Jany Rademakers

Prof. Jany Rademakers


Research Focus & Metrics

Academic Career Length

19Years (2008-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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22 August 2012 in BMC Health Services Research
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AVAafke Victoor
Aafke Victoor
DDDiana Mj Delnoij
Diana Mj Delnoij
RFRoland Friele
Roland Friele
JRJany Rademakers
Jany Rademakers
In several northwest European countries, a demand-driven healthcare system has been implemented that stresses the importance of patient healthcare provider choice. In this study, we are conducting a scoping review aiming to map out what is known about the determinants of patient choice of a wide range of healthcare providers. As far as we know, not many studies are currently available that attempt to draw a general picture of how patients choose a healthcare provider and of the status of research on this subject. This study is therefore a valuable contribution to the growing amount of literature about patient choice.

31 May 2018 in BMC Health Services Research
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Journal Article
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TJTessa Jansen
Tessa Jansen
JRJany Rademakers
Jany Rademakers
GWGeeke Waverijn
Geeke Waverijn
RVRobert Verheij
Robert Verheij
RORichard Osborne
Richard Osborne
MHmonique johanna wilhelmina maria Johanna Wilhelmina Maria Heijmans
monique johanna wilhelmina maria Johanna Wilhelmina Maria Heijmans
Low socioeconomic status (SES) is persistently associated with poor health and suboptimal use of healthcare services, and more unplanned healthcare use. Suboptimal use of emergency and acute healthcare services may increase health inequalities, due to late diagnosis or lack of continuity of care. Given that health literacy has been associated with healthcare utilisation and with education attainment, we sought to explore whether health literacy is related to the use of out-of-hours (OOH) Primary Care Services (PCSs). Additionally, we aimed to study whether and to what extent health literacy accounts for some of the association between education and OOH PSC use. A survey including measures of education attainment, health literacy (assessed by means of the Dutch version of the nine-dimension Health Literacy Questionnaire) and use of PCS was conducted among a sample of adults diagnosed with (any) somatic chronic condition in the Netherlands (response 76.3%, n = 1811). We conducted linear and logistic regression analyses to examine associations between education level and PCS use in the past year. We performed mediation analyses to assess whether the association between education and PCS use was (partly) explained by different aspects of health literacy. We adjusted the models for patient characteristics such as age and morbidity. Higher education attainment was associated with higher scores on the health literacy aspects Appraisal of health information, and Navigating the healthcare system. Additionally, appraisal and navigating the healthcare system partially accounted for educational differences in PCS use. Finally, higher appraisal of health information scores were associated with higher PCS utilisation. Several aspects of health literacy were demonstrated to relate to PCS use, and partly accounted for educational differences herein. Accordingly, developing health literacy within individuals or communities may help to reduce inappropriate PCS use among people with low education.

15 March 2015 in BMC Health Services Research
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Journal Article
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AVAnke J E de Veer
Anke J E de Veer
JPJose Peeters
Jose Peeters
ABAnne E.M. Brabers
Anne E.M. Brabers
FSFrancois G Schellevis
Francois G Schellevis
JRJany Rademakers
Jany Rademakers
AFAnneke L Francke
Anneke L Francke
In the future, an increasing number of elderly people will be asked to accept care delivered through the Internet. For example, health-care professionals can provide treatment or support via telecare. But do elderly people intend to use such so-called e-Health applications? The objective of this study is to gain insight into the intention of older people, i.e. the elderly of the future, to use e-Health applications. Using elements of the Unified Theory of Acceptance and Use of Technology (UTAUT), we hypothesized that their intention is related to the belief that e-Health will help (performance expectancy), the perceived ease of use (effort expectancy), the beliefs of important others (social influence), and the self-efficacy concerning Internet usage. A pre-structured questionnaire was completed by 1014 people aged between 57 and 77 (response 67%). The hypothesized relationships were tested using nested linear regression analyses. If offered an e-Health application in the future, 63.1% of the respondents would definitely or probably use it. In general, people with a lower level of education had less intention of using e-Health. The majority of respondents perceived e-Health as easy to use (60.8%) and easy to learn (68.4%), items that constitute the scale for effort expectancy. Items in the performance expectancy scale generally scored lower: 45.8% perceived e-Health as useful and 38.2% perceived it as a pleasant way to interact. The tested model showed that expected performance and effort were highly related to intention to use e-Health. In addition, self-efficacy was related to intention to use while social influence was not. Acceptance of e-Health can be increased by informing people about the potential benefits of e-Health and letting them practice with the application. Special attention should be paid to people with less education and people who have not used the Internet before.

31 July 2012 in BMC Public Health
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Journal Article
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JRJany Rademakers
Jany Rademakers
JNJessica Nijman
Jessica Nijman
LHLucas van der Hoek
Lucas van der Hoek
MHmonique johanna wilhelmina maria Johanna Wilhelmina Maria Heijmans
monique johanna wilhelmina maria Johanna Wilhelmina Maria Heijmans
MRMieke Rijken
Mieke Rijken
The American short form Patient Activation Measure (PAM) is a 13-item instrument which assesses patient (or consumer) self-reported knowledge, skills and confidence for self-management of one’s health or chronic condition. In this study the PAM was translated into a Dutch version; psychometric properties of the Dutch version were established and the instrument was validated in a panel of chronically ill patients.

27 February 2013 in BMC Public Health
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Journal Article
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IHIris van der Heide
Iris van der Heide
JRJany Rademakers
Jany Rademakers
MSMaarten Schipper
Maarten Schipper
MDMariël Droomers
Mariël Droomers
KSKristine Sørensen
Kristine Sørensen
EUEllen Uiters
Ellen Uiters
Relatively little knowledge is available to date about health literacy among the general population in Europe. It is important to gain insights into health literacy competences among the general population, as this might contribute to more effective health promotion and help clarify socio-economic disparities in health. This paper is part of the European Health Literacy Survey (HLS-EU). It aims to add to the body of theoretical knowledge about health literacy by measuring perceived difficulties with health information in various domains of health, looking at a number of competences. The definition and measure of health literacy is still topic of debate and hardly any instruments are available that are applicable for the general population. The objectives were to obtain an initial measure of health literacy in a sample of the general population in the Netherlands and to relate this measure to education, income, perceived social status, age, and sex.

6 April 2010 in BMC Health Services Research
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Journal Article
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DDDiana Mj Delnoij
Diana Mj Delnoij
JRJany Rademakers
Jany Rademakers
PGPeter Groenewegen
Peter Groenewegen
Like in several other Western countries, in the Dutch health care system regulated competition has been introduced. In order to make this work, comparable information is required about the performance of health care providers in terms of effectiveness, safety and patient experiences. Without further coordination, external actors will all try to force health care providers to be transparent. For health care providers this might result in a situation in which they have to deliver data for several sets of indicators, defined by different actors. Therefore, in the Netherlands an effort is made to define national sets of performance indicators and related measuring instruments. In this article, the following questions are addressed, using patient experiences as an example: