Evidence map›Paper›PMID 39908538›Full record

Trial reportJMIR mental health2025

Evaluation of a Guided Chatbot Intervention for Young People in Jordan: Feasibility Randomized Controlled Trial.

Anne Marijn de Graaff, Rand Habashneh, Sarah Fanatseh, Dharani Keyan, Aemal Akhtar, Adnan Abualhaija, Muhannad Faroun, Ibrahim Said Aqel, Latefa Dardas, Chiara Servili and 3 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in JMIR mental health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. 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

13 authors.

Anne Marijn de Graaff *Department of Mental Health, Brain Health and Substance Use, World Health Organization, Geneva, Switzerland.ORCID 0000-0001-6686-4432
Rand Habashneh *Institute for Family Health, King Hussein Foundation, Amman, Jordan.ORCID 0009-0008-9629-8548
Sarah FanatsehInstitute for Family Health, King Hussein Foundation, Amman, Jordan.ORCID 0009-0002-2877-0640
Dharani KeyanDepartment of Mental Health, Brain Health and Substance Use, World Health Organization, Geneva, Switzerland.ORCID 0000-0002-9406-7542
Aemal AkhtarSchool of Psychology, University of New South Wales, Sydney, Australia.ORCID 0000-0002-8510-3636
Adnan AbualhaijaInstitute for Family Health, King Hussein Foundation, Amman, Jordan.ORCID 0009-0009-8502-6173
Muhannad FarounInstitute for Family Health, King Hussein Foundation, Amman, Jordan.ORCID 0009-0001-3388-4872
Ibrahim Said AqelInstitute for Family Health, King Hussein Foundation, Amman, Jordan.ORCID 0000-0002-7558-7059
Latefa DardasCommunity Health Nursing Department, School of Nursing, University of Jordan, Amman, Jordan.ORCID 0000-0001-5437-4778
Chiara ServiliDepartment of Mental Health, Brain Health and Substance Use, World Health Organization, Geneva, Switzerland.ORCID 0000-0002-1885-822X
Mark van OmmerenDepartment of Mental Health, Brain Health and Substance Use, World Health Organization, Geneva, Switzerland.ORCID 0000-0002-5460-8842
Richard BryantSchool of Psychology, University of New South Wales, Sydney, Australia.ORCID 0000-0002-9607-819X
Kenneth CarswellDepartment of Mental Health, Brain Health and Substance Use, World Health Organization, Geneva, Switzerland.ORCID 0000-0001-5344-5802

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundDepression and anxiety are a leading cause of disability worldwide and often start during adolescence and young adulthood. The majority of young people live in low- and middle-income countries where there is a lack of mental health services. The World Health Organization (WHO) developed a guided, nonartificial intelligence chatbot intervention called Scalable Technology for Adolescents and youth to Reduce Stress (STARS) to reduce symptoms of depression and anxiety among young people affected by adversity.

objectiveThe objective of this study was to evaluate the feasibility of the STARS intervention and study procedures among young people in Jordan.

methodsA 2-arm, single-blind, feasibility randomized controlled trial was conducted among 60 young people aged 18 years to 21 years living in Jordan with self-reported elevated levels of psychological distress. Immediately after baseline, participants were randomized 1:1 into the STARS intervention or enhanced care as usual (ECAU). STARS consisted of 10 lessons in which participants interacted with a chatbot and learned several cognitive behavioral therapy strategies, with optional guidance by a trained e-helper through 5 weekly phone calls. ECAU consisted of a static web page providing basic psychoeducation. Online questionnaires were administered at baseline (week 0) and postassessment (week 8) to assess depression (Hopkins Symptom Checklist-25 [HSCL-25]), anxiety (HSCL-25), functional impairment (WHO Disability Assessment Schedule [WHODAS] 2.0), psychological well-being (WHO-Five Well-Being Index [WHO-5]), and agency (State Hope Scale). Process evaluation interviews with stakeholders were conducted after the postassessment.

resultsParticipants were recruited in December 2022 and January 2023. Of 700 screening website visits, 160 participants were eligible, and 60 participants (mean age 19.7, SD 1.16 years; 49/60, 82% female) continued to baseline and were randomized into STARS (n=30) or ECAU (n=30). Of those who received STARS, 37% (11/30) completed at least 8 chatbot lessons, and 13% (4/30) completed all 5 support calls. The research protocol functioned well in terms of balanced randomization, high retention at postassessment (48/60, 80%), and good psychometric properties of the online questionnaires. Process evaluation interviews with STARS participants, ECAU participants, e-helpers, and the clinical supervisor indicated the acceptability of the study procedures and the STARS and ECAU conditions and highlighted several aspects that could be improved, including the e-helper support and features of the STARS chatbot.

conclusionsThis study demonstrated the feasibility and acceptability of the STARS intervention and research procedures. A fully powered, definitive randomized controlled trial will be conducted to evaluate the effectiveness of STARS.

trial registrationISRCTN ISRCTN19217696; https://doi.org/10.1186/ISRCTN19217696.

Indexed as

AnxietyCognitive Behavioral TherapyDepressionStress, PsychologicalAdolescentFeasibility StudiesFemaleGenerative Artificial IntelligenceHumansJordanMaleSingle-Blind MethodYoung AdultanxietyCBTchatbotdepressiondigital healthdigital interventionevaluationfeasibility studyhealth interventionJordanmental healthmood disorderpsychological treatmentrandomized controlled trialyouth

Identifiers

PMID39908538
PMCPMC11840361

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.