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      The Effectiveness of Web-Based vs. Non-Web-Based Interventions: A Meta-Analysis of Behavioral Change Outcomes

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          Abstract

          Background

          A primary focus of self-care interventions for chronic illness is the encouragement of an individual's behavior change necessitating knowledge sharing, education, and understanding of the condition. The use of the Internet to deliver Web-based interventions to patients is increasing rapidly. In a 7-year period (1996 to 2003), there was a 12-fold increase in MEDLINE citations for “Web-based therapies.” The use and effectiveness of Web-based interventions to encourage an individual's change in behavior compared to non-Web-based interventions have not been substantially reviewed.

          Objective

          This meta-analysis was undertaken to provide further information on patient/client knowledge and behavioral change outcomes after Web-based interventions as compared to outcomes seen after implementation of non-Web-based interventions.

          Methods

          The MEDLINE, CINAHL, Cochrane Library, EMBASE, ERIC, and PSYCHInfo databases were searched for relevant citations between the years 1996 and 2003. Identified articles were retrieved, reviewed, and assessed according to established criteria for quality and inclusion/exclusion in the study. Twenty-two articles were deemed appropriate for the study and selected for analysis. Effect sizes were calculated to ascertain a standardized difference between the intervention (Web-based) and control (non-Web-based) groups by applying the appropriate meta-analytic technique. Homogeneity analysis, forest plot review, and sensitivity analyses were performed to ascertain the comparability of the studies.

          Results

          Aggregation of participant data revealed a total of 11,754 participants (5,841 women and 5,729 men). The average age of participants was 41.5 years. In those studies reporting attrition rates, the average drop out rate was 21% for both the intervention and control groups. For the five Web-based studies that reported usage statistics, time spent/session/person ranged from 4.5 to 45 minutes. Session logons/person/week ranged from 2.6 logons/person over 32 weeks to 1008 logons/person over 36 weeks. The intervention designs included one-time Web-participant health outcome studies compared to non-Web participant health outcomes, self-paced interventions, and longitudinal, repeated measure intervention studies. Longitudinal studies ranged from 3 weeks to 78 weeks in duration. The effect sizes for the studied outcomes ranged from -.01 to .75. Broad variability in the focus of the studied outcomes precluded the calculation of an overall effect size for the compared outcome variables in the Web-based compared to the non-Web-based interventions. Homogeneity statistic estimation also revealed widely differing study parameters (Q w16 = 49.993, P ≤ .001). There was no significant difference between study length and effect size. Sixteen of the 17 studied effect outcomes revealed improved knowledge and/or improved behavioral outcomes for participants using the Web-based interventions. Five studies provided group information to compare the validity of Web-based vs. non-Web-based instruments using one-time cross-sectional studies. These studies revealed effect sizes ranging from -.25 to +.29. Homogeneity statistic estimation again revealed widely differing study parameters (Q w4 = 18.238, P ≤ .001).

          Conclusions

          The effect size comparisons in the use of Web-based interventions compared to non-Web-based interventions showed an improvement in outcomes for individuals using Web-based interventions to achieve the specified knowledge and/or behavior change for the studied outcome variables. These outcomes included increased exercise time, increased knowledge of nutritional status, increased knowledge of asthma treatment, increased participation in healthcare, slower health decline, improved body shape perception, and 18-month weight loss maintenance.

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          Most cited references50

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          Interapy: a controlled randomized trial of the standardized treatment of posttraumatic stress through the internet.

          Online therapy offers many advantages over face-to-face therapy. Interapy includes psychoeducation, screening, effect measures, and a protocol-driven treatment via the Internet for people suffering from posttraumatic stress. The present article reports the results of a controlled trial on the Internet-driven treatment of posttraumatic stress and grief in a group of people who manifested mild to relatively severe trauma symptoms. Participants in the treatment condition (n=69) improved significantly more than participants in the waiting-list control condition (n=32) on trauma-related symptoms and general psychopathology. The effect sizes were large. On most subscales, more than 50% of the treated participants showed reliable change and clinically significant improvement, with the highest percentages being found for depression and avoidance.
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            The diabetes network internet-based physical activity intervention: a randomized pilot study.

            Because of other competing priorities, physical activity (PA) is seldom addressed in a consistent way in either primary care or diabetes education. This 8-week pilot study evaluated the short-term benefits of an Internet-based supplement to usual care that focused on providing support for sedentary patients with type 2 diabetes to increase their PA levels. A total of 78 type 2 diabetic patients (53% female, average age 52.3 years) were randomized to the Diabetes Network (D-Net) Active Lives PA Intervention or an Internet information-only condition. The intervention condition received goal-setting and personalized feedback, identified and developed strategies to overcome barriers, received and could post messages to an on-line "personal coach," and were invited to participate in peer group support areas. Key outcomes included minutes of PA per week and depressive symptomatology. There was an overall moderate improvement in PA levels within both intervention and control conditions, but there was no significant improvement in regard to condition effects. There was substantial variability in both site use and outcomes within the intervention and control conditions. Internal analyses revealed that among intervention participants, those who used the site more regularly derived significantly greater benefits, whereas those in the control condition derived no similar benefits with increased program use. Internet-based self-management interventions for PA and other regimen areas have great potential to enhance the care of diabetes and other chronic conditions. We conclude that greater attention should be focused on methods to sustain involvement with Internet-based intervention health promotion programs over time.
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              The D-Net diabetes self-management program: long-term implementation, outcomes, and generalization results.

              A prerequisite to translating research findings into practice is information on consistency of implementation, maintenance of results, and generalization of effects. This follow-up report is one of the few experimental studies to provide such information on Internet-based health education. We present follow-up data 10 months following randomization on the "Diabetes Network (D-Net)" Internet-based self-management project, a randomized trial evaluating the incremental effects of adding (1) tailored self-management training or (2) peer support components to a basic Internet-based, information-focused comparison intervention. Participants were 320 adult type 2 diabetes patients from participating primary care offices, mean age 59 (SD = 9.2), who were relatively novice Internet users. All intervention components were consistently implemented by staff, but participant website usage decreased over time. All conditions were significantly improved from baseline on behavioral, psychosocial, and some biological outcomes; and there were few differences between conditions. Results were robust across on-line coaches, patient characteristics, and participating clinics. The basic D-Net intervention was implemented well and improvements were observed across a variety of patients, interventionists, and clinics. There were, however, difficulties in maintaining usage over time and additions of tailored self-management and peer support components generally did not significantly improve results.
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                Author and article information

                Contributors
                Journal
                J Med Internet Res
                JMIR
                Journal of Medical Internet Research
                Gunther Eysenbach (Centre for Global eHealth Innovation, Toronto, Canada )
                1438-8871
                Oct-Dec 2004
                10 November 2004
                : 6
                : 4
                : e40
                Affiliations
                [3] 3simpleUCSF Comprehensive Cancer Center simpleSchool of Medicine simpleUniversity of California San Francisco CAUSA
                [2] 2simpleSchool of Nursing simpleUniversity of California San Francisco CAUSA
                [1] 1simpleDepartment of Community Health Systems simpleSchool of Nursing simpleUniversity of California San Francisco CAUSA
                Article
                v6i4e40
                10.2196/jmir.6.4.e40
                1550624
                15631964
                84df90b1-7dc8-4580-9592-6e7bafd03e12
                © Dean J Wantland, Carmen J Portillo, William L Holzemer, Rob Slaughter, Eva M McGhee. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 10.11.2004. Except where otherwise noted, articles published in the Journal of Medical Internet Research are distributed under the terms of the Creative Commons Attribution License (http://www.creativecommons.org/licenses/by/2.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited, including full bibliographic details and the URL (see "please cite as" above), and this statement is included.
                History
                : 11 March 2004
                : 20 April 2004
                : 20 August 2004
                : 30 August 2004
                Categories
                Review

                Medicine
                web-based intervention,non-web-based intervention,web-based therapy, internet,meta-analysis,patient outcomes,adults

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