Person:
Sprigle,
Stephen
Sprigle,
Stephen
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Organizational Unit
Organizational Unit
ORCID
0000-0003-0462-0138
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Publication Search Results
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ItemAssistive Technology Outcomes Measure (ATOM) v2.0(Georgia Institute of Technology, 2018) Sprigle, Stephen ; Harris, Frances
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ItemThe Accuracy Of New Wheelchair User Predictions About Their Future Wheelchair Use(Georgia Institute of Technology, 2010-06) Hoenig, Helen ; Griffiths, Patricia ; Harris, Frances ; Caves, Kevin ; Sprigle, StephenThis study examined the accuracy of new wheelchair user predictions about their future wheelchair use. We used an existing database of 71 new manual wheelchair users with data obtained at baseline, 3-‐ and 6-‐months to examine the specificity, sensitivity, positive and negative predictive value of user predictions about anticipated amount and locations of wheelchair use. At 3-‐months, the correlation between predicted and actual use was strong, with 90% of those who thought they would still be using the wheelchair still using it, and 60% of those who said they would not be using it indeed were not using the wheelchair. By 6-‐months the predictive utility diminished substantially. Only 70% of subjects accurately predicted their continued use, while only 50% correctly predicted they would not be using their wheelchairs. This study demonstrates the importance of better understanding the potential mismatch between the anticipated and actual patterns of wheelchairs use.
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ItemUnderstanding Wheelchair Use Patterns: Tilt-in-Space(Georgia Institute of Technology, 2008-03) Sonenblum, Sharon Eve ; Sprigle, Stephen ; Harris, Frances ; Maurer, Chris
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ItemOutcomes of an Expert vs. Usual Care Intervention for Manual Wheelchairs(Georgia Institute of Technology, 2008) Hoenig, Helen ; Harris, Frances ; Griffiths, Patricia ; Sanford, Jon ; Sprigle, Stephen
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ItemCharacterization of Power Wheelchair Use in the Home and Community(Georgia Institute of Technology, 2008) Sonenblum, Sharon Eve ; Sprigle, Stephen ; Harris, Frances ; Maurer, Christine L.Objective: To characterize the use of power wheelchairs and to determine if multiple measures of mobility and occupancy jointly provide a more comprehensive picture of wheelchair usage and daily activity in full-time power wheelchair users than daily distance alone. Design: Prospective observational study. Setting: Subjects’ everyday mobility was measured in their homes and communities for two weeks and prompted recall interviews were conducted by phone. Participants: A convenience sample of 25 non-ambulatory, full-time power wheelchair users. Interventions: Not applicable. Main Outcome Measures: Wheelchair usage was logged electronically and GPS / interview data were used to isolate chair use to home, indoors but not at home and outdoor environments. Distance wheeled, time spent wheeling, number of bouts, time spent in the wheelchair and the percent of time in the wheelchair spent wheeling were measured to describe wheelchair use. Results: The median wheelchair user spent 10.6 hours (5.0-16.6) in his/her wheelchair daily and wheeled 1.085 km (0.238-10.585) over 58 minutes (16-173) and 110 bouts (36-282). Wheelchair use varied across subjects, within subjects from day-to-day, and between environments. Mobility bouts outdoors were longer and faster than those wheeled indoors. In a regression analysis, distance wheeled explained only 33% of the variation in the number of bouts and 75% in the time spent wheeling. Conclusions: Power wheelchair use varies widely both within and between individuals. Measuring distance, time and number of bouts provides a clearer picture of mobility patterns than measuring distance alone, while occupancy helps to measure wheelchair function in daily activities.
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ItemImpact of Tilt-in-Space Power Wheelchairs on Health, Activity, and Participation(Georgia Institute of Technology, 2008) Harris, Frances ; Sonenblum, Sharon Eve ; Sprigle, Stephen ; Maurer, Christine L.This paper reports the results of a pre-post outcomes study on the impact of tilt-in-space power wheelchairs on the health, activity, and participation of 5 subjects. Using a methodology which combines traditional self-reports and activity monitoring technology, subjects who had previously used an upright power wheelchair were monitored at baseline and 3 months following receipt of a new tilt-in-space power wheelchair. Subjects visited similar numbers of destinations pre and post. However, wheelchair use metrics - including occupancy time, distance wheeled, and number of bouts - varied pre and post, without a consistent direction of change. Quality of life measured as self-perceived health status increased in all subjects. Although subject population is too small to generalize results, this study illustrates the complexity of participation measurement and the utility of this methodology to provide insights into the relationship between wheelchair use and activity and participation.
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ItemMeasuring Activity and Participation Among Wheeled Mobility Users(Georgia Institute of Technology, 2007) Sprigle, Stephen ; Harris, Frances ; Sonenblum, Sharon
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ItemOutcomes of an Assistive Technology Intervention Among Wheeled Mobility Users(Georgia Institute of Technology, 2007) Harris, Frances ; Sprigle, StephenThis paper reports the outcomes of an assistive technology (AT) intervention among seating and mobility clients at an acute rehabilitation hospital between 2002 and 2004. Three instruments, OTFACT, PIADS, and the ATOM, were administered during baseline and assessments made at 1 and 12 months post-intervention. Results showed that the measures were not significantly correlated at baseline, post 1 and post 12 months, indicating the intervention had a dissimilar impact on their respective constructs. Results are discussed in terms of methodological implications for future outcomes studies.
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ItemA Case Study Comparing Activity and Participation Measurement in Two Subjects(Georgia Institute of Technology, 2007) Harris, Frances ; Sonenblum, Sharon Eve ; Sprigle, StephenThis case study compares the differences between complementary methodologies that measure activity and participation in two subjects who use wheeled mobility devices. Data collection consisted of 1) a self-report participation measure for people with mobility disabilities - the Community Participation and Perceived Receptivity Survey (CPPRS) - and 2) a passive instrumentation data-gathering methodology that includes a global positioning system (GPS) data logger, followed by a prompted recall interview (PRI) to confirm GPS data location and query activity purpose. Many of the destination types (e.g., grocery stores) named in the CPPRS were confirmed by GPS/PRI data. Issues affecting subject responses in both methods included ambiguous categories and researcher assumptions about the nature of activity. Differences between self-report and instrumentation data are discussed as they impact understanding activity and community participation among wheeled mobility users and the development of self-report participation instruments.
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ItemMeasuring Activity and Participation in Outcomes Research(Georgia Institute of Technology, 2006) Harris, Frances ; Sprigle, Stephen ; Sonenblum, Sharon