Maximizing New Technologies to Treat Depression

Decker, Veronica; Valenti, Michael; Montoya, Vicki; Sikorskii, Alla; Given, Charles W.; Given, Barbara

doi:10.1080/01612840.2018.1527422

Cited by 16 publications

(10 citation statements)

References 62 publications

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“…Yet this literature has been limited by heterogeneity, particularly in comparator groups as well as small sample sizes (Lawes‐Wickwar et al, 2018). Recommendations to increase knowledge for telehealth interventions include evaluating the use of mobile apps (Morland et al, 2017) and other cellular‐based technologies (Decker et al, 2019), and including an expanded range of outcomes, larger sample sizes and mixed‐methods approaches that include randomized control trials and assessments of participant acceptability (Lawes‐Wickwar et al, 2018). Telehealth could also be used to administer mindfulness‐based interventions (Myers et al, 2018) or those targeting loneliness (Zubatsky, Berg‐Weger, & Morley, 2020); while these types of telehealth interventions may be especially helpful during COVID‐19, more research is needed.…”

Section: Harnessing Technology For Positive Copingmentioning

confidence: 99%

“…Yet media communications also provide a critical input that individuals rely on to evaluate risks and receive information (Glik, 2007), particularly during times of crisis (Ball‐Rokeach & DeFleur, 1976; Jung, 2017; Li, Yang, Zhang, & Zhang, 2019; Ranjit, Lachlan, Basaran, Snyder, & Houston, 2020). Moreover, while technology clearly has applications that can enable key components of our social, educational and occupational lives to continue during the COVID‐19 outbreak, prior research suggests these benefits (Decker et al, 2019; Haidt & Allen, 2020; Torous, Myrick, Rauseo‐Ricupero, & Firth, 2020) must be cautiously weighed against the potential for harm (Haidt & Allen, 2020; Primack et al, 2017; Shensa et al, 2017). What are the drawbacks of this increased utilization of technology?…”

Section: Overviewmentioning

confidence: 99%

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Technology as a coping tool during the coronavirus disease 2019 (COVID‐19) pandemic: Implications and recommendations

2020

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Section: Harnessing Technology For Positive Copingmentioning

confidence: 99%

Section: Overviewmentioning

confidence: 99%

Technology as a coping tool during the coronavirus disease 2019 (COVID‐19) pandemic: Implications and recommendations

2020

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“…They range from Internet-based standalone interventions to newer forms of interventions that combine the strengths of face-to-face and Internet approaches, blended interventions. Great numbers of e-health interventions have been found effective in improving health-related outcomes over a great variety of target conditions and patient groups, both with regard to medical and mental health, in adults and adolescents (11)(12)(13)(14)(15)(16)(17)(18)(19)(20)(21)(22)(23)(24)(25). Several studies have identified facilitators and barriers in the implementation and sustainability of e-health interventions (26)(27)(28).…”

Section: Introductionmentioning

confidence: 99%

Review of Randomized Controlled Trials Using e-Health Interventions for Patients With Eating Disorders

2020

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Background: In a world of technological advancements, electronic devices and services seem to be a promising way to increase patients' engagement in treatment and to help manage their symptoms. Here, we identified and analyzed the current evidence of RCTs to evaluate the effectiveness and acceptability of e-health interventions in the eating disorder (ED) field. Methods: We screened an initial cluster of 581 papers. In the end, 12 RCTs in clinical ED cohorts were included. Results: Some studies were conceived as stand-alone interventions, while others were presented as add-ons to ED-specific treatments. Studies varied in the type of EDs under investigation and in the e-health intervention applied (with vs. without therapist support vs. blended interventions; smartphone-vs. web-based). Only four studies reported explicit acceptability measures. Out of those, two reported high acceptability, one reported low acceptability, and one reported no significant difference in acceptability between groups. Four studies reported higher effectiveness of the e-health intervention compared to the control condition, e.g., reduction in maladaptive eating behaviors. Regarding control groups, three used a wait list design and nine had another kind of intervention (e.g., faceto-face CBT, or treatment as usual) as control. Discussion: So far, the evidence for acceptability and effectiveness of e-health interventions in EDs is very limited. There is also a lack of studies in older patients, adolescents, men, sexual and ethnic minorities. Shame/stigma is discussed in the context of e-health interventions for EDs. It remains unclear how severity of EDs affects the effectiveness of e-health interventions, how patients can channel the knowledge they acquire from e-health interventions into their actual behaviors, and how such interventions can better fit the needs of the individual patient to increase acceptability and effectiveness.

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“…mHealth apps related to weight management [26] and mental health or depression treatment [27] have already been used widely in recent years. However, in this study, we focus on only two mHealth apps related to fitness and nutrition to see if they can affect postpartum obesity and depression.…”

Section: Introductionmentioning

confidence: 99%

mHealth Apps Assessment among Postpartum Women with Obesity and Depression

2020

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Background: Pregnancy has become the main constituent for women to become overweight or obese during the postpartum phase. This could lead women to suffer from postpartum depression as well. Information technology (IT) has become more prevalent in the healthcare industry. It offers patients the opportunity to manage their health conditions via the use of several applications, one being the mHealth applications. Objective: The main purpose of this study is to experiment and understand the effects the mHealth applications (i.e., fitness and nutrition applications) have on the body mass index (BMI) and depression levels amongst postpartum women. Methods: Online questionnaires were sent to postpartum women within one year after their pregnancy, of which 819 completed questionnaires were returned. The frequency of the mHealth applications usage was categorized into daily, weekly, rarely and never streams. Therefore, the frequency of use of the mHealth applications for BMI and depression levels was analyzed based on the available statistical data. Descriptive statistics, ANOVA, and Dunnet tests were applied to analyze the experimental data. Results: Out of 819 respondents, 37.9% and 42.1% of them were overweight and obese, respectively. Almost 32.9% of the respondents were likely depressed, and 45.6% were at an increased risk. This study reports that only 23.4% and 28.6% of respondents never used the fitness and nutrition applications. The impact of the frequency of using the fitness applications on BMI and depression levels was obvious. This means that with the increased use of the fitness applications, there was also a significant effect in maintaining and decreasing the BMI and depression levels amongst Malaysians postpartum women. However, from the data of weekly and daily use of fitness applications, we found that the contribution toward the BMI and depression levels was high (p = 0.000). However, nutrition applications amongst the users were not significant within the main variables (p > 0.05). From the Dunnet test, the significance of using the fitness applications within the depression levels started from daily usage, whereas for BMI, it started from weekly usage. Conclusion: The efficiency of the fitness applications toward the BMI and depression levels has been proven in this research work. While nutrition applications did not affect the BMI and depression levels, some of the respondents were still categorized as weekly and daily users. Thus, the improvements in BMI and depression levels are associated with the types of mHealth app that had been used.

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Maximizing New Technologies to Treat Depression

Cited by 16 publications

References 62 publications

Technology as a coping tool during the coronavirus disease 2019 (COVID‐19) pandemic: Implications and recommendations

Technology as a coping tool during the coronavirus disease 2019 (COVID‐19) pandemic: Implications and recommendations

Review of Randomized Controlled Trials Using e-Health Interventions for Patients With Eating Disorders

mHealth Apps Assessment among Postpartum Women with Obesity and Depression

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