AI Article Synopsis

  • The WHO predicts that the global population aged 60 and over will increase from 900 million in 2015 to 2.1 billion by 2050, challenging healthcare systems to adapt through effective public policies for elderly care.
  • This scoping review follows established guidelines to analyze theoretical models and evaluation tools related to public policies for elderly healthcare, using a wide range of databases for comprehensive article searches.
  • The study will not require ethical approval, and findings will be shared through publication in a peer-reviewed journal and at a scientific conference.

Article Abstract

Introduction: The global phenomenon of population ageing is expanding rapidly, with WHO projecting that the number of individuals aged 60 and over will reach 2.1 billion by 2050, a significant rise from 900 million in 2015. This pronounced growth poses substantial challenges to healthcare systems globally, necessitating the development of effective public policies to ensure adequate access to healthcare services for the elderly demographic. In this context, this scoping review aims to identify and analyse theoretical and logical models, as well as evaluation instruments, of public policies directed at elderly healthcare.

Methods And Analysis: This scoping review protocol is developed in accordance with the Joanna Briggs Institute manual and guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews. Article searches will be conducted in the following databases: Embase, Medline/PubMed, Scopus, Web of Science, Cumulative Index to Nursing and Allied Health Literature, Latin American and Caribbean Literature in Health Sciences and Science Direct. Additionally, searches will be performed on Google Scholar and in the grey literature (www.opengrey.eu). The search strategy will be conducted in January 2025, without language restriction for identifying texts. A descriptive analysis of the mapped studies will be conducted, categorising them by analysis categories. The results will be presented through a narrative summary of the findings to examine how they correlate with the review's objective and research question.

Ethics And Dissemination: This study does not require ethical review due to its nature. The results will be submitted for publication in a peer-reviewed journal and presented at a scientific conference.

Trial Registration Number: Open Science Framework: https://doi.org/10.17605/OSF.IO/AV4WH.

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Source
http://dx.doi.org/10.1136/bmjopen-2024-091477DOI Listing

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