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Zoekresultaten (48)

HBO/WO

MBO

18 augustus 2021

Care ethics

Care ethics emerged in the 1980s as a challenge to individualism, arguing that people are interdependent beings and reaching a good life can only happen if there is a strong base of caring relationships. The theory also moves away from abstractions and universals, turning instead to the daily contextual experiences of care that keep people in a society alive and well: cooking, cleaning, teaching, transporting, resting, and much more. Since care work is disproportionately done by women and people of colour, care ethics seeks knowledge from voices that have a history of being marginalized in philosophy.

Document

Madelaine Ley

3 juli 2020

Advance Care Planning: timing van ACP

Kennisclip over Advance Care Planning: wanneer wordt het ingezet en wat is de juiste timing om een ACP-gesprek te voeren?

HboWebsite

Anke Clarijs

3 juli 2020

Advance Care Planning: definitie en het belang ervan

Kennisclip over Advance Care Planning en het belang ervan voor de palliatieve zorg

HboWebsite

Anke Clarijs

14 augustus 2020

Ethics in design: Social care robots

Social care robots carry the promise of constant accompaniment of the daily needs of people, while reducing the costs of human supervision. Potential areas of application include care of the vulnerable populations, such as the elderly and people with special needs, in hospital care or in education. However, some are concerned that replacing human caregivers with robots runs the risk of oversimplifying human relationships and reducing the altruism and empathy. This exercise deals with the question of to how to design robots that promote the values of care and sociality.

Document

Olya Kudina

3 juli 2020

Advance Care Planning: de rol van de verpleegkundige bij ACP

Kennisclip over de rol van de verpleegkundige bij Advance Care Planning

HboWebsite

Anke Clarijs

2022

Creativity workshop (ISBEP): Selecting with care

This video is part of the creativity workshop (ISBEP) and focusses on selecting with care.

Video

Paola van de Sluis, Fiona van de Geijn

18 maart 2026

Improving Health Care with Clinical Prediction Models

Clinical prediction models are increasingly used to support health care decisions, helping clinicians estimate disease risk, guide treatment choices, and tailor care to individual patients. At the same time, advances in data science and artificial intelligence have led to a rapid expansion of prediction modelling research. Yet despite this growth, only a small proportion of published models ever reach clinical practice. Improving Health Care with Clinical Prediction Models – From Idea to Impact shows how you can bridge this gap. The book guides readers through the full pathway of prediction modelling in health care: from defining a meaningful clinical problem and identifying existing models to developing, validating, evaluating, and implementing prediction model–based innovations. Combining methodological guidance with real-world clinical examples, the book explains not only how to build robust prediction models but also how to ensure they become useful tools in everyday care. Written in an accessible style and requiring only a basic understanding of statistical modelling, it provides students, researchers, and clinicians with a practical roadmap for turning prediction models into innovations that are useful, usable, and used. What this book helps you do This book takes you through the complete process of clinical prediction modelling, from the first idea for a model to its implementation in health care practice. Along the way, readers learn how to: Define a meaningful clinical problem and identify where prediction models can improve health care Find and critically evaluate existing prediction models before deciding to develop a new one Handle missing data using methods such as multiple imputation Develop and validate prediction models using established regression approaches Apply advanced regression and artificial intelligence methods for clinical prediction modelling Select models with real-world impact potential and translate them into practical decision tools Evaluate the impact of prediction model–based innovations using decision modelling and empirical studies Implement prediction model–based innovations in clinical practice and new health care settings

Open (Access) Tekst Boek

Luc Smits, Sander van Kuijk, Laure Wynants

8 november 2023

Morbidity in primary care: Epidemiologic data from Family Medicine Network

To order a paper copy of this book, please follow this link: https://www.boekenbestellen.nl/boek/morbidity-in-primary-care/62677 'Morbidity in primary care' is a medical textbook that presents a selection of diseases, disorders and clusters of symptoms registered in 'Family Medicine Network' (FaMe-Net). FaMe-Net is a Dutch primary care registration network with decades of experience in the accurate registration of all morbidity presented to the GP. This registration is embedded in the daily practice of GPs providing regular care to their enrolled patients. All morbidity data from 2014 up to and including 2021 can be accessed at www.famenet.nl/morbidity-data. Each chapter presents the incidence and prevalence of the selected condition and the age and sex groups in which this condition is most common. Common reasons for encounter are described: symptoms, complaints or requests that patients present to their GP at the beginning of the episode of care. In addition, each chapter discusses common GP interventions (policy). The clinical course and registration of the condition are also described. Reading the chapters in this book familiarises the user with how epidemiological numbers can be found on the website. The chapters contain links to the web pages where the relevant data are displayed. This makes it an interactive textbook, as the user can apply their own selections and look up their own epidemiological question. For example, change the calendar period or answer the same question for a different condition, including conditions not yet described in this book. The accompanying text in the chapters helps interpret the numbers correctly and guard against potential pitfalls. This book is thus dynamically linked to the website. The topics have been carefully selected and present epidemiological data of both brief episodic and chronic conditions, harmless and more serious conditions, and also include so-called symptom diagnoses that occur regularly in primary care, such as 'sleep disorders'. The database and this book are updated periodically. The FaMe-Net registration network is unique in systematically recording the patient's reason for encounter in every contact with the GP (practice), and the interventions carried out, such as radiology/imaging, laboratory diagnostics, prescription of medication and referrals to primary and secondary care. This allows the correlation between reason for encounter, final diagnosis and interventions to be visualised. This book is written by general practitioners practising in registering practices, many of whom are also affiliated with Radboud University Medical Centre as researchers, lecturers or trainers. The book is intended for general practitioners, GPs in training, medical students and researchers.

Open (Access) Tekst Boek

Hilde Dymphna Luijks, Floris Alexander van de Laar, Henk Jozef Schers

15 februari 2020

Psychosociale zorg in de palliatieve fase

Deze les is gericht op derde of vierdejaars studenten van de HBO-V. De lesvorm is een voorbereidingsopdracht en practicum met een simulatiepatiënt/trainingsacteur, waarin studenten in een gesimuleerde setting hun gespreksvaardigheden ten aanzien van advanced care planning kunnen oefenen. Belangrijke aandachtspunten hierbij zijn: Groepsgrootte en aantal simulanten tijdens de les Er moet nagedacht worden over hoe de voorbereiding op deze les plaatsvindt? Deze les vraagt van studenten een behoorlijke voorbereiding.

Document

K.M. Donachie

2019

E-module Post Intensive Care Syndroom

E-module over Post Intensive Care Syndroom

Website

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