Skip to main content

Dietary Management Software for Chronic Kidney Disease: Current Status and Open Issues

  • Conference paper
  • First Online:
Health Information Science (HIS 2016)

Abstract

Chronic kidney disease (CKD) affects about 10 % of the population worldwide. Millions of people die prematurely from CKD each year. Dietary restrictions can slow the progression of CKD and improve outcomes. In recent years, introduction of new technologies has enabled patients to better manage their own dietary intake and health. Several dietary management software tools are currently available providing personalized nutrition and diet management advice for CKD patients. In this paper, we provide an overview of these software tools and discuss some open issues and possible solutions, in hope of stimulating future research in consumer health informatics for CKD.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Vassalotti, J.A., Centor, R., Turner, B.J., Greer, R.C., Choi, M., Sequist, T.D.: National Kidney Foundation Kidney Disease Outcomes Quality Initiative: practical approach to detection and management of chronic kidney disease for the primary care clinician. Am. J. Med. 129(2), 153–162.e7 (2016)

    Google Scholar 

  2. National Kidney Foundation: K/DOQI clinical practice guidelines for chronic kidney disease: evaluation, classification, and stratification. Am. J. Kidney Dis. 39(2), S1–S266 (2002)

    Article  Google Scholar 

  3. KDIGO: KDIGO 2012 clinical practice guideline for the evaluation and management of chronic kidney disease. Kidney Int. Suppl. 3(1), 1–150 (2013)

    Google Scholar 

  4. USRDS: United States Renal Data System 2015 annual data report, Chap. 6: Medicare expenditures for persons with CKD (2015). http://www.usrds.org/2015/view/v1_06.aspx

  5. Fouque, D., Pelletier, S., Mafra, D., Chauveau, P.: Nutrition and chronic kidney disease. Kidney Int. 80(4), 348–357 (2011)

    Article  Google Scholar 

  6. Wright Nunes, J.A., Wallston, K.A., Eden, S.K., Shintani, A.K., Ikizler, T.A., Cavanaugh, K.L.: Associations among perceived and objective disease knowledge and satisfaction with physician communication in patients with chronic kidney disease. Kidney Int. 80(12), 1344–1351 (2011)

    Article  Google Scholar 

  7. USRDS: United States Renal Data System 2010 Annual Data Report, Healthy People 2010 (2010). http://www.usrds.org/2010/pdf/v2_00hp.pdf

  8. Cho, M.E., Beddhu, S.: Dietary recommendations for patients with nondialysis CKD (2016). http://www.uptodate.com/contents/dietary-recommendations-for-patients-with-nondialysis-ckd

  9. Institute of Medicine: Dietary Reference Intakes for Energy, Carbohydrate, Fiber, Fat, Fatty Acids, Cholesterol, Protein, and Amino Acids, pp. 589–768. The National Academies Press, Washington DC (2005)

    Google Scholar 

  10. Chen, X., Beddhu, S.: Nutrition and chronic kidney disease. In: Bales, C.W., Locher, J.L., Saltzman, E. (eds.) Handbook of Clinical Nutrition and Aging, 3rd edn, pp. 261–271. Springer, New York (2015)

    Google Scholar 

  11. Brug, J., Oenema, A., Campbell, M.: Past, present, and future of computer-tailored nutrition education. Am. J. Clin. Nutr. 77(4 Suppl), 1028S–1034S (2003)

    Google Scholar 

  12. Kipnis, V., Subar, A.F., Midthune, D., Freedman, L.S., Ballard-Barbash, R., Troiano, R.P., Bingham, S., Schoeller, D.A., Schatzkin, A., Carroll, R.J.: Structure of dietary measurement error: results of the OPEN biomarker study. Am. J. Epidemiol. 158(1), 14–21 (2003)

    Article  Google Scholar 

  13. Carter, M.C., Burley, V.J., Nykjaer, C., Cade, J.E.: ‘My Meal Mate’ (MMM): validation of the diet measures captured on a smartphone application to facilitate weight loss. Br. J. Nutr. 109(3), 539–546 (2013)

    Article  Google Scholar 

  14. Carter, M.C., Burley, V.J., Nykjaer, C., Cade, J.E.: Adherence to a smartphone application for weight loss compared to website and paper diary: pilot randomized controlled trial. J. Med. Internet Res. 15(4), e32 (2013)

    Article  Google Scholar 

  15. Skouroliakou, M., Kakavelaki, C., Diamantopoulos, K., Stathopoulou, M., Vourvouhaki, E., Souliotis, K.: The development and implementation of a software tool and its effect on the quality of provided clinical nutritional therapy in hospitalized patients. J. Am. Med. Inform. Assoc. 16(6), 802–805 (2009)

    Article  Google Scholar 

  16. Hong, S.M., Cho, J.Y., Lee, J.H., Kim, G., Kim, M.C.: NutriSonic web expert system for meal management and nutrition counseling with nutrient time-series analysis, e-food exchange and easy data transition. Nutr. Res. Pract. 2(2), 121–129 (2008)

    Article  Google Scholar 

  17. NDL/FNIC food composition database homepage (2016). http://ndb.nal.usda.gov/

  18. Diamantidis, C.J., Becker, S.: Health information technology (IT) to improve the care of patients with chronic kidney disease (CKD). BMC Nephrol. 15, 7 (2014)

    Article  Google Scholar 

  19. Chen, X., Wei, G., Jalili, T., Metos, J., Giri, A., Cho, M.E., Boucher, R., Greene, T., Beddhu, S.: The associations of plant protein intake with all-cause mortality in CKD. Am. J. Kidney Dis. 67(3), 423–430 (2015)

    Article  Google Scholar 

  20. Uribarri, J., Calvo, M.S.: Hidden sources of phosphorus in the typical American diet: does it matter in nephrology? Semin. Dial. 16(3), 186–188 (2003)

    Article  Google Scholar 

  21. Enworom, C.D., Tabi, M.: Evaluation of kidney disease education on clinical outcomes and knowledge of self-management behaviors of patients with chronic kidney disease. Nephrol Nurs. J. 42(4), 363–372 (2015)

    Google Scholar 

  22. Contento, I.R.: Nutrition education: linking research, theory, and practice. Asia Pac. J. Clin. Nutr. 17(Suppl 1), 176–179 (2008)

    Google Scholar 

  23. Booth, A.O., Nowson, C.A., Matters, H.: Evaluation of an interactive, Internet-based weight loss program: a pilot study. Health Educ. Res. 23(3), 371–381 (2008)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Gang Luo .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing AG

About this paper

Cite this paper

Chen, X. et al. (2016). Dietary Management Software for Chronic Kidney Disease: Current Status and Open Issues. In: Yin, X., Geller, J., Li, Y., Zhou, R., Wang, H., Zhang, Y. (eds) Health Information Science. HIS 2016. Lecture Notes in Computer Science(), vol 10038. Springer, Cham. https://doi.org/10.1007/978-3-319-48335-1_7

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-48335-1_7

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-48334-4

  • Online ISBN: 978-3-319-48335-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics