Evidence map›Paper›PMID 34481139›Full record

ArticleChild abuse & neglect2021

Evaluation of the impact of the COVID-19 pandemic on the reporting of maltreatment cases to the National Family Safety Program in Saudi Arabia.

Shuliweeh Alenezi, Mahdi Alnamnakani, Mohamad-Hani Temsah, Rozan Murshid, Fahad Alfahad, Haitham Alqurashi, Hana Alonazy, Mohamad Alothman, Majid A Aleissa

Open access · greenAbstract 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 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 20% 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, 10 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

9 authors at 5 institutions in 1 country.

Shuliweeh AleneziDepartment of Psychiatry, College of Medicine, King Saud University, Riyadh, Saudi Arabia; Department of Psychiatry, King Saud University Medical City, King Saud University, Riyadh, Saudi Arabia; SABIC Psychological Health Research and Applications Chair (SPHRAC), Department of Psychiatry, College of Medicine, King Saud University, Riyadh, Saudi Arabia. Electronic address: salenizi@ksu.edu.sa.
Mahdi AlnamnakaniPediatric Department, King Saud University, Riyadh, Saudi Arabia; Pediatric Department, King Saud University Medical City, King Saud University, Riyadh, Saudi Arabia.
Mohamad-Hani TemsahPediatric Department, King Saud University, Riyadh, Saudi Arabia; Pediatric Department, King Saud University Medical City, King Saud University, Riyadh, Saudi Arabia.
Rozan MurshidPediatric Department, King Saud University, Riyadh, Saudi Arabia.
Fahad AlfahadDepartment of Psychiatry, College of Medicine, King Saud University, Riyadh, Saudi Arabia.
Haitham AlqurashiDepartment of Psychiatry, Children's Hospital, Ministry of Health, Taif, Saudi Arabia.
Hana AlonazyPediatric Department, King Saud University, Riyadh, Saudi Arabia.
Mohamad AlothmanPediatric Emergency Department, King Saud University Medical City, King Saud University, Riyadh, Saudi Arabia; National Family Safety Program, King Abdulaziz Medical City, Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia.
Majid A AleissaEmergency Department, Pediatric Emergency Unit, King Saud University Medical City, Riyadh, Saudi Arabia; National Family Safety Program, King Abdulaziz Medical City, Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia.; King Saud Bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia.; King Abdullah International Medical Research Center, Riyadh, Saudi Arabia.
King Saud University · SAKing Abdullah International Medical Research Center · SAKing Saud Medical City · SAMinistry of Health · SANational Guard Health Affairs · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe COVID-19 pandemic represents a global and nationwide public health crisis. Although protective, socially restrictive measures may cause social isolation, which amounts to an increased ecological risk for mental health disturbance in vulnerable populations. Previous reports have suggested a significant association between the occurrence of public health crises and increased rates of multiple risk factors related to child mental health disturbances, domestic violence, and child-maltreatment. METHODOLOGY: We conducted a retrospective data review of reported child maltreatment cases from the National Family Safety Program during the period of September 2019 to September 2020. A descriptive analysis approach was used to compare rates before and during the COVID-19 pandemic.

resultsDuring COVID-19, abuse was significantly more reported by a family member than by the victims themselves or by a healthcare worker. However, before COVID-19, the offender was less often reported to be known to the victim; was both parents or the mother but was more often described as male, older, single, less educated; and currently unemployed with no significant change observed in their health status (p < 0.001). Interestingly, the predicted type of abuse also significantly differed and was more emotional or sexual than other types (p < 0.001).

conclusionThe types of abuse and the characteristics of both abused children and offenders saw significant changes during the COVID-19 pandemic. Sexual and emotional abuses were reported more frequently, and the male gender is considered to feature more commonly in reports prior to the pandemic era than during the pandemic.

Indexed as

COVID-19ChildHumansMalePandemicsRetrospective StudiesSARS-CoV-2Saudi ArabiaEmotional abuseNeglectPhysical abuseSaudi ArabiaSexual abuse

Identifiers

PMID34481139
PMCPMC8514881
OpenAlexW3197473542

What OpenQuestion holds

Textmetadata
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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.