Physiotherapists' reasons for selection of treatment techniques: A cross-national survey

1999 ◽  
Vol 15 (4) ◽  
pp. 235-246 ◽  
Author(s):  
Patricia A. Turner ◽  
T.W. Allan Whitfield
Methodology ◽  
2020 ◽  
Vol 16 (3) ◽  
pp. 186-207
Author(s):  
Piotr Jabkowski ◽  
Marta Kołczyńska

This article addresses the comparability of sampling and fieldwork with an analysis of methodological data describing 1,537 national surveys from five major comparative cross-national survey projects in Europe carried out in the period from 1981 to 2017. We describe the variation in the quality of the survey documentation, and in the survey methodologies themselves, focusing on survey procedures with respect to: 1) sampling frames, 2) types of survey samples and sampling designs, 3) within-household selection of target persons in address-based samples, 4) fieldwork execution and 5) fieldwork outcome rates. Our results show substantial differences in sample designs and fieldwork procedures across survey projects, as well as changes within projects over time. This variation invites caution when selecting data for analysis. We conclude with recommendations regarding the use of information about the survey process to select existing survey data for comparative analyses.


2004 ◽  
Vol 60 (4) ◽  
Author(s):  
M. Conradie ◽  
E. Smit ◽  
M. Louw ◽  
M. Prinsloo ◽  
L. Loubser ◽  
...  

Background and purpose: Physiotherapists frequently use central posterior-anterior (PA) joint mobilization techniques for assessing and managing spinal disorders. Manual examination findings provide the basis for the selection of treatment techniques. From the literature it is evident that the level of reliability varies when physiotherapists perform different mobilization techniques. Repeatability of mobilization techniques is important for better physiotherapy management. The aim of the study was to determine whether experienced physiotherapists apply equal magnitude of force during a grade I central PA mobilisation technique on the cervical spine. Another aim was to determine the variation in the magnitude of forceapplied by each individual physiotherapist. Subjects: Sample of convenience, consisting of sixteen (n=16) selected qualified physiotherapists with experience inOrthopaedic Manual Therapy.Methods: A grade I central PA was performed on the Flexiforce TM sensors positioned on C6 of the same asymptomatic model to measure the applied magnitude of force. Two separate measurements, each lasting 30-seconds, were obtained.Results: The average maximum peak force applied by the majority of physiotherapists (87.5%) was between 10.95gand 72g. The difference in the forces applied for the two measurements ranged between 0.64g and 24.4g. The BlandAltman scatterplot determined the mean of the difference between measurement one and two, calculated for the group, was zero. When comparing the two measurements, little variation was noted in the forces applied, as well as the coefficient of variation for each physiotherapist.Conclusion and Discussion: Current results demonstrated good intra-therapist and moderate to good inter-therapist repeatability. Further research is required to generalize results.


2011 ◽  
Vol 20 (4) ◽  
pp. 424-431 ◽  
Author(s):  
Inese Gobina ◽  
Raili Välimaa ◽  
Jorma Tynjälä ◽  
Jari Villberg ◽  
Anita Villerusa ◽  
...  

2018 ◽  
pp. 1-4
Author(s):  
Daniele Checci ◽  
Janet Gornick

The articles included in this special issue of the Journal of Income Distribution are a selection of papers originally presented at the first LIS-LWS Users Conference, hosted by LIS, the cross-national data center in Luxembourg. The conference took place at the University of Luxembourg in Belval, Luxembourg, on April 27- 28, 2017. The submitted papers underwent a process of blind review, and this collection of five articles is the final outcome. Taken as a whole, these articles constitute an interesting overview of the ways in which the research community uses the LIS-LWS Databases, which provide researchers access to microdata on income and wealth, respectively.


2013 ◽  
Author(s):  
Ying-Hwa Chang (TSCS) ◽  
Noriko Iwai (JGSS) ◽  
Lulu Li (CGSS) ◽  
Sang-Wook Kim (KGSS)

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