Evidence map›Paper›PMID 27406182›Full record

ReviewBMC psychiatry2016

Rethinking the service delivery system of psychological interventions in low and middle income countries.

L K Murray, M J D Jordans

Open access · goldAbstract readReview
In one paragraph

Review in BMC psychiatry, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 3 pooled it
9.0field-weighted citation impact, top 2% 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

30 citing papers in PubMed, 3 syntheses or guidelines pooled it, 73 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

2 authors at 2 institutions in 3 countries.

L K MurrayDepartment of Mental Health, Johns Hopkins Bloomberg School of Public Health, 624 N. Broadway Street, Baltimore, MD, 21205, USA. lmurra15@jhu.edu.
M J D JordansCenter for Global Mental Health; Institute of Psychiatry, Psychology and Neuroscience, King's College London, 16 De Crespigny Park, London SE5 8AF, London, UK.
Center for Global Health · USJohns Hopkins University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGlobal mental health is a growing field intricately connected to broader health, violence and economic issues. Despite the high prevalence and cost of mental health disorders, an estimated 75 % of those with need in lower resource settings do not receive intervention. Most studies to date have examined the effectiveness of single-disorder mental health treatments - an approach that may be a significant challenge to scale-up and sustainability in lower resource settings. MAIN BODY: This paper presents a brief overview of the scientific progress in global mental health, and suggests consideration of an internal stepped care delivery approach. An internal stepped care model is one idea of a delivery system, utilizing a common elements approach, where the same provider could navigate between different elements based on severity and type of problems of the client. It is distinct from traditional stepped care models in that clients remain with the same provider, rather than relying on referral systems.

conclusionAn internal stepped care delivery system based on a simplified common elements approach could be more efficient, scalable, sustainable, and reduce the loss of clients to referrals in lower resource settings.

Indexed as

Delivery of Health CareGlobal HealthHumansIncomeMental DisordersMental HealthMental Health ServicesPovertyCommon elements approachGlobal mental healthHealth systemsImplementation scienceLow resource settings

Identifiers

PMID27406182
PMCPMC4941014
OpenAlexW2464398973

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.