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First person epidemiological measures: vehicles for patient centered care

  • S.I.: Philosophy of Epidemiology
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Abstract

Since the 1970’s epidemiological measures focusing on “health-related quality of life” or simply “quality of life” have figured increasingly as endpoints in clinical trials. Before the 1970’s these measures were known, generically, as performance measures or health status measures. Relabeled as “quality of life measures” they were first used in cancer trials. In the early 2000’s they were relabeled again as “patient-reported outcome measures” or PROMs, in their service to the FDA to support drug labeling claims. To the limited degree that the philosophical literature addresses these measures, it tends to associate them with two major theories of well-being: subjective well-being and the capabilities approach. In this paper, I argue that philosophers ought to treat quality of life measures/PROMs as a distinct from these theories. I argue that quality of life/PROMs serve healthcare as vehicles for patient-centered care and this has important consequences for how we theorize these measures. To this end, two requirements set them apart from measures of subjective well-being and the capabilities approach: quality of life/PROMs need to be patient-directed and inclusive.

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Notes

  1. To be clear, I am not suggesting that measures of quality of life/PROMs are independent from questions about well-being, i.e., how well life is going for a population of people. On the contrary, quality of life/PROMs are, in a general sense, quite obviously concerned with how life is going for patients. But I do not think that much follows, theoretically, from this acknowledgement.

  2. For a discussion of how, in practice, the capability approach applied to quality of life/PROMs tends to conflate functionings with disability and chronic illness see (McClimans 2010a).

  3. For a philosophical discussion of this issue see (McClimans 2010b, 2011).

References

  • Alexandrova, A. (2017). A philosophy for the science of well-being. Oxford: Oxford University Press.

    Google Scholar 

  • Angner, E. (2011). The evolution of eupathics: The historical roots of subjective measures of wellbeing. International Journal of Wellbeing, 1, 4–41.

    Google Scholar 

  • Barclay-Goddard, R., Epstein, J. D., & Mayo, N. E. (2009). Response shift: A brief overview and proposed research priorities. Quality of Life Research, 18, 335–346.

    Google Scholar 

  • Black, N. (2013). Patient reported outcome measures could transform healthcare. British Medical Journal, 346, f167.

    Google Scholar 

  • Brock, D. (1993). Quality of life measures in health care and medical ethics. In M. C. Nussbaum & A. Sen (Eds.), The quality of life (pp. 95–132). Oxford: Clarendon Press.

    Google Scholar 

  • Browne, J. P., McGee, H. M., & O’Boyle, C. A. (1997). Conceptual approaches to the assessment of quality of life. Psychology & Health, 12, 737–751.

    Google Scholar 

  • Carr, A. J., & Higginson, I. J. (2001). Are quality of life measures patient centred? British Medical Journal, 322, 1357–1360.

    Google Scholar 

  • Crocker, T. F., Smith, J. K., & Skevington, S. M. (2015). Family and professionals underestimate quality of life across diverse cultures and health conditions: Systematic review. Journal of Clinical Epidemiology, 68, 584–595.

    Google Scholar 

  • Darzi, L. (2008). High quality care for all: NHS next stage review, final report. London: The Stationary Office.

    Google Scholar 

  • Deiner, E., Suh, E. M., Lucas, R. E., & Smith, H. L. (1999). Subjective well-being: Three decades of progress. Psychological Bulletin, 125, 276–302.

    Google Scholar 

  • Devlin, N., & Appleby, J. (2010). Getting the most out of PROMs: Putting health outcomes at the heart of NHS decision-making. London: The King’s Fund.

    Google Scholar 

  • Druss, B. G., & Marcus, B. C. (2005). Growth and decentralization of the medical literature: Implications for evidence-based medicine. Journal of the Medical Library Association, 93, 499–501.

    Google Scholar 

  • Faden, R. R., & Beauchamp, T. L. (1986). A history and theory of informed consent (pp. 53–100). Oxford: Oxford University Press.

    Google Scholar 

  • Fayers, P. M., & Machin, D. (2002). Quality of life: Assessment, analysis and interpretation. New Jersey: Wiley.

    Google Scholar 

  • Fayers P, Bottomley A on behalf of the EORTC Qualty of Life Group and the Quality of Life Unit. (2002). Quality of life research within the EORTC—EORTC QLQ-C30. European Journal of Cancer, 38, 125–133.

    Google Scholar 

  • Guyatt, G. H., Feeny, D. H., & Patrick, D. L. (1993). Measuring health-related quality of life. Annals of Internal Medicine, 118, 622–629.

    Google Scholar 

  • Health Services and Research Outcomes (HSRO) Subcommittee of the Radiation Therapy Oncology Group (RTOG), Spitzer Quality of Life Index. https://www.rtog.org/Researchers/QOLPROMaterials/Library.aspx. Accessed 14 April 2018.

  • Institute of Medicine. (2001). Crossing the quality chasm: A new health system for the 21st Century. Washington, DC: National Academy Press.

    Google Scholar 

  • Karnofsky, D. A., & Burchenal, J. H. (1949). The clinical evaluation of chemotherapeutic agents in cancer. In C. M. MacLeod (Ed.), Evaluation of chemotherapeutic agents (p. 196). New York: Columbia Press.

    Google Scholar 

  • Leplège, A., & Hunt, S. (1997). The problem of quality of life in medicine. Journal of the American Medical Association, 278, 47–50.

    Google Scholar 

  • Loscalzo, M. J. (2008). Palliative care: An historical perspective. Hematology, 1, 465.

    Google Scholar 

  • McClimans, L. (2010a). Towards self-determination in quality of life research. Medicine, Health Care and Philosophy, 13, 67–76.

    Google Scholar 

  • McClimans, L. (2010b). A theoretical framework for patient-reported outcome measures. Theoretical Medicine and Bioethics, 31, 225–240.

    Google Scholar 

  • McClimans, L. (2011). Interpretability, validity and the minimum important difference. Theoretical Medicine and Bioethics, 32, 389–401.

    Google Scholar 

  • McClimans, L. (2017). Measurement in medicine and beyond: Quality of life, blood pressure and time. In A. Nordmann & N. Mößner (Eds.), Reasoning in measurement (pp. 133–146). New York: Routledge.

    Google Scholar 

  • McClimans, L., & Browne, J. (2012). Quality of life is a process not an outcome. Theoretical Medicine and Bioethics, 33, 279–292.

    Google Scholar 

  • McClimans, L., Browne, J., & Cano, S. (2017). Clinical outcome measurement: Models, theory, psychometrics and practice. Studies in the History and Philosophy of Science, 65, 67–73.

    Google Scholar 

  • McClimans, L., Westerman, M., Bickenbach, J., Carlson, L., Wasserman, D., & Schwartz, C. (2012). Philosophical perspectives on response shift. Quality of Life Research, 22, 1871–1878.

    Google Scholar 

  • McHorney, C. A., & Tarlov, A. R. (1995). Individual-patient monitoring in clinical practice: Are available health status surveys adequate? Quality of Life Research, 4, 293–307.

    Google Scholar 

  • Mukherjee, S. (2010). The emperor of all Maladies. New York: Scribner.

    Google Scholar 

  • O’Boyle, C. A., McGee, H. M., Hickey, A., Joyce, C. R. B., Browne, J., O’Malley, K., et al. (1993). The schedule for the evaluation of individual quality of life (SEIQoL). Administrative manual. Dublin: Royal College of Surgeons in Ireland.

    Google Scholar 

  • Patel, K. K., Veestra, D. L., & Patrick, D. L. (2003). A review of selected patient-generated outcome measures and their application in clinical trials. Value in Health, 6, 595–603.

    Google Scholar 

  • Paul, L. A. (2014). Transformative experience. Oxford: Oxford University Press.

    Google Scholar 

  • Porter, T. (1996). Trust in numbers. Princeton: Princeton University Press.

    Google Scholar 

  • Pusic, A. L., Klassen, A. F., Scott, A. M., Klok, J. A., Cordeiro, P. G., & Cano, S. J. (2009). Development of a new patient-reported outcome measure for breast surgery: The BREAST-Q. Plastic Reconstructive Surgery, 124, 345–353.

    Google Scholar 

  • Rapkin, B. D., Garcia, I., Michael, W., Zhang, J., & Schwartz, C. E. (2017). Distinguishing appraisal and personality influences on quality of life in chronic illness: Introducing the quality-of-life Appraisal Profile version 2. Quality of Life Research, 26, 2815–2829.

    Google Scholar 

  • Rapkin, B. D., & Schwartz, C. E. (2004). Toward a theoretical model of quality of life appraisal: Implications of findings from studies of response shift. Health and Quality of Life Outcomes, 15, 14.

    Google Scholar 

  • Rothman, D. J. (1992). Strangers at the bedside a history of how law and bioethics transformed medical decision making. New York: Basic Books.

    Google Scholar 

  • Rothman, M., Burke, L., Erickson, P., Leidy, N. K., Patrick, D. L., & Petrie, C. D. (2009). Use of existing patient-reported outcome (PRO) instruments and their modification: The ISPOR Good Research Practices for evaluating and documenting content validity for the use of existing instruments and their modification PRO Task Force Report. Value in Health, 12, 1075–1083.

    Google Scholar 

  • Ruta, D. A., Garratt, A. M., Leng, M., Russell, I. T., & MacDonald, L. M. (1994). A new approach to the measurement of quality of life. The Patient-Generated Index. Medical Care, 32, 1109–1126.

    Google Scholar 

  • Schwartz, C. E., & Rapkin, B. D. (2004). Reconsidering the psychometrics of quality of life assessment in light of response shift and appraisal. Health and Quality of Life Outcomes, 15, 16.

    Google Scholar 

  • Sen, A. (1993). Capability and well-being. In M. C. Nussbaum & A. Sen (Eds.), The quality of life (pp. 30–53). Oxford: Clarendon Press.

    Google Scholar 

  • Sprangers, M., & Schwartz, C. (1999). Integrating response shift into health-related quality of life research: A theoretical model. Social Science and Medicine, 48, 1507–1515.

    Google Scholar 

  • Tang, J. A., Oh, T., Scheer, J. K., & Parsa, A. T. (2014). The current trend of administering a patient-generated oncological setting: A systematic review. Oncology Reviews, 8, 245.

    Google Scholar 

  • Timmerman, C. (2012). Just give me the best quality of life questionnaire: The Karnofsky scale and the history of quality of life measurements in cancer trials. Chronic Illness, 9, 179–190.

    Google Scholar 

  • Timmermans, S., & Berg, M. (2003). The gold standard: The challenge of evidence-based medicine and standardization in health care. Philadelphia: Temple University Press.

    Google Scholar 

  • Trujols, J., & Portella, M. (2013). Not all PROMs reflect patients’ perspectives. British Medical Journal, 346, f1552.

    Google Scholar 

  • US Food and Drug Administration. (2009). Guidance for industry on patient-reported outcomes measures: Use in medicinal product development to support labeling claims. Federal Register, 74, 1–43.

    Google Scholar 

  • van Loon, M. S., van Leeuwen, K. M., Ostelo, R. W. J. G., Bosmans, J. E., & Widdershover, G. A. M. (2018). Quality of life in a broader perspective: Does ASCOT reflect the capability approach? Quality of Life Research, 27, 1181–1189.

    Google Scholar 

  • Verkerk, M. A., Busschbach, J. J. V., & Karssing, E. D. (2001). Health-related quality of life research and the capability approach of Amartya Sen. Quality of Life Research, 10, 49–55.

    Google Scholar 

  • Wiering, B., de Boer, D., & Delnoij, D. (2017). Patient involvement in the development of patient-reported outcome measures: The developers’ perspective. BMC Health Services Research, 17, 635.

    Google Scholar 

  • Wu, A. W., Snyder, C., Clancy, C. M., & Steinwachs, D. M. (2010). Adding the patient perspetive to comparative effectiveness research. Health Affairs, 29, 1863–1871.

    Google Scholar 

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Acknowledgements

I’d like to thank the anonymous reviewers who helped to make this paper sharper and more intelligible. Also thank you to the editors of this special issue, Sean Valles and Jonathan Kaplan for being so helpful and patient. All errors or infelicities are my own.

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Correspondence to Leah M. McClimans.

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McClimans, L.M. First person epidemiological measures: vehicles for patient centered care. Synthese 198 (Suppl 10), 2521–2537 (2021). https://doi.org/10.1007/s11229-019-02094-z

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