Evidence map›Paper›PMID 30135773›Full record

ArticleInternet interventions2018

Philip J Batterham, Alison L Calear, Louise Farrer, Sonia M McCallum, Vanessa Wan Sze Cheng

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Internet interventions, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 9 pooled it
3.1field-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

28 citing papers in PubMed, 9 syntheses or guidelines pooled it, 57 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

5 authors at 2 institutions in 1 country.

Philip J BatterhamCentre for Mental Health Research, Research School of Population Health, The Australian National University, Canberra, Australia.
Alison L CalearCentre for Mental Health Research, Research School of Population Health, The Australian National University, Canberra, Australia.
Louise FarrerCentre for Mental Health Research, Research School of Population Health, The Australian National University, Canberra, Australia.
Sonia M McCallumCentre for Mental Health Research, Research School of Population Health, The Australian National University, Canberra, Australia.
Vanessa Wan Sze ChengBrain and Mind Centre, University of Sydney, Sydney, Australia.
Australian National University · AUUniversity of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeOnline mental health programs can be effective in reducing symptoms of depression, anxiety disorders, substance use and suicidal ideation. However, most existing e-mental health programs focus on a single domain of mental health, neglecting comorbidity. Furthermore, few programs are tailored to the symptom patterns of the individual user.

methodsAustralian adults with elevated symptoms of depression, anxiety, suicidal ideation and/or substance use were recruited through social media, with

resultsMixed model repeated measures ANOVA indicated that participants in both

conclusions

Indexed as

AnxietyComorbidityDepressionSubstance useSuicidal ideationTailored interventions

Identifiers

PMID30135773
PMCPMC6096326
OpenAlexW2746508524

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.