Cross-sectional survey evaluating Text4Mood: mobile health program to reduce psychological treatment gap in mental healthcare in Alberta through daily supportive text messages

Agyapong, Vincent Israel Opoku; Mrklas, Kelly; Juhás, Michal; Omeje, Joy; Öhinmaa, Arto; Dursun, Serdar; Greenshaw, Andrew J.

doi:10.1186/s12888-016-1104-2

Cited by 108 publications

(189 citation statements)

References 23 publications

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“…The trend for mean scores across the stress, depression, and anxiety scales to decrease in severity from younger to older age has potential implications for planning to meet mental health service needs during COVID-19. Innovative and cost-effective interventions such as supportive text messaging which are independent of geographic location, are free to the end user, do not require expensive data plans, and can reach thousands of people simultaneously [ 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 ] could be useful particularly to a younger age population who seem to be most impacted psychologically during the COVID-19 pandemic.…”

Section: Discussionmentioning

confidence: 99%

COVID-19 Pandemic: Age-Related Differences in Measures of Stress, Anxiety and Depression in Canada

Nwachukwu

Nkire

Shalaby

et al. 2020

IJERPH

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271

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Background: The spread of COVID-19 along with strict public health measures have resulted in unintended adverse effects, including greater levels of distress, anxiety, and depression. This study examined relative presentations of these psychopathologies in different age groups in a Canadian cohort during the COVID-19 pandemic. Methodology: Participants were subscribers to the Text4Hope program, developed to support Albertans during the COVID-19 pandemic. A survey link was used to gather demographic information and responses on several self-report scales, such as Perceived Stress Scale (PSS), Generalized Anxiety Disorder 7-item (GAD-7) scale, and Patient Health Questionnaire-9 (PHQ-9). Results: There were 8267 individuals who completed the survey, giving a response rate of 19.4%. Overall, 909 (11.0%) respondents identified as ≤25 years, 2939 (35.6%) identified as (26–40) years, 3431 (41.5%) identified as (41–60) years, 762 (9.2%) identified as over 60 years, and 226 (2.7%) did not identify their age. Mean scores on the PSS, GAD-7, and PHQ-9 scales were highest among those aged ≤25 and lowest amongst those aged >60 years old. Conclusions: The finding that the prevalence rates and the mean scores for stress, anxiety, and depression on standardized scales to decrease from younger to older subscribers is an interesting observation with potential implications for planning to meet mental health service needs during COVID-19.

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Section: Discussionmentioning

confidence: 99%

COVID-19 Pandemic: Age-Related Differences in Measures of Stress, Anxiety and Depression in Canada

Nwachukwu

Nkire

Shalaby

et al. 2020

IJERPH

Self Cite

271

184

View full text Add to dashboard Cite

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“…Technology-enhanced treatments, including text messages, for substance use disorders benefit from feedback about quit progress (Free et al, 2011) or factors that might predict lapses in abstinence (Chih et al, 2014). In addition, as an adjunct to psychological treatments, text messaging has been shown to increase individual’s ability to manage disorders associated with mood regulation (Agyapong et al, 2016). The findings of the present study suggest that future research in this area might also benefit from examining whether feedback about mood-related triggers or feedback about larger than typical variability in mood could be useful intervention targets.…”

Section: Discussionmentioning

confidence: 99%

Nicotine dependence, internalizing symptoms, mood variability and daily tobacco use among young adult smokers

Bares

Dick

Kendler

2018

Addictive Behaviors

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Introduction Cigarette use among young adults continues to rise. As young adults transition to college and assume other adult roles and responsibilities, they are at risk for the development of mental health problems and for the progression of substance use problems. Previous studies suggest that individual differences in negative and positive mood contribute to cigarette use in established college-aged smokers, but less is known whether fluctuations in mood influence daily cigarette use, controlling for trait levels of internalizing symptoms and nicotine dependence. Methods Data for this study came from a sample of college students (N=39, 59% female, mean age 20.4 years) who reported regular cigarette use and participated in a 21-day ecological momentary assessment (EMA) study assessing within-individual variation in cigarette use and mood. Results A three-level hierarchical linear model accounting for the structure of 1,896 occasions of cigarette use nested within days and individuals indicated that within-individual variability in positive mood was associated with cigarette use at each occasion, after taking into account baseline levels of nicotine dependence and internalizing problems. Conclusions Daily shifts in positive moods are importantly associated with consuming cigarettes throughout the day.

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“…Several studies explored the effects of innovative tailored behavioral change methods for smoking cessation and demonstrated that they can contribute to a higher success rates [ 28 – 30 ]. Other studies showed that the delivery of tailored motivational messages using mobile phones as a platform could be an effective way to enable smoking cessation [ 31 – 35 ] as well as to impact other aspects of health, such as promoting physical activity and exercise [ 36 , 37 ], mental healthcare [ 38 ], and alcohol-related harm [ 39 ], among others. These tailored messages are usually pieces of text based on the user’s responses to certain questions, assessing their attitude, social support, self-efficacy, and type of action planning.…”

Section: Introductionmentioning

confidence: 99%

Tailoring motivational health messages for smoking cessation using an mHealth recommender system integrated with an electronic health record: a study protocol

et al. 2018

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BackgroundSmoking is one of the most avoidable health risk factors, and yet the quitting success rates are low. The usage of tailored health messages to support quitting has been proved to increase quitting success rates. Technology can provide convenient means to deliver tailored health messages. Health recommender systems are information-filtering algorithms that can choose the most relevant health-related items—for instance, motivational messages aimed at smoking cessation—for each user based on his or her profile. The goals of this study are to analyze the perceived quality of an mHealth recommender system aimed at smoking cessation, and to assess the level of engagement with the messages delivered to users via this medium.MethodsPatients participating in a smoking cessation program will be provided with a mobile app to receive tailored motivational health messages selected by a health recommender system, based on their profile retrieved from an electronic health record as the initial knowledge source. Patients’ feedback on the messages and their interactions with the app will be analyzed and evaluated following an observational prospective methodology to a) assess the perceived quality of the mobile-based health recommender system and the messages, using the precision and time-to-read metrics and an 18-item questionnaire delivered to all patients who complete the program, and b) measure patient engagement with the mobile-based health recommender system using aggregated data analytic metrics like session frequency and, to determine the individual-level engagement, the rate of read messages for each user. This paper details the implementation and evaluation protocol that will be followed.DiscussionThis study will explore whether a health recommender system algorithm integrated with an electronic health record can predict which tailored motivational health messages patients would prefer and consider to be of a good quality, encouraging them to engage with the system. The outcomes of this study will help future researchers design better tailored motivational message-sending recommender systems for smoking cessation to increase patient engagement, reduce attrition, and, as a result, increase the rates of smoking cessation.Trial registrationThe trial was registered at clinicaltrials.org under the ClinicalTrials.gov identifier NCT03206619 on July 2nd 2017. Retrospectively registered.

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Cross-sectional survey evaluating Text4Mood: mobile health program to reduce psychological treatment gap in mental healthcare in Alberta through daily supportive text messages

Cited by 108 publications

References 23 publications

COVID-19 Pandemic: Age-Related Differences in Measures of Stress, Anxiety and Depression in Canada

COVID-19 Pandemic: Age-Related Differences in Measures of Stress, Anxiety and Depression in Canada

Nicotine dependence, internalizing symptoms, mood variability and daily tobacco use among young adult smokers

Tailoring motivational health messages for smoking cessation using an mHealth recommender system integrated with an electronic health record: a study protocol

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