OBJECTIVE: Health technology assessments (HTAs) intend to inform real-world decisions. They often draw on data from explanatory trials and hence are not always applicable to the decision problem. HTAs may therefore not meet the needs of decision makers. Our objective was to develop and apply a checklist to: 1) systematically frame HTAs in a way that they are applicable to the decision problem; and 2) assess if a decision problem can be informed by an available HTA. METHODS: We reviewed published literature to identify factors that should be considered when framing HTAs for resource allocation decisions. The checklist was finalized in collaboration with clinicians and policy makers. We applied the checklist to the economic evaluation of trastuzumab in early breast cancer. We defined a reference case and for each study, retrieved through a systematic review, we examined if each factor was explicitly considered. RESULTS: A checklist was developed with 11 factors (e.g., clinical practice, consequences, and patient use). In the case of trastuzumab, most factors were considered by the 11 retrieved economic evaluations. Two factors, being the inclusion of all relevant comparators and professional use, were considered by none of the studies. CONCLUSIONS: We developed a comprehensive checklist with 11 factors to frame HTAs and to assess the applicability of HTAs to resource allocation decisions. Economic evaluations on trastuzumab considered some of these factors, but overlooked others. The proposed checklist assists in systematically considering all factors in developing the conceptual model of an HTA, to make HTAs better reflect the decision problem.
OBJECTIVE: Health technology assessments (HTAs) intend to inform real-world decisions. They often draw on data from explanatory trials and hence are not always applicable to the decision problem. HTAs may therefore not meet the needs of decision makers. Our objective was to develop and apply a checklist to: 1) systematically frame HTAs in a way that they are applicable to the decision problem; and 2) assess if a decision problem can be informed by an available HTA. METHODS: We reviewed published literature to identify factors that should be considered when framing HTAs for resource allocation decisions. The checklist was finalized in collaboration with clinicians and policy makers. We applied the checklist to the economic evaluation of trastuzumab in early breast cancer. We defined a reference case and for each study, retrieved through a systematic review, we examined if each factor was explicitly considered. RESULTS: A checklist was developed with 11 factors (e.g., clinical practice, consequences, and patient use). In the case of trastuzumab, most factors were considered by the 11 retrieved economic evaluations. Two factors, being the inclusion of all relevant comparators and professional use, were considered by none of the studies. CONCLUSIONS: We developed a comprehensive checklist with 11 factors to frame HTAs and to assess the applicability of HTAs to resource allocation decisions. Economic evaluations on trastuzumab considered some of these factors, but overlooked others. The proposed checklist assists in systematically considering all factors in developing the conceptual model of an HTA, to make HTAs better reflect the decision problem.
Authors: Michael J Zoratti; A Simon Pickard; Peep F M Stalmeier; Daniel Ollendorf; Andrew Lloyd; Kelvin K W Chan; Don Husereau; John E Brazier; Murray Krahn; Mitchell Levine; Lehana Thabane; Feng Xie Journal: Eur J Health Econ Date: 2021-04-11
Authors: Zoltán Kaló; Adrian Gheorghe; Mirjana Huic; Marcell Csanádi; Finn Boerlum Kristensen Journal: Health Econ Date: 2016-01-14 Impact factor: 3.046