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Ensuring quality in contextualised cancer management guidelines for resource-constraint settings: using a systematic approach
To address the wide variation in access to cancer care in India requires strengthening of infrastructure, trained oncology workforce, and minimisation of out-of-pocket expenditures. However, even with major investments, it is unlikely to achieve the same level of infrastructure and expertise across...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9396157/ https://www.ncbi.nlm.nih.gov/pubmed/35985695 http://dx.doi.org/10.1136/bmjgh-2022-009584 |
Sumario: | To address the wide variation in access to cancer care in India requires strengthening of infrastructure, trained oncology workforce, and minimisation of out-of-pocket expenditures. However, even with major investments, it is unlikely to achieve the same level of infrastructure and expertise across the country. Therefore, a resource stratified approach driven by evidence-based and contextualised clinical guidelines is the need of the hour. The National Cancer Grid has been at the forefront of delivery of standardised cancer care through several of its initiatives, including the resource-stratified guidelines. Development of new guidelines is resource and time intensive, which may not be feasible and can delay the implementation. Adaptation of the existing standard guidelines using the transparent and well-documented methodology with involvement of all stakeholders can be one of the most reasonable pathways. However, the adaptation should be done keeping in mind the context, resource availability, budget impact, investment needed for implementation and acceptability by clinicians, patients, policymakers, and other stakeholders. The present paper provides the framework for systematically developing guidelines through adaptation and contextualisation. The process can be used for other health conditions in resource-constraint settings. |
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