Evidence map›Paper›PMID 30979042›Full record

Trial reportInternational journal of environmental research and public health2019

An Evaluation of a Low-Intensity Cognitive Behavioral Therapy mHealth-Supported Intervention to Reduce Loneliness in Older People.

Mary Ann Jarvis, Anita Padmanabhanunni, Jennifer Chipps

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in International journal of environmental research and public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 11 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 11 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

47 citing papers in PubMed, 11 syntheses or guidelines pooled it.

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  12. Trial
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  14. Article
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  16. Review
  17. Cognitive Distortions Associated with Loneliness: An Exploratory Study.Behavioral sciences (Basel, Switzerland) · 2025
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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

3 authors.

Mary Ann JarvisSchool of Nursing and Public Health, Desmond Clarence Bldg. Howard College Campus, University of KwaZulu-Natal, Durban 4001, South Africa. jarvism@ukzn.ac.za.
Anita PadmanabhanunniDepartment of Psychology, University of the Western Cape, Robert Sobukwe Avenue, Belville 7535, South Africa. apadmana@uwc.ac.za.
Jennifer ChippsSchool of Nursing, Faculty of Community Health, University of the Western Cape, 14 Blanckenberg Road, Belville 7535, South Africa. jchipps@uwc.ac.za.ORCID 0000-0002-7895-4483

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is a high prevalence of loneliness among older people, especially in residential care settings. Loneliness is often accompanied by maladaptive cognitions which can affect the maintenance and establishment of meaningful social connections. This study implemented and evaluated a low-intensity Cognitive Behavior Therapy (LI-CBT) mHealth-supported intervention which targeted maladaptive cognitions in older people (≥60 years) experiencing loneliness. The three-month intervention using WhatsApp was implemented with older people in four inner-city residential care facilities. The intervention included three components: technology acceptance, psycho-education, and individualized positively worded messages addressing maladaptive cognitions. The intervention was evaluated using a randomized control design. Key outcomes were measured pre-, post-, and one month after the intervention. There were significant changes in social cognition (YSQ-SF T₀-T₁-T₂,

Indexed as

TelemedicineAgedAged, 80 and overCognitionCognitive Behavioral TherapyFemaleHumansLonelinessMaleMiddle AgedResidence CharacteristicsSocial BehaviorSocial EnvironmentSouth Africalonelinesslow-intensity CBTmHealtholder peoplesmartphoneWhatsApp

Identifiers

PMID30979042
PMCPMC6480633

What OpenQuestion holds

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LicenceCC BY
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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.