| Literature DB >> 34368173 |
Wen-Yi Liu1,2,3, Chia-Hsien Hsu4, Ting-Jun Liu5, Pei-En Chen6, Boyuan Zheng2, Ching-Wen Chien2, Tao-Hsin Tung7.
Abstract
Objective: This systematic review aimed to discuss the effects of a zero-markup policy for essential drugs (ZPED) on healthcare costs and utilization in China in the years 2015-2021.Entities:
Keywords: China; healthcare; medical expenditure; systematic review; zero-markup policy
Year: 2021 PMID: 34368173 PMCID: PMC8339310 DOI: 10.3389/fmed.2021.618046
Source DB: PubMed Journal: Front Med (Lausanne) ISSN: 2296-858X
Search strategy in PubMed up until 31th May 2021 (similar search run in other databases).
| 1 “Pharmaceutical*” [Title/Abstract] |
| 2 “Drug*” [Title/Abstract] |
| 3 “Medicine*” [Title/Abstract] |
| 4 1 OR 2 OR 3 |
| 5 “Zero” [Title/Abstract] |
| 6 “Markup” [Title/Abstract] |
| 7 “Mark-up” [Title/Abstract] |
| 8 6 OR 7 |
| 9 “China” [Title/Abstract] |
| 10 4 AND 5 AND 8 AND 9 |
Quality assessment of included studies using the Newcastle-Ottawa Scale (NOS).
| Zhou et al. 2015 ( | ⋆ | ⋆ | ⋆ | ⋆ | ⋆⋆ | ⋆ | ⋆ | 8 | |
| Zhou et al. 2015 ( | ⋆ | ⋆ | ⋆ | ⋆ | ⋆⋆ | ⋆ | ⋆ | 8 | |
| Tian et al. 2016 ( | ⋆ | ⋆ | 2 | ||||||
| Wei et al. 2017 ( | ⋆ | ⋆ | ⋆ | ⋆⋆ | ⋆ | 6 | |||
| Yang et al. 2017 ( | ⋆ | ⋆ | ⋆ | 3 | |||||
| Fu et al. 2018 ( | ⋆ | ⋆ | ⋆⋆ | ⋆ | 5 | ||||
| He et al. 2018 ( | ⋆ | ⋆ | ⋆ | 3 | |||||
| Tang et al. 2018 ( | ⋆ | ⋆ | 2 | ||||||
| Yin et al. 2018 ( | ⋆ | ⋆ | ⋆ | 3 | |||||
| Mao et al. 2019 ( | ⋆ | ⋆ | ⋆ | 3 | |||||
| Shi et al. 2019 ( | ⋆ | ⋆ | ⋆⋆ | ⋆ | 5 | ||||
| Zeng et al. 2019 ( | ⋆ | ⋆ | ⋆ | ⋆ | ⋆ | ⋆ | 6 | ||
| Jiang et al. 2020 ( | ⋆ | ⋆ | ⋆⋆ | ⋆ | ⋆ | 6 | |||
| Li et al., 2021 ( | ⋆ | ⋆ | ⋆⋆ | ⋆ | 5 | ||||
| Du et al., 2021 ( | ⋆ | ⋆ | ⋆⋆ | ⋆ | 5 | ||||
(1) Representativeness of the exposed cohort.
(2) Selection of the non-exposed cohort.
(3) Ascertainment of exposure.
(4) Demonstration that outcome of interest was not present at start of study.
(1) Comparability of cohorts on the basis of the design or analysis.
(1) Assessment of outcome.
(2) Was follow-up long enough for outcomes to occur.
(3) Non-response rate.
Figure 1PRISMA (Preferred Reporting Items for Systematic Review and Meta-Analyses) flow diagram. (CINAHL: Cumulative Index to Nursing and Allied Health Literature; QATD: Open Access Theses and Dissertations).
Characteristics of included studies in China.
| Zhou et al. ( | 2015 | Quasi-experimental study | Ningshan County, Zhenping County, and Shaanxi Province | Secondary | • Total expense per visit (inpatient/outpatient service). | • Hospital-data difference-in-differences. | • The absolute monetary reduction of the per-visit inpatient expense is 20 times of that in outpatient care. |
| Zhou et al. ( | 2015 | Quasi-experimental study | Ningshan County Hospital in Ankang city, Shaanxi province | • The effects of zero-markup on medical expense per visit. | • A difference-in-difference model to measure the difference in several indicators between two hospitals. | With minimal or no subsidy, the government can catalyze the zero-markup policy and potentially generate positive outcomes for county hospitals. | |
| Tian et al. ( | 2016 | Descriptive study (retrospective longitudinal study) | Beijing | Tertiary | • Annual patient-visits. | • Rank-sum tests. | Implementation of Universal Zero-Markup Drug Policy: |
| Wei et al. ( | 2017 | Natural experiment | Guangxi | N/A | • Antibiotic prescribing rate (outpatients with a primary diagnosis of upper respiratory tract infection). | • Difference-in-difference analyses. | The national essential medicines scheme and zero-mark-up policy may be associated with reductions in outpatient antibiotic prescribing and intravenous infusions. |
| Yang et al. ( | 2017 | Time series study | Shaanxi Province | Primary | • Monthly average hospitalization expenditure (AHE). | • Segmented regression analysis of interrupted time series data. | A statistically significant absolute decrease in the level or trend of monthly AHE and AHER was detected after the introduction of the zero-markup drug policy in western China. However, hospitalization expenditure and hospitalization expenditure after reimbursement were still increasing. More effective policies are needed to prevent these costs from continuing to rise. |
| Fu et al. ( | 2018 | Penal study | 1,880 counties | N/A | • Pre-trend test based on linear regressions. | The policy change led to a reduction in drug expenditures, a rise in expenditures for medical services, and no measurable changes in total health expenditures. However, this study also found an increase in expenditures for diagnostic tests/medical consumables at hospitals that had a greater reliance on drug revenues before the reform, which is unintended by policymakers. Further, these results were more likely to be driven by the supply side, suggesting that hospitals offset the reductions in drug revenues by increasing the provision of services and products with higher price-cost margins. | |
| He et al. ( | 2018 | Time series study | Sanming City, Fujian Province | Secondary ( | • Outpatient drug expenditure. | • Interrupted time series analysis with three segments divided by two intervention points. | Although, the pharmaceutical reform could control or reduced drug expenditure and total health expenditure in short term, expenditures gradually resumed growing again and reached or even exceeded their baseline levels of pre-reform period, indicating the effect became weakened or even faded out in long term. |
| Tang et al. ( | 2018 | N/A | Nanjing City, Jiangsu Province | Secondary and tertiary | • The markup ratio of drug sales. | • Simple linear interrupted time series regressions. | Nanjing's pricing and compensation reform has basically achieved the policy targets of eliminating the drug markups, promoting the growth of medical services revenue, and adjusting the structure of medical revenue. However, the growth rate of service revenue of hospitals varied significantly from one another. |
| Yin et al. ( | 2018 | Time series study | Shandong Province | Secondary tertiary, and urban/rural primary healthcare centers (PHCs) | • Total annual antibiotic expenditure. | • Descriptive statistics. | The overall antibiotic expenditure increased over time in Shandong, China. However, the increase rate of expenditure began to decline in 2016, possibly related to the implementation of antibiotic stewardship initiatives. |
| Mao et al. ( | 2019 | Penal study | Hangzhou City, Zhejiang Province | Primary ( | • Average number of medicines. | • | The average number of medicines per prescription, use of antibiotics, intramuscular (IM) injections and intravenous (IV) injections decreased while the use of hormones increased. No significant change of the average medicine expenditure per prescription was observed. The problems of poly-pharmacy, overuse of antibiotics, intramuscular (IM) injections and intravenous (IV) injections and hormones still existed, however mitigated after the implementation of The National Essential Medicine Policy and the Zero Mark-up Policy. |
| Shi et al. ( | 2019 | Penal study | All TCM county hospitals | • Revenue from government subsidies. | • Difference-in-difference. | • ZMDP achieved its stated goal through reducing the share of revenue from drug sales without disrupting the availability of healthcare services at TCM county hospitals no matter in the short term or long term. | |
| Zeng et al. ( | 2019 | Beijing City | Urban employee basic medical insurance | • The total expenditure and other expenditure components of the pilot hospitals. | • 1:1 propensity score-matched analysis (Propensity scores were calculated by logistic regression). | After the zero markup drug policy, expenditure on drugs revealed a continuous decline. However, the decline in total expenditure was weakened by the substitution effect of medical consumables in the long term. | |
| Jiang et al. ( | 2020 | Penal study | Shandong Province | Secondary and tertiary | • Revenue from medicine sales. | • Difference-in-difference analyses. | • The ZMDP achieved its some initial goals of removing the profits from western medicines in county hospitals' revenue without disrupting the normal operation, and had different impacts between county general andTCM hospitals. |
| Li et al. ( | 2021 | Penal study | Chengdu City | Urban employee basic medical insurance | • A series of expenditure variables (actual reimbursement expenditure, reimbursement ratio, total healthcare expenditures, drug expenditure, examinations expenditure, material expenditure, nursing expenditure, etc.,). | • Difference-in-difference analyses. | • After implementing the SHRDS policy, the significant reduction in drug expenditure led to more physicians inducing patients' healthcare service needs, and the increased social healthcare burden was partially transferred to the patients' personal economic burden through the decline in the reimbursement ratio. |
| Du et al. ( | 2021 | Interrupted time series study | Chongqing City | Tertiary | • Average drug cost 11 per month for NCDs' outpatients analyzed overall. | • Interrupted time series analysis. | • The ITS analysis is an effective method of health policy evaluation. |