Uptake and usage of IntelliCare: A publicly available suite of mental health and well-being apps
Open accessAbstract
BACKGROUND: Treatments for depression and anxiety have several behavioral and psychological targets and rely on varied strategies. Digital mental health treatments often employ feature-rich approaches addressing several targets and strategies. These treatments, often optimized for desktop computer use, are at odds with the ways people use smartphone applications. Smartphone use tends to focus on singular functions with easy navigation to desired tools. The IntelliCare suite of apps was developed to address the discrepancy between need for diverse behavioral strategies and constraints imposed by typical app use. Each app focuses on one strategy for a limited subset of clinical aims all pertinent to depression and anxiety. This study presents the uptake and usage of apps from the IntelliCare suite following an open deployment on a large app marketplace. METHODS: Thirteen lightweight apps, including 12 interactive apps and one Hub app that coordinates use across those interactive apps, were developed and made free to download on the Google Play store. De-identified app usage data from the first year of IntelliCare suite deployment were analyzed for this study. RESULTS: In the first year of public availability, 5,210 individuals downloaded one or more of the IntelliCare apps, for a total of 10,131 downloads. Nearly a third of these individuals (31.8%) downloaded more than one of these apps. The modal number of launches for each of the apps was 1, however the mean number of app launches per app ranged from 3.10 to 16.98, reflecting considerable variability in the use of each app. CONCLUSIONS: The use rate of the IntelliCare suite of apps is higher than public deployments of other comparable digital resources. Our findings suggest that people will use multiple apps and provides support for the concept of app suites as a useful strategy for providing diverse behavioral strategies.
AI snapshot
Written from the paper’s full text.
TL;DR
The IntelliCare suite—12 interactive mental health/well-being apps plus a Hub app—was freely deployed on Google Play, and first-year uptake and usage were analyzed. Many users downloaded multiple apps, and usage was higher than some prior public digital health deployments, but engagement varied widely and efficacy was not assessed.
Key findings
- In the first year, 5,210 individuals downloaded one or more IntelliCare apps, totaling 10,131 downloads; 31.8% downloaded more than one app, mean apps downloaded was 1.94, and modal apps downloaded was 1.
- The Hub app was installed by 1,613 users (30.9%); 965 users (18.5% of all users) downloaded the Hub plus at least one interactive app. Hub users typically downloaded more interactive apps than non-Hub users, χ²(11) = 1370.05, p < 0.001.
- Mean app launches per app ranged from 3.10 for ME Locate to 16.98 for Daily Feats, while the modal number of launches for each app was 1. Active users (≥10 sessions) ranged from 4.69% for ME Locate to 35.70% for Daily Feats.
- Sustained use varied by app: more-than-1-day use ranged from 38.67% for ME Locate to 70.19% for Daily Feats; at 28 days, table values ranged from 12.02% for Aspire to 23.30% for Daily Feats.
Methods
- Open, naturalistic deployment: 13 lightweight apps (12 interactive apps plus one Hub app) were developed by Northwestern University’s Center for Behavioral Intervention Technologies and made free on the Google Play store; de-identified usage data from the first year were analyzed.
- Outcomes were app downloads and launches. A launch session was defined as user-initiated action within the app separated by <5 minutes; users were deemed “active” if they used an app 10 or more times, based on Helander et al. (2015). Time between first and last use was extracted for continued engagement.
- Analyses included descriptive statistics and comparisons between Hub users and non-Hub users, using chi-square and Mann-Whitney U tests.
Limitations
- Stated in the paper: the data are an early snapshot; users had to seek out IntelliCare and may be more motivated early adopters; there were no reliable efficacy data, and use may not directly relate to outcome; the Hub recommendation feature showed no evidence of effect; Hub use was not randomly assigned and the study was not a comparative trial.
- Evident from the text: the sample is self-selected from a public app marketplace, with no demographic or clinical outcome data reported, so findings describe uptake/usage patterns rather than effectiveness or causal effects.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
0 of 30 cited sources checked · 0 supported · 0 flagged
- Findingown data
Of the 5210 users, 1613 (30.9%) installed the IntelliCare Hub.
“Of the 5210 users included in these analyses, 1613 (30.9%) users installed the IntelliCare Hub on their mobile phones.”
Quote in the paperNot a substantial claim - Findingown data
Nearly a third (31.8%) of individuals who downloaded IntelliCare apps downloaded more than one app.
“Nearly a third of these individuals (31.8%) downloaded more than one of these apps.”
- Also stated in: § Rate of download · plain
“Nearly a third of these individuals (31.8%) downloaded more than one of these apps (see Table 2).”
Quote in the paperNot a substantial claim - Also stated in: § Rate of download · plain
- Findingown data
For 648 users, the Hub app was the only app installed.
“For 648 of these users, the Hub app was the only app installed.”
Quote in the paperNot a substantial claim - Findingown data
Despite the novelty of an app suite method for mental healthcare, substantial numbers of people downloaded and used multiple apps.
“Despite the novelty of an app suite method for mental healthcare, substantial numbers of people downloaded and used multiple apps.”
Quote in the paperSubstantial claim - Findingown data
The length of time between downloads was significantly greater for those who downloaded the Hub app compared to those who did not.
“Results of a Mann-Whitney U test indicated that the length of time between downloads was significantly greater for those who downloaded the Hub app compared to those who did not (Z = 7.203, p < 0.001).”
Quote in the paperNot a substantial claim
- Findingown data
Active use of IntelliCare apps ranged from 4.7% to 35.7%.
“In contrast, active use of IntelliCare apps ranged from 4.7% to 35.7%.”
Quote in the paperSubstantial claim - Findingown data
The percentage of active users (defined as 10 or more app sessions) ranged from 4.69% for ME Locate to 35.70% for Daily Feats.
“the percentage of active users ranged from 4.69% (for ME Locate) to 35.70% (for Daily Feats)”
Quote in the paperNot a substantial claim - Findingown data
For users who launched an app at least twice, the time interval between first and last use was significantly greater for Hub users than non-Hub users (p < 0.001).
“for users who launched an app at least twice, the time interval between first and last use was significantly greater for Hub users than non-Hub users (p < 0.001)”
Quote in the paperNot a substantial claim - Findingreasoning
965 users (18.5% of all users) downloaded the Hub app in addition to at least one interactive app.
“These left a total of 965 (18.5% of all users) who downloaded the Hub app in addition to at least one of the interactive apps.”
Quote in the paperNot a substantial claim - Findingown data
21.1% of users downloaded the Hub app.
“Even though a coordinating Hub app is a novel method of interfacing with users, 21.1% of users downloaded it.”
Quote in the paperSubstantial claim - Findingown data
The early April press release generated the greatest number of downloads for the IntelliCare suite.
“As seen in Fig. 2, the early April press release generated the greatest number of downloads for the IntelliCare suite.”
Quote in the paperNot a substantial claim - Findingown data
Repeated use varied considerably across IntelliCare apps.
“Repeated use varied considerably across apps.”
Quote in the paperNot a substantial claim - Findingown data
The modal number of sessions for each IntelliCare app was 1.
“The modal number of sessions for each of the apps was 1”
Quote in the paperNot a substantial claim - Findingown data
The most popular initial app to download was the IntelliCare Hub, with 25.9% of all users downloading it first.
“The most popular initial app to download was the IntelliCare Hub, with 25.9% of all users downloading it first.”
Quote in the paperNot a substantial claim - Findingown data
Approximately half of users (ranging from 38.67% for ME Locate to 70.19% for Daily Feats) continued to use the apps for more than one day.
“approximately half of users (ranging from 38.67% for ME Locate and 70.19% for Daily Feats) continued to use the apps for more than one day”
Quote in the paperNot a substantial claim - Findingown data
Many users returned to use each IntelliCare app multiple times.
“many of the users returned to use each app multiple times”
Quote in the paperNot a substantial claim - Findingown data
Seven days after download, approximately one-third of users continued to use the apps.
“Seven days after download, approximately one-third of users continued to use the apps.”
Quote in the paperNot a substantial claim - Findingown data
Individuals who downloaded the IntelliCare Hub typically downloaded more separate interactive apps than those who did not.
“individuals who downloaded the IntelliCare Hub typically downloaded more separate interactive apps within the IntelliCare suite than those who did not, χ2(11) = 1370.05, p < 0.001.”
Quote in the paperNot a substantial claim - Findingown data
Daily Feats remained the most continuously used app with 23.30% of initial users demonstrating sustained engagement at 28 days.
“Daily Feats remained the most continuously used app with 23.30% of initial users demonstrating sustained engagement at this time.”
Quote in the paperNot a substantial claim - Findingown data
The effect of Hub use on time interval between first and last use was driven primarily by Aspire, Daily Feats, and Slumber Time (ps < 0.001).
“This effect was driven primarily by Aspire, Daily Feats, and Slumber Time (ps < 0.001).”
Quote in the paperNot a substantial claim - Findingown data
More than half of users (57.10%) downloaded all of their apps within a 24-hour period.
“More than half of users (57.10%) downloaded all of their apps within a 24-hour period.”
Quote in the paperNot a substantial claim - Findingown data
Mean number of app launches per app ranged from 3.10 for ME Locate to 16.98 for Daily Feats.
“mean number of app launches per app ranging from a low of 3.10 for ME Locate to a high of 16.98 for Daily Feats”
Quote in the paperNot a substantial claim - Findingreasoning
There was no evidence that the recommendation feature had any effect.
“Thus, there was no evidence that the recommendation feature had any effect.”
Quote in the paperSubstantial claim - Interpretationown data
People will use multiple apps.
“Our findings suggest that people will use multiple apps and provides support for the concept of app suites as a useful strategy for providing diverse behavioral strategies.”
Quote in the paperSubstantial claim - Interpretationnone given
The use rate of the IntelliCare suite of apps is higher than public deployments of other comparable digital resources.
“The use rate of the IntelliCare suite of apps is higher than public deployments of other comparable digital resources.”
Quote in the paperNot a substantial claim - Premisecitation
The desired integration of multiple strategies, or practice elements, into BITs has led to the development of feature-rich applications designed mainly for use on a computer.
“The desired integration of multiple strategies, or practice elements, into BITs has led to the development of feature-rich applications (Titov et al., 2011, van Straten et al., 2008, Whitton et al., 2015) designed mainly for use on a computer.”
Quote in the paperNot a substantial claim0 of 3 sources checked - Premisecitation
Even the largest group of users deemed "semi-active" (11% of total users) only used the app for an average of 9.3 days.
“Even the largest group of users deemed “semi-active” (11% of total users) only used the app for an average of 9.3 days.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Helander et al. (2014) source
Not checked in the free run.
- Premisecitation
Only 13.6% of people who downloaded the app in Helander's study used the core functionality (taking a picture) more than once.
“Only 13.6% people who downloaded the app in Helander's study used the core functionality (taking a picture) more than once.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Helander et al. (2014) source
Not checked in the free run.
- Study design and conductcitation
The initial engagement numbers represent an early snapshot, in contrast to other reports that have analyzed 100,000s of users over longer periods of time.
“while these initial engagement numbers are encouraging, they represent an early snapshot, in contrast to other reports that have analyzed 100,000′s of users over longer periods of time (Muñoz et al., 2015, Helander et al., 2014).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Muñoz et al., 2015
Not checked in the free run.
- cites Helander et al., 2014 source
Not checked in the free run.
- Rests on an assumption: The IntelliCare suite does not appear early in app store searches using common search terms such as “depression” or “anxiety.”
- Premisecitation
Helander and colleagues (2015) found that 2.6% of all downloads of a health eating app were active users.
“Helander and colleagues (2015) found that 2.6% of all downloads of a health eating app were active users.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Helander and colleagues (2015)
Not checked in the free run.
- Interpretationown data
Results from the open deployment suggest that many people will use multiple mental health apps from an integrated app suite to meet their own needs.
“Results from our open deployment suggest that many people will use multiple mental health apps from an integrated app suite to meet their own needs.”
Quote in the paperSubstantial claim - Interpretationreasoning
Some of the variability in use of IntelliCare apps is likely due to usability issues.
“However, some of this variability is likely due to usability issues.”
Quote in the paperNot a substantial claim - Interpretationown data
App suites are a useful strategy for providing diverse behavioral strategies.
“Our findings suggest that people will use multiple apps and provides support for the concept of app suites as a useful strategy for providing diverse behavioral strategies.”
Quote in the paperSubstantial claim - Interpretationown data
The relationship between Hub use and use of other clinical apps is consistent with the concept of a central managing hub app method of coordinating user experience with a suite of apps.
“This is consistent with the concept of a central managing hub app method of coordinating user experience with a suite of apps.”
Quote in the paperSubstantial claim - Interpretationown data
Usage patterns from this public deployment suggest that integrated app suites may have the potential to introduce multiple components of evidence-based mental health treatments to the general public in a format that matches prevailing app use trends and promotes both usage and self-tailoring.
“Usage patterns from this public deployment suggest that integrated app suites may have the potential to introduce multiple components of evidence-based mental health treatments to the general public in a format that matches prevailing app use trends (e.g., a focus on lightweight functionality with easy navigation to desired tools), and in a way that promotes both usage and self-tailoring.”
Quote in the paperSubstantial claim - Premisecitation
Meta-analytic reviews have demonstrated the efficacy of web-based computer treatment programs for anxiety and depression.
“Meta-analytic reviews have demonstrated the efficacy of web-based computer treatment programs for anxiety and depression, which are delivered in a manner that reduces many known barriers to traditionally-delivered, face to face services (Andrews et al., 2010, Richards and Richardson, 2012).”
Quote in the paperNot a substantial claim0 of 2 sources checked - Interpretationreasoning
Uptake and use are necessary requirements before exploring effectiveness.
“Therefore, uptake and use are necessary requirements before exploring effectiveness.”
Quote in the paperNot a substantial claim - Interpretationown data
The relatively low engagement among some of the IntelliCare apps bears out the authors' expectation that not all of the apps would be successful.
“We did not expect all of the apps to be successful, and these expectations appear to be borne out by the relatively low engagement among some of the apps.”
Quote in the paperNot a substantial claim - Premisecitation
Use is not a given for healthcare apps.
“Furthermore, use is not a given for healthcare apps.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Helander et al. (2014) source
Not checked in the free run.
- Premisecitation
Substantially less is known about the use of mobile apps for the treatment of anxiety and depression.
“Substantially less is known about the use of mobile apps for the treatment of anxiety and depression (Torous & Powell, 2015).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Torous & Powell, 2015
Not checked in the free run.
- Premisecitation
Many individuals who download a commercially developed health management app never use the app.
“As illustrated by Helander et al. (2014), many individuals who download a commercially developed health management app never use the app.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Helander et al. (2014) source
Not checked in the free run.
- Interpretationown data
Many of the apps, including Daily Feats, Day to Day, MyMantra and Slumber Time, appear to be performing well, as they are used consistently and frequently.
“Many of the apps, including Daily Feats, Day to Day, MyMantra and Slumber Time, appear to be performing well, as they are used consistently and frequently.”
Quote in the paperNot a substantial claim - Interpretationown data
Usage of apps within the IntelliCare suite was higher than what has previously been reported in past public deployments of BITs.
“Usage of apps within the IntelliCare suite was higher than what has previously been reported in past public deployments of BITs.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Helander and colleagues (2015)
Not checked in the free run.
- Premisecitation
Once individuals have downloaded an app they like, they tend to visit the apps frequently in very short bursts of time.
“Once individuals have downloaded an app they like, they tend to visit the apps frequently in very shorts bursts of time (Oulasvirta et al., 2005, Vaish et al., 2014).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Oulasvirta et al., 2005
Not checked in the free run.
- cites Vaish et al., 2014
Not checked in the free run.
- Interpretationreasoning
Failure to account for public marketplace download in empirical investigations decreases the generalizability of findings to likely end users.
“Failure to account for this in empirical investigations decreases the generalizability of findings to likely end users.”
Quote in the paperSubstantial claim- Rests on an assumption: Apps are generally downloaded directly by consumers through public marketplaces.
- Interpretationcitation
These brief interactions suggest that most people discontinue use prior to likely having received any clinically meaningful benefit.
“These brief interactions suggest that most people discontinue use prior to likely having received any clinically meaningful benefit.”
Quote in the paperSubstantial claim - Premisecitation
In previous large-scale deployments that have revisited their data over time, early trends tend to be retained in subsequent visitors even with changes in demographics of those who visit.
“in previous large-scale deployments that have revisited their data over time, early trends tend to be retained in subsequent visitors even with changes in demographics of those who visit (Muñoz et al., 2012, Muñoz et al., 2015).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Muñoz et al., 2012
Not checked in the free run.
- cites Muñoz et al., 2015
Not checked in the free run.
- Study design and conductnone given
The study has no reliable data on efficacy at this point.
“We also have no reliable data on efficacy at this point.”
Quote in the paperSubstantial claim - Premisecitation
A recent pilot randomized controlled trial examining an app for PTSD found that those users who received coach support had better outcomes than those who did not.
“a recent pilot randomized controlled trial examining an app for PTSD found that those users who received coach support had better outcomes than those who did not (Possemato et al., 2015).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Possemato et al., 2015
Not checked in the free run.
- Premisecitation
The use of support from coaches or therapists in Internet-based treatments for depression and anxiety has been found to have moderate to large outcome effect sizes.
“The use of support from coaches or therapists in Internet-based treatments for depression and anxiety have been found to have moderate to large outcome effect sizes (Andersson and Cuijpers, 2009, Cuijpers et al., 2009, Baumeister et al., 2014).”
Quote in the paperSubstantial claim0 of 3 sources checked - Premisecitation
Use and outcome may not be directly related.
“Use and outcome may not be directly related (Donkin et al., 2011).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Donkin et al., 2011 source
Not checked in the free run.
- May combine two claims. 17
- Classified as probably not a substantial claim. 10
May combine two claims.
Findingown dataThe modal number of apps downloaded per user was 1, and the mean number of apps downloaded was 1.94.
“The modal number of apps downloaded per user was 1, and the mean number of apps downloaded was 1.94.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe modal number of launches for each app was 1, and the mean number of app launches per app ranged from 3.10 to 16.98.
“The modal number of launches for each of the apps was 1, however the mean number of app launches per app ranged from 3.10 to 16.98, reflecting considerable variability in the use of each app.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn the first year of public availability, 5210 individuals downloaded one or more IntelliCare apps, for a total of 10,131 downloads.
“In the first year of public availability, 5210 individuals downloaded one or more of the IntelliCare apps, for a total of 10,131 downloads.”
- Also stated in: § Rate of download · plain
“By October 30, 2015, 5210 individuals downloaded one or more of the IntelliCare apps, for a total of 10,131 app downloads.”
Quote in the paperNot a substantial claim- Also stated in: § Rate of download · plain
May combine two claims.
Findingown dataUse over 14 days ranged from 18.8% to 36.5% of users, while use over 28 or more days ranged from 13.1% to 23.3%.
“Use over 14 days ranged from 18.8% to 36.5% of users, while use over 28 or more days ranged from 13.1% to 23.3%.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataUsers without the Hub were more likely to download all of their apps within a 24-hour period than Hub users; approximately 65.34% of non-Hub users vs 52.97% of Hub users did so.
“Users without the Hub (i.e., non-Hub users) were more likely to download all of their apps within a 24 hour period, χ2(1) = 29.52, p < 0.001, with approximately two-thirds (65.34%) of non-Hub users having downloaded all of their apps within a 24-hour period compared to approximately half (52.97%) of Hub users having downloaded all of their apps within this same period.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataSubstantial numbers of users persisted in using the apps and engaged with the apps over extended periods of time.
“Furthermore, substantial numbers of users persisted in using the apps and engaged with the apps over extended periods of time.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataAmong users who downloaded multiple apps, the mean time between first and last app download was 3.84 days and the median time was 2.23 days.
“Among users who downloaded multiple apps, the mean time in between first and last app download was 3.84 days and the median time in first and last app download was 2.23 days.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThose who downloaded the Hub app were more likely to download multiple apps from the suite, and use frequently and for longer periods of time.
“Those who downloaded the Hub app were more likely to download multiple apps from the suite, and use frequently and for longer periods of time.”
Quote in the paperSubstantial claimMay combine two claims.
FindingreasoningWhile the period of downloading multiple apps was significantly longer for Hub users, the difference did not appear to be meaningful.
“While this period was significantly longer for Hub users, the difference did not appear to be meaningful.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationMental health apps have the potential to be effective but often lack scientific evidence about their efficacy.
“These apps have the potential to be effective but often lack scientific evidence about their efficacy (Donker et al., 2013).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Donker et al., 2013 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationChorpita et al. (2005) have described diverse strategies found in evidence-based treatments as practice elements.
“Chorpita et al. (2005) have described these diverse strategies found in evidence-based treatments as practice elements.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Chorpita et al., 2005 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationYears of research have identified a multitude of behavioral and psychological components that contribute to depression and anxiety and many effective strategies for treatment and prevention.
“Years of research have identified a multitude of behavioral and psychological components (including activity, cognition, and emotion regulation) that contribute to depression and anxiety and many effective strategies for treatment and prevention (e.g. activity tracking, cognitive restructuring, seeking social support).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Chorpita et al., 2005 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenThe study procedures were approved by the Northwestern University Institutional Review Board (IRB).
“These procedures were approved by the Northwestern University Institutional Review Board (IRB)”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationFeasibility and early testing commonly focuses on use of specific tools.
“Feasibility and early testing commonly focuses on use of specific tools (Klasnja et al., 2011, Muñoz et al., 2015).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Klasnja et al., 2011
Not checked in the free run.
- cites Muñoz et al., 2015
Not checked in the free run.
Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).
Interpretationnone givenThe lightweight, easy to use nature of these streamlined, yet integrated, apps may increase the accessibility and willingness to engage with different methods for mood management.
“The lightweight, easy to use nature of these streamlined, yet integrated, apps may increase the accessibility and willingness to engage with different methods for mood management.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Premisenone givenUse of an integrated suite of mobile phone apps for behavior change and mental health care is a novel concept.
“To our knowledge, use of an integrated suite of mobile phone apps for behavior change and mental health care is a novel concept.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationPeople respond to different components of treatment and are likely to benefit from exposure to multiple practice elements.
“People respond to different components of treatment and are therefore likely to benefit from exposure to multiple practice elements”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Chorpita et al., 2005 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationWhen given directions, the majority of people (72%) follow through with downloading recommended apps.
“When given directions, the majority of people (72%) follow through with downloading recommended apps (IMS Institute for Healthcare Informatics, 2015).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites IMS Institute for Healthcare Informatics, 2015
Not checked in the free run.
May combine two claims.
Study design and conductnone givenThe study was not a comparative trial and use of the Hub app was not randomly assigned to users.
“However, this was not a comparative trial and use of the Hub app was not randomly assigned to users.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S4 (based). May combine two claims.
InterpretationreasoningThe recommendations were at random, and therefore not likely to be useful.
“First, the recommendations were at random, and therefore not likely to be useful.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataFor those who downloaded multiple apps, all apps tended to be downloaded within a few days, which suggests that there is a brief period during which users of the IntelliCare suite explore and make app selections.
“for those who downloaded multiple apps, all apps tended to be downloaded within a few days, which suggests that there is a brief period during which users of the IntelliCare suite explore and make app selections.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningApp utilization is an important metric in evaluating the potential reach of the intervention, but it does not present a full picture of the effectiveness of the IntelliCare suite.
“App utilization, as presented in this study, is an important metric in evaluating the potential reach of the intervention, but it does not present a full picture of the effectiveness of the IntelliCare suite.”
Quote in the paperSubstantial claim- Rests on an assumption: Effectiveness of the behavioral strategies depends in part on sustained engagement in the behaviors over time.
May combine two claims.
Interpretationown dataUptake and continued usage of these apps were higher than has been seen in previous publicly available BITs, suggesting the feasibility of such an approach.
“Uptake and continued usage of these apps were higher than has been seen in previous publicly available BITs, suggesting the feasibility of such an approach.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S4 (based).
Premisenone givenThe IntelliCare app suite is novel in that it provides users with access to multiple apps, each of which targets a specific behavioral strategy through lightweight apps.
“The IntelliCare app suite is novel in that it provides users with access to multiple apps, each of which targets a specific behavioral strategy through lightweight apps.”
Quote in the paperNot a substantial claim
The paper relies on this without support.
Smartphone use tends to focus on singular functions with easy navigation to desired tools.
“Smartphone use tends to focus on singular functions with easy navigation to desired tools.”
The paper relies on this without support.
Many apps that are presented in scientific journals are not publically available.
“On the other hand, many apps that are presented in scientific journals are not publically available.”
The paper relies on this without support.
Apps are generally downloaded directly by consumers through public marketplaces.
“Apps are generally downloaded directly by consumers through public marketplaces (e.g., Apple's App Store or the Google Play Store).”
The paper relies on this without support.
The feature-rich nature of responsive websites is often counter to how individuals use apps.
“While responsive websites can be accessed via multiple devices, including smartphones, the feature-rich nature of these sites is often counter to how individuals use apps.”
The paper relies on this without support.
People are accustomed to using apps that focus on singular functions with easy navigation to desired tools.
“but they are accustomed to using apps that focus on singular functions with easy navigation to desired tools.”
The paper relies on this without support.
The Hub app is a novel method of managing multiple apps.
“Because the Hub app is a novel method of managing multiple apps, app use was compared between those who downloaded the Hub app, and those who did not.”
The paper relies on this without support.
Most people do not know which apps could be helpful to them.
“While interest in mental health apps appears to be growing, most people do not know which apps could be helpful to them.”
The paper relies on this without support.
Effectiveness of the behavioral strategies depends in part on sustained engagement in the behaviors over time.
“This is an important metric, given that effectiveness of the behavioral strategies depends in part on sustained engagement in the behaviors over time.”
The paper relies on this without support.
The IntelliCare suite does not appear early in app store searches using common search terms such as “depression” or “anxiety.”
“The current set of users had to seek out IntelliCare, as the IntelliCare suite does not appear early in app store searches using common search terms such as “depression” or “anxiety.””
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Duplicating a design originally intended to be accessed via email or on a PC may well result in lower engagement when accessed through mobile platforms if appropriate modifications for mobile delivery are not made.
“Duplicating a design originally intended to be accessed via email or on a PC may well result in lower engagement when accessed through mobile platforms if appropriate modifications for mobile delivery are not made (Lattie et al., 2016).”
From Comparing usage of a web and app stress management intervention: An observational study (2018) · cites this paper as Lattie et al., 2016
Statistics recomputed
Every reported test result, recomputed from its test statistic and degrees of freedom. A result shows as not adding up only once an independent check has confirmed it.
- Consistentχ²(11) = 1370.05reported p < .001 · recomputed p < .001
“χ2(11) = 1370.05, p < .001”
- Consistentz = 7.203reported p < .001 · recomputed p < .001
“(Z = 7.203, p < .001”
- Consistentχ²(1) = 29.52reported p < .001 · recomputed p < .001
“χ2(1) = 29.52, p < .001”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
MyMantra 28-day percentage is miscalculated
MinorTable 6 lists 97 of 484 MyMantra users at 28 days, which is 20.04%, not 22.35%.
Reported 22.35 · recomputed 20.041322
“| MyMantra | 484 | 256 | 52.89% | 203 | 41.94% | 166 | 34.30% | 132 | 27.27% | 97 | 22.35% |”
Reported 28-day usage range excludes Aspire
MinorThe discussion gives 13.1% as the low end, but Table 6 reports 12.02% for Aspire at 28 days.
“use over 28 or more days ranged from 13.1% to 23.3%.”
“| Aspire | 1023 | 468 | 45.74% | 378 | 36.95% | 295 | 29.12% | 220 | 21.50% | 123 | 12.02% |”
Share downloading multiple apps conflicts with Table 2
MinorTable 2 says 69.12% downloaded exactly one app, leaving 30.88% who downloaded more than one-not 31.8%.
“Nearly a third of these individuals (31.8%) downloaded more than one of these apps (see Table 2).”
“| 1 | 3601 | 69.12% |”
Cites
Kessler, R. C., Chiu, W. T., Demler, O., & Walters, E. E. (2005) · Archives of General Psychiatry · doi:10.1001/archpsyc.62.6.617 · Cited by 12,052 · see citing works
Kessler, R. C., Berglund, P., Demler, O., Jin, R., Koretz, D., Merikangas, K. R., Rush, A. J., Walters, E. E., & Wang, P. S. (2003) · JAMA · doi:10.1001/jama.289.23.3095 · Cited by 7,988 · see citing works
Computer-based psychological treatments for depression: A systematic review and meta-analysis
Richards, D., & Richardson, T. (2012) · Clinical Psychology Review · doi:10.1016/j.cpr.2012.02.004 · Cited by 1,442 · see citing works
Internet-Based and Other Computerized Psychological Treatments for Adult Depression: A Meta-Analysis
Andersson, G., & Cuijpers, P. (2009) · Cognitive Behaviour Therapy · doi:10.1080/16506070903318960 · Cited by 1,368 · see citing works
Andrews, G., Cuijpers, P., Craske, M. G., McEvoy, P., & Titov, N. (2010) · PLoS ONE · doi:10.1371/journal.pone.0013196 · Cited by 1,311 · see citing works
Health App Use Among US Mobile Phone Owners: A National Survey
Krebs, P., & Duncan, D. T. (2015) · JMIR mHealth and uHealth · doi:10.2196/mhealth.4924 · Cited by 1,274 · see citing works
Rebooting psychotherapy research and practice to reduce the burden of mental illness
Kazdin, A. E., & Blase, S. L. (2011) · Perspectives on Psychological Science · doi:10.1177/1745691610393527 · Cited by 1,254 · see citing works
Smartphones for smarter delivery of mental health programs: A systematic review
Donker, T., Petrie, K., Proudfoot, J., Clarke, J., Birch, M.-R., & Christensen, H. (2013) · Journal of Medical Internet Research · doi:10.2196/jmir.2791 · Cited by 1,136 · see citing works
Mohr, D. C., Cuijpers, P., & Lehman, K. (2011) · Journal of Medical Internet Research · doi:10.2196/jmir.1602 · Cited by 1,097 · see citing works
Self-citationThe impact of guidance on Internet-based mental health interventions — A systematic review
Baumeister, H., Reichler, L., Munzinger, M., & Lin, J. (2014) · Internet Interventions · doi:10.1016/j.invent.2014.08.003 · Cited by 1,037 · see citing works
A Systematic Review of the Impact of Adherence on the Effectiveness of e-Therapies
Donkin, L., Christensen, H., Naismith, S. L., Neal, B., Hickie, I. B., & Glozier, N. (2011) · Journal of Medical Internet Research · doi:10.2196/jmir.1772 · Cited by 876 · see citing works
Chorpita, B. F., Daleiden, E. L., & Weisz, J. R. (2005) · Mental Health Services Research · doi:10.1007/s11020-005-1962-6 · Cited by 717 · see citing works
Interaction in 4-second bursts: the fragmented nature of attentional resources in mobile HCI
Oulasvirta, A., Tamminen, S., Roto, V., & Kuorelahti, J. (2005) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/1054972.1055101 · Cited by 576 · see citing works
Mohr, D. C., Schueller, S. M., Montague, E., Burns, M. N., & Rashidi, P. (2014) · Journal of Medical Internet Research · doi:10.2196/jmir.3077 · Cited by 510 · see citing works
Self-citationComputer‐Aided Psychotherapy for Anxiety Disorders: A Meta‐Analytic Review
Cuijpers, P., Marks, I. M., van Straten, A., Cavanagh, K., Gega, L., & Andersson, G. (2009) · Cognitive Behaviour Therapy · doi:10.1080/16506070802694776 · Cited by 429 · see citing works
How to evaluate technologies for health behavior change in HCI research
Klasnja, P., Consolvo, S., & Pratt, W. (2011) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/1978942.1979396 · Cited by 414 · see citing works
van Straten, A., Cuijpers, P., & Smits, N. (2008) · Journal of Medical Internet Research · doi:10.2196/jmir.954 · Cited by 297 · see citing works
Understanding the Common Elements of Evidence-Based Practice
Chorpita, B. F., Becker, K. D., & Daleiden, E. L. (2007) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1097/chi.0b013e318033ff71 · Cited by 292 · see citing works
Torous, J., Friedman, R., & Keshavan, M. (2014) · JMIR mHealth and uHealth · doi:10.2196/mhealth.2994 · Cited by 287 · see citing works
Transdiagnostic internet treatment for anxiety and depression: a randomised controlled trial
Titov, N., Dear, B. F., Schwencke, G., Andrews, G., Johnston, L., Craske, M. G., & McEvoy, P. (2011) · Behaviour Research and Therapy · doi:10.1016/j.brat.2011.03.007 · Cited by 285 · cited 1× · see citing works
“The desired integration of multiple strategies, or practice elements, into BITs has led to the development of feature-rich applications (Titov et al., 2011; van Straten et al., 2008; Whitton et al., 2015) designed mainly for use on a computer.”
BackgroundUsing evidence-based internet interventions to reduce health disparities worldwide.
Muñoz, R. F. (2010) · Journal of Medical Internet Research · doi:10.2196/jmir.1463 · Cited by 242 · see citing works
Smith, A. W., McGeeney, K., & Duggan, M. (2015) · Cited by 176 · see citing works
Possemato, K., Kuhn, E., Johnson, E., Hoffman, J. E., Owen, J. E., Kanuri, N., De Stefano, L., & Brooks, E. (2016) · General Hospital Psychiatry · doi:10.1016/j.genhosppsych.2015.09.005 · Cited by 167 · see citing works
Continuous Evaluation of Evolving Behavioral Intervention Technologies
Mohr, D. C., Cheung, K., Schueller, S. M., Brown, C. H., & Duan, N. (2013) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2013.06.006 · Cited by 166 · see citing works
Self-citationMohr, D. C., Siddique, J., Ho, J., Duffecy, J., Jin, L., & Fokuo, J. K. (2010) · Annals of Behavioral Medicine · doi:10.1007/s12160-010-9203-7 · Cited by 154 · cited 1× · see citing works
“Unfortunately, only a third of those in need actually receive services (Kessler et al., 2005), a problem that is in part due to substantial barriers to receiving traditionally delivered face-to-face mental health services (Mohr et al., 2010).”
BackgroundSelf-citationHelander, E., Kaipainen, K., Korhonen, I., & Wansink, B. (2014) · Journal of Medical Internet Research · doi:10.2196/jmir.3084 · Cited by 143 · see citing works
Massive Open Online Interventions
Muñoz, R. F., Bunge, E. L., Chen, K., Schueller, S. M., Bravin, J. I., Shaughnessy, E. A., & Pérez‐Stable, E. J. (2015) · Clinical Psychological Science · doi:10.1177/2167702615583840 · Cited by 132 · see citing works
Self-citationCurrent research and trends in the use of smartphone applications for mood disorders
Torous, J., & Powell, A. C. (2015) · Internet Interventions · doi:10.1016/j.invent.2015.03.002 · Cited by 121 · see citing works
Twitch crowdsourcing: crowd contributions in short bursts of time
Vaish, R., Wyngarden, K., Chen, J., Cheung, B., & Bernstein, M. S. (2014) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/2556288.2556996 · Cited by 95 · see citing works
Schueller, S. M., Tomasino, K. N., & Mohr, D. C. (2017) · Clinical Psychology: Science and Practice · doi:10.1037/h0101740 · Cited by 70 · see citing works
Self-citationWhitton, A. E., Proudfoot, J., Clarke, J., Birch, M.-R., Parker, G., Manicavasagar, V., & Hadzi-Pavlovic, D. (2015) · JMIR Mental Health · doi:10.2196/mental.3573 · Cited by 69 · see citing works
Muñoz, R. F., Aguilera, A., Schueller, S. M., Leykin, Y., & Pérez‐Stable, E. J. (2012) · Journal of Medical Internet Research · doi:10.2196/jmir.1852 · Cited by 42 · see citing works
Self-citation
Flagged first, then by citations
1 of the 33 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Firth, J., Torous, J., Nicholas, J., Carney, R., Pratap, A., Rosenbaum, S., & Sarris, J. (2017) · World Psychiatry · doi:10.1002/wps.20472 · Cited by 1,097 · see citing works
Fleming, T., Bavin, L., Lucassen, M., Stasiak, K., Hopkins, S., & Merry, S. (2018) · Journal of Medical Internet Research · doi:10.2196/jmir.9275 · Cited by 670 · see citing works
IntelliCare: An Eclectic, Skills-Based App Suite for the Treatment of Depression and Anxiety
Mohr, D. C., Tomasino, K. N., Lattie, E. G., Palac, H. L., Kwasny, M. J., Weingardt, K., Karr, C. J., Kaiser, S. M., Rossom, R. C., Bardsley, L. R., et al. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.6645 · Cited by 301 · see citing works
Self-citationLipschitz, J. M., Pike, C. K., Hogan, T. P., Murphy, S. A., & Burdick, K. E. (2023) · Current Treatment Options in Psychiatry · doi:10.1007/s40501-023-00297-3 · Cited by 230 · see citing works
Schueller, S. M., Neary, M., O'Loughlin, K., & Adkins, E. C. (2018) · Journal of Medical Internet Research · doi:10.2196/10141 · Cited by 167 · see citing works
Self-citationProviding Human Support for the Use of Digital Mental Health Interventions: Systematic Meta-review
Werntz, A., Amado, S., Jasman, M., Ervin, A., & Rhodes, J. E. (2023) · Journal of Medical Internet Research · doi:10.2196/42864 · Cited by 158 · see citing works
Baumel, A., Edan, S., & Kane, J. M. (2019) · Translational Behavioral Medicine · doi:10.1093/tbm/ibz147 · Cited by 143 · see citing works
Cognitive-Behavioral Therapy in the Digital Age: Presidential Address
Wilhelm, S., Weingarden, H. M., Ladis, I., Braddick, V., Shin, J. Y., & Jacobson, N. C. (2019) · Behavior Therapy · doi:10.1016/j.beth.2019.08.001 · Cited by 122 · see citing works
Mohr, D. C., Schueller, S. M., Tomasino, K. N., Kaiser, S. M., Alam, N., Karr, C., Vergara, J. L., Gray, E. L., Kwasny, M. J., & Lattie, E. G. (2019) · Journal of Medical Internet Research · doi:10.2196/13609 · Cited by 116 · see citing works
Self-citationClinically Meaningful Use of Mental Health Apps and its Effects on Depression: Mixed Methods Study
Zhang, R., Nicholas, J., Knapp, A. A., Graham, A. K., Gray, E., Kwasny, M. J., Reddy, M., & Mohr, D. C. (2019) · Journal of Medical Internet Research · doi:10.2196/15644 · Cited by 91 · see citing works
Self-citationForbes, A., Keleher, M. R., Venditto, M., & DiBiasi, F. (2023) · Journal of Medical Internet Research · doi:10.2196/43727 · Cited by 94 · see citing works
Flett, J. A. M., Conner, T. S., Riordan, B. C., Patterson, T., & Hayne, H. (2020) · Psychology & Health · doi:10.1080/08870446.2019.1711089 · Cited by 84 · see citing works
Connolly, S. L., Hogan, T. P., Shimada, S. L., & Miller, C. J. (2020) · Journal of Technology in Behavioral Science · doi:10.1007/s41347-020-00165-4 · Cited by 78 · see citing works
Lattie, E. G., Nicholas, J., Knapp, A. A., Skerl, J. J., Kaiser, S. M., & Mohr, D. C. (2019) · Administration and Policy in Mental Health and Mental Health Services Research · doi:10.1007/s10488-019-00979-2 · Cited by 81 · see citing works
Self-citationMitchell, L. M., Joshi, U., Patel, V., Lu, C., & Naslund, J. A. (2021) · Journal of Affective Disorders · doi:10.1016/j.jad.2021.01.092 · Cited by 80 · see citing works
Efficacy of Guided iCBT for Depression and Mediation of Change by Cognitive Skill Acquisition
Forand, N. R., Barnett, J. G., Strunk, D. R., Hindiyeh, M. U., Feinberg, J. E., & Keefe, J. R. (2017) · Behavior Therapy · doi:10.1016/j.beth.2017.04.004 · Cited by 75 · see citing works
Zhang, R., Ringland, K. E., Paan, M., Mohr, D. C., & Reddy, M. C. (2021) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3411764.3445771 · Cited by 75 · see citing works
Self-citationSchueller, S. M., Glover, A. C., Rufa, A. K., Dowdle, C. L., Gross, G. D., Karnik, N. S., & Zalta, A. K. (2019) · JMIR mhealth and uhealth · doi:10.2196/12347 · Cited by 70 · see citing works
Self-citationAnmella, G., Sanabra, M., Primé‐Tous, M., Segú, X., Cavero, M., Morilla, I., Grande, I., Ruíz, V., Mas, A., Martín‐Villalba, I., et al. (2023) · Journal of Medical Internet Research · doi:10.2196/43293 · Cited by 74 · see citing works
Toward Game-Based Digital Mental Health Interventions: Player Habits and Preferences
Mandryk, R. L., & Birk, M. V. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.6906 · Cited by 69 · see citing works
Kornfield, R., Zhang, R., Nicholas, J., Schueller, S. M., Cambo, S. A., Mohr, D. C., & Reddy, M. (2020) · Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3313831.3376309 · Cited by 64 · see citing works
Self-citationRubanovich, C. K., Mohr, D. C., & Schueller, S. M. (2017) · JMIR Mental Health · doi:10.2196/mental.7603 · Cited by 63 · see citing works
Self-citationBidargaddi, N. P., Musiat, P., Winsall, M., Vogl, G., Blake, V., Quinn, S. J., Orlowski, S., Antezana, G., & Schrader, G. D. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.6775 · Cited by 59 · see citing works
Cheung, K., Ling, W., Karr, C. J., Weingardt, K. R., Schueller, S. M., & Mohr, D. C. (2018) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocy023 · Cited by 61 · see citing works
Self-citationEngagement with mobile health interventions for depression: A systematic review
Molloy, A. G., & Anderson, P. L. (2021) · Internet Interventions · doi:10.1016/j.invent.2021.100454 · Cited by 58 · see citing works
Stiles-Shields, C., Montague, E., Kwasny, M. J., & Mohr, D. C. (2019) · Psychological Services · doi:10.1037/ser0000261 · Cited by 59 · see citing works
Self-citationChen, A. T., Wu, S., Tomasino, K. N., Lattie, E. G., & Mohr, D. C. (2019) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2019.103187 · Cited by 58 · see citing works
“Consistent use is encouraged using streaks, in which consistent use over a number of days levels the user up to another set of activities[26].”
BackgroundSelf-citationComparing usage of a web and app stress management intervention: An observational study
Morrison, L. G., Geraghty, A. W. A., Lloyd, S., Goodman, N., Michaelides, D. T., Hargood, C., Weal, M., & Yardley, L. (2018) · Internet Interventions · doi:10.1016/j.invent.2018.03.006 · Cited by 57 · see citing works
Martinengo, L., Stona, A., Griva, K., Dazzan, P., Pariante, C. M., von Wangenheim, F., & Car, J. (2021) · Journal of Medical Internet Research · doi:10.2196/27619 · Cited by 57 · see citing works
Human Support in App-Based Cognitive Behavioral Therapies for Emotional Disorders: Scoping Review
Bernstein, E. E., Weingarden, H. M., Wolfe, E. C., Hall, M. D., Snorrason, Í., & Wilhelm, S. (2022) · Journal of Medical Internet Research · doi:10.2196/33307 · Cited by 55 · see citing works
Bear, H. A., Ayala‐Nunes, L., DeJesus, J., Liverpool, S., Moltrecht, B., Neelakantan, L., Harriss, E., Watkins, E. R., & Fazel, M. S. (2022) · Journal of Medical Internet Research · doi:10.2196/40347 · Cited by 54 · see citing works
Adkins, E. C., Zalta, A. K., Boley, R. A., Glover, A., Karnik, N. S., & Schueller, S. M. (2017) · Psychological Services · doi:10.1037/ser0000120 · Cited by 52 · see citing works
Self-citationMental Health Apps in Psychiatric Treatment: A Patient Perspective on Real World Technology Usage
Chiauzzi, E., & Newell, A. (2019) · JMIR Mental Health · doi:10.2196/12292 · Cited by 46 · see citing works
Conley, C. S., Raposa, E. B., Bartolotta, K., Broner, S. E., Hareli, M., Forbes, N., Christensen, K. M., & Assink, M. (2022) · JMIR Mental Health · doi:10.2196/34254 · Cited by 49 · see citing works
Kwasny, M., Schueller, S. M., Lattie, E. G., Gray, E., & Mohr, D. C. (2018) · JMIR Mental Health · doi:10.2196/11572 · Cited by 37 · see citing works
Self-citationGraham, A. K., Greene, C. J., Powell, T., Lieponis, P., Lunsford, A., Peralta, C. D., Orr, L. C., Kaiser, S. M., Alam, N., Berhane, H., et al. (2020) · Translational Behavioral Medicine · doi:10.1093/tbm/ibz140 · Cited by 36 · see citing works
Self-citationDigital Therapeutics for Obesity and Eating-Related Problems
Kim, M., & Choi, H. J. (2021) · Endocrinology and Metabolism · doi:10.3803/enm.2021.107 · Cited by 32 · see citing works
Klein, A., Clucas, J. C., Krishnakumar, A., Ghosh, S., Auken, W. V., Thonet, B., Sabram, I., Acuna, N., Keshavan, A., Rossiter, H., et al. (2021) · Journal of Medical Internet Research · doi:10.2196/22369 · Cited by 36 · see citing works
Short, C. E., Finlay, A., Sanders, I., & Maher, C. A. (2018) · BMC Health Services Research · doi:10.1186/s12913-017-2818-7 · Cited by 33 · see citing works
Use of Mental Health Apps by Patients With Breast Cancer in the United States: Pilot Pre-Post Study
Chow, P. I., Showalter, S. L., Gerber, M. S., Kennedy, E. M., Brenin, D. R., Mohr, D. C., Lattie, E. G., Gupta, A., Ocker, G., & Cohn, W. F. (2020) · JMIR Cancer · doi:10.2196/16476 · Cited by 33 · see citing works
Self-citationDahne, J., Lejuez, C. W., Kustanowitz, J., Felton, J. W., Díaz, V. A., Player, M. S., & Carpenter, M. J. (2017) · The International Journal of Psychiatry in Medicine · doi:10.1177/0091217417720899 · Cited by 31 · see citing works
Lattie, E. G., Kaiser, S. M., Alam, N., Tomasino, K. N., Sargent, E., Rubanovich, C. K., Palac, H., & Mohr, D. C. (2018) · Journal of Medical Internet Research · doi:10.2196/11050 · Cited by 31 · see citing works
Self-citationExploring user learnability and learning performance in an app for depression: usability study
Stiles-Shields, C., Montague, E., Lattie, E. G., Schueller, S. M., Kwasny, M. J., & Mohr, D. C. (2017) · JMIR Human Factors · doi:10.2196/humanfactors.7951 · Cited by 29 · see citing works
Understanding Mental Health Apps for Youth: Focus Group Study With Latinx Youth
Agapie, E., Chang, K., Patrachari, S., Neary, M., & Schueller, S. M. (2022) · JMIR Formative Research · doi:10.2196/40726 · Cited by 27 · see citing works
Self-citationKnapp, A. A., Cohen, K. A., Nicholas, J., Mohr, D. C., Carlo, A. D., Skerl, J. J., & Lattie, E. G. (2021) · JMIR Mental Health · doi:10.2196/27379 · Cited by 29 · see citing works
Self-citationAdded Value from Secondary Use of Person Generated Health Data in Consumer Health Informatics
Hsueh, P.-Y. S., Cheung, Y. K., Dey, S., Kim, K. K., Martin-Sanchez, F. J., Petersen, S. K., & Wetter, T. C. (2017) · Yearbook of Medical Informatics · doi:10.15265/iy-2017-009 · Cited by 23 · see citing works
Design for mobile mental health: Exploring the informed participation approach
Aryana, B., & Brewster, L. (2019) · Health Informatics Journal · doi:10.1177/1460458219873540 · Cited by 22 · see citing works
"I Just Can't Help But Smile Sometimes": Collaborative Self-Management of Depression
Burgess, E. R., Reddy, M. C., & Mohr, D. C. (2022) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3512917 · Cited by 20 · see citing works
Self-citationLivingston, N. A., Shingleton, R. M., Heilman, M. E., & Brief, D. J. (2019) · Journal of Technology in Behavioral Science · doi:10.1007/s41347-019-00099-6 · Cited by 20 · see citing works
Campeau-Vallerand, C., Michaud, F., Routhier, F., Archambault, P. S., Létourneau, D., Gélinas-Bronsard, D., & Auger, C. (2019) · JMIR Rehabilitation and Assistive Technologies · doi:10.2196/13560 · Cited by 21 · see citing works
Baumel, A., Brandes, O., Brendryen, H., Muench, F. J., Kane, J. M., & Saar, C. R. (2023) · Internet Interventions · doi:10.1016/j.invent.2023.100680 · Cited by 17 · see citing works
Wilhelm, S., Bernstein, E. E., Bentley, K. H., Snorrason, Í., Hoeppner, S. S., Klare, D. L., Greenberg, J. L., Weingarden, H. M., McCoy, T. H., & Harrison, O. (2024) · JMIR Mental Health · doi:10.2196/53998 · Cited by 17 · see citing works
Chow, P. I., Showalter, S. L., Gerber, M. S., Kennedy, E. M., Brenin, D. R., Schroen, A. T., Mohr, D. C., Lattie, E. G., & Cohn, W. F. (2018) · JMIR Research Protocols · doi:10.2196/11452 · Cited by 16 · see citing works
Self-citationAlexandrovsky, D., Friehs, M. A., Grittner, J., Putze, S., Birk, M. V., Malaka, R., & Mandryk, R. L. (2021) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3411764.3445689 · Cited by 17 · see citing works
Rothman, B., Slomkowski, M., Speier, A., Rush, A. J., Trivedi, M. H., Lakhan, S. E., Lawson, E., Fahmy, M., Carpenter, D., Chen, D., et al. (2025) · Journal of Affective Disorders · doi:10.1016/j.jad.2025.119409 · Cited by 15 · see citing works
Guided internet CBT versus “gold standard” depression treatments: An individual patient analysis
Forand, N. R., Feinberg, J. I., Barnett, J. G., & Strunk, D. R. (2018) · Journal of Clinical Psychology · doi:10.1002/jclp.22733 · Cited by 15 · see citing works
Cooper, D. D. J., Champion, S. M., Stavropoulos, L., & Grisham, J. R. (2021) · British Journal of Clinical Psychology · doi:10.1111/bjc.12279 · Cited by 15 · see citing works
Werntz, A. J., Jasman, M., Simeon, K. M., Gunasekaran, H., Yowell, C. M., & Rhodes, J. E. (2023) · Journal of Technology in Behavioral Science · doi:10.1007/s41347-023-00303-8 · Cited by 14 · see citing works
Oser, M. L., Wallace, M. L., Solano, F. X., & Szigethy, E. (2018) · JMIR Mental Health · doi:10.2196/11981 · Cited by 14 · see citing works
FAMAP: A Framework for Developing m-Health Apps
García‐Magariño, I., Bedía, M. G., & Palacios-Navarro, G. (2018) · Advances in intelligent systems and computing · doi:10.1007/978-3-319-77703-0_83 · Cited by 13 · see citing works
Weingarden, H. M., Matic, A., Garriga, R., Greenberg, J. L., Harrison, O., & Wilhelm, S. (2020) · JMIR mhealth and uhealth · doi:10.2196/16350 · Cited by 13 · see citing works
Fleming, T. M., Bavin, L. M., Lucassen, M., Stasiak, K., Hopkins, S., & Merry, S. (2020) · doi:10.26686/wgtn.12331259 · Cited by 12 · see citing works
Gallagher, R. D., & Zhang, L. (2021) · European Journal of Cardiovascular Nursing · doi:10.1093/eurjcn/zvab053 · Cited by 11 · see citing works
What's In Your Kit? Mental Health Technology Kits for Depression Self-Management
Burgess, E. R., Munson, S. A., Mohr, D. C., & Reddy, M. C. (2025) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3713585 · Cited by 10 · see citing works
Self-citationSu, L., & Anderson, P. L. (2022) · JMIR Formative Research · doi:10.2196/35538 · Cited by 10 · see citing works
Schueller, S. M., Neary, M., O'Loughlin, K. M., & Adkins, E. C. (2018) · doi:10.2196/preprints.10141.a · Cited by 10 · see citing works
Self-citationHow Can Geography and Mobile Phones Contribute to Psychotherapy?
Sexto, C. F., Vázquez, Y. G., Aguilera, A., & Rocha, Á. (2017) · Journal of Medical Systems · doi:10.1007/s10916-017-0742-3 · Cited by 9 · see citing works
Rethinking technology innovation for mental health: framework for multi-sectoral collaboration
Suh, J., Pendse, S. R., Lewis, R., Howe, E., Saha, K., Okoli, E., Amores, J., Ramos, G., Shen, J., Borghouts, J., et al. (2024) · Nature Mental Health · doi:10.1038/s44220-024-00232-2 · Cited by 8 · see citing works
Wanniarachchi, V. U., Greenhalgh, C., & Warren, J. (2025) · Internet Interventions · doi:10.1016/j.invent.2025.100884 · Cited by 10 · see citing works
Borghouts, J. W., Eikey, E. V., Leon, C. D., Schueller, S. M., Schneider, M. L., Stadnick, N. A., Zheng, K., Mukamel, D. B., & Sorkin, D. H. (2025) · JMIR Formative Research · doi:10.2196/73457 · Cited by 8 · see citing works
Self-citationKlein, C. S., Hollmann, K., Kühnhausen, J., Alt, A. K., Pascher, A., Seizer, L., Primbs, J., Ilg, W., Thierfelder, A., Severitt, B., et al. (2024) · Frontiers in Digital Health · doi:10.3389/fdgth.2024.1384540 · Cited by 6 · see citing works
McCall, M. P., Anton, M. T., Highlander, A., Loiselle, R., Forehand, R., Khavjou, O., & Jones, D. J. (2023) · Behavior Modification · doi:10.1177/01454455231165937 · Cited by 4 · see citing works
Yeon, P., Kim, I.-O., Kang, S.-N., Lee, N.-E., Kim, G.-Y., Shim, H.-R., Chung, C.-Y., Lee, J.-S., Jeon, J. Y., & Shin, W.-S. (2023) · Healthcare · doi:10.3390/healthcare11233039 · Cited by 6 · see citing works
Tan, Y., Lattie, E. G., Xiang, H., Tang, H., Teng, Z., Qiu, Y., Chen, J., & Wu, H. (2024) · Digital Health · doi:10.1177/20552076241262301 · Cited by 4 · see citing works
Self-citationChow, P. I. (2020) · JMIR mhealth and uhealth · doi:10.2196/15561 · Cited by 5 · see citing works
Universitas Amikom Yogyakarta, I., & Setyanto, A. (2019) · International Journal of Advanced Trends in Computer Science and Engineering · doi:10.30534/ijatcse/2019/109862019 · Cited by 4 · see citing works
Stiles‐Shields, C., Anderson, L., Driscoll, C., Ohanian, D. M., Starnes, M., Stern, A., Yunez, J., & Holmbeck, G. N. (2020) · Journal of Pediatric Rehabilitation Medicine · doi:10.3233/prm-190652 · Cited by 4 · see citing works
Self-citationHow to maintain mental health in turbulent times: Can mobile applications be a part of the solution?
Mustač, F., Poturica, M., Alfirević, M., Bjedov, S., Bestulić, S., Matovinović, M., & Marčinko, D. (2021) · International Conference on Smart and Sustainable Technologies (SpliTech) · doi:10.23919/splitech52315.2021.9566350 · Cited by 5 · see citing works
Willemsen, R. F., Chavannes, N. H., & Aardoom, J. J. (2024) · JMIR Formative Research · doi:10.2196/51408 · Cited by 3 · see citing works
Bernstein, E. E., Daniel, K. E., Miyares, P. E., Hoeppner, S. S., Bentley, K. H., Snorrason, Í., Fisher, L. B., Greenberg, J. L., Weingarden, H. M., Harrison, O., et al. (2025) · JMIR Mental Health · doi:10.2196/63497 · Cited by 3 · see citing works
Building Health Application Recommender System Using Partially Penalized Regression
Oh, E. J., Qian, M., Cheung, K., & Mohr, D. C. (2020) · Emerging topics in statistics and biostatistics · doi:10.1007/978-3-030-33416-1_6 · Cited by 3 · see citing works
Self-citationMunir, S., Perry, G., Lambert, J., & Loades, M. E. (2026) · Clinical Child Psychology and Psychiatry · doi:10.1177/13591045261433857 · Cited by 2 · see citing works
Huang, T., Li, S., Wang, Y., & Liu, W. (2026) · Journal of Medical Internet Research · doi:10.2196/88697 · Cited by 2 · see citing works
Real Time Health Monitoring For Palliative Patients through MSE-WBAN Architecture
Minimol, V. K. (2020) · Journal of Clinical Medical Research · doi:10.46889/jcmr.2020.1304 · Cited by 2 · see citing works
Design for Self-Experimentation
Kuo, P.-Y. P. (2018) · ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp) · doi:10.1145/3267305.3274128 · Cited by 2 · see citing works
Willemsen, R. F., Meijer, E., van den Berg, L. N., van der Burg, L., Chavannes, N. H., & Aardoom, J. J. (2023) · JMIR Formative Research · doi:10.2196/49473 · Cited by 2 · see citing works
Fleming, T. M., Bavin, L. M., Lucassen, M., Stasiak, K., Hopkins, S., & Merry, S. (2020) · doi:10.26686/wgtn.12331259.v4 · Cited by 2 · see citing works
Intentional Strategies for Changing Character Traits
Ratchford, J. L., Schueller, S. M., & Jayawickreme, E. (2026) · Cambridge University Press eBooks · doi:10.1017/9781009707060 · Cited by 1 · see citing works
Self-citationRemote Digital Psychiatry: MindLogger for Mobile Mental Health Assessment and TherapyPreprint
Klein, A., Clucas, J. C., Krishnakumar, A., Ghosh, S., Auken, W. V., Thonet, B., Sabram, I., Acuna, N., Keshavan, A., Rossiter, H., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.11.16.385880 · Cited by 1 · see citing works
Theilig, M.-M., Knapp, A. A., Nicholas, J., Zarnekow, R., & Mohr, D. C. (2020) · Research Square · doi:10.21203/rs.3.rs-68076/v1 · Cited by 1 · see citing works
Self-citationTheilig, M.-M., Knapp, A. A., Nicholas, J., Zarnekow, R., & Mohr, D. C. (2020) · Research Square · doi:10.21203/rs.3.rs-68076/v2 · Cited by 1 · see citing works
Self-citationWerntz, A. J., Amado, S., Jasman, M., Ervin, A., & Rhodes, J. E. (2022) · doi:10.2196/preprints.42864 · Cited by 1 · see citing works
Lau, N., Kola, L., Zhao, X., Asafo, S. M., Attah, D. A., & Ben‐Zeev, D. (2025) · Wiley eBooks · doi:10.1002/9781394179909.ch14 · Cited by 1 · see citing works
Sexto, C. F. (2018) · Boletín de la Asociación de Geógrafos Españoles · doi:10.21138/bage.2538
Increasing Psychiatric Treatment Engagement and Adherence in the College Population
Bardin, A., Cheney, B., & Braider, L. (2019) · Springer eBooks · doi:10.1007/978-3-030-12665-0_5 · Cited by 1 · see citing works
Los datos georreferenciados con teléfonos móviles para las terapias psicosociales
Sexto, C. F., & García, Y. (2019) · MEDICA REVIEW International Medical Humanities Review / Revista Internacional de Humanidades Médicas · doi:10.37467/gka-revmedica.v7.2053
Online programs for depression
Batterham, P. J., Calear, A. L., & Kurz, E. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-817933-8.00012-8
Castelnuovo, G., & Manzoni, G. M. (2021) · Comprehensive Clinical Psychology · doi:10.1016/b978-0-12-818697-8.00004-2
- Authors
- Lattie, E. G., Schueller, S. M., Sargent, E., Stiles-Shields, C., Tomasino, K. N., Corden, M. E., Begale, M., Karr, C. J., & Mohr, D. C.
- Affiliations
- Northwestern University (US)
- Corresponding author
- Mohr, David C.
- ORCID
- Venue
- Internet Interventions
- Publisher
- Elsevier BV
- Published
- 2016-05
- Volume
- 4
- Issue
- 2
- Pages
- 152-158
- ISSN
- 2214-7829 (ISSN-L)
- PMC
- PMC4936531
- OpenAlex
- W2437255077
- Semantic Scholar
- a874434205dff87477c28e6ae4c01ac838867ef6
- Cited by
- 113
- References
- 33
- Citations by year
- 2026: 5 · 2025: 9 · 2024: 5 · 2023: 10 · 2022: 8 · 2021: 18 · 2020: 16 · 2019: 14 · 2018: 17 · 2017: 11
- FWCI
- 21.57
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Internet Interventions (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- eScholarship (California Digital Library) (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion, cc-by-nc-nd)
- Funders
- National Institute of Mental Health (K08 MH102336, F31 MH106321)
- Topics
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
- Keywords
- mental health apps, depression, anxiety, app uptake, app usage patterns, mobile application, behavioral strategies, app downloads, Google Play Store
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-10.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-10.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review