Article type
Abstract
Background: Common decision-making frameworks or models include: Evidence and Value: Impact on Decision Making (EVIDEM framework), Multi-criteria Decision Model (MDCA), EUnetHTA (HTACM), INTEGRATE HTA (IHTAM), etc. Health technology assessment can provide decision-makers with scientific information and decision-making basis for rational selection of health technology, but it is still in the embryonic stage. In the future, it is necessary to strengthen the emphasis on evidence-based decision-making models or frameworks, promote their application, and promote the development of health technology assessment.
Objective: To evaluate the effectiveness of decision-making frameworks and models in health technology assessment.
Methods: Web of Science and CNKI databases were systematically searched to collect complete HTA reports. The search language was limited to Chinese or English and included all articles published from inception to January 2023. Two independent reviewers conducted the study selection and data coding manually, and any disagreements were discussed with a third reviewer. Data extraction included: year of publication, country of the corresponding author, source of funding, subject of the study, study objectives, content (safety,efficacy,economy, social adaptability) of HTA, and whether an evidence-based decision-making model or framework was employed.
Results: Of the 4119 articles identified, 214 met the inclusion criteria (158 in Chinese and 58 in English). Considering the content of the assessment, 202 assessed the effectiveness of health innovations, 185 assessed their safety, 184 assessed their economic viability, and 37 assessed their social adaptability. (1) Only thirteen using decision-making framework or model (decisional-tree model, HTACM, EUnetHTA, and et.al), (2)five using the HTA core model,which is the most used, four applied decisional-tree model,two applied Markov model, and two not reporting the name of decision-making model used.
Conclusion: Decision-making frameworks or models are not yet widely used in HTAs. Compared with all decision models/frameworks, HTACM model is more widely used. In future HTA production, it is recommended that other models or frameworks be applied to increase the scientific validity of HTAs.
Objective: To evaluate the effectiveness of decision-making frameworks and models in health technology assessment.
Methods: Web of Science and CNKI databases were systematically searched to collect complete HTA reports. The search language was limited to Chinese or English and included all articles published from inception to January 2023. Two independent reviewers conducted the study selection and data coding manually, and any disagreements were discussed with a third reviewer. Data extraction included: year of publication, country of the corresponding author, source of funding, subject of the study, study objectives, content (safety,efficacy,economy, social adaptability) of HTA, and whether an evidence-based decision-making model or framework was employed.
Results: Of the 4119 articles identified, 214 met the inclusion criteria (158 in Chinese and 58 in English). Considering the content of the assessment, 202 assessed the effectiveness of health innovations, 185 assessed their safety, 184 assessed their economic viability, and 37 assessed their social adaptability. (1) Only thirteen using decision-making framework or model (decisional-tree model, HTACM, EUnetHTA, and et.al), (2)five using the HTA core model,which is the most used, four applied decisional-tree model,two applied Markov model, and two not reporting the name of decision-making model used.
Conclusion: Decision-making frameworks or models are not yet widely used in HTAs. Compared with all decision models/frameworks, HTACM model is more widely used. In future HTA production, it is recommended that other models or frameworks be applied to increase the scientific validity of HTAs.