FRAM Visualisations

Evidence quality

Highlighted claims

• A total of 113 FRAM visualisations appeared across the 68 included papers, with 104 being sufficiently clear to allow coupling analysis. — Building a functional resonance analysis method (FRAM) in healthcare: a systematic review on how steps are reported, defined and supported by data
• The review found a mean of 22.7 functions per visualisation (SD=14.7), providing approximate empirical support for a 20-function ceiling while also showing wide variability. — Building a functional resonance analysis method (FRAM) in healthcare: a systematic review on how steps are reported, defined and supported by data
• Only 59% of studies validated their FRAM visualisations with stakeholders, down from 81% in an earlier review of 16 studies. — Building a functional resonance analysis method (FRAM) in healthcare: a systematic review on how steps are reported, defined and supported by data
• The prior proposal that FRAM visualisations in healthcare should not exceed 20 functions was made without empirical evidence. — Building a functional resonance analysis method (FRAM) in healthcare: a systematic review on how steps are reported, defined and supported by data
• The high standard deviation in function counts indicates the 20-function guideline is widely violated, and better reporting of scoping decisions is needed. — Building a functional resonance analysis method (FRAM) in healthcare: a systematic review on how steps are reported, defined and supported by data
• Whether the decline in stakeholder validation rates reflects a genuine change in practice or a sample-size artefact is unclear. — Building a functional resonance analysis method (FRAM) in healthcare: a systematic review on how steps are reported, defined and supported by data