Evidence map›Paper›PMID 34411874›Full record

ArticleChild abuse & neglect2021

Using social media Reddit data to examine foster families' concerns and needs during COVID-19.

Joyce Y Lee, Olivia D Chang, Tawfiq Ammari

Abstract read
In one paragraph

Article in Child abuse & neglect, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Evaluation of a Trauma-Informed Parenting Program for Resource Parents.International journal of environmental research and public health · 2022
    Article
  6. Article
  7. Article
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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

3 authors.

Joyce Y LeeSchool of Social Work, University of Michigan, 1080 South University Avenue, Ann Arbor, MI 48109, USA; Department of Psychology, University of Michigan, 530 Church Street, Ann Arbor, MI 48109, USA. Electronic address: joyceyl@umich.edu.
Olivia D ChangDepartment of Psychology, University of Michigan, 530 Church Street, Ann Arbor, MI 48109, USA.
Tawfiq AmmariSchool of Communication and Information, Rutgers University, New Brunswick, NJ 08901, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCOVID-19 is likely to have negatively impacted foster families but few data sources are available to confirm this.

objectiveThe current study used Reddit social media data to examine how foster families are faring in the pandemic. Discussion topics were identified and examined for changes before and after COVID-19. PARTICIPANTS AND

settingComments were collected from three Reddit online discussion boards dedicated to foster families (N = 11,830).

methodsWe used machine learning techniques, including Latent Dirichlet Allocation, for topic modeling and textual analysis for qualitative coding of the Reddit comments.

resultsResults showed that three main topics had both significant quantitative and meaningful qualitative changes before and after COVID-19. There were significant increases in conversation about becoming a foster parent (F = 5.75, p = 0.02) and activities for foster children (F = 10.61, p = 0.001), whereas there was a significant decrease in discussing permanency (F = 9.46, p = 0.003) before and after the onset of COVID-19. Qualitative coding showed that regarding the topic of becoming a parent, excitement over approval of foster care license before COVID-19 shifted to foster families' increased anxieties about delays in their licensing cases after COVID-19. For permanency, content changed from the best interest of the child and reunifications before COVID-19 to concerns over family separations and permanency challenges after COVID-19. Regarding activities for foster children, content related to everyday activities before COVID-19 changed to specific activities foster children and families could do during lockdowns. Results suggest areas child welfare workers may focus on to better support foster families during and after the pandemic.

Indexed as

Foster Home CareChildCommunicable Disease ControlCOVID-19HumansPandemicsSARS-CoV-2Social MediaCOVID-19Former foster youthFoster familiesMachine learningTextual analysisTopic modeling

Identifiers

PMID34411874
PMCPMC8440933

What OpenQuestion holds

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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.