Evidence map›Paper›PMID 31824743›Full record

ArticleThe South African journal of psychiatry : SAJP : the journal of the Society of Psychiatrists of South Africa2019

A systematic review of online depression screening tools for use in the South African context.

Tasneem Hassem, Sumaya Laher

Abstract read
In one paragraph

Article in The South African journal of psychiatry : SAJP : the journal of the Society of Psychiatrists of South Africa, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Exploring South African Indian men's understanding of depression.The South African journal of psychiatry : SAJP : the journal of the Society of Psychiatrists of South Africa · 2024
    Article
  3. Article
  4. Data Handling for E-Mental Health Professionals.Indian journal of psychological medicine · 2020
    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

2 authors.

Tasneem HassemDepartment of Psychology, University of the Witwatersrand, Johannesburg, South Africa.ORCID https://orcid.org/0000-0003-1449-0090
Sumaya LaherDepartment of Psychology, University of the Witwatersrand, Johannesburg, South Africa.ORCID https://orcid.org/0000-0002-1298-0769

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAccording to the World Health Organization, the alarming increase in rates of depression globally has become a serious concern. In 2010, the prevalence rate of depression in South Africa was 4.6%. Given the context of South Africa where the majority of the population have limited access to healthcare facilities and 59.3% of the population have access to the Internet, an online depression screening tool would have much to offer.

objectiveTo determine whether online depression screening tools would be suitable for use in South Africa.

methodsThis study presents a systematic review of online depression screening tools to determine whether one would be suitable for use in South Africa. Articles were accessed from seven electronic databases from 1970 to 2018. All articles included in the review were critically appraised.

resultsA total of 17 articles met the inclusion criteria. From the results, there was only one screening tool available on an open access platform for use by the general population. The most common depression online screening tools were the Beck Depression Inventory-II (BDI-II), the Center for Epidemiology Studies Depression Scale (CES-D) and the Patient Health Questionnaire (PHQ-9). It was also evident that there were negligible differences in the psychometric properties of online versus paper versions of the online screening tools. Furthermore, there were very few studies that considered the African or South African population and no online screening tools for major depressive disorder (MDD) developed in these contexts.

conclusionThere appears to be a need for a depression screening tool to be adapted for online usage in South Africa. It is recommended that the online screening tool should be adapted from the three commonly used online depression screening tools: PHQ-9, CES-D and BDI-II.

Indexed as

BDI-IICES-Ddepressionmajor depressive disorderPHQ-9screening tool

Identifiers

PMID31824743
PMCPMC6890541

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