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Works citing "Identifying Factors for Optimal Development of Health-Related Websites: A Delphi Study Among Experts and Potential Future Users"

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.1863):

(note that this is only a small subset of citations)

  1. Gevers D, Kremers S, de Vries N, van Assema P. Clarifying concepts of food parenting practices. A Delphi study with an application to snacking behavior. Appetite 2014;79:51
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  2. Kilaru AS, Asch DA, Sellers A, Merchant RM. Promoting Public Health Through Public Art in the Digital Age. American Journal of Public Health 2014;:e1
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  3. Hughes M, Murphy M. Evaluation of a pilot national online asthma E-learning program for secondary school students*. Issues in Comprehensive Pediatric Nursing 2014;37(2):136
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  4. Lana A, Faya-Ornia G, López ML. Impact of a web-based intervention supplemented with text messages to improve cancer prevention behaviors among adolescents: Results from a randomized controlled trial. Preventive Medicine 2014;59:54
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  5. Arsanjani JJ, Bakillah M. Understanding the potential relationship between the socio-economic variables and contributions to OpenStreetMap. International Journal of Digital Earth 2014;:1
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  6. Gladstone T, Marko-Holguin M, Henry J, Fogel J, Diehl A, Van Voorhees BW. Understanding Adolescent Response to a Technology-Based Depression Prevention Program. Journal of Clinical Child & Adolescent Psychology 2014;43(1):102
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  7. Morrison L, Moss-Morris R, Michie S, Yardley L. Optimizing engagement with Internet-based health behaviour change interventions: Comparison of self-assessment with and without tailored feedback using a mixed methods approach. British Journal of Health Psychology 2014;19(4):839
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  8. Ekberg J, Gursky EA, Timpka T. Pre-launch evaluation checklist for online health-promoting communities. Journal of Biomedical Informatics 2014;47:11
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  9. Dekker N, Hermens RPMG, Mensenkamp AR, van Zelst-Stams WAG, Hoogerbrugge N. Easy-to-use online referral test detects most patients with a high familial risk of colorectal cancer. Colorectal Disease 2014;16(1):O26
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  10. Lana A, del Valle MO, López S, Faya-Ornia G, López ML. Study protocol of a randomized controlled trial to improve cancer prevention behaviors in adolescents and adults using a web-based intervention supplemented with SMS. BMC Public Health 2013;13(1):357
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  11. Nielsen M, Jull G, Hodges PW. Information needs of people with low back pain for an online resource: a qualitative study of consumer views. Disability and Rehabilitation 2013;:1
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  12. Kaufman N. Using Health Information Technology to Prevent and Treat Diabetes. Diabetes Technology & Therapeutics 2013;15(S1):S-60
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  13. Schneider F, de Vries H, Candel M, van de Kar A, van Osch L. Periodic Email Prompts to Re-Use an Internet-Delivered Computer-Tailored Lifestyle Program: Influence of Prompt Content and Timing. Journal of Medical Internet Research 2013;15(1):e23
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  14. Van Voorhees BW, Hsiung RC, Marko-Holguin M, Houston TK, Fogel J, Lee R, Ford DE. Internal Versus External Motivation in Referral of Primary Care Patients with Depression to an Internet Support Group: Randomized Controlled Trial. Journal of Medical Internet Research 2013;15(3):e42
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  15. Olthof DC, van der Vlies CH, Joosse P, van Delden OM, Jurkovich GJ, Goslings J. Consensus strategies for the nonoperative management of patients with blunt splenic injury. Journal of Trauma and Acute Care Surgery 2013;74(6):1567
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  16. Diaz-Ledezma C, Higuera CA, Parvizi J. Success After Treatment of Periprosthetic Joint Infection: A Delphi-based International Multidisciplinary Consensus. Clinical Orthopaedics and Related Research® 2013;471(7):2374
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  17. Reininger B, Mecca LP, Stine KM, Schultz K, Ling L, Halpern D. A Type 2 Diabetes Prevention Website for African Americans, Caucasians, and Mexican Americans: Formative Evaluation. JMIR Research Protocols 2013;2(2):e24
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