EconPapers    
Economics at your fingertips  
 

A 30-year retrospective case analysis in the Delphi of cognitive rehabilitation therapy

John-Christopher Finley and Frederick Parente

Technological Forecasting and Social Change, 2019, vol. 138, issue C, 254-260

Abstract: In 1987, Parente used the Delphi method to predict changes in the field of cognitive rehabilitation therapy (CRT). Fifty licensed professionals provided predictions about the likely occurrence and probable time courses for 31 scenarios that could possibly have occurred over the 30-year interval between 1987 and 2000+. It has now been 30 years since the initial polling; thus, the purpose of this study was to evaluate the accuracy of these Delphic predictions, via two validation methods. First, we contacted and reviewed statistical information from nationwide data bases (i.e., Center for Disease Control and Prevention, and the Brain Injury Association of America) to see If the scenarios occurred. Second, we polled 12 additional professionals, most of whom had practiced in the field of CRT during the polling period and who still maintained an active practice to assess When the various remaining scenarios had occurred. In this study, probability of occurrence accuracy was approximately 80%, although there was a significant bias towards false positives. Time course predictions were accurate within 1–5 years, although there was a general bias towards underestimating the occurrence of the events.

Keywords: Delphi; Forecasting; Cognitive rehabilitation therapy; If; When (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0040162517313963
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:138:y:2019:i:c:p:254-260

DOI: 10.1016/j.techfore.2018.09.022

Access Statistics for this article

Technological Forecasting and Social Change is currently edited by Fred Phillips

More articles in Technological Forecasting and Social Change from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:tefoso:v:138:y:2019:i:c:p:254-260