Evidence map›Paper›PMID 40727620›Full record

ArticleDigital health

Impact of a supportive text messaging program (Text4Support) for mitigating psychological problems in patients receiving formal mental health services: A randomized controlled trial.

Gloria Obuobi-Donkor, Reham Shalaby, Belinda Agyapong, Samuel Obeng Nkrumah, Medard Kofi Adu, Ejemai Eboreime, Lori Wozney, Vincent Israel Opoku Agyapong

Registry-linked trialAbstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05411302 (Augmenting Mental Health Support for Patients Accessing Different Degrees of Formal Psychiatric Care Through a Supportive Text Messaging Program), which is not on this map. Cited by 2 papers.

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

NCT05411302 naunknown statusnot on this map

Augmenting Mental Health Support for Patients Accessing Different Degrees of Formal Psychiatric Care Through a Supportive Text Messaging Program: A Randomized Controlled Trial

TypeinterventionalSponsorVincent AgyapongRan2022 to 2025Enrolled1,500ConditionsMajor Depressive Disorder, Generalized Anxiety Disorder, Mental Health Wellness 1ArmsMental health supportive text messages
3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Review
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

8 authors.

Gloria Obuobi-DonkorDepartment of Psychiatry, Faculty of Medicine, Dalhousie University, Halifax, NS, Canada.ORCID https://orcid.org/0000-0001-5325-8054
Reham ShalabyDepartment of Psychiatry, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, Canada.ORCID https://orcid.org/0000-0002-3717-6398
Belinda AgyapongDepartment of Psychiatry, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, Canada.ORCID https://orcid.org/0000-0001-7633-6529
Samuel Obeng NkrumahDepartment of Psychiatry, Faculty of Medicine, Dalhousie University, Halifax, NS, Canada.ORCID https://orcid.org/0009-0000-7111-8469
Medard Kofi AduDepartment of Psychiatry, Faculty of Medicine, Dalhousie University, Halifax, NS, Canada.ORCID https://orcid.org/0000-0001-9593-0275
Ejemai EboreimeDepartment of Psychiatry, Faculty of Medicine, Dalhousie University, Halifax, NS, Canada.ORCID https://orcid.org/0000-0001-8277-2570
Lori WozneyMental Health and Addictions Program, IWK Health Centre, Halifax, NS, Canada.ORCID https://orcid.org/0000-0003-4280-3322
Vincent Israel Opoku AgyapongDepartment of Psychiatry, Faculty of Medicine, Dalhousie University, Halifax, NS, Canada.ORCID https://orcid.org/0000-0002-2743-0372

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Text-based interventions are an innovative way to bridge gaps in mental health care. Programs like Text4Support provide accessible, cost-effective mental health support using daily messages based on cognitive behavioral principles, reaching a broad population. Objective: The study aims to evaluate the effectiveness of Text4Support in improving mental health outcomes compared to usual care in patients receiving formal mental health services. Methods: A randomized controlled trial was conducted on participants attending community mental health programs and those recently discharged from psychiatric inpatient and emergency care in Nova Scotia, Canada. Participants were assigned to either the Text4Support or control group. Mental health conditions were measured using validated scales. Patients in the Text4Support group received daily supportive text messages, whilst the control group received a single text message with a link to the Nova Scotia Health e-mental health resources. Results: Seven hundred eighty-one eligible patients were randomized, and 307 were included in the analysis. After adjusting for baseline scores, the third and ninth questions of the PHQ-9 showed a significant difference between the Text4Support group and the control group. When results were assessed based on self-reports from control group participants as to whether they accessed or did not access the NS Health e-mental health resource link, significant differences between the three groups were noted, with improvements for suicidal and/or self-harm ideation and disturbed sleep in the Text4Support group and deterioration observed in the two control groups. Conclusion: Text4Support addresses critical psychological symptoms like sleep disturbances and suicidal and/or self-harm ideation during vulnerable periods in patients' mental health journeys. Text4Support is a promising adjunct to conventional mental health care. Trial registration: ClinicalTrials.gov (NCT05411302). Registered on 6 June 2022.

Indexed as

Mental healthNova Scotiasleep disturbancesuicidal and/or self-harm ideationtext-based intervention

Identifiers

PMID40727620
PMCPMC12301639

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.