This paper is in the following e-collection/theme issue:

Web-based and Mobile Health Interventions (3297)

Published on in Vol 14, No 1 (2012): Jan-Feb

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

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

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

Authors of this article:

Francine Schneider1 Author Orcid Image ;   Liesbeth van Osch1 ;   Hein de Vries1
Article Authors Cited by (51) Tweetations (25) Metrics

Journals

  1. Moore A, Rothpletz A, Preminger J. The Effect of Chronological Age on the Acceptance of Internet-Based Hearing Health Care. American Journal of Audiology 2015;24(3):280 View
  2. Diaz-Ledezma C, Higuera C, Parvizi J. Success After Treatment of Periprosthetic Joint Infection: A Delphi-based International Multidisciplinary Consensus. Clinical Orthopaedics and Related Research® 2013;471(7):2374 View
  3. de Ruijter D, Smit E, de Vries H, Hoving C. Web-based computer-tailoring for practice nurses aimed to improve smoking cessation guideline adherence: A study protocol for a randomized controlled effectiveness trial. Contemporary Clinical Trials 2016;48:125 View
  4. Paige S, Black D, Mattson M, Coster D, Stellefson M. Plain Language to Communicate Physical Activity Information: A Website Content Analysis. Health Promotion Practice 2019;20(3):363 View
  5. Ekberg J, Gursky E, Timpka T. Pre-launch evaluation checklist for online health-promoting communities. Journal of Biomedical Informatics 2014;47:11 View
  6. Lana A, Faya-Ornia G, López M. 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 View
  7. Jander A, Crutzen R, Mercken L, De Vries H. Web-based interventions to decrease alcohol use in adolescents: a Delphi study about increasing effectiveness and reducing drop-out. BMC Public Health 2015;15(1) View
  8. Garvin L, Simon S. Prioritizing Measures of Digital Patient Engagement: A Delphi Expert Panel Study. Journal of Medical Internet Research 2017;19(5):e182 View
  9. 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 View
  10. Dekker N, Hermens R, Mensenkamp A, van Zelst‐Stams W, Hoogerbrugge N. Easy‐to‐use online referral test detects most patients with a high familial risk of colorectal cancer. Colorectal Disease 2014;16(1) View
  11. Wozney L, McGrath P, Newton A, Huguet A, Franklin M, Perri K, Leuschen K, Toombs E, Lingley-Pottie P. Usability, learnability and performance evaluation of Intelligent Research and Intervention Software: A delivery platform for eHealth interventions. Health Informatics Journal 2016;22(3):730 View
  12. Schmid B, Carlson J, Rezniczek G, Wyllie J, Jaaback K, Vencovsky F, Ryser M. Examining word association networks: A cross-country comparison of women’s perceptions of HPV testing and vaccination. PLOS ONE 2017;12(10):e0185669 View
  13. Kilaru A, Asch D, Sellers A, Merchant R. Promoting Public Health Through Public Art in the Digital Age. American Journal of Public Health 2014;104(9):1633 View
  14. de Vries H, Pajor E, Curfs K, Eggers S, Oenema A. How to foster informed decision making about food supplements: results from an international Delphi study. Health Education Research 2019;34(4):435 View
  15. Campbell W, Hester R, Lenberg K, Delaney H. Overcoming Addictions, a Web-Based Application, and SMART Recovery, an Online and In-Person Mutual Help Group for Problem Drinkers, Part 2: Six-Month Outcomes of a Randomized Controlled Trial and Qualitative Feedback From Participants. Journal of Medical Internet Research 2016;18(10):e262 View
  16. Lund B. Review of the Delphi method in library and information science research. Journal of Documentation 2020;76(4):929 View
  17. Lana A, del Valle M, López S, Faya-Ornia G, López M. 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) View
  18. Thilsing T, Sonderlund A, Sondergaard J, Svensson N, Christensen J, Thomsen J, Hvidt N, Larsen L. Changes in Health-Risk Behavior, Body Mass Index, Mental Well-Being, and Risk Status Following Participation in a Stepwise Web-Based and Face-to-Face Intervention for Prevention of Lifestyle-Related Diseases: Nonrandomized Follow-Up Cohort Study. JMIR Public Health and Surveillance 2020;6(3):e16083 View
  19. Jokar Arsanjani J, Bakillah M. Understanding the potential relationship between the socio-economic variables and contributions to OpenStreetMap. International Journal of Digital Earth 2015;8(11):861 View
  20. Poot C, van der Kleij R, Brakema E, Vermond D, Williams S, Cragg L, van den Broek J, Chavannes N. From research to evidence-informed decision making: a systematic approach. Journal of Public Health 2018;40(suppl_1):i3 View
  21. Carey M, Rich C, Norris A, Krieger N, Gavarkovs A, Kaplan C, Guthrie K, Carey K. A Brief Clinic-Based Intervention to Reduce Alcohol Misuse and Sexual Risk Behavior in Young Women: Results from an Exploratory Clinical Trial. Archives of Sexual Behavior 2020;49(4):1231 View
  22. Maertens J, Jimenez-Zambrano A, Albright K, Dempsey A. Using Community Engagement to Develop a Web-Based Intervention for Latinos about the HPV Vaccine. Journal of Health Communication 2017;22(4):285 View
  23. Gladstone T, Marko-Holguin M, Henry J, Fogel J, Diehl A, Van Voorhees B. Understanding Adolescent Response to a Technology-Based Depression Prevention Program. Journal of Clinical Child & Adolescent Psychology 2014;43(1):102 View
  24. Taki S, Campbell K, Russell C, Elliott R, Laws R, Denney-Wilson E. Infant Feeding Websites and Apps: A Systematic Assessment of Quality and Content. interactive Journal of Medical Research 2015;4(3):e18 View
  25. 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 View
  26. Van Voorhees B, Hsiung R, Marko-Holguin M, Houston T, Fogel J, Lee R, Ford D. 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 View
  27. Reininger B, Mecca L, Stine K, 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 View
  28. Davies E, Martin J, Foxcroft D. Development of an adolescent alcohol misuse intervention based on the Prototype Willingness Model. Health Education 2016;116(3):275 View
  29. Larsen L, Sonderlund A, Sondergaard J, Thomsen J, Halling A, Hvidt N, Hvidt E, Mønsted T, Pedersen L, Roos E, Pedersen P, Thilsing T. Targeted prevention in primary care aimed at lifestyle-related diseases: a study protocol for a non-randomised pilot study. BMC Family Practice 2018;19(1) View
  30. 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 View
  31. Larsen L, Sondergaard J, Thomsen J, Halling A, Sønderlund A, Christensen J, Thilsing T. Step-wise approach to prevention of chronic diseases in the Danish primary care sector with the use of a personal digital health profile and targeted follow-up – an assessment of attendance. BMC Public Health 2019;19(1) View
  32. Kaufman N. Using Health Information Technology to Prevent and Treat Diabetes. Diabetes Technology & Therapeutics 2013;15(S1):S-60 View
  33. Nielsen M, Jull G, Hodges P. Information needs of people with low back pain for an online resource: a qualitative study of consumer views. Disability and Rehabilitation 2014;36(13):1085 View
  34. Philips B, Smits C, Govaerts P, Doorn I, Vanpoucke F. Empowering Senior Cochlear Implant Users at Home via a Tablet Computer Application. American Journal of Audiology 2018;27(3S):417 View
  35. 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 View
  36. Olthof D, van der Vlies C, Joosse P, van Delden O, Jurkovich G, 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 View
  37. Yardley L, Morrison L, Bradbury K, Muller I. The Person-Based Approach to Intervention Development: Application to Digital Health-Related Behavior Change Interventions. Journal of Medical Internet Research 2015;17(1):e30 View
  38. Alvarez L, Colonna R. Characteristics of a technology-based intervention for young drivers' hazard perception: A Delphi study. Journal of Transport & Health 2020;19:100951 View
  39. Kershaw S, Birrell L, Deen H, Newton N, Stapinski L, Champion K, Kay-Lambkin F, Teesson M, Chapman C. Evaluation of a Digital Health Initiative in Illicit Substance Use: Cross-sectional Survey Study. Journal of Medical Internet Research 2021;23(8):e29026 View
  40. Janahi N, Durugbo C, Al‐Jayyousi O. Critical network factors for eco‐innovation in manufacturing: A Delphi study from a triple helix perspective. Business Strategy and the Environment 2023;32(6):3649 View
  41. Mirza M, Harrison E, Miller K, Jacobs E. Indicators of Quality Rehabilitation Services for Individuals with Limited English Proficiency: A 3-Round Delphi Study. Archives of Physical Medicine and Rehabilitation 2021;102(11):2125 View
  42. Jessup R, Hanna S, Kaur J, Bayat I, Bramston C. Early supported hospital discharge for foot disease: a co-design study. BMC Health Services Research 2021;21(1) View
  43. Colonna R, Tucker P, Holmes J, Wilson J, Alvarez L. Mobile-based brief interventions targeting cannabis-impaired driving among youth: A Delphi study. Journal of Substance Abuse Treatment 2022;141:108802 View
  44. Szpunar M, Bruijns B, Vanderloo L, Shelley J, Burke S, Tucker P. Development of a Physical Activity and Sedentary Behaviour Policy for Canadian Childcare Settings: A Delphi Study. Early Childhood Education Journal 2024;52(4):735 View
  45. Urrutia J, Camino-Willhuber G, Guerrero A, Diaz-Ledezma C, Bono C. An international consensus based on the Delphi method to define failure of medical treatment in pyogenic spinal infections. The Spine Journal 2024;24(2):250 View
  46. Duymaz Y, Tekin A, D’Haese P, Şahin Ş, Erkmen B, Cırık A, Topsakal V. Comprehensiveness of online sources for patient education on hereditary hearing impairment. Frontiers in Pediatrics 2023;11 View
  47. McAlpine R, Sacchet M, Simonsson O, Khan M, Krajnovic K, Morometescu L, Kamboj S. Development of a digital intervention for psychedelic preparation (DIPP). Scientific Reports 2024;14(1) View
  48. Feil A, Antunes C, da Silva P, de Castro N. The critical drivers of the Brazilian electricity sector's transition through 2050: A Delphi study. Utilities Policy 2024;87:101728 View
  49. de Ruijter D, Smit E, de Vries H, Goossens L, Hoving C. Understanding Dutch practice nurses' adherence to evidence-based smoking cessation guidelines and their needs for web-based adherence support: results from semistructured interviews. BMJ Open 2017;7(3):e014154 View
  50. Poirier E, Robinson L. Slow Delphi: An investigation into information behaviour and the Slow Movement. Journal of Information Science 2014;40(1):88 View

Books/Policy Documents

  1. Shelton C, Kotsiou A, Hetzel-Riggin M. Human Factors Issues and the Impact of Technology on Society. View