Costs and cost effectiveness of the use of telerehabilitation training for upper limb function in people after stroke: A systematic review.

Clin RehabilMay 2, 2026 (epub)

Daim Syukriyah, Jemma Perks, Phil McBride et al.

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In 30 seconds

This systematic review examined costs and cost-effectiveness of technology-based telerehabilitation for upper limb function after stroke. It included 15 studies with 963 participants, identified through searches of MEDLINE, EconLit, and EMBASE. Two studies assessed cost-effectiveness, eight reported costs, and six used EQ-5D, with overlap between categories. Findings were mixed, although several studies suggested potential cost savings. Cost reporting mainly covered therapist time and equipment, while EQ-5D outcomes were reported inconsistently.

Key findings

  • The review included 15 studies and 963 participants; two conducted cost-effectiveness analyses and eight reported cost analyses.
  • Evidence on costs and cost-effectiveness was mixed, but several studies suggested potential cost savings.
  • Studies primarily reported therapist time and equipment costs; few included maintenance, depreciation, or internet-enabled device costs.
  • Six studies used EQ-5D, but reporting of these outcomes was inconsistent.

Why it matters

Telerehabilitation may reduce therapist time enough to offset technology costs, but the available evidence does not establish consistent cost-effectiveness. Incomplete accounting for equipment-related expenses and inconsistent reporting of preference-based outcomes make comparisons difficult. These findings highlight the need for fuller cost measurement and longer-term evaluation when considering the economic implications of remote upper-limb rehabilitation after stroke.

What to keep in mind

The review found few cost-effectiveness analyses, inconsistent EQ-5D reporting, and limited inclusion of equipment maintenance, depreciation, and internet-enabled device costs.

Source

Published in Clin Rehabil. This summary was written by xxcode from the publication's abstract and metadata. It is not peer reviewed and is not a substitute for the original article. For clinical decisions, review the original publication.

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AI-generated summaries may contain errors or omissions. Verify clinically important information with the original publication.

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