Publications by authors named "M Rich-Ruiz"
Background: Quality indicators in healthcare are essential to raising awareness about the appropriateness of nursing care. However, identifying the key indicators continues to pose a challenge, above all if one wants to include users and professionals.
Aim: Identify which aspects of nursing care should be measured to assess the results of nursing care and how to do so.
Effectiveness of a Motivational Interviewing-Based Intervention in Decreasing Risky Alcohol Use in Primary Care Patients in Spain: A Controlled Clinical Trial.
Healthcare (Basel)
October 2024
Article Synopsis
- The study assessed the effectiveness of Motivational Interviewing (MI) by healthcare professionals on patients with risky alcohol use in Primary Care settings through a controlled clinical trial in Cordoba, Spain.
- Patients were divided into an Experimental Group (EG) that received MI and a Control Group (CG) that received standard health advice, with a follow-up period of 12 months.
- Results indicated that MI significantly reduced risky alcohol use compared to standard advice, with notable reductions in both standard drinking units and scores on the Alcohol Use Disorders Identification Test (AUDIT).
The COVID-19 pandemic triggered an unprecedented health crisis that impacted healthcare systems worldwide. This study explores how Spanish healthcare workers learned, internalised and integrated values and work behaviours during the COVID-19 pandemic and their impact on the personal sphere. This documentary research, using images, narratives and audiovisual content, was framed within the interpretative hermeneutic paradigm.
View Article and Find Full Text PDFBackground: Nursing care for older women represent a challenge worldwide due to its characteristics. When communication is impaired between primary care nurses and older women living alone, an imbalance in power relations occurs. The main objective of this study is to analyse the power relations between older women and primary care nurses in situations of active listening, shared decision-making and participation in care.
View Article and Find Full Text PDFBackground: Dementia, with Alzheimer's disease (AD) being the most common type of this neurodegenerative disease, is an under-diagnosed health problem in older people. The creation of classification models based on AD risk factors using Deep Learning is a promising tool to minimize the impact of under-diagnosis.
Objective: To develop a Deep Learning model that uses clinical data from patients with dementia to classify whether they have AD.