Evidence map›Paper›PMID 32611435›Full record

ArticleBMC research notes2020

Lessons learned through piloting a community-based SMS referral system for common mental health disorders used by female community health volunteers in rural Nepal.

Anvita Bhardwaj, Prasansa Subba, Sauharda Rai, Chaya Bhat, Renasha Ghimire, Mark J D Jordans, Eric Green, Lavanya Vasudevan, Brandon A Kohrt

Open access · goldAbstract read
In one paragraph

Article in BMC research notes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.2field-weighted citation impact, top 7% 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

13 citing papers in PubMed, 18 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

9 authors at 5 institutions in 3 countries.

Anvita BhardwajDepartment of Population Family and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.ORCID http://orcid.org/0000-0001-5622-9128
Prasansa SubbaTranscultural Psychosocial Organization (TPO) Nepal, Baluwatar, Kathmandu, Nepal. limbu.prasansa@gmail.com.ORCID http://orcid.org/0000-0002-6930-7575
Sauharda RaiDuke Global Health Institute, Duke University, Durham, NC, USA.
Chaya BhatDuke Global Health Institute, Duke University, Durham, NC, USA.
Renasha GhimireTranscultural Psychosocial Organization (TPO) Nepal, Baluwatar, Kathmandu, Nepal.
Mark J D JordansCenter for Global Mental Health, Institute of Psychiatry, Psychology and Neuroscience, Kings College London, London, UK.ORCID http://orcid.org/0000-0001-5925-8039
Eric GreenDuke Global Health Institute, Duke University, Durham, NC, USA.
Lavanya VasudevanCenter for Health Policy and Inequalities Research, Duke Global Health Institute, Durham, NC, USA.ORCID http://orcid.org/0000-0003-2900-6070
Brandon A KohrtDuke Global Health Institute, Duke University, Durham, NC, USA.ORCID http://orcid.org/0000-0002-3829-4820
Duke University · USJohns Hopkins University · USKing's College London · GBMountain Medicine Society of Nepal · NPNLR Nepal · NP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe Community Informant Detection Tool (CIDT) is a paper-based proactive case detection strategy with evidence for improving help-seeking behavior for mental healthcare. Key implementation barriers for the paper-based CIDT include delayed reporting of cases and lack of active follow up. We used mobile phones and structured text messages to improve timeliness of case reporting, encouraging follow up, and case record keeping. 36 female community health volunteers piloted this mobile phone CIDT (mCIDT) for three months in 2017 in rural Nepal.

resultsOnly 8 cases were identified by health volunteers using mCIDT, and only two of these cases engaged with health services post-referral. Accuracy with the mCIDT was considerably lower than paper-based CIDT, especially among older health volunteers, those with lower education, and those having difficulties sending text messages. Qualitative findings revealed implementation challenges including cases not following through on referrals due to perceived lack of staff at health facilities, assumptions among health volunteers that all earthquake-related mental health needs had been met, and lack of financial incentives for use of mCIDT. Based on study findings, we provide 5 recommendations-in particular attitudinal and system preparedness changes-to effectively introduce new mental healthcare technology in low resource health systems.

Indexed as

Community Health WorkersPatient Acceptance of Health CareProcess Assessment, Health CareRural PopulationTelemedicineText MessagingAdultFemaleHumansMental DisordersNepalPilot ProjectsCase-findingDeveloping countriesHelp-seekingMental healthmHealthNepalReferral

Identifiers

PMID32611435
PMCPMC7328268
OpenAlexW3040320696

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.