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How Did Zero-Markup Medicines Policy Change Prescriptions in the Eyes of Patients?—A Retrospective Quasi-Experimental Analysis
Background: China implemented the zero-markup medicines policy to reverse the overuse of medicine in public health institutions, by changing the distorted financing mechanism, which heavily relies on revenue generated from medicines. The zero-markup medicines policy was progressively implemented in...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9566082/ https://www.ncbi.nlm.nih.gov/pubmed/36231527 http://dx.doi.org/10.3390/ijerph191912226 |
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author | Cheng, Hanchao Zhang, Yuou Sun, Jing Liu, Yuanli |
author_facet | Cheng, Hanchao Zhang, Yuou Sun, Jing Liu, Yuanli |
author_sort | Cheng, Hanchao |
collection | PubMed |
description | Background: China implemented the zero-markup medicines policy to reverse the overuse of medicine in public health institutions, by changing the distorted financing mechanism, which heavily relies on revenue generated from medicines. The zero-markup medicines policy was progressively implemented in city public hospitals from 2015 to 2017. Objective: This study is expected to generate convincing evidence with subjective measurements and contribute to a more comprehensive evaluation of the policy from both objective and subjective perspectives. Methods: This study was based on a large patient-level dataset with a quasi-experimental design. We employed the difference-in-difference (DID) method, combined with propensity score matching methods, to estimate the causal effect of the policy in reducing overprescriptions from the patient perspective. Results: The study estimated a statistically significant increased probability that the responded outpatients denied overprescription in their visiting hospitals. The mean interacted policy effect, in percentage points, of all observations were positive (logit DID model: 0.15, z = 10.27, SE = 0.01; PSM logit DID model: 0.15, z = 10.26, SE = 0.01; PSM logit DID hospital fixed-effect model: 0.12, z = 3.00, SE = 0.04). Discussion: The policy might reduce overprescription in public hospitals from the patient’s perspective. The patient’s attitude is one aspect of a comprehensive policy evaluation. The final concrete conclusion of the policy evaluation can only be made through a systematic review of the studies with rigorous design and with both objective and subjective measurements. |
format | Online Article Text |
id | pubmed-9566082 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-95660822022-10-15 How Did Zero-Markup Medicines Policy Change Prescriptions in the Eyes of Patients?—A Retrospective Quasi-Experimental Analysis Cheng, Hanchao Zhang, Yuou Sun, Jing Liu, Yuanli Int J Environ Res Public Health Article Background: China implemented the zero-markup medicines policy to reverse the overuse of medicine in public health institutions, by changing the distorted financing mechanism, which heavily relies on revenue generated from medicines. The zero-markup medicines policy was progressively implemented in city public hospitals from 2015 to 2017. Objective: This study is expected to generate convincing evidence with subjective measurements and contribute to a more comprehensive evaluation of the policy from both objective and subjective perspectives. Methods: This study was based on a large patient-level dataset with a quasi-experimental design. We employed the difference-in-difference (DID) method, combined with propensity score matching methods, to estimate the causal effect of the policy in reducing overprescriptions from the patient perspective. Results: The study estimated a statistically significant increased probability that the responded outpatients denied overprescription in their visiting hospitals. The mean interacted policy effect, in percentage points, of all observations were positive (logit DID model: 0.15, z = 10.27, SE = 0.01; PSM logit DID model: 0.15, z = 10.26, SE = 0.01; PSM logit DID hospital fixed-effect model: 0.12, z = 3.00, SE = 0.04). Discussion: The policy might reduce overprescription in public hospitals from the patient’s perspective. The patient’s attitude is one aspect of a comprehensive policy evaluation. The final concrete conclusion of the policy evaluation can only be made through a systematic review of the studies with rigorous design and with both objective and subjective measurements. MDPI 2022-09-27 /pmc/articles/PMC9566082/ /pubmed/36231527 http://dx.doi.org/10.3390/ijerph191912226 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Cheng, Hanchao Zhang, Yuou Sun, Jing Liu, Yuanli How Did Zero-Markup Medicines Policy Change Prescriptions in the Eyes of Patients?—A Retrospective Quasi-Experimental Analysis |
title | How Did Zero-Markup Medicines Policy Change Prescriptions in the Eyes of Patients?—A Retrospective Quasi-Experimental Analysis |
title_full | How Did Zero-Markup Medicines Policy Change Prescriptions in the Eyes of Patients?—A Retrospective Quasi-Experimental Analysis |
title_fullStr | How Did Zero-Markup Medicines Policy Change Prescriptions in the Eyes of Patients?—A Retrospective Quasi-Experimental Analysis |
title_full_unstemmed | How Did Zero-Markup Medicines Policy Change Prescriptions in the Eyes of Patients?—A Retrospective Quasi-Experimental Analysis |
title_short | How Did Zero-Markup Medicines Policy Change Prescriptions in the Eyes of Patients?—A Retrospective Quasi-Experimental Analysis |
title_sort | how did zero-markup medicines policy change prescriptions in the eyes of patients?—a retrospective quasi-experimental analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9566082/ https://www.ncbi.nlm.nih.gov/pubmed/36231527 http://dx.doi.org/10.3390/ijerph191912226 |
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