Configuración teórica de la motivación de salud desde la teoría de la autodeterminación

El estudio de la motivación humana es un constructo altamente complejo y con una gran variabilidad de enfoques. La teoría de la autodeterminación (TAD) ha demostrado una relativa efectividad y consistencia en muchos aspectos relacionados con la salud, como por ejemplo el ejercicio físico, la alimentación, el sueño, el bienestar psicológico o el consumo de tabaco. Las investigaciones muestran que la motivación autodeterminada se corresponde con la motivación intrínseca y en cambio la motivación extrínseca y sus formas de regulación pueden corresponderse con comportamiento no autodeterminados, pudiendo llegar hasta la desmotivación. En este trabajo se formula una construcción teórica sobre este modelo, introduciendo la percepción de riesgo (PR) y la vulnerabilidad percibida (VP) como elementos que pueden variar el sentido final de la motivación e incluso mejorar alguna de sus regulaciones extrínsecas y la desmotivación. Una de las posibilidades teóricas que sugerimos para intentar neutralizar los tipos no autodeterminados es procurar aumentar la PR y la VP de la persona, ya que estando estas dos variables altas, la probabilidad de que la desmotivación aparezca se reduce significativamente, y las acciones forzadas de la regulación externa y la regulación introyectada pueden amortiguarse y aumentar la internalización lo que podría favorecer los comportamientos de salud.

Intelligent Decision-Making System Frameworks for a Digital Plan of Work: A Theoretical Investigation for the Construction Industry

The construction industry is characterised by fragmentation and suffers from lack of collaboration, often adopting adversarial working practices to achieve deliverables. For the UK Government and construction industry, BIM is a game changer aiming to rectify this fragmentation and promote collaboration. However it has become clear that there is an essential need to have better controls and definitions of both data deliverables and data classification. Traditional methods and techniques for collating and inputting data have shown to be time consuming and provide little to improve or add value to the overall task of improving deliverables. Hence arose the need in the industry to develop a Digital Plan of Work (DPoW) toolkit that would aid the decision making process, providing the required control over the project workflows and data deliverables, and enabling better collaboration through transparency of need and delivery. The specification for the existing Digital Plan of Work (DPoW) was to be, an industry standard method of describing geometric, requirements and data deliveries at key stages of the project cycle, with the addition of a structured and standardised information classification system. However surveys and interviews conducted within this research indicate that the current DPoW resembles a digitised version of the pre-existing plans of work and does not push towards the data enriched decision-making abilities that advancements in technology now offer. A Digital Framework is not simply the digitisation of current or historic standard methods and procedures, it is a new intelligent driven digital system that uses new tools, processes, procedures and work flows to eradicate waste and increase efficiency. In addition to reporting on conducted surveys above, this research paper will present a theoretical investigation into usage of Intelligent Decision Support Systems within a digital plan of work framework. Furthermore this paper will present findings on the suitability to utilise advancements in intelligent decision-making system frameworks and Artificial Intelligence for a UK BIM Framework. This should form the foundations of decision-making for projects implemented at BIM level 2. The gap identified in this paper is that the current digital toolkit does not incorporate the intelligent characteristics available in other industries through advancements in technology and collation of vast amounts of data that a digital plan of work framework could have access to and begin to develop, learn and adapt for decision-making through the live interaction of project stakeholders.

Handing Down and Adaption: The Construction of the Material World of Health Care Technology in Spain (1855-1955)

This historical study uses qualitative methods to analyze and describe the components of the material world of nursing care in Spain between 1855 and 1955 based on the analysis of eight nurse training manuals. A total of 360 objects and 45 procedures were recorded. Manual analysis was carried out concurrently with data collection based on the Grounded Theory approach. Findings show that the material world of health care was composed of objects that were handed down by the medical profession to health care professionals and adapted objects, improvised mainly out of everyday household items. While the handing down of medical tools and instruments could be said to be a theoretical and technical achievement, it is not clear whether it was also a scientific accomplishment. The improvisation of objects out of everyday household items promoted by the manuals highlights the artisan-like and ingenious nature of nursing practice, which should be explored further in future studies to provide a greater understanding and promote the recognition of these objects as a health care technology.