzStanford School of Medicine, Stanford, California, USA.
Randeep GuleriaAll India Institute of Medical Sciences, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundYear 2020 started with global health crisis known as COVID-19. In lack of established tools and management protocols, COVID-19 had become breeding ground for fear and confusion, leading to stigma toward affected individuals.

methodA cross-sectional study was conducted to estimate prevalence of stigma in discharged COVID-19 patients from a COVID hospital in India. Participants were approached telephonically using a semistructured questionnaire to record their experiences. Questions were asked regarding stigma at six major domains of daily life. Among total 1,673 discharged participants, 600 were conveniently selected and out of them 311 responded on telephonic interviews.

resultWe found that 182 (58.52%) participants (95% CI: 53.04-64.00) have self-perceived stigma, 163 (52.41%) participants (95% CI: 46.86-57.96) experienced quarantine-related stigma, 222 (71.38%) participants (95% CI: 66.36-76.40) experienced neighborhood stigma, 214 (68.81%) participants (95% CI: 63.66-73.95) experienced stigma while going out in marketplaces, 180 (57.88%) participants (95% CI: 52.39-63.37) experienced stigma at their work place, and 207 (66.56%) participants (95% CI: 61.31-71.80) reported stigma experienced by their family members. With a total of 84.5% (95% CI: 80.06-88.39) participants experiencing stigma at some domain and about 42.8% of participants facing stigma at all six domains. The commonest noted cause of stigma was fear of getting infected, reported by 184 (59.2%) participants.

conclusionThis study shows high prevalence of stigma in COVID-19 patients suffering in their common domains of daily lives.

Indexed as

COVID-19discriminationIndiapsychosocialstigma

Identifiers

PMID34584309
PMCPMC8450733

What OpenQuestion holds

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LicenceCC BY-NC
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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.