Data-mining analysis of the provision of mobility devices in the United States with emphasis on complex rehab technology

ABSTRACT

The objective of this study was to describe the provision of wheeled-mobility equipment from the perspective of a large equipment supplier in the United States. The records of clients who were prescribed a mobility device over a 6-month period were randomly sampled to product a dataset of 1,689 clients. Analysis was limited to descriptive statistics and measures of relationships. The majority of the clients were adults (72%) and female (58%) with 62% receiving a manual wheelchair. The majority of interventions (58%) included some contribution from the client or client’s family. Overall, 86% of all prescribed wheelchairs were classified as complex rehab technology (CRT). About half (52%) of all interventions involved a therapist. Therapist involvement was 2.5 times more likely during CRT interventions compared to standard durable medical equipment (StdDME). The project provides a novel description of mobility-related equipment provision using a large retrospective dataset. The analysis demonstrates the utility of analyzing a large number of client interventions. The capabilities of such analyses have business, clinical, and policy implications. Combining the data available from suppliers with prospective collection of client-specific information, such as outcomes, would be a more powerful means to assess the provision of wheeled-mobility equipment.

KEYWORDS:

• positioning and support surfaces
• seating
• service delivery
• wheeled mobility aids

Funding

This study was funded in part by Numotion REARLab at Georgia Tech.

Additional information

Funding

This study was funded in part by Numotion.