Publications by authors named "Francisco Rodenas-Rigla"

Aim: The aim of this research is to identify the main approaches and domains of palliative care quality assessment through three questionnaires used for this purpose.

Design: Systematic review.

Methods: The proposed analysis process consists of three stages from 2000 to 2020: (i) massive literature search, (ii) text mining and (iii) systematic reviews carried out on the QLQ C30, Zarit Burden Interview and FAMCARE questionnaires.

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This research critically explores deficiencies in the palliative care system, focusing on evaluation and treatment aspects for both adult and paediatric patients. Using a qualitative methodology, the study engages healthcare professionals and family caregivers to uncover perspectives on the existing state of palliative care. Conducted through three focus groups and a semi-structured in-depth interview with participants recruited from Virgen de la Arrixaca University Clinical Hospital, this research illustrates critical issues, highlighting the insufficient healthcare workforce and resources to meet the comprehensive needs of patients and their families.

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Palliative care (PC) enhances the quality of life for patients and families facing life-threatening conditions. While PC is well-established for adults, not all practices apply to pediatrics. Consequently, specific quality indicators for Pediatric Palliative Care (PPC) must be identified.

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The increasing prevalence of complex chronic diseases in the population over 65 years of age is causing a major impact on health systems. This study aims to explore the needs and preferences of the multimorbid patient and carers to improve the palliative care received. The perspective of professionals who work with this profile of patients was also taken into account.

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The development and implementation of artificial intelligence (AI) applications in health care contexts is a concurrent research and management question. Especially for hospitals, the expectations regarding improved efficiency and effectiveness by the introduction of novel AI applications are huge. However, experiences with real-life AI use cases are still scarce.

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The Sustainable Social and Healthcare Model (SSHM) is aimed to establish new care pathways in primary care systems contributing to the decrease of health services use and costs and improve the integration and efficiency of social and health care for elderly people with long-term care (LTC) needs. One of these strategies is the segmentation of population in risk groups through standardized tools. This paper is a retrospective study aimed to determine the viability of the implementation of the screening tools Probability of Repeated Admission - Pra - and The Community Assessment Risk Screen - CARS - to detect patients at risk of hospital readmission in a sample of 500 elderly people (65+) from the VHS in Spain.

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