OBJECTIVE: This study examined the accuracy of new wheelchair user predictions about their future wheelchair use. DESIGN: This was a prospective cohort study of 84 community-dwelling veterans provided a new manual wheelchair. RESULTS: The association between predicted and actual wheelchair use was strong at 3 mos (ϕ coefficient = 0.56), with 90% of those who anticipated using the wheelchair at 3 mos still using it (i.e., positive predictive value = 0.96) and 60% of those who anticipated not using it indeed no longer using the wheelchair (i.e., negative predictive value = 0.60, overall accuracy = 0.92). Predictive accuracy diminished over time, with overall accuracy declining from 0.92 at 3 mos to 0.66 at 6 mos. At all time points, and for all types of use, patients better predicted use as opposed to disuse, with correspondingly higher positive than negative predictive values. Accuracy of prediction of use in specific indoor and outdoor locations varied according to location. CONCLUSIONS: This study demonstrates the importance of better understanding the potential mismatch between the anticipated and actual patterns of wheelchair use. The findings suggest that users can be relied upon to accurately predict their basic wheelchair-related needs in the short-term. Further exploration is needed to identify characteristics that will aid users and their providers in more accurately predicting mobility needs for the long-term.
OBJECTIVE: This study examined the accuracy of new wheelchair user predictions about their future wheelchair use. DESIGN: This was a prospective cohort study of 84 community-dwelling veterans provided a new manual wheelchair. RESULTS: The association between predicted and actual wheelchair use was strong at 3 mos (ϕ coefficient = 0.56), with 90% of those who anticipated using the wheelchair at 3 mos still using it (i.e., positive predictive value = 0.96) and 60% of those who anticipated not using it indeed no longer using the wheelchair (i.e., negative predictive value = 0.60, overall accuracy = 0.92). Predictive accuracy diminished over time, with overall accuracy declining from 0.92 at 3 mos to 0.66 at 6 mos. At all time points, and for all types of use, patients better predicted use as opposed to disuse, with correspondingly higher positive than negative predictive values. Accuracy of prediction of use in specific indoor and outdoor locations varied according to location. CONCLUSIONS: This study demonstrates the importance of better understanding the potential mismatch between the anticipated and actual patterns of wheelchair use. The findings suggest that users can be relied upon to accurately predict their basic wheelchair-related needs in the short-term. Further exploration is needed to identify characteristics that will aid users and their providers in more accurately predicting mobility needs for the long-term.
Authors: Helen Hoenig; Lawrence R Landerman; Kathy M Shipp; Carl Pieper; Carl Pieper; Margaret Richardson; Nancy Pahel; Linda George Journal: J Am Geriatr Soc Date: 2005-10 Impact factor: 5.562
Authors: L E Kazis; D R Miller; J Clark; K Skinner; A Lee; W Rogers; A Spiro; S Payne; G Fincke; A Selim; M Linzer Journal: Arch Intern Med Date: 1998-03-23
Authors: Stephen P Sayers; Alan M Jette; Stephen M Haley; Tim C Heeren; Jack M Guralnik; Roger A Fielding Journal: J Am Geriatr Soc Date: 2004-09 Impact factor: 5.562
Authors: G Landmann; E-C Chang; W Dumat; A Lutz; R Müller; A Scheel-Sailer; K Schwerzmann; N Sigajew; A Ljutow Journal: Schmerz Date: 2017-10 Impact factor: 1.107
Authors: David J Reinkensmeyer; Sarah Blackstone; Cathy Bodine; John Brabyn; David Brienza; Kevin Caves; Frank DeRuyter; Edmund Durfee; Stefania Fatone; Geoff Fernie; Steven Gard; Patricia Karg; Todd A Kuiken; Gerald F Harris; Mike Jones; Yue Li; Jordana Maisel; Michael McCue; Michelle A Meade; Helena Mitchell; Tracy L Mitzner; James L Patton; Philip S Requejo; James H Rimmer; Wendy A Rogers; W Zev Rymer; Jon A Sanford; Lawrence Schneider; Levin Sliker; Stephen Sprigle; Aaron Steinfeld; Edward Steinfeld; Gregg Vanderheiden; Carolee Winstein; Li-Qun Zhang; Thomas Corfman Journal: J Neuroeng Rehabil Date: 2017-11-06 Impact factor: 4.262