To address local workability, cross-setting variation, and clinician and patient perspectives, health technology assessment (HTA) practitioners and health system decision-makers incorporate varying forms of qualitative evidence into evaluations of novel health technologies. Employing principles and methods from long-established sociotechnical fields such as participatory design (PD) may help HTA teams in the production of formal, rigorous ‘practice-based evidence’.

We draw on a theoretical review of foundational PD literature and experiences using PD for a large-scale health information technology project to summarize principles and strategies for the effective introduction and evaluation of new technologies in healthcare.

HTA may benefit from observing some of the core commitments of PD: (i) Ensuring that technologies enhance rather than detract from the quality of working life; (ii) Fostering democratic engagement in the implementation and evaluation of technologies; and (iii) Proceeding via direct partnership with technology users. These are practical commitments stemming from the recognition that technology implementation entails re-configuring existing practices and social arrangements. The experts of this existing milieu are the people on the ground, who may reject or underutilize technologies that they perceive as impractical, ill-adapted to their needs, or having negative consequences on their work. At the same time, PD recognizes that local activities occur within larger systems and that effective technology introduction also requires attention to macro-politics (e.g. governance challenges, competing priorities). PD employs a diversity of methods (e.g. participant observation, focus groups, workshops, interviews) to develop evidence that is holistically informed.

Many of the challenges that HTA faces, both in terms of evidence production and translation, have been encountered before in PD. Given that decision-making around health technologies necessarily involves consideration of many forms of qualitative evidence, there is value in producing and evaluating such evidence in carefully designed manner – a challenge to which fields like PD can lend a wealth of experience.