This concluding chapter reflects on the potential and challenges of implementing person-reported outcome measures (PROMs) and experience measures (PREMs) in healthcare. Despite their promise, several issues have hindered their full realization. Effective measurement of healthcare outcomes requires addressing conflicting stakeholder objectives, ensuring methodological rigor, and aligning measures with service goals. The chapter revisits the taxonomy of six high-level aims: quality of life, individual care, community impact, care provided, provider culture, and innovation. Key quality criteria for PROMs and PREMs—brevity, clarity, relevance, psychometric robustness, and sensitivity to change—are outlined to improve practical application. Lessons emphasise the importance of clear planning, patient-friendly survey methods, integrated data collection, and balancing anonymity with clinical needs. The chapter highlights the divergent outcomes of two valuation models: QALY, which prioritizes life extension, and the Load model, which emphasizes suffering reduction. By addressing these challenges, healthcare providers can optimize PROMs and PREMs to achieve better outcomes and patient-centred care.

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Conclusions

  • Tim Benson

摘要

This concluding chapter reflects on the potential and challenges of implementing person-reported outcome measures (PROMs) and experience measures (PREMs) in healthcare. Despite their promise, several issues have hindered their full realization. Effective measurement of healthcare outcomes requires addressing conflicting stakeholder objectives, ensuring methodological rigor, and aligning measures with service goals. The chapter revisits the taxonomy of six high-level aims: quality of life, individual care, community impact, care provided, provider culture, and innovation. Key quality criteria for PROMs and PREMs—brevity, clarity, relevance, psychometric robustness, and sensitivity to change—are outlined to improve practical application. Lessons emphasise the importance of clear planning, patient-friendly survey methods, integrated data collection, and balancing anonymity with clinical needs. The chapter highlights the divergent outcomes of two valuation models: QALY, which prioritizes life extension, and the Load model, which emphasizes suffering reduction. By addressing these challenges, healthcare providers can optimize PROMs and PREMs to achieve better outcomes and patient-centred care.