Skip to main content

Monitoring and Estimating Medication Abuse

  • Conference paper
  • First Online:
Smart Health (ICSH 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9545))

Included in the following conference series:

Abstract

Prescription medication abuse is a major healthcare problem and can lead to addiction syndrome, higher healthcare cost, and serious harm to patients. Smart health can play a major role in addressing medication abuse by monitoring patient’s health conditions and medication consumption, and, by connecting with healthcare professionals and utilizing suitable interventions. More specifically, medication behavior can be analyzed using information from smart medication systems, specialized wearable sensors and/or mobile devices with patient-entered consumption data. In this paper, we study monitoring systems to predict current abuse and near-future addiction and provide interventions to reduce medication abuse. The future work involves development and evaluation of Ab-Med mobile app for monitoring medication consumption and comprehensive cost effectiveness of interventions for medication abuse.

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. Becker, W.C., Sullivan, L.E., Tetrault, J.M., Desai, R.A., Fiellin, D.A.: Non-medical use, abuse and dependence on prescription opioids among US adults: psychiatric, medical and substance use correlates. Drug Alcohol Depend. 94, 38–47 (2008)

    Article  Google Scholar 

  2. Benedict, D.G.: Walking the tightrope: chronic pain and substance abuse. J. Nurse Pract. 4, 604–609 (2008)

    Article  Google Scholar 

  3. Compton, W.S., Volkow, N.D.: Abuse of prescription drugs and the risk of addiction. Drug Alcohol Depend. 83S, S4–S7 (2006)

    Article  Google Scholar 

  4. Davis, J.M., Severtson, S.G., Bucher-Bartelson, B., Dart, R.C.: Using poison center exposure calls to predict prescription Opioid abuse and misuse-related emergency department visits. Pharmacoepidemiol. Drug Saf. 23, 18–25 (2014)

    Article  Google Scholar 

  5. Garland, E.L., Froeliger, B., Zeidan, F., Partin, K., Howard, M.O.: The downward spiral of chronic pain, prescription opioid misuse, and addiction: cognitive, affective and neuropsychopharmacologic pathways. Neurosci. Biobehav. Rev. 37, 2597–2607 (2013)

    Article  Google Scholar 

  6. Martell, B.A., O’Connor, P.G., Kerns, R.D., Becker, W.C., Morales, K.H., Kosten, T.R., Fiellin, D.A.: Systematic review: opioid treatment for chronic back pain: prevalence, efficacy, and association with addiction. Ann. Intern. Med. 146, 116–127 (2007)

    Article  Google Scholar 

  7. NIH website for prescription drug abuse. http://www.nlm.nih.gov/medlineplus/prescriptiondrugabuse.html. Accessed 15 March 2014

  8. Varshney, U.: Smart medication management system and multiple interventions for medication adherence. Decis. Support Syst. 55(2), 538–551 (2013)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Upkar Varshney .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this paper

Cite this paper

Varshney, U. (2016). Monitoring and Estimating Medication Abuse. In: Zheng, X., Zeng, D., Chen, H., Leischow, S. (eds) Smart Health. ICSH 2015. Lecture Notes in Computer Science(), vol 9545. Springer, Cham. https://doi.org/10.1007/978-3-319-29175-8_15

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-29175-8_15

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-29174-1

  • Online ISBN: 978-3-319-29175-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics