UsingGDAfor novel data-collection methods

Microcosting quantity data collection methods.

BACKGROUND Microcosting studies collect detailed data on resources used and the value of those resources. Such studies are useful for estimating the cost of new technologies or new community-based interventions, for producing estimates in studies that include nonmarket goods, and for studying within-procedure cost variation. OBJECTIVES The objectives of this article were to (1) describe basic...

Data Collection Methods in Health Services Research

M.N. Sarkies2,3; K.-A. Bowles3,7; E.H. Skinner4,8; D. Mitchell2,6; R. Haas3,7; M. Ho2; K. Salter2; K. May2; D. Markham2; L. O’Brien3,5; S. Plumb1; T.P. Haines3,7 1Melbourne Health, Allied Health, Melbourne, Victoria, Australia; 2Monash Health, Allied Health, Melbourne, Victoria, Australia 3Monash Health, Allied Health Research Unit, Melbourne, Victoria, Australia; 4Monash University, Allied Hea...

Neurological registry data collection methods and configuration.

issues related to data collection and registry configuration. When designing a disease registry, it is important to consider the registry’s purpose and target population as this will influence the type of data, source(s) of data, and the manner in which it is collected. A data dictionary defining the specific data elements to be collected is key to ensuring registry data quality. Compliance of ...

Data Collection and Analysis Methods for Data from Field Experiments

Review of Data Collection Methods for Microscopic Traffic Simulation

Research into developing more reliable microscopic traffic simulation models is seriously hampered by the availability of suitable microscopic data for calibration and validation purposes. This paper presents a review of several data collection technologies that the authors have been experimenting with. The methods include (i) video recording (ii) the use of differential GPS (DGPS) and (iii) an...