Systematic review of the impact of the National Medication Price Negotiated Policy on the accessibility of drugs in China, 2016–2024
Notice bibliographique
Résumé
OBJECTIVE: To alleviate the economic burden of innovative drugs on patients in China, the government has been negotiating drug prices since 2016 to enhance their accessibility. This systematic review aimed to discuss the impact of the National Medication Price Negotiation Policy (NMPNP) on the accessibility of drugs in China in the years 2016-2024. DESIGN: Systematically reviewed the studies' findings and evaluated their quality using the Newcastle-Ottawa Scale (NOS) collaborative tool. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses 2020 were used to facilitate transparent and complete reporting of our systematic review. DATA SOURCES: PubMed, Web of Science, CNKI and Wanfang were searched from 1 January 2016 to 1 October 2024. ELIGIBILITY CRITERIA FOR SELECTING STUDIES: The inclusion criteria of this study is a quantitative study to evaluate the accessibility of negotiated drugs after the implementation of the NMPNP. DATA EXTRACTION AND SYNTHESIS: Two researchers independently searched the literature, extracted the data and cross-checked them. Any disagreements were resolved by discussion or consultation with a third party. The quality of systematic reviews was assessed using the NOS. RESULTS: A total of 32 studies were included in this review, 8 of the studies were assessed to be high quality based on the NOS, 17 as moderate quality and the remaining 7 as low quality. Most of them showed that after the implementation of the NMPNP, the availability, affordability, defined daily doses, hospital purchase volume and expenditure of negotiated drugs increased, and the price and defined daily dose cost of negotiated drugs decreased. However, a few studies found that some drugs are difficult to be admitted to hospitals and consumption dropped after the implementation of the NMPNP due to low clinical demand and weak competitiveness. CONCLUSIONS: The implementation of NMPNP improved drug accessibility for patients and most regions had good implementation effects which can provide some insights for other countries. However, the high utilisation of successfully negotiated drugs has increased health insurance expenditures, potentially affecting the fund's stability. This necessitates government regulation of both the use of these drugs and health insurance funds. Moreover, different regions and medical institutions had different development levels and resource allocations, resulting in uneven effects of the NMPNP which need to be improved in the future.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,007 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,002 | 0,001 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,003 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».