Title |
A Behavior Change Model for Internet Interventions
|
---|---|
Published in |
Annals of Behavioral Medicine, October 2009
|
DOI | 10.1007/s12160-009-9133-4 |
Pubmed ID | |
Authors |
Lee M. Ritterband, Frances P. Thorndike, Daniel J. Cox, Boris P. Kovatchev, Linda A. Gonder-Frederick |
Abstract |
The Internet has become a major component to health care and has important implications for the future of the health care system. One of the most notable aspects of the Web is its ability to provide efficient, interactive, and tailored content to the user. Given the wide reach and extensive capabilities of the Internet, researchers in behavioral medicine have been using it to develop and deliver interactive and comprehensive treatment programs with the ultimate goal of impacting patient behavior and reducing unwanted symptoms. To date, however, many of these interventions have not been grounded in theory or developed from behavior change models, and no overarching model to explain behavior change in Internet interventions has yet been published. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 3 | 30% |
Australia | 2 | 20% |
United Kingdom | 1 | 10% |
Unknown | 4 | 40% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 8 | 80% |
Scientists | 1 | 10% |
Practitioners (doctors, other healthcare professionals) | 1 | 10% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 22 | 3% |
United Kingdom | 6 | <1% |
Brazil | 3 | <1% |
Netherlands | 2 | <1% |
Sweden | 2 | <1% |
Germany | 2 | <1% |
Ireland | 2 | <1% |
New Zealand | 2 | <1% |
Taiwan | 2 | <1% |
Other | 13 | 2% |
Unknown | 628 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 130 | 19% |
Student > Master | 130 | 19% |
Researcher | 108 | 16% |
Student > Bachelor | 51 | 7% |
Student > Doctoral Student | 38 | 6% |
Other | 133 | 19% |
Unknown | 94 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 235 | 34% |
Medicine and Dentistry | 72 | 11% |
Social Sciences | 56 | 8% |
Computer Science | 46 | 7% |
Nursing and Health Professions | 42 | 6% |
Other | 107 | 16% |
Unknown | 126 | 18% |