2015
DOI: 10.2196/mhealth.4405
|View full text |Cite
|
Sign up to set email alerts
|

Cannabis Mobile Apps: A Content Analysis

Abstract: BackgroundMobile technology is pervasive and widely used to obtain information about drugs such as cannabis, especially in a climate of rapidly changing cannabis policy; yet the content of available cannabis apps is largely unknown. Understanding the resources available to those searching for cannabis apps will clarify how this technology is being used to reflect and influence cannabis use behavior.ObjectiveWe investigated the content of 59 cannabis-related mobile apps for Apple and Android devices as of Novem… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

1
47
0

Year Published

2016
2016
2024
2024

Publication Types

Select...
5
2
1

Relationship

0
8

Authors

Journals

citations
Cited by 40 publications
(48 citation statements)
references
References 19 publications
1
47
0
Order By: Relevance
“…The total number of apps yielded from our search was similar to prior studies of recovery apps. [11,12,15] Due to the large number of apps retrieved in our initial search, apps without any user star ratings or reviews were also excluded in the preliminary screening. Apps that met preliminary inclusion criteria were then downloaded to co-authors' smartphones and assessed for accessibility, functionality, and relevancy of app content to reducing substance use (see Figure 1).…”
Section: Smartphone App Selectionmentioning
confidence: 99%
See 1 more Smart Citation
“…The total number of apps yielded from our search was similar to prior studies of recovery apps. [11,12,15] Due to the large number of apps retrieved in our initial search, apps without any user star ratings or reviews were also excluded in the preliminary screening. Apps that met preliminary inclusion criteria were then downloaded to co-authors' smartphones and assessed for accessibility, functionality, and relevancy of app content to reducing substance use (see Figure 1).…”
Section: Smartphone App Selectionmentioning
confidence: 99%
“…[14] Studies assessing mHealth apps targeting SUDs in smartphone stores (i.e., Google Play and/or iTunes) described mostly commercially driven apps that failed to offer evidence-based psychosocial interventions or link users to addiction treatment providers. [11,12,15] In a descriptive analysis of apps addressing alcohol use, Weaver and colleagues also found that apps claiming to inform users of their possible blood alcohol concentration, actually promoted risky drinking behavior via games and other entertaining features. [12] Searches also yielded many recreational apps that promoted drug cultivation, trafficking, and simulated use.…”
Section: Introductionmentioning
confidence: 99%
“…While there are numerous healthcare applications out there, one of the main concerns pertains to the evidence base and quality of the information contained within the application. Previous content analysis conducted on cannabis-related application has shown that they are of poor evidence base 3. In particular, it should be noted that most of the applications were recreational in nature, and it was purported that these applications might be responsible for the changing perception of youths towards drugs such as cannabis.…”
Section: Video Featurementioning
confidence: 99%
“…In particular, it should be noted that most of the applications were recreational in nature, and it was purported that these applications might be responsible for the changing perception of youths towards drugs such as cannabis. The authors3 highlighted that smartphone applications addressing addiction issues and cessation were under-represented in the current application stores.…”
Section: Video Featurementioning
confidence: 99%
“…A number of other studies regarding the usability of health apps have reported findings [24-26], a content analysis guide [27], a mobile website framework [28], and an app design and development guideline [9]. One app-usability study [28] built upon Nielsen’s usability heuristics [29], but was not health-tailored.…”
Section: Introductionmentioning
confidence: 99%