Evidence map›Paper›PMID 30544738›Full record

ReviewInternational journal of environmental research and public health2018

Smartphone Applications for Mindfulness Interventions with Suicidality in Asian Older Adults: A Literature Review.

Carol C Choo, Jonathan H L Kuek, André A D Burton

Abstract readReview
In one paragraph

Review in International journal of environmental research and public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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.

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

4 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. 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

3 authors.

Carol C ChooCollege of Healthcare Sciences, James Cook University, Singapore 387380, Singapore. carol.choo@jcu.edu.au.ORCID 0000-0001-7868-5757
Jonathan H L KuekCollege of Healthcare Sciences, James Cook University, Singapore 387380, Singapore. hkue4882@uni.sydney.edu.au.ORCID 0000-0001-8953-9229
André A D BurtonSchool of Psychology, Curtin University, Perth 6102, Australia. andre.burton@postgrad.curtin.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Elderly suicide is a rising concern. Despite the advent of mobile technology, there remained a gap in the evidence base as to whether smartphone applications could be used for mindfulness intervention for suicidality in Asian older adults. This paper aimed to review recent research relevant to smartphone applications that could be used in providing mindfulness interventions for suicidality to Asian older adults. The inclusion criteria for this review were papers published in peer-reviewed journals from 2008 to 2018 with the usage of specific search terms, namely, 'smartphone application', 'mobile application', and 'mindfulness', assessed against the inclusion criteria and screened by an experienced Asian clinician to be of clinical utility for mindfulness intervention for suicidality with Asian older adults. Initial search on databases yielded 236 results. A total of 35 full text papers that fit the inclusion criteria were assessed for eligibility and 10 papers were included in the current review. This review highlighted the paucity of rigorous empirically validated research into effective smartphone applications that can be used for mindfulness interventions for suicidality with Asian older adults.

Indexed as

Mobile ApplicationsSmartphoneSuicide PreventionAgedAged, 80 and overAsiaEarly Medical InterventionHumansMindfulnessAsian older adultsmindfulnesssmartphone applicationssuicidality

Identifiers

PMID30544738
PMCPMC6313610

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.