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Patient and Public Involvement (PPI) in Health Economics Methodology Research: Reflections and Recommendations

Author

Listed:
  • Hareth Al-Janabi

    (University of Birmingham)

  • Jenny Coles

    (University of Birmingham)

  • John Copping

    (University of Birmingham)

  • Nishit Dhanji

    (University of Birmingham)

  • Carol McLoughlin

    (University of Birmingham)

  • Jacky Murphy

    (University of Birmingham)

  • Jean Nicholls

    (University of Birmingham)

Abstract

Patient and public involvement (PPI) can be used in methods research, as well as applied research, in health economics. However, methods research goals may seem quite abstract when compared to the lived experiences of lay participants. This article draws on 4 years of PPI in a research project to develop methods for including family carer outcomes in economic evaluation. Key challenges in using PPI for health economics methods research relate to (1) training and preparation, (2) maintaining involvement, and (3) selecting suitable tasks. We suggest three criteria for selecting a research task for PPI input based on task importance, professional researcher skills gap, and potential PPI contribution.

Suggested Citation

  • Hareth Al-Janabi & Jenny Coles & John Copping & Nishit Dhanji & Carol McLoughlin & Jacky Murphy & Jean Nicholls, 2021. "Patient and Public Involvement (PPI) in Health Economics Methodology Research: Reflections and Recommendations," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 14(4), pages 421-427, July.
    • Handle: RePEc:spr:patien:v:14:y:2021:i:4:d:10.1007_s40271-020-00445-4
    DOI: 10.1007/s40271-020-00445-4
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    References listed on IDEAS

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    1. Ilene L. Hollin & Benjamin M. Craig & Joanna Coast & Kathleen Beusterien & Caroline Vass & Rachael DiSantostefano & Holly Peay, 2020. "Reporting Formative Qualitative Research to Support the Development of Quantitative Preference Study Protocols and Corresponding Survey Instruments: Guidelines for Authors and Reviewers," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 13(1), pages 121-136, February.
    2. Jonathan Karnon, 2003. "Alternative decision modelling techniques for the evaluation of health care technologies: Markov processes versus discrete event simulation," Health Economics, John Wiley & Sons, Ltd., vol. 12(10), pages 837-848, October.
    3. Elizabeth Goodwin & Kate Boddy & Lynn Tatnell & Annie Hawton, 2018. "Involving Members of the Public in Health Economics Research: Insights from Selecting Health States for Valuation to Estimate Quality-Adjusted Life-Year (QALY) Weights," Applied Health Economics and Health Policy, Springer, vol. 16(2), pages 187-194, April.
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