| Title |
An Internet-based program for depression using activity and physiological sensors: efficacy, expectations, satisfaction, and ease of use
|
|---|---|
| Published in |
Neuropsychiatric Disease and Treatment, February 2016
|
| DOI | 10.2147/ndt.s93315 |
| Pubmed ID | |
| Authors |
Cristina Botella, Adriana Mira, Inés Moragrega, Azucena García-Palacios, Juana Bretón-López, Diana Castilla, Antonio Riera López del Amo, Carla Soler, Guadalupe Molinari, Soledad Quero, Verónica Guillén-Botella, Ignacio Miralles, Sara Nebot, Berenice Serrano, Dennis Majoe, Mariano Alcañiz, Rosa María Baños |
| Abstract |
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). 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 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. 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. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 175 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 1% |
| Colombia | 1 | <1% |
| Germany | 1 | <1% |
| Unknown | 171 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 29 | 17% |
| Student > Master | 25 | 14% |
| Researcher | 19 | 11% |
| Student > Bachelor | 18 | 10% |
| Student > Doctoral Student | 17 | 10% |
| Other | 32 | 18% |
| Unknown | 35 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 71 | 41% |
| Medicine and Dentistry | 15 | 9% |
| Social Sciences | 10 | 6% |
| Computer Science | 8 | 5% |
| Nursing and Health Professions | 5 | 3% |
| Other | 20 | 11% |
| Unknown | 46 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 February 2016.
All research outputs
#16,721,208
of 25,371,288 outputs
Outputs from Neuropsychiatric Disease and Treatment
#1,719
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Outputs of similar age
#235,210
of 406,420 outputs
Outputs of similar age from Neuropsychiatric Disease and Treatment
#59
of 71 outputs
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