| Autor: |
Shankar Prinja, Yashika Chugh, Lorna Guinness, Basant Garg |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
|
| Zdroj: |
BMJ Global Health, Vol 8, Iss 11 (2023) |
| Druh dokumentu: |
article |
| ISSN: |
2059-7908 |
| DOI: |
10.1136/bmjgh-2023-012987 |
| Popis: |
India envisions achieving universal health coverage to provide its people with access to affordable quality health services. A breakthrough effort in this direction has been the launch of the world’s largest health assurance scheme Ayushman Bharat Pradhan Mantri Jan Arogya Yojana, the implementation of which resides with the National Health Authority. Appropriate provider payment systems and reimbursement rates are an important element for the success of PM-JAY, which in turn relies on robust cost evidence to support pricing decisions. Since the launch of PM-JAY, the health benefits package and provider payment rates have undergone a series of revisions. At the outset, there was a relative lack of cost data. Later revisions relied on health facility costing studies, and now there is an initiative to establish a national hospital costing system relying on provider-generated data. Lessons from PM-JAY experience show that the success of such cost systems to ensure regular and routine generation of evidence is contingent on integrating with existing billing or patient information systems or management information systems, which digitise similar information on resource consumption without any additional data entry effort. Therefore, there is a need to focus on building sustainable mechanisms for setting up systems for generating accurate cost data rather than relying on resource-intensive studies for cost data collection. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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