Rolinde AlinghUniversity Medical Center Groningen · UMC staf
Rolinde Alingh
MSc.
About
6
Publications
12,683
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Citations
Introduction
As a PhD student I currently work on a research project called ReSpAct (Rehabilitation, Sports and Active lifestyle; www.respact.nl/en). ReSpAct is a nationwide observational, longitudinal cohort study. The project aims to evaluate a person-tailored physical activity and sports stimulation program. The program aims to promote an active lifestyle in persons with a physical disability and/or chronic disease subsequent to their rehabilitation period.
Education
September 2008 - April 2012
September 2005 - August 2008
Publications
Publications (6)
Background
While self-reported data are commonly used as a source of medication use for pharmaco-epidemiological studies, such information is prone to forms of bias. Several previous studies showed that various factors like age, type of drug and data collection method may influence accuracy. We aimed to assess the concordance of the self-reported m...
Purpose: To describe the current status of the nationwide implementation process of a sports and physical activity stimulation programme to gain insight into how sports and physical activity were integrated into Dutch rehabilitation care.
Methods: The current implementation status of a sports and physical activity stimulation programme in 12 rehab...
Introduction: Stimulating physical activity behaviour in persons with a physical disability is important, especially after discharge from rehabilitation. A tailored counselling programme covering both the period of the rehabilitation treatment and the first months at home seems on the average effective. However, a considerable variation in response...
Background
There is a growing interest to study the transfer of evidence-based information into daily practice. The evidence-based programme Rehabilitation, Sports and Exercise (RSE) that aims to stimulate an active lifestyle during and after a rehabilitation period in people with a disability and/or chronic disease is prepared for nationwide disse...
Balance training to improve postural control in elderly can contribute to the prevention of falls. Video games that require body movements have the potential to improve balance. However, research about the effects of type of visual feedback (i.e. the exergame) on the quality of movement and experienced workout intensity is scarce. In this study twe...
Questions
Questions (3)
I am wondering what is known about possible characteristics (e.g. demographics) of clients/ patients that influence the receptivity of persons to MI counseling.
Nowadays, more and more attention is paid to the importance of assessing MI therapist/ counselor fidelity. Various instruments have been developed to assess MI fidelity, including the MITI, MISC and BECCI. In addition, Madson et al., have developed the CEMI questionnaire in order to assess the client experiences of MI.
Interestingly, I could hardly find any information about the therapist/counselor experiences with their own MI consultations. In other words, is a trained MI therapist/counselor able to correctly classify a conversation as a 'good MI conversation' or a 'bad conversation'? In addition, I could not find a self-assessment instrument to measure the experiences of the therapist/counselor with his/her own level op MI skills.
Therefore, I am wondering if somebody knows more about the possibility of trained MI therapists/counselors to assess their own MI skills correctly. And whether any research has been done on the relationship between such subjective experiences and the (more) objectively measured MI fidelity.
I am performing a confirmatory factor analysis in Lisrel to investigate the construct validity of a new questionnaire. The questionnaire consists of 22 items which are all scored on a 5-point Likert scale. The data are nonnormal and of ordinal mesaurement level. Therefore, we use a asymptotic covariance matrix as the basis of the CFA. And we use the WLS method. There are no missing values within our sample (n=306).
By interpreting the results, I am wondering which goodness-of-fit indices or tests I should use or focus on.