Skip to main content

Dynamic Pain Assessment: An Application of Clinical Infometrics to Personalized Pain Treatment and Management

  • Chapter
  • First Online:

Abstract

Pain is a critical health problem worldwide. It is the most common reason for medical appointments but often undertreated. Accurate assessment is an important first step in the treatment of persons suffering from pain. Although a critical mass of pain assessment tools now exist, there remain challenges to make them clinically useful. Dynamic pain assessment synthesizing modern psychometrics and advanced technologies allows for maximum flexibility in reliable assessment and practice guidance in facilitating treatment decision making. This adaptive approach can potentially lessen the complexity of pain assessment and serve as a viable means to improve pain treatment and management in diverse patient populations. In this chapter, we discuss the integration of psychometrics and informatics to address the challenges and opportunities for individualized pain assessment, treatment, and management. We specifically describe a dynamic pain assessment system that can allow the pain experience to be reliably self-reported and utilized to optimally guide personalized pain treatment and management in a variety of settings and populations.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   349.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   449.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   599.99
Price excludes VAT (USA)
  • Durable hardcover 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

Learn about institutional subscriptions

References

  • United Nations. (2003). Economic and Social Commission for Western Asia. Information and Communications Technology Division. Review of information and communications technology and development (p. v). New York: United Nations.

    Google Scholar 

  • Ahles, T. A., Blanchard, E. B., & Ruckdeschel, J. C. (1983). The multidimensional nature of cancer-related pain. Pain, 17(3), 277–288.

    Article  PubMed  CAS  Google Scholar 

  • Al-Chaer, E. (2011). Neuroanatomy of pain and pain pathways. In R. J. Moore (Ed.), Handbook of pain and palliative care. New York: Springer.

    Google Scholar 

  • Anderson, K. O., Green, C. R., & Payne, R. (2009). Racial and ethnic disparities in pain: Causes and consequences of unequal care. The Journal of Pain, 10(12), 1187–1204.

    Article  PubMed  Google Scholar 

  • Anon. (1986). Classification of chronic pain. Descriptions of chronic pain syndromes and definitions of pain terms. Prepared by the International Association for the Study of Pain, Subcommittee on Taxonomy. Pain Suppl, 3, S1–S226.

    Google Scholar 

  • Bonham, V. L. (2001). Race, ethnicity, and pain treatment: Striving to understand the causes and solutions to the disparities in pain treatment. The Journal of Law, Medicine & Ethics, 29(1), 52–68.

    CAS  Google Scholar 

  • Chang, C. H., Boni-Saenz, A. A., Durazo-Arvizu, R. A., Desharnais, S., Lau, D. T., & Emanuel, L. L. (2007). A system for interactive assessment and management in palliative care. Journal of Pain and Symptom Management, 33(6), 745–755.

    Article  PubMed  Google Scholar 

  • Chang, C.-H., & Reeve, B. B. (2005). Item response theory and its applications to patient-reported outcomes measurement. Evaluation & the Health Professions, 28(3), 1–19.

    Article  CAS  Google Scholar 

  • Christensen, M., Remler, D., & National Bureau of Economic Research. (2007). Information and communications technology in chronic disease care why is adoption so slow and is slower better? NBER working paper series working paper 13078. Cambridge: National Bureau of Economic Research. Retrieved, from http://papers.nber.org/papers/w13078.

  • Cole, B., & McCarberg, W. (2011). Pain in the older person. In R. J. Moore (Ed.), Handbook of pain and palliative care. New York: Springer.

    Google Scholar 

  • Ferrell, B. A., Ferrell, B. R., & Osterweil, D. (1990). Pain in the nursing home. Journal of the American Geriatrics Society, 38(4), 409–414.

    PubMed  CAS  Google Scholar 

  • Fox, P. L., Raina, P., & Jadad, A. R. (1999). Prevalence and treatment of pain in older adults in nursing homes and other long-term care institutions: A systematic review. Canadian Medical Association journal, 160(3), 329–333.

    PubMed  CAS  Google Scholar 

  • Gallagher, R. M., Verma, S., & Mossey, J. (2000). Chronic pain. Sources of late-life pain and risk factors for disability. Geriatrics, 55(9), 40–44; 47.

    Google Scholar 

  • Gatchel, R. J., Haggard, R., Thomas, C., & Howard, K. J. (2011). A biopsychosocial approach to understanding chronic pain and disability. In R. J. Moore (Ed.), Handbook of pain and palliative care. New York: Springer.

    Google Scholar 

  • Gatchel, R. J., & Turk, D. C. (1996). Psychological approaches to pain management: A practitioner’s handbook. New York: Guilford Press.

    Google Scholar 

  • Gibson, S. J., & Weiner, D. K. (2005). Pain in older persons. Seattle: IASP Press.

    Google Scholar 

  • Green, C. (2011). Disparities in pain management and palliative care. In R. J. Moore (Ed.), Handbook of pain and palliative care. New York: Springer.

    Google Scholar 

  • Hambleton, R. K., Swaminathan, H., & Rogers, H. J. (1991). Fundamentals of item response theory. Newbury Park: Sage.

    Google Scholar 

  • Hjermstad, M., Faxvaag Haugen, D., Michael Bennett, I., & Kaasa, S. (2011). Pain assessment tools in palliative care and cancer. In R. J. Moore (Ed.), Handbook of pain and palliative care. New York: Springer.

    Google Scholar 

  • Jamison, R. N. (1996a). Learning to master your chronic pain. Sarasota: Professional Resource Press.

    Google Scholar 

  • Jamison, R. N. (1996b). Mastering chronic pain: A professional’s guide to behavioral treatment. Sarasota: Professional Resource Press.

    Google Scholar 

  • Jamison, R. N., Gracely, R. H., Raymond, S. A., et al. (2002). Comparative study of electronic vs. paper VAS ratings: A randomized, crossover trial using healthy volunteers. Pain, 99(1–2), 341–347.

    Article  PubMed  Google Scholar 

  • Jamison, R. N., Raymond, S. A., Levine, J. G., Slawsby, E. A., Nedeljkovic, S. S., & Katz, N. P. (2001). Electronic diaries for monitoring chronic pain: 1-year validation study. Pain, 91(3), 277–285.

    Article  PubMed  CAS  Google Scholar 

  • Karoly, P., & Jensen, M. P. (1987). Multimethod assessment of chronic pain (1st ed.). Oxford: Pergamon Press.

    Google Scholar 

  • Keefe, F. (2000). Self-report of pain: Issues and opportunities. In A. A. Stone, C. A. Bachrach, J. B. Jobe, H. S. Kurtzman, & V. S. Cain (Eds.), The science of self-report: Implications for research and practice (pp. 17–37). Mahwah: Lawrence Erlbaum.

    Google Scholar 

  • Kovach, C. (2011). Assessing pain and unmet needs in patients with advanced dementia: The role of the serial trial intervention (STI). In R. J. Moore (Ed.), Handbook of pain and palliative care. New York: Springer.

    Google Scholar 

  • Landi, F., Onder, G., Cesari, M., et al. (2001). Pain management in frail, community-living elderly patients. Archives of Internal Medicine, 161(22), 2721–2724.

    Article  PubMed  CAS  Google Scholar 

  • Litt, M. D., Cooney, N. L., & Morse, P. (1998). Ecological momentary assessment (EMA) with treated alcoholics: Methodological problems and potential solutions. Health Psychology, 17(1), 48–52.

    Article  PubMed  CAS  Google Scholar 

  • Mantyselka, P. T., Turunen, J. H., Ahonen, R. S., & Kumpusalo, E. A. (2003). Chronic pain and poor self-rated health. The Journal of the American Medical Association, 290(18), 2435–2442.

    Article  Google Scholar 

  • May, S. (2011). Chronic low back pain. In R. J. Moore (Ed.), Handbook of pain and palliative care. New York: Springer.

    Google Scholar 

  • McGuire, D. B. (1992). Comprehensive and multidimensional assessment and measurement of pain. Journal of Pain and Symptom Management, 7(5), 312–319.

    Article  PubMed  CAS  Google Scholar 

  • Nguyen, M., Ugarte, C., Fuller, I., Haas, G., & Portenoy, R. K. (2005). Access to care for chronic pain: Racial and ethnic differences. The Journal of Pain, 6(5), 301–314.

    Article  PubMed  Google Scholar 

  • Ohayon, M. M., & Schatzberg, A. F. (2003). Using chronic pain to predict depressive morbidity in the general population. Archives of General Psychiatry, 60(1), 39–47.

    Article  PubMed  Google Scholar 

  • Palermo, Y. (2011). The art of pain: The patient’s perspective of chronic pain. In R. J. Moore (Ed.), Handbook of pain and palliative care. New York: Springer.

    Google Scholar 

  • Portenoy, R. K., Ugarte, C., Fuller, I., & Haas, G. (2004). Population-based survey of pain in the United States: Differences among white, African American, and Hispanic subjects. The Journal of Pain, 5(6), 317–328.

    Article  PubMed  Google Scholar 

  • Raj, P. P. (2004). The prevalence of chronic pain in the United States remains high, imposing a large economic burden on patients and society. Pain Practice, 4(Suppl 1), S1–S3.

    Article  PubMed  Google Scholar 

  • Rodriguez, C. S. (2001). Pain measurement in the elderly: A review. Pain Management Nursing, 2(2), 38–46.

    Article  PubMed  CAS  Google Scholar 

  • Sakauye, K. (2005). Cultural influences on pain management in the elderly. Comprehensive Therapy, 31(1), 78–82.

    Article  PubMed  Google Scholar 

  • Schappert, S. M. (1992). National ambulatory medical care survey: 1989 summary. Vital Health Statistics Series 13, 110, 1–80.

    Google Scholar 

  • Seow, H., & Dy, S. (2011). Quality indicators for pain in palliative care. In R. J. Moore (Ed.), Handbook of pain and palliative care. New York: Springer.

    Google Scholar 

  • Short, R., & Vetter, T. (2011). Acute to chronic pain: Transitions in the post surgical patient. In R. J. Moore (Ed.), Handbook of pain and palliative care. New York: Springer.

    Google Scholar 

  • Spiegel, D., Sands, S., & Koopman, C. (1994). Pain and depression in patients with cancer. Cancer, 74(9), 2570–2578.

    Article  PubMed  CAS  Google Scholar 

  • Stewart, W. F., Ricci, J. A., Chee, E., & Morganstein, D. (2003). Lost productive work time costs from health conditions in the United States: Results from the American Productivity Audit. Journal of Occupational and Environmental Medicine, 45(12), 1234–1246.

    Article  PubMed  Google Scholar 

  • Stone, A. A., Shiffman, S., Schwartz, J. E., Broderick, J. E., & Hufford, M. R. (2003). Patient compliance with paper and electronic diaries. Controlled Clinical Trials, 24(2), 182–199.

    Article  PubMed  Google Scholar 

  • Straka, R. J., Fish, J. T., Benson, S. R., & Suh, J. T. (1997). Patient self-reporting of compliance does not correspond with electronic monitoring: An evaluation using isosorbide dinitrate as a model drug. Pharmacotherapy, 17(1), 126–132.

    PubMed  CAS  Google Scholar 

  • Von Roenn, J. H., Cleeland, C. S., Gonin, R., Hatfield, A. K., & Pandya, K. J. (1993). Physician attitudes and practice in cancer pain management. A survey from the Eastern Cooperative Oncology Group. Annals of Internal Medicine, 119(2), 121–126.

    Article  Google Scholar 

  • Whelan, C. T., Jin, L., & Meltzer, D. (2004). Pain and satisfaction with pain control in hospitalized medical patients: No such thing as low risk. Archives of Internal Medicine, 164(2), 175–180.

    Article  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer Science+Business Media, LLC

About this chapter

Cite this chapter

Chang, CH. (2013). Dynamic Pain Assessment: An Application of Clinical Infometrics to Personalized Pain Treatment and Management. In: Moore, R.J. (eds) Handbook of Pain and Palliative Care. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-1651-8_9

Download citation

  • DOI: https://doi.org/10.1007/978-1-4419-1651-8_9

  • Published:

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4419-1650-1

  • Online ISBN: 978-1-4419-1651-8

  • eBook Packages: MedicineMedicine (R0)

Publish with us

Policies and ethics