“Access to treatment before and after Medicare coverage of opioid treatment programs”
Ruijie Liu (first and corresponding author), Tamara Beetham, Helen Newton, Susan H Busch
Health Affairs Scholar, 2024
https://doi.org/10.1093/haschl/qxae076
Abstract
Since January 2020, Medicare has covered opioid use disorder (OUD) treatment services at opioid treatment programs (OTPs), the only outpatient settings allowed to dispense methadone for treating OUD. This study examined policy-associated changes in Medicare acceptance and the availability of four OUD treatment services (ongoing buprenorphine, HIV/AIDS education, employment services, and comprehensive mental health assessment), by for-profit status, and county-level changes in Medicare-accepting-OTPs access, by sociodemographic characteristics (racial composition, poverty rate, and rurality). Using data from the 2019-2022 National Directory of Drug and Alcohol Abuse Treatment Facilities, we found Medicare acceptance increased from 21.31% in 2018 to 80.76% in 2021. The availability of the four treatment services increased, but no increases were significantly associated with Medicare coverage. While county-level OTP access significantly improved, counties with higher rates of non-White residents experienced an additional average increase of 0.86 Medicare-accepting-OTPs (95% CI, 0.05–1.67) compared to those without higher rates of non-White populations. Overall, Medicare coverage was associated with improved OTP access, not ancillary services.
“Could the EQ-5D-3L predict all-cause mortality in older Chinese? Evidence from a 5-year longitudinal study in eastern China”
Chen-Wei Pan, Rui-Jie Liu (co-first author), Xue-Jiao Yang, Qing-Hua Ma, Yong Xu, Nan Luo, Pei Wang
Quality of Life Research, 2021
https://doi.org/10.1007/s11136-021-02883-5
Abstract
To assess the ability of the 3-level EQ-5D (i.e., EQ-5D-3L) in predicting all-cause mortality in older Chinese adults. The data were from a 5-year longitudinal study, Weitang Geriatric Diseases Study, including 4579 community-dwelling older people in eastern China, with the mean age of 72.5 years at baseline and female being 52.0%. Three multivariable logistic regression models were adopted to assess the associations of the baseline EQ-5D data [i.e., the EQ-5D problems, EQ-5D-3L index score, and EQ-5D visual analog scale (VAS) score] with the 5-year all-cause mortality, adjusting for socio-demographic characteristics, and subsequently, health conditions and lifestyle habits. A total of 183 participants died over the 5-year study period. A larger proportion of the dead reported problems in physical dimensions (i.e., including three dimensions: mobility, self-care, and usual activities, p < 0.05 for all). The mean EQ-5D index score (0.928) and EQ-VAS score (79.7) of the living were higher than those of the dead (0.915 and 73.2, p < 0.05 for both). In multivariable logistic analyses, the EQ-5D health problems in the physical-related dimensions [odds ratio (OR) 2.16, p < 0.05] and the EQ-VAS score (OR: 0.97, p < 0.001) were associated with the 5-year all-cause mortality when adjusting for socio-demographic characteristics, health conditions, and lifestyle habits. It appears that the EQ-5D-3L could predict mortality in general older Chinese, which could be used to detect high-risk older individuals in China.
“How the EQ-5D utilities are derived matters in Chinese diabetes patients: a comparison based on different EQ-5D scoring functions for China”
Chen-Wei Pan, Ruo-Yu Zhang, Nan Luo, Jun-Yi He, Rui-Jie Liu, Xiao-Hua Ying, Pei Wang
Quality of Life Research, 2020
https://doi.org/10.1007/s11136-020-02551-0
Abstract
In China, multiple approaches to calculating EQ-5D utilities are available, including the two EQ-5D-3L (3L2014 and 3L2018) scoring functions, the EQ-5D-5L (5L) scoring function, and the crosswalk function linking the 3L utilities and 5L health states. The study compared utilities derived from them in terms of agreement and discriminative power; and assessed whether the use of different approaches may affect QALY estimation in Chinese type 2 diabetes (T2D) patients. Cross-sectional data of 289 T2D patients who self-completed both the 5L and 3L questions were used. Agreement were examined using intraclass correlation coefficient (ICC) and Bland–Altman plots. The ability of the EQ-5D utilities in differentiating the patients with and without clinical conditions was evaluated using F-statistics. Their influence on QALY estimation was assessed adopting mean absolute difference (MAD) in utility values between the patients. The ICC values were 0.881 (3L2014-3L2018), 0.958 (5L-c5L2014), and 0.806 (5L-c5L2018). The two 3L utilities and the three 5L utilities had poor agreement at the lower end of utility scale according to Bland–Altman plots. The 3L2018 utilities had lower F-statistics compared to the 3L2014 utilities; the two c5L utilities had larger or similar F-statistics compared to the 5L utilities. The mean MADs were 0.138 (5L), 0.116 (3L2014), 0.115 (c5L2014), 0.055 (c5L2018), and 0.055 (3L2018). The 3L2014 utilities is more discriminative than the 3L2018 utilities; and the two c5L utilities have no worse discriminative power compared with the 5L utilities. The choice of the approach to calculating the EQ-5D utilities is likely to affect QALY estimates.