Evidence map›Paper›PMID 30958400›Full record

ReviewHarvard review of psychiatry

Digital Technology for Building Capacity of Nonspecialist Health Workers for Task Sharing and Scaling Up Mental Health Care Globally.

John A Naslund, Rahul Shidhaye, Vikram Patel

Registry-linked trialAbstract readReview
In one paragraph

Review in Harvard review of psychiatry. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06017414 (Systemic Psychotherapy-informed Self-help and Paraprofessional Training in a Naturalistic Setting), which is not on this map. Cited by 78 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
78citing papers in PubMed, 4 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.

NCT06017414 nacompletednot on this map

Systemic Psychotherapy-informed Self-help and Paraprofessional Training in a Naturalistic Setting

TypeinterventionalSponsorGunther MeinlschmidtRan2023 to 2024Enrolled222ConditionsPsychological DistressArmsSystemic Psychotherapy-informed Growth Path, Systemic Psychotherapy-informed Listener Training
3 · Its place in the literature

Who cites it

78 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Digital tools for direct assessment of autism risk during early childhood: A systematic review.Autism : the international journal of research and practice · 2024
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18 more citing papers are in PubMed but not listed here.

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

3 authors.

John A NaslundFrom the Department of Global Health and Social Medicine, Harvard Medical School (Drs. Naslund and Patel); Sangath, Bhopal, India (all); Public Health Foundation of India (Drs. Shidhaye and Patel); Department of Global Health and Population, Harvard T. H. Chan School of Public Health (Dr. Patel).
Rahul Shidhaye
Vikram Patel

Funding

ESSENCE (Enabling translation of Science to Service to ENhance Depression CarE) Scale-UpU19MH113211 · NIMH · HARVARD MEDICAL SCHOOL · PI PATEL, VIKRAM H · 2017 to 2023
$3.7M
NIMH NIH HHS U19 MH113211
6 · The paper itself

Abstract

Workforce shortages pose major obstacles to delivering adequate mental health care and scaling up services to address the global treatment gap. Mounting evidence demonstrates the clinical effectiveness of having nonspecialist health workers, such as community health workers, lay health workers, midwives, or nurses, deliver brief psychosocial treatments for common mental disorders in primary care settings. With rapidly increasing access to, and use of, digital technology worldwide, new opportunities are available to leverage these emerging digital technologies to support nonspecialist health workers and increase mental health workforce capacity. This Perspectives article considers the potential that digital technology holds for supporting nonspecialist health workers in delivering evidence-based mental health care. Specifically, from our search of the academic literature, we identified seven promising examples from primary care settings in different low- and middle-income countries (India, Pakistan, Zimbabwe, Peru, China, and Nigeria) where digital platforms are being used to support delivery of mental health care from a variety of nonspecialist providers by offering training, providing digital tools for diagnosis, guiding treatment, facilitating supervision, and integrating services. We summarize these examples and discuss future opportunities to use digital technology for supporting the development of a trained, effective, and sustainable mental health workforce. We also consider the potential to leverage these technologies for integrating mental health care into existing health systems in low-resource settings.

Indexed as

Computer-Assisted InstructionCapacity BuildingCommunity Health WorkersDeveloping CountriesHealth WorkforceHumansMental DisordersPsychotherapy, BriefRandomized Controlled Trials as Topic

Identifiers

PMID30958400
PMCPMC6517068

What OpenQuestion holds

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Registered trials

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.