Dataset Information

An Internet-based program for depression using activity and physiological sensors: efficacy, expectations, satisfaction, and ease of use.

ABSTRACT:

Purpose

Computerized cognitive behavioral therapy (CCBT) has been shown to be efficacious. Moreover, CCBT can be enhanced by using physiological and activity sensors, but there is no evidence about the acceptability of all these tools. The objective of this study is to examine the efficacy, expectations, satisfaction, and ease of use of an Internet-based CCBT program for preventing depression, with and without sensors (electroencephalography, electrocardiograhpy ECG, and actigraphy), in a high-risk population (unemployed men).

Patients and methods

Sixty participants at risk of depression (unemployed men) were randomly assigned to three experimental conditions: 1) intervention program (N=22), 2) intervention program plus sensors (N=19), and 3) control group (N=19). Participants completed depression, anxiety, positive and negative affect, and perceived stress measures. Furthermore, they also completed the measures for expectation, satisfaction, and the ease of use of the program.

Results

Results showed that the two intervention groups improved significantly more than the control group on the clinical variables, and the improvements were greater in the group that used sensors than in the group that did not use them. Furthermore, participants in both intervention groups scored high on expectations and satisfaction with the CCBT program (with and without sensors). The mean score for usability was 88 out of 100 (standard deviation =12.32). No significant differences were found between groups on any of these variables.

Conclusion

This is the first study to analyze the efficacy, expectations, satisfaction, and ease of use of an Internet-based program using physiological and activity sensors. These results suggest that an Internet program for depression with or without physiological and activity sensors is effective, satisfactory, and easy to use.

SUBMITTER: Botella C

PROVIDER: S-EPMC4770071 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature

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Publications

An Internet-based program for depression using activity and physiological sensors: efficacy, expectations, satisfaction, and ease of use.

Botella Cristina C Mira Adriana A Moragrega Inés I García-Palacios Azucena A Bretón-López Juana J Castilla Diana D Riera López Del Amo Antonio A Soler Carla C Molinari Guadalupe G Quero Soledad S Guillén-Botella Verónica V Miralles Ignacio I Nebot Sara S Serrano Berenice B Majoe Dennis D Alcañiz Mariano M Baños Rosa María RM

Neuropsychiatric disease and treatment 20160223

<h4>Purpose</h4>Computerized cognitive behavioral therapy (CCBT) has been shown to be efficacious. Moreover, CCBT can be enhanced by using physiological and activity sensors, but there is no evidence about the acceptability of all these tools. The objective of this study is to examine the efficacy, expectations, satisfaction, and ease of use of an Internet-based CCBT program for preventing depression, with and without sensors (electroencephalography, electrocardiograhpy ECG, and actigraphy), in ...[more]

PMID: 27042067

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Project description:BackgroundIn the childbearing period women use the internet both to seek information and as an important source of communication. For women with type 1 diabetes, pregnancy and early motherhood constitute a more complex situation than for women in general. This implies need for support from various professionals and a way of bridging any discontinuity in care would be to develop a website providing complementary social support and information. The objective of this study was to explore internet use, needs, and expectations regarding web-based information and communication in childbearing women with type 1 diabetes.MethodsData were collected via a web-based survey with an explorative and descriptive design, in which 105 of 139 eligible mothers with type 1 diabetes and recent childbearing experience participated. The data were analyzed with descriptive and analytical statistics, and open answers with a directed content analysis.ResultsOf the 105 women, 22% never used the internet to search for information concerning pregnancy, childbirth, and parenthood. 12% searched for information every day, 29% one or more times a week, and 38% one or more times a month. Of the women 44% declared themselves to be passive participants on social websites, and 45% to be active participants. 45% had specific expectations of web-based support directed towards childbearing, especially those with higher educational level (P = .01). Expectations of instrumental and informational support included an expert-controlled website with reliable, updated, and information focused on childbearing and diabetes, improved access to diabetes care professionals and alternative ways to communicate and to receive childbearing-related support. The women also asked for online technical devices to manage the frequent monitoring of blood glucose during pregnancy. Informal, emotional, and appraisal support from women in similar situations was suggested as a way to provide an arena for belonging instead of creating feelings of alienation.ConclusionsOur results add important knowledge about the web-based needs of women with type 1 diabetes in relation to childbearing. This user directed study indicates specific areas of development for the provision of effective web-based support that includes facilities for reliable information, interactive support and social networking in this population.

Project description:BackgroundSelf-help eHealth interventions provide automated support to change health behaviors without any further human assistance. The main advantage of self-help eHealth interventions is that they have the potential to lower the workload of health care professionals. However, one disadvantage is that they generally have a lower uptake. Possibly, the absence of a relationship with a health care professional (referred to as the working alliance) could lead to negative expectations that hinder the uptake of self-help interventions. The Unified Theory of Acceptance and Use of Technology (UTAUT) identifies which expectations predict use intention. As there has been no previous research exploring how expectations affect the adoption of both self-help and human-supported eHealth interventions, this study is the first to investigate the impact of expectations on the uptake of both kinds of eHealth interventions.ObjectiveThis study investigated the intention to use a self-help eHealth intervention compared to a human-supported eHealth intervention and the expectations that moderate this relationship.MethodsA total of 146 participants were randomly assigned to 1 of 2 conditions (human-supported or self-help eHealth interventions). Participants evaluated screenshots of a human-supported or self-help app-based stress intervention. We measured intention to use the intervention-expected working alliance and the UTAUT constructs: performance expectancy, effort expectancy, and social influence.ResultsUse intention did not differ significantly between the 2 conditions (t142=-1.133; P=.26). Performance expectancy (F1,140=69.269; P<.001), effort expectancy (F1,140=3.961; P=.049), social influence (F1,140=90.025; P<.001), and expected working alliance (F1,140=26.435; P<.001) were positively related to use intention regardless of condition. The interaction analysis showed that performance expectancy (F1,140=4.363; P=.04) and effort expectancy (F1,140=4.102; P=.045) more strongly influenced use intention in the self-help condition compared to the human-supported condition.ConclusionsAs we found no difference in use intention, our results suggest that we could expect an equal uptake of self-help eHealth interventions and human-supported ones. However, attention should be paid to people who have doubts about the intervention's helpfulness or ease of use. For those people, providing additional human support would be beneficial to ensure uptake. Screening user expectations could help health care professionals optimize self-help eHealth intervention uptake in practice.Trial registrationOSF Registries osf.io/n47cz; https://osf.io/n47cz.

Dataset Information

An Internet-based program for depression using activity and physiological sensors: efficacy, expectations, satisfaction, and ease of use.

Purpose

Patients and methods

Results

Conclusion

Publications

An Internet-based program for depression using activity and physiological sensors: efficacy, expectations, satisfaction, and ease of use.

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