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Healthc Inform Res > Volume 14(3); 2008 > Article
Journal of Korean Society of Medical Informatics 2008;14(3):231-238.
DOI: https://doi.org/10.4258/jksmi.2008.14.3.231    Published online September 30, 2008.
Effectiveness of a Web-based Intervention for Depressive Symptoms Management
Jeong Yee Bae, Rosel L Panuncio
Department of Nursing, Inje University, Korea.
Abstract

OBJECTIVE: The purpose of this study was to evaluate the effectiveness of a web-based intervention program for depressive symptoms management among Korean adults.

METHODS: After the first author developed a user-centered design website intended to manage the depressive symptoms of the general public, two hundred and seventy two participants were screened and randomly assigned into experimental and control groups. These subjects underwent a 12-week nonequivalent pretest and post.test evaluation program to determine changes in their depression scores, which were measured using the Korean Depression Scale. Subjects' unique IP addresses were used for monitoring their access periods on the website.

RESULTS: There were no significant differences in the baseline and outcome characteristics of both experimental and control groups. Moreover, findings revealed that the total depression score of the experimental group (who accessed the developed web-site three times a week with at least an hour per session) showed to have decreased immensely with a mean of 5.57. On the contrary, only a 0.09 point difference resulted between the pre and post tests of the control group (who accessed other depression management websites generally available).

CONCLUSIONS: Web-based interventions could be an effective and inexpensive means of managing depressive symptoms of Koreans. Findings from this effectiveness study of an internet-based program could also be used by a variety of audiences including government agencies, educators, and health care professionals concerned with mental health promotion and prevention.

Key Words: Information System, Internet, Depression, Management Information system, Mental health


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