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. 2021 Sep 21;4(2):36364. doi: 10.33137/cpoj.v4i2.36364

Table 3:

Typical strengths and weaknesses of the early, preliminary, and full cost-utility analyses (CUA) of prosthetic care innovations.

Strengths Weaknesses
Full CUA
  • Address strongly all 27 CHEERS items

  • Capable to address all 19 CHEC items

  • Comprehensive list of scenarios

  • Scalable time horizon

  • Strong understanding of uncertainty

  • Strong understanding of sensibility

  • High level of evidence

  • Strong recommendations

  • Need of primary costs and utilities data

  • Require substantial resources

  • Lack of timeliness

Preliminary CUA
  • Address strongly 37% of CHEER items

  • Capable to address 58% of CHEC items

  • Timeliness of information

  • Identify evidence gaps

  • Provide headroom for improvement

  • Capable to generate primary data

  • Educate design of full CUAs

  • Fast-track approval

  • Address weakly 33% of CHEER items

  • Uncapable to address 42% of CHEC items

  • Variability of resources required

  • Build around substantial assumptions

  • Rely on best-known evidence

  • Consider narrow perspective

  • Consider plausible scenarios,

  • Consider mid-term time horizon

  • Mismatch costs and utilities data

  • Limited understanding of uncertainty

  • Limited understanding of sensitivity

  • Moderate level of evidence

  • Moderate strength of recommendations

Early CUA
  • Address strongly 30% of CHEER items

  • Capable to address 53% of CHEC items

  • Require little resources

  • Timeliness of information

  • Early insights into product viability

  • Early insights into clinical worthiness

  • Identify evidence gaps

  • Provide headroom for improvement

  • Educate design of preliminary CUAs

  • Facilitate fast-track approval

  • Address weakly 56% of CHEER items

  • Uncapable to address 47% of CHEC items

  • Build around substantial assumptions

  • Rely on best-known evidence

  • Consider narrow perspective

  • Consider hypothetical scenarios,

  • Consider short-term time horizon

  • Rely of expected costs and utilities data

  • Low understanding of uncertainty

  • Low understanding of sensitivity

  • Low level of evidence

  • Low strength of recommendations