Evidence map›Paper›PMID 33777644›Full record

ArticleCurrent addiction reports2020

Review of Popularity and Quality Standards of Opioid-Related Smartphone Apps.

Roger Vilardaga, Tykira Fisher, Paige E Palenski, Viggy Kumaresan, Paolo Mannelli, Maggie M Sweitzer, Francis Joseph McClernon, Matthew M Engelhard, Patricia L Sabo, Kathleen A Garrison

Abstract read
In one paragraph

Article in Current addiction reports, 2020. 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. Article
  5. Overdose Alert and Response Technologies: State-of-the-art Review.Journal of medical Internet research · 2023
    Review
  6. Review
  7. Potential Effects of Digital Inequality on Treatment Seeking for Opioid Use Disorder.International journal of mental health and addiction · 2023
    Article
  8. Article
  9. 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

10 authors.

Roger VilardagaDepartment of Psychiatry and Behavioral Sciences, Duke School of Medicine, Erwin Terrace Building II, 2812 Erwin Rd, Box 13, Durham, NC 27705, USA.
Tykira FisherDepartment of Psychiatry and Behavioral Sciences, Duke School of Medicine, Erwin Terrace Building II, 2812 Erwin Rd, Box 13, Durham, NC 27705, USA.
Paige E PalenskiDepartment of Psychiatry and Behavioral Sciences, Duke School of Medicine, Erwin Terrace Building II, 2812 Erwin Rd, Box 13, Durham, NC 27705, USA.
Viggy KumaresanDepartment of Psychiatry and Behavioral Sciences, Duke School of Medicine, Erwin Terrace Building II, 2812 Erwin Rd, Box 13, Durham, NC 27705, USA.
Paolo MannelliDepartment of Psychiatry and Behavioral Sciences, Duke School of Medicine, Erwin Terrace Building II, 2812 Erwin Rd, Box 13, Durham, NC 27705, USA.
Maggie M SweitzerDepartment of Psychiatry and Behavioral Sciences, Duke School of Medicine, Erwin Terrace Building II, 2812 Erwin Rd, Box 13, Durham, NC 27705, USA.
Francis Joseph McClernonDepartment of Psychiatry and Behavioral Sciences, Duke School of Medicine, Erwin Terrace Building II, 2812 Erwin Rd, Box 13, Durham, NC 27705, USA.
Matthew M EngelhardDepartment of Psychiatry and Behavioral Sciences, Duke School of Medicine, Erwin Terrace Building II, 2812 Erwin Rd, Box 13, Durham, NC 27705, USA.
Patricia L SaboDepartment of Psychiatry and Behavioral Sciences, Duke School of Medicine, Erwin Terrace Building II, 2812 Erwin Rd, Box 13, Durham, NC 27705, USA.
Kathleen A GarrisonDepartment of Psychiatry, Yale School of Medicine, 1 Church Street, Suite 730, New Haven, CT 06510, USA.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Randomized Controlled Trial of a Novel Smoking Cessation Application Tailored to Individuals with Serious Mental Illness.R01DA047301 · NIDA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI VILARDAGA, ROGER · 2020 to 2024
$3.4M
Targeting reward dysfunction as a mechanism to improve smoking cessationK23DA039294 · NIDA · DUKE UNIVERSITY · PI SWEITZER, MAGGIE M · 2016 to 2020
$817k
Smartband/smartphone-based automatic smoking detection and real time mindfulness interventionR34AT010365 · NCCIH · YALE UNIVERSITY · PI GARRISON, KATHLEEN A. · 2019 to 2020
$754k
Innovative Smartphone Application for Quitting Smoking among Seriously Mentally IIIR00DA037276 · NIDA · DUKE UNIVERSITY · PI VILARDAGA, ROGER · 2016 to 2018
$747k
Real-time fMRI neurofeedback of large-scale network dynamics in opioid use disorderR21DA049583 · NIDA · YALE UNIVERSITY · PI GARRISON, KATHLEEN A., SCHEINOST, DUSTIN · 2019 to 2020
$461k
Early-phase Studies of a Tailored Evidence-Based Smoking Cessation mHealth App for Persons Living with HIVR21CA243911 · NCI · DUKE UNIVERSITY · PI VILARDAGA, ROGER · 2019 to 2020
$385k
NCATS NIH HHS UL1 TR001863NCCIH NIH HHS R34 AT010365NCI NIH HHS R21 CA243911NIDA NIH HHS K23 DA039294NIDA NIH HHS R00 DA037276NIDA NIH HHS R01 DA047301NIDA NIH HHS R21 DA049583
6 · The paper itself

Abstract

purpose of reviewOpioid misuse, addiction, and related harm is a global crisis that affects public health and social and economic welfare. Many of the strategies being used to combat the opioid crisis could benefit from improved access and dissemination, such as that afforded by smartphone apps. The goal of this study was to characterize the purpose, audience, quality and popularity of opioid-related smartphone apps. Using web scraping, available information from 619 opioid-related apps (e.g., popularity metrics) was downloaded from Google Play, and 59 apps met criteria for review. The apps were additionally coded for quality by two raters using an 8-item screener for the American Psychiatric Association App Evaluation Model.

findingsSixty one percent of apps targeted patients, 29% providers, 8% the general community, and 2% healthcare trainees. Regarding app purpose, 49% addressed treatment, 27% prevention, and 24% overdose. Only one app met all criteria on the screener for quality, and there was no association between a total score calculated for the screener and measures of app popularity (e.g., star ratings; R SUMMARY: Opioid-related apps available for consumers addressed key stakeholders (patients, providers, community) and were consistent with strategies to address the opioid crisis (prevention, treatment, overdose). However, there was little evidence that available opioid-related apps meet basic quality standards, and no relationship was found between app quality and popularity. This review was conducted at the level of consumer decision-making (i.e., the app store), where only a handful of opioid-related apps met quality standards enough to warrant a more detailed evaluation of the app before recommendation for use. Because smartphone apps could be a critical tool to increase access to and utilization of opioid prevention, treatment, and recovery services, further development and testing is sorely needed.

Indexed as

mHealthmobile healthopiateopioid use disorderoverdosesmartphone app

Identifiers

PMID33777644
PMCPMC7993400

What OpenQuestion holds

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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.