Evidence map›Paper›PMID 27900652›Full record

ArticleCommunity mental health journal2018

Mobile Based mhGAP-IG Depression Screening in Kenya.

Christine W Musyimi, Victoria N Mutiso, Zahra R Haji, Erick S Nandoya, David M Ndetei

Abstract read
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In one paragraph

Article in Community mental health journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
–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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

5 authors.

Christine W MusyimiAfrica Mental Health Foundation, Nairobi, Kenya.
Victoria N MutisoAfrica Mental Health Foundation, Nairobi, Kenya.
Zahra R HajiUniversity of Liverpool, Liverpool, UK.
Erick S NandoyaAfrica Mental Health Foundation, Nairobi, Kenya.
David M NdeteiAfrica Mental Health Foundation, Nairobi, Kenya. dmndetei@amhf.or.ke.

Funding

Grand Challenges Canada S5_0414-01
6 · The paper itself

Abstract

We aimed to determine the prevalence and determinants of depression using mobile based mental health Global Action Programme Intervention guide (mhGAP-IG) in remote health care settings where most priority mental health problems are managed by non-mental health specialists and evaluate the feasibility of the application. Adult patients were recruited from four rural public health facilities in Kenya using systematic random sampling and screened for depression. There were no missing items since the application prevented saving of data unless all the items were answered. The prevalence of depression was 25% with suicidal behavior being the most significant comorbid problem. Older age, personal and a family history of a mental disorder were significantly correlated with depression. Exploring the use of health-related mobile applications in identification of priority mental health problems is useful notably in low-resource settings; and also forms a basis for prevention of mental disorders and intervention at acute stages.

Indexed as

Mobile ApplicationsAdultAge FactorsDepressionEducational StatusFemaleHumansKenyaMaleMarital StatusMass ScreeningMental DisordersPrevalenceRisk FactorsSex FactorsDepressionMhGAP-IGMobileScreening

Identifiers

What OpenQuestion holds

Textmetadata
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.