Background Understanding policymakers'value judgements in reimbursement decisions is essential for promoting equity and guiding informed healthcare decision-making.This study aimed to estimate and compare Chinese ...Background Understanding policymakers'value judgements in reimbursement decisions is essential for promoting equity and guiding informed healthcare decision-making.This study aimed to estimate and compare Chinese policymakers'willingness-to-pay(WTP)per quality-adjusted life year(QALY)specifically in end-of-life treatment scenarios involving life-threatening common and rare diseases.Methods We conducted a contingent valuation study employing single-bounded dichotomous-choice questions among 120 experts formally appointed by China's National Healthcare Security Administration to serve on the National Reimbursement Drug List Expert Committee in recent years.Participants evaluated hypothetical scenarios describing end-of-life treatments providing a one-QALY gain for patients with life-threatening common or rare diseases.Data were collected primarily through face-to-face interviews,supplemented by online responses when inperson meetings were impractical.Statistical analysis was performed using probit regression models,and t-tests were conducted to compare WTP values between scenarios.Results A total of 99 policymakers participated.Participants'WTP per QALY for end-of-life treatments in common disease scenarios ranged from CNY 78,031(0.98 times GDP per capita)to CNY 126,449(1.58 times GDP per capita).In contrast,WTP was significantly higher for rare diseases,ranging from CNY 183,392(2.29 times GDP per capita)to CNY 219,691(2.75 times GDP per capita).Analysis of individual characteristics revealed that female participants and those with expertise in pharmacoeconomics exhibited significantly higher WTP values in common disease scenarios(p<0.05),though these factors had varied effects in rare disease scenarios.Conclusions This study provides novel estimates of Chinese policymakers'WTP per QALY specifically in end-of-life contexts involving common and rare diseases,highlighting the significant impact of disease rarity on reimbursement decisions.These findings offer empirical support for adopting differentiated cost-effectiveness thresholds tailored to end-of-life treatments based on disease rarity in China.展开更多
To quantify physicians'risk and time preferences and explore the association between the preferences and their willingness to detect and disclose secondary findings(SFs)derived from genome-scale sequencing.We desi...To quantify physicians'risk and time preferences and explore the association between the preferences and their willingness to detect and disclose secondary findings(SFs)derived from genome-scale sequencing.We designed a webbased survey incorporating a multiple price list(MPL)as the instrument for risk and time preference measurement.The estimation was under the expected utility theory(EUT)and rank dependent utility(RDU)frameworks,respectively.The isoelastic and power function utility models were applied.We received responses from 87 physicians,among whom 46 completed the questionnaire(a completion rate of 52.9%).We observed positive risk-aversion coefficients under EUT(0.33,95%CI 0.15-0.51)and RDU(0.51,95%CI 0.32-0.71),suggesting that physicians were generally risk-averse.Respondents were likely to underestimate probabilities of low to moderate levels,and slightly overestimate high-level probabilities.Physicians supporting the detection and disclosure of SFs had a larger risk-aversion coefficient and a smaller discounting parameter than the non-supporters,suggesting that they were more risk-averse and discounted future utility less.Assuming heterogeneous risk perception,we found respondents underestimated low/moderate risk and slightly overestimated high risk.This study indicates that physicians who are risk-averse and discount future utility slightly are willing to detect and return SFs.The findings contribute to the debate surrounding SF disclosure and generate implications for shared decision-making in clinical genome-scale sequencing.展开更多
China’s healthcare reform faces significant hurdles like inefficient medical insurance fund utilization,imbalanced medical resource distribution,and limited innovation in biopharmaceuticals,necessitating smarter tech...China’s healthcare reform faces significant hurdles like inefficient medical insurance fund utilization,imbalanced medical resource distribution,and limited innovation in biopharmaceuticals,necessitating smarter technological interventions.This article assesses the impact of smart healthcare in China’s reform agenda.Innovative payment methods like Diagnosis-Related Group(DRG)and Disease Group Payment(DIP),bolstered by big data,have reduced patient burdens.Digitization in medical services has streamlined processes,improved patient experiences,and tackled regional resource disparities.Technologies such as artificial intelligence have accelerated drug development,boosting efficiency and precision.Yet,smart healthcare encounters challenges.To address these,the article suggests enhancing top-level design for technology standards,ensuring secure data sharing,advancing health technology assessments,and nurturing skilled personnel in smart technology.展开更多
基金financially supported through internal funding provided by the Shanghai Health Development Research Center.
摘要Background Understanding policymakers'value judgements in reimbursement decisions is essential for promoting equity and guiding informed healthcare decision-making.This study aimed to estimate and compare Chinese policymakers'willingness-to-pay(WTP)per quality-adjusted life year(QALY)specifically in end-of-life treatment scenarios involving life-threatening common and rare diseases.Methods We conducted a contingent valuation study employing single-bounded dichotomous-choice questions among 120 experts formally appointed by China's National Healthcare Security Administration to serve on the National Reimbursement Drug List Expert Committee in recent years.Participants evaluated hypothetical scenarios describing end-of-life treatments providing a one-QALY gain for patients with life-threatening common or rare diseases.Data were collected primarily through face-to-face interviews,supplemented by online responses when inperson meetings were impractical.Statistical analysis was performed using probit regression models,and t-tests were conducted to compare WTP values between scenarios.Results A total of 99 policymakers participated.Participants'WTP per QALY for end-of-life treatments in common disease scenarios ranged from CNY 78,031(0.98 times GDP per capita)to CNY 126,449(1.58 times GDP per capita).In contrast,WTP was significantly higher for rare diseases,ranging from CNY 183,392(2.29 times GDP per capita)to CNY 219,691(2.75 times GDP per capita).Analysis of individual characteristics revealed that female participants and those with expertise in pharmacoeconomics exhibited significantly higher WTP values in common disease scenarios(p<0.05),though these factors had varied effects in rare disease scenarios.Conclusions This study provides novel estimates of Chinese policymakers'WTP per QALY specifically in end-of-life contexts involving common and rare diseases,highlighting the significant impact of disease rarity on reimbursement decisions.These findings offer empirical support for adopting differentiated cost-effectiveness thresholds tailored to end-of-life treatments based on disease rarity in China.
摘要To quantify physicians'risk and time preferences and explore the association between the preferences and their willingness to detect and disclose secondary findings(SFs)derived from genome-scale sequencing.We designed a webbased survey incorporating a multiple price list(MPL)as the instrument for risk and time preference measurement.The estimation was under the expected utility theory(EUT)and rank dependent utility(RDU)frameworks,respectively.The isoelastic and power function utility models were applied.We received responses from 87 physicians,among whom 46 completed the questionnaire(a completion rate of 52.9%).We observed positive risk-aversion coefficients under EUT(0.33,95%CI 0.15-0.51)and RDU(0.51,95%CI 0.32-0.71),suggesting that physicians were generally risk-averse.Respondents were likely to underestimate probabilities of low to moderate levels,and slightly overestimate high-level probabilities.Physicians supporting the detection and disclosure of SFs had a larger risk-aversion coefficient and a smaller discounting parameter than the non-supporters,suggesting that they were more risk-averse and discounted future utility less.Assuming heterogeneous risk perception,we found respondents underestimated low/moderate risk and slightly overestimated high risk.This study indicates that physicians who are risk-averse and discount future utility slightly are willing to detect and return SFs.The findings contribute to the debate surrounding SF disclosure and generate implications for shared decision-making in clinical genome-scale sequencing.
基金supported by the foundation of China National Health Development Research Center(Grant No.HTGL-202408-101)General Program to Public Hospital Fine Management and Evaluation Research Project of Hospital(Grant No.NIHA23JXH014)Hospital Management Research Fund of Shanghai Hospital Association(Grant No.X2023049).
摘要China’s healthcare reform faces significant hurdles like inefficient medical insurance fund utilization,imbalanced medical resource distribution,and limited innovation in biopharmaceuticals,necessitating smarter technological interventions.This article assesses the impact of smart healthcare in China’s reform agenda.Innovative payment methods like Diagnosis-Related Group(DRG)and Disease Group Payment(DIP),bolstered by big data,have reduced patient burdens.Digitization in medical services has streamlined processes,improved patient experiences,and tackled regional resource disparities.Technologies such as artificial intelligence have accelerated drug development,boosting efficiency and precision.Yet,smart healthcare encounters challenges.To address these,the article suggests enhancing top-level design for technology standards,ensuring secure data sharing,advancing health technology assessments,and nurturing skilled personnel in smart technology.