Microcosting Quantity 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

Type , ID Quantity Data Data Data Data

Hybrid ber/coax plant is being widely deployed to deliver broadband interactive services to the home. Many of these services require a two-way high-speed channel, for example, extending the ooce LAN into the home. This is a challenging problem over HFC because most of the plant has only a small fraction of the bandwidth allocated to the upstream path, it is a noisy path and it is not possible t...