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Zoekresultaten (22)

HBO/WO

MBO

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

8 mei 2018

08-11: Data collection methods- micro lecture TYPES OF DATA COLLECTION METHODS

In this micro lecture the following items will be explained regarding this micro lecture: An introduction to data collection methods A classification of data collection methods Examples: Surveys, content analysis and focusgroup analysis

Website

Henk van der Kolk

8 mei 2018

08-13: Data collection methods- ASSIGNMENT 6: STUDYING POLITICAL DIFFERENCES AND LEGITIMACY

In this assignmentthe following items will be explained regarding this assignment: In this assignment, you will learn about various methods of data collection, including surveys and observation.

Document

Henk van der Kolk

2 juni 2023

Responsible use of information: Responsible use of data

Managing data Research data can be a survey, a transcript of an interview, a spreadsheet, pictures, sound fragments and so forth. So it is clear you will come across research data during your studies. When you use the data of others it is important to reference them correctly: learn more about this in the module Citing Data. Protecting respondents Do no harm Responsible use of data is particularly important when the data involves people. The ethical norm is that you, the researcher, do not harm your research subjects in any way or better still, that people who participate in the research benefit from the research (Mertens 2007:27). Informed consent Another principle involved in research ethics is informed consent: getting permission from research subjects before you start your data collection, indicating that they understand and agree with your activities and its impact on them. Shared data management Research data management and open data initiatives enable and promote re-use of primary data by different researchers, or generations of researchers. Data sharing allows other researchers to match, compare and analyze the data set. Exercise: File naming Related. Suggested.

Website

Erasmus University Library

15 juli 2024

Understanding different types of sources

In this module you will learn to explain the differences between academic and non-academic sources, distinguish between primary and secondary sources, and explain which different source types contain the information you need.

Website

Maastricht University Library

8 mei 2018

02-16: Concepts - ASSIGNMENT 6: STUDYING POLITICAL DIFFERENCES AND LEGITIMACY

In this micro lecture the following items will be explained regarding this assignment: In this assignment, you will learn about various methods of data collection, including surveys and observation.

Document

Henk van der Kolk

8 mei 2018

07-26: Measurement - ASSIGNMENT 6: STUDYING POLITICAL DIFFERENCES AND LEGITIMACY

In this assignment the following items will be explained regarding this assignment: Unit 6: In this assignment, you will learn about various methods of data collection, including surveys and observation.

Document

Henk van der Kolk

8 mei 2018

08-08: Data collection methods- micro lecture NON COMPARATIVE CONTENT ANALYSIS

In this micro lecture the following items will be explained regarding this micro lecture: Introducing non-comparative content analysis

Website

Henk van der Kolk

9 januari 2020

Hoorcollege afstuderen week 8: Data analyse kwalitatief onderzoek

Dit hoorcollege is één van een serie hoor- en werkcolleges. De afstudeerfase van de hbov in Rotterdam bestaat uit 10EC. Studenten kunnen kiezen uit drie varianten; analyse complexe zorgsituatie, praktijkonderzoek en literatuurstudie. Gedurende 17 weken (één semester) krijgen de studenten 1 hoorcollege per week, gevolgd door 2 werkcolleges. De hoorcolleges (zoals die hieronder te vinden zijn) geven de student inzicht in methoden en technieken van onderzoek, maar ook in verdiepende colleges en schrijfvaardigheden.

HboPresentatie

Dr. H. Groenewoud, MSc A.G. van Driel

8 mei 2018

08-02: Data collection methods - micro lecture CONTENT ANALYSIS

In this micro lecture the following items will be explained regarding this micro lecture: (Different types of) content analysis Inductive and deductive coding Coding Coding scheme and ‘labels’

Website

Henk van der Kolk