Evidence map›Paper›PMID 33514343›Full record

ArticleBMC pediatrics2021

Addressing the mental health needs of children affected by HIV in Rwanda: validation of a rapid depression screening tool for children 7-14 years old.

Agnes Binagwaho, Eric Remera, Alice Uwase Bayingana, Darius Gishoma, Kirstin Woody Scott, Madeline Goosman, Eliza Campbell, Mawuena Agbonyitor, Yvonne Kayiteshonga, Sabin Nsanzimana

Open access · goldAbstract read
In one paragraph

Article in BMC pediatrics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 38% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. 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

10 authors at 7 institutions in 3 countries.

Agnes BinagwahoUniversity of Global Health Equity, Kigali, Rwanda.
Eric RemeraUniversity of Global Health Equity, Kigali, Rwanda.
Alice Uwase BayinganaUniversity of Global Health Equity, Kigali, Rwanda. abayingana@ughe.org.ORCID 0000-0003-0501-9395
Darius GishomaUniversity of Rwanda College of Medicine and Health Sciences, Kigali, Rwanda.
Kirstin Woody ScottUniversity of Michigan, Ann Arbor, Michigan, USA.
Madeline GoosmanUniversity of Global Health Equity, Kigali, Rwanda.
Eliza CampbellUniversity of Virginia, Charlottesville, VA, USA.
Mawuena AgbonyitorPartners in Health, Freetown, Sierra Leone.
Yvonne KayiteshongaRwanda Biomedical Center, Kigali, Rwanda.
Sabin NsanzimanaUniversity of Global Health Equity, Kigali, Rwanda.
University of Global Health Equity · RWDartmouth College · USRwanda Biomedical Center · RWSierra Leone Urban Research Centre · SLUniversity of Michigan · USUniversity of Rwanda · RWUniversity of Virginia · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDepression in children presents a significant health burden to society and often co-exists with chronic illnesses, such as human immunodeficiency virus (HIV). Research has demonstrated that 10-37% of children and adolescents living with HIV also suffer from depression. Low-and-middle income countries (LMICs) shoulder a disproportionate burden of HIV among other health challenges, but reliable estimates of co-morbid depression are lacking in these settings. Prior studies in Rwanda, a LMIC of 12 million people in East Africa, found that 25% of children living with HIV met criteria for depression. Though depression may negatively affect adherence to HIV treatment among children and adolescents, most LMICs fail to routinely screen children for mental health problems due to a shortage of trained health care providers. While some screening tools exist, they can be costly to implement in resource-constrained settings and are often lacking a contextual appropriateness.

methodsRelying on international guidelines for diagnosing depression, Rwandan health experts developed a freely available, open-access Child Depression Screening Tool (CDST). To validate this tool in Rwanda, a sample of 296 children with a known diagnosis of HIV between ages 7-14 years were recruited as study participants. In addition to completing the CDST, all participants were evaluated by a mental health professional using a structured clinical interview. The validity of the CDST was assessed in terms of sensitivity, specificity, and a receiver operating characteristic (ROC) curve.

resultsThis analysis found that depression continues to be a co-morbid condition among children living with HIV in Rwanda. For identifying these at-risk children, the CDST had a sensitivity of 88.1% and specificity of 96.5% in identifying risk for depression among children living with HIV at a cutoff score of 6 points. This corresponded with an area under the ROC curve of 92.3%.

conclusionsThis study provides evidence that the CDST is a valid tool for screening depression among children affected by HIV in a resource-constrained setting. As an open-access and freely available tool in LMICs, the CDST can allow any health practitioner to identify children at risk of depression and refer them in a timely manner to more specialized mental health services. Future work can show if and how this tool has the potential to be useful in screening depression in children suffering from other chronic illnesses.

Indexed as

HIV InfectionsMental HealthAdolescentAfrica, EasternChildDepressionHumansRwandaChild mental healthDepression scaleHIV/AIDSRwandaValidation

Identifiers

PMID33514343
PMCPMC7844907
OpenAlexW3122715018

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.