Published on in Vol 11, No 4 (2009): Oct-Dec

A Web-Based Nutrition Program Reduces Health Care Costs in Employees With Cardiac Risk Factors: Before and After Cost Analysis

A Web-Based Nutrition Program Reduces Health Care Costs in Employees With Cardiac Risk Factors: Before and After Cost Analysis

A Web-Based Nutrition Program Reduces Health Care Costs in Employees With Cardiac Risk Factors: Before and After Cost Analysis

Journals

  1. Zhang D, Wang G, Joo H. A Systematic Review of Economic Evidence on Community Hypertension Interventions. American Journal of Preventive Medicine 2017;53(6):S121 View
  2. Hickey K, Johnson M, Biviano A, Aboelela S, Thomas T, Bakken S, Garan H, Zimmerman J, Whang W. Cardiac e-Learning: Development of a Web-Based Implantable Cardioverter Defibrillator Educational System. Telemedicine and e-Health 2011;17(3):196 View
  3. Howarth A, Quesada J, Silva J, Judycki S, Mills P. The impact of digital health interventions on health-related outcomes in the workplace: A systematic review. DIGITAL HEALTH 2018;4:205520761877086 View
  4. Jandoo T. WHO guidance for digital health: What it means for researchers. DIGITAL HEALTH 2020;6:205520761989898 View
  5. Bosworth A, York C, Kotansky H, Berman M. An Inventor's Perspective on Consumer Health Informatics. American Journal of Preventive Medicine 2011;40(5):S241 View
  6. Bensley R, Anderson J, Brusk J, Mercer N, Rivas J. Impact of Internet vs Traditional Special Supplemental Nutrition Program for Women, Infants, and Children Nutrition Education on Fruit and Vegetable Intake. Journal of the American Dietetic Association 2011;111(5):749 View
  7. Arena R, Williams M, Forman D, Cahalin L, Coke L, Myers J, Hamm L, Kris-Etherton P, Humphrey R, Bittner V, Lavie C. Increasing Referral and Participation Rates to Outpatient Cardiac Rehabilitation: The Valuable Role of Healthcare Professionals in the Inpatient and Home Health Settings. Circulation 2012;125(10):1321 View
  8. Ashen D. Cost-Effective Prevention of Coronary Heart Disease. The Journal for Nurse Practitioners 2010;6(10):754 View
  9. Brennan P, Casper G, Burke L, Johnson K, Brown R, Valdez R, Sebern M, Perez O, Sturgeon B. Technology-enhanced practice for patients with chronic cardiac disease: Home implementation and evaluation. Heart & Lung 2010;39(6):S34 View
  10. Lerner D, Rodday A, Cohen J, Rogers W. A Systematic Review of the Evidence Concerning the Economic Impact of Employee-Focused Health Promotion and Wellness Programs. Journal of Occupational & Environmental Medicine 2013;55(2):209 View
  11. Loehmer E, Smith S, McCaffrey J, Davis J. Examining Internet Access and Social Media Application Use for Online Nutrition Education in SNAP-Ed Participants in Rural Illinois. Journal of Nutrition Education and Behavior 2018;50(1):75 View
  12. Brindal E, Freyne J, Saunders I, Berkovsky S, Smith G, Noakes M. Features Predicting Weight Loss in Overweight or Obese Participants in a Web-Based Intervention: Randomized Trial. Journal of Medical Internet Research 2012;14(6):e173 View
  13. Fallaize R, Forster H, Macready A, Walsh M, Mathers J, Brennan L, Gibney E, Gibney M, Lovegrove J. Online Dietary Intake Estimation: Reproducibility and Validity of the Food4Me Food Frequency Questionnaire Against a 4-Day Weighed Food Record. Journal of Medical Internet Research 2014;16(8):e190 View
  14. Greving J, Kaasjager H, Vernooij J, Hovens M, Wierdsma J, Grandjean H, van der Graaf Y, de Wit G, Visseren F. Cost-effectiveness of a nurse-led internet-based vascular risk factor management programme: economic evaluation alongside a randomised controlled clinical trial. BMJ Open 2015;5(5):e007128 View
  15. Yum J, Lee S. Application and Evaluation of Web-based Food Frequency Questionnaire for Korean Adolescents. Korean Journal of Community Nutrition 2016;21(5):440 View
  16. Horstman C, Ryan D, Aronne L, Apovian C, Foreyt J, Tuttle H, Williamson D. Return on Investment: Medical Savings of an Employer‐Sponsored Digital Intensive Lifestyle Intervention for Weight Loss. Obesity 2021;29(4):654 View
  17. Su S, Huang C, Gung R, Hsiung L, Gao Z, Tsai C. A Decision Support System with Artificial Intelligence and Natural Language Processing to Mitigate the Deduction Rate of Health Insurance Claims. Applied Sciences 2021;11(24):11623 View
  18. Tajeu G, Tsipas S, Rakotz M, Wozniak G. Cost-Effectiveness of Recommendations From the Surgeon General’s Call-to-Action to Control Hypertension. American Journal of Hypertension 2022;35(3):225 View

Books/Policy Documents

  1. Wetter T. Consumer Health Informatics. View