Objective:
Limited evidence supports activity-associated bleeding risk assessment for people with hemophilia (PWH), and consumer materials generically describe types of risk and a single activity risk score based on input from a few physical therapist (PT) authors. The aim of AIR was to assess activity-specific risk ranges, bleed-specific risks, and inherent/modifiable factors that increase risk based on survey/consensus of PT experts.
Methods:
Peer- nominated PTs from US hemophilia treatment centers (HTCs) were invited to participate in a survey regarding ~100 sports/recreational activities. For each activity, respondents provided a low (minimum) and high (maximum) risk assessment on a 5-point scale (low=1, high=5). Position-specific assessments were made for some team sports (eg, baseball pitcher, catcher, and field positions). Sports with distinctly different rules for contact were evaluated separately (eg, flag/tackle football, boys/girls lacrosse, Frisbee/ultimate). Drivers of risk were identified from free text comments and explored at a consensus meeting. Drivers of risk were categorized as inherent, modifiable, activity-driven, and patient-driven.
Summary:
Of 32 invited PTs, 17 responded to the survey with median 26.5 years as a PT and 15.5 years at an HTC; 8 participated in the full-day consensus meeting. Of the survey participants, majorities reported treating adults (94%) and treating children (88%), and most worked in the HTC full- time (29%) or nearly full-time (41%). Overall, few activities had low and high risk assessments both fall within the lower (1) or upper (5) end of the response range. For example, swimming is associated with low risk scores, even when including maximum risk with year-round competitive teams (median low 1, high 2), and tackle football had consistently high scores (median low 5, high 5). Risk scores (median low, high) for some common sports were as follows: baseball pitcher (3,4), catcher (3,4) or other position (2,3); basketball (2,4); hockey (4,5); skiing-downhill (2,4); soccer goalie (2,4) or other position (2,4); snowboarding (3,5). Risks for joint injuries were consistent with position and motion requirements for each sport, while head and muscle bleeds were associated with contact. Key drivers of risk that were identified included progression from seasonal participation to year-round play, overtraining, competitive level, participation in tournaments, and improper body mechanics. Inherent risks included impact with surface/ball/equipment (eg, soccer goalie), impact with players (eg, football), or falls (eg, horseback riding). Modifiable risks included tricks/stunts (eg, skateboarding) and use of safety equipment when not required.
Conclusion:
AIR provides insights into activity-specific risk for PWH including types of bleeding risk and drivers of increased risk. The results may provide a broader framework for assessing activities with respect to bleed site-specific risks and for recognizing how certain activities may be modified to decrease risk or to identify those with non-modifiable inherent risks for injury.