Skip to main content

Advertisement

Log in

Agreement between personally generated areas of quality of life concern and standard outcome measures in people with advanced cancer

  • Original Article
  • Published:
Supportive Care in Cancer Aims and scope Submit manuscript

Abstract

Purpose

People with advanced cancer experience different sequelae which have unique effects on quality of life (QOL). The patient-generated index (PGI) is a personalized measure that allows patients to nominate, rate, and value areas that have the most impact on QOL. Fatigue, pain, and aspects of physical function are among the top 10 areas with QOL impact. An area of validation that is lacking for the PGI is the extent to which spontaneously nominated areas of QOL that patients are concerned with, agree with ratings obtained from standard patient reported outcomes (PROs).

Methods

Data from 192 patients were used to compare ratings on fatigue, pain, and physical function obtained from PGI to those from standard outcome measures.

Results

Within one severity rating, agreement ranged from 32.1 to 76.9 % within the fatigue domain, 34.2 to 95.24 % for pain, and between 84.2 and 94.7 % for physical function. Of the 10 items where the PGI had the highest agreement, 7 came from the RAND-36. At the domain level, people nominating an area scored in the more impaired range on standard measures than people who did not.

Conclusion

PGI gives comparable information as do standard measures.

Implications for cancer

PGI provides important information to guide clinical care of the patient and also produces a legitimate total score suitable for research.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

Similar content being viewed by others

References

  1. Smith T et al. (2007) The rationale, design, and implementation of the American Cancer Society’s studies of cancer survivors. Cancer 109(1):1–12

    Article  PubMed  Google Scholar 

  2. Lehmann JF et al. (1978) Cancer rehabilitation: assessment of need, development, and evaluation of a model of care. Arch Phys Med Rehabil 59(9):410–419

  3. Ness KK et al. (2006) Physical performance limitations and participation restrictions among cancer survivors: a population-based study. Ann Epidemiol 16(3):197–205

    Article  PubMed  Google Scholar 

  4. Zucca A et al. (2015) Medical oncology patients: are they offered help and does it provide relief? J Pain Symptom Manag 50(4):436–444

    Article  Google Scholar 

  5. Aburub AS et al. (2016) Using a personalized measure (Patient Generated Index (PGI)) to identify what matters to people with cancer. Support Care Cancer 24(1):437–445

    Article  PubMed  Google Scholar 

  6. Donnelly S, Walsh D (1995) The symptoms of advanced cancer. Semin Oncol 22(2 Suppl 3):67–72

    CAS  PubMed  Google Scholar 

  7. Morrow GR et al. (2005) Management of cancer-related fatigue. Cancer Investig 23(3):229–239

    Article  Google Scholar 

  8. Mayo NE et al. (2014) Pedometer-facilitated walking intervention shows promising effectiveness for reducing cancer fatigue: a pilot randomized trial. Clin Rehabil 28(12):1198–1209

    Article  PubMed  Google Scholar 

  9. Cramp, F. and J. Daniel, Exercise for the management of cancer-related fatigue in adults. Cochrane Database Syst Rev, 2008(2): p. Cd006145.

  10. Cancer-related fatigue. (2003) Clinical practice guidelines in oncology. J Natl Compr Cancer Netw 1(3):308–331

  11. Network, N.C.C., Clinical practice guidelines in oncology—cancer-related fatigue., 2009. V2.2009.

  12. Di Maio M et al. (2004) Prevalence and management of pain in Italian patients with advanced non-small-cell lung cancer. Br J Cancer 90(12):2288–2296

    PubMed  PubMed Central  Google Scholar 

  13. Stromgren AS et al. (2004) Pain characteristics and treatment outcome for advanced cancer patients during the first week of specialized palliative care. J Pain Symptom Manag 27(2):104–113

    Article  Google Scholar 

  14. Knudsen AK et al. (2009) Classification of pain in cancer patients—a systematic literature review. Palliat Med 23(4):295–308

    Article  CAS  PubMed  Google Scholar 

  15. Kocoglu H et al. (2002) Cancer pain, pathophysiology, characteristics and syndromes. Eur J Gynaecol Oncol 23(6):527–532

    CAS  PubMed  Google Scholar 

  16. Lunney JR et al. (2003) Patterns of functional decline at the end of life. JAMA 289(18):2387–2392

    Article  PubMed  Google Scholar 

  17. Friedenreich CM, Orenstein MR (2002) Physical activity and cancer prevention: etiologic evidence and biological mechanisms. J Nutr 132(11 Suppl):3456S–3464S

    CAS  PubMed  Google Scholar 

  18. McMichael AJ (2008) Food, nutrition, physical activity and cancer prevention. Authoritative report from World Cancer Research Fund provides global update. Public Health Nutr 11(7):762–763

    Article  CAS  PubMed  Google Scholar 

  19. McTiernan A (2008) Mechanisms linking physical activity with cancer. Nat Rev Cancer 8(3):205–211

    Article  CAS  PubMed  Google Scholar 

  20. Midtgaard J et al. (2015) Cancer survivors’ experience of exercise-based cancer rehabilitationa meta-synthesis of qualitative research. Acta Oncol 54(5):609–617

    Article  PubMed  Google Scholar 

  21. Salakari MR et al. (2015) Effects of rehabilitation among patients with advances cancer: a systematic review. Acta Oncol 54(5):618–628

    Article  PubMed  Google Scholar 

  22. Weis J, Giesler JM (2014) Rehabilitation for cancer patients. Recent Results Cancer Res 197:87–101

    Article  PubMed  Google Scholar 

  23. Dimoska A et al. (2008) Can a “prompt list” empower cancer patients to ask relevant questions? Cancer 113(2):225–237

    Article  PubMed  Google Scholar 

  24. Group EQOL (1990) EuroQol—a new facility for the measurement of health-related quality of life. Health Policy 16(3):199–208

    Article  Google Scholar 

  25. Gudex C et al. (1996) Health state valuations from the general public using the visual analogue scale. Qual Life Res 5(6):521–531

    Article  CAS  PubMed  Google Scholar 

  26. Ware JE Jr (2000) SF-36 health survey update. Spine (Phila Pa 1976) 25(24):3130–3139

  27. Aaronson NK et al. (1993) The European Organization for Research and Treatment of Cancer QLQ-C30: a quality-of-life instrument for use in international clinical trials in oncology. J Natl Cancer Inst 85(5):365–376

    Article  CAS  PubMed  Google Scholar 

  28. Cella DF et al. (1993) The Functional Assessment of Cancer Therapy scale: development and validation of the general measure. J Clin Oncol 11(3):570–579

    CAS  PubMed  Google Scholar 

  29. Ribaudo JM et al. (2000) Re-validation and shortening of the Functional Assessment of Anorexia/Cachexia Therapy (FAACT) questionnaire. Qual Life Res 9(10):1137–1146

    Article  CAS  PubMed  Google Scholar 

  30. Cohen SR, Mount BM (2000) Living with cancer: “good” days and “bad” days–what produces them? Can the McGill quality of life questionnaire distinguish between them? Cancer 89(8):1854–1865

    Article  CAS  PubMed  Google Scholar 

  31. Cohen SR et al. (1997) Validity of the McGill Quality of Life Questionnaire in the palliative care setting: a multi-centre Canadian study demonstrating the importance of the existential domain. Palliat Med 11(1):3–20

    Article  PubMed  Google Scholar 

  32. Cohen SR et al. (1995) The McGill Quality of Life Questionnaire: a measure of quality of life appropriate for people with advanced disease. A preliminary study of validity and acceptability. Palliat Med 9(3):207–219

    Article  CAS  PubMed  Google Scholar 

  33. Bruera E et al. (1991) The Edmonton Symptom Assessment System (ESAS): a simple method for the assessment of palliative care patients. J Palliat Care 7(2):6–9

    CAS  PubMed  Google Scholar 

  34. Ruta DA et al. (1994) A new approach to the measurement of quality of life. The Patient-Generated Index. Med Care 32(11):1109–1126

    Article  CAS  PubMed  Google Scholar 

  35. Hickey AM et al. (1996) A new short form individual quality of life measure (SEIQoL-DW): application in a cohort of individuals with HIV/AIDS. BMJ 313(7048):29–33

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  36. Joyce CR et al. (2003) A theory-based method for the evaluation of individual quality of life: the SEIQoL. Qual Life Res 12(3):275–280

    Article  CAS  PubMed  Google Scholar 

  37. Ruta DA, Garratt AM, Russell IT (1999) Patient centred assessment of quality of life for patients with four common conditions. Qual Health Care 8(1):22–29

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  38. Phantipa Sakthong P (2014) Win Winit-Watjana, MD2, Kobkan Choopan, MSc (Clin Pharm)3, Usefulness of Patient-Generated Index for HIV to measure individual quality of life: a study from Thailand. V A L U E I N H E A L T H R E G I O N A L I S S U E S 3:101–107

    Google Scholar 

  39. Martin F et al. (2007) Twelve years’ experience with the Patient Generated Index (PGI) of quality of life: a graded structured review. Qual Life Res 16(4):705–715

    Article  PubMed  Google Scholar 

  40. Machhin, P.M.F.a.D., Qulaity of life, second edition: the assessment, analysis and interpretation of patients reported outcomes. 2007.

  41. Rodriguez AM, Mayo NE, Gagnon B (2013) Independent contributors to overall quality of life in people with advanced cancer. Br J Cancer 108(9):1790–1800

    Article  CAS  PubMed  Google Scholar 

  42. Bohannon RW, Wang YC, Gershon RC (2015) Two-minute walk test performance by adults 18 to 85 years: normative values, reliability, and responsiveness. Arch Phys Med Rehabil 96(3):472–477

    Article  PubMed  Google Scholar 

  43. Mock V et al. (2007) Cancer-related fatigue. clinical practice guidelines in oncology. J Natl Compr Cancer Netw 5(10):1054–1078

    Google Scholar 

  44. Tavernier SS, Totten AM, Beck SL (2011) Assessing content validity of the patient generated index using cognitive interviews. Qual Health Res 21(12):1729–1738

    Article  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ala’ S Aburub.

Ethics declarations

Funding

This research was supported by a grant from the Terry Fox Research Institute and by the Cancer Research Society/Rob Lutterman Pancreatic Cancer Research Grant. B Gagnon is a recipient of “Chercheur-clinicien Boursier” award from Fond de Recherche Santé Québec, Québec, Canada.

Conflict of interest

The authors declare that they have no conflict of interest.

Informed consent

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. Informed consent was obtained from all individual participants included in the study.

Electronic supplementary material

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Aburub, A.S., Gagnon, B., Rodríguez, A.M. et al. Agreement between personally generated areas of quality of life concern and standard outcome measures in people with advanced cancer. Support Care Cancer 24, 3831–3838 (2016). https://doi.org/10.1007/s00520-016-3204-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00520-016-3204-4

Keywords

Navigation