Evidence map›Paper›PMID 31586359›Full record

ArticleJMIR mHealth and uHealth2019

A Smartphone Attention Bias App for Individuals With Addictive Disorders: Feasibility and Acceptability Study.

Melvyn Zhang, Jiangbo Ying, Syidda B Amron, Zaakira Mahreen, Guo Song, Daniel S S Fung, Helen Elizabeth Smith

Abstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Application of Digital Medicine in Addiction.Journal of Shanghai Jiaotong University (science) · 2022
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Challenges When Evaluating Cognitive Bias Modification Interventions for Substance Use Disorder.International journal of environmental research and public health · 2020
    Article
  10. Article
  11. Article
  12. Article
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

7 authors.

Melvyn ZhangNational Addiction Management Service, Institute of Mental Health, Singapore, Singapore.ORCID 0000-0001-8385-2345
Jiangbo YingNational Addiction Management Service, Institute of Mental Health, Singapore, Singapore.ORCID 0000-0001-8503-8240
Syidda B AmronNational Addiction Management Service, Institute of Mental Health, Singapore, Singapore.ORCID 0000-0002-2717-2836
Zaakira MahreenNational Addiction Management Service, Institute of Mental Health, Singapore, Singapore.ORCID 0000-0002-2465-4848
Guo SongNational Addiction Management Service, Institute of Mental Health, Singapore, Singapore.ORCID 0000-0002-6672-404X
Daniel S S FungDepartment of Developmental Psychiatry, Institute of Mental Health, Singapore, Singapore.ORCID 0000-0003-0718-9363
Helen Elizabeth SmithFamily Medicine and Primary Care, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.ORCID 0000-0003-1883-6124

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundConventional psychology therapies are unable to address automatic biases that result in individuals relapsing into their substance use disorder. Advances in experimental psychology have led to a better understanding of attention and approach biases and methods to modify these biases. Several studies have demonstrated the effectiveness of bias modification among clinical cohorts. The advances in mobile health technologies have allowed remote delivery of these interventions. To date, there is a lack of studies examining bias modification in a substance-using non-Western sample.

objectiveThis study was designed to determine the feasibility of an attention bias modification intervention and an attention bias modification smartphone app for the reduction of attention biases among treatment-seeking individuals. The secondary aim is to determine the acceptability of the intervention.

methodsA feasibility study was conducted among inpatients who were in their rehabilitation phase at the National Addictions Management Service. Participants were to complete a set of baseline questionnaires, and on each day that they are in the study, undertake an attention bias assessment and modification task while completing a visual analogue scale to assess their craving. Feasibility was determined by the acceptance rate of participation and participants' adherence to the interventions. Acceptability was assessed by a perception questionnaire. Descriptive statistical analyses were performed using SPSS version 22. A thematic analysis approach was used in the qualitative synthesis of users' perceptions.

resultsOf the 40 participants invited to participate in the feasibility study, 10 declined, yielding an acceptance rate of 75%. Of the recruited participants, 6 participants were diagnosed with alcohol dependence; 17, with opioid dependence; 2, with cannabis dependence; and 5, with stimulant dependence. In addition, of the final 30 participants, 11 (37%) failed to complete all the planned interventions and 22 (73%) completed the perspective questionnaires; of these 22 participants, 100% rated the app as extremely and very easy, 77% rated it as extremely or very interactive, 54% rated it as extremely or very motivating, and 33% reported a change in their confidence levels.

conclusionsOur results highlight the feasibility of recruiting participants to undertake attention bias modification interventions. Participants generally accept use of a mobile version of such an intervention. Nevertheless, our acceptability data indicate that there could be improvements in the existing app, and a participatory design approach might be helpful in its future conceptualization. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/11822.

Indexed as

AdultAgedAttentionBehavior TherapyFeasibility StudiesFemaleHumansMaleMiddle AgedObserver VariationPatient Acceptance of Health CareSingaporeSubstance-Related DisordersSurveys and Questionnairesaddictionalcohol abuseattention biascannabis abusecognitive biasdigital healthmhealthopioid abusepsychiatrysubstance abuse

Identifiers

PMID31586359
PMCPMC6779068

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.