Standardising Outcome Measurement: PROMs in Upper-Limb Practice

Grip strength and range of motion are easy to measure and easy to report — but they don't always correlate closely with what patients actually care about: whether they can do their job, their sport, or their daily tasks again. Patient-reported outcome measures (PROMs) exist to close that gap.

Commonly used instruments in this field

• DASH / QuickDASH — broad upper-limb disability measure, widely used and useful for comparing across different conditions and procedures
• PRWE (Patient-Rated Wrist Evaluation) — more specific to wrist pathology, often more sensitive to change after wrist-specific procedures than the broader DASH
• Michigan Hand Questionnaire — hand-specific, captures domains like aesthetics and work performance that generic instruments miss
• Oxford Shoulder/Elbow Scores — condition- and joint-specific instruments widely used in shoulder and elbow outcome reporting

No single instrument is right for every study or every practice — the choice should match what the procedure is actually expected to change.

Why consistent collection is harder than it sounds

• Timing drift. Collecting a "12-week" score anywhere from week 10 to week 16 introduces noise that undermines comparability, especially in smaller case series.
• Response bias. Patients doing poorly are more likely to miss follow-up entirely, which can make outcome data look better than the true population result unless attrition is tracked and reported.
• Floor and ceiling effects. Some instruments compress meaningfully different outcomes at the very good or very poor end of the scale — worth knowing before choosing an instrument for a study population expected to cluster there.

Where digital tools are helping

Structured digital collection — sending a scheduled PROM to a patient's phone at a fixed post-operative interval, rather than relying on paper forms completed inconsistently around clinic visits — meaningfully improves both timing consistency and response rates in our experience, and is part of the data infrastructure behind our own outcome-prediction research (see Research & Publications).

A practical recommendation for routine practice

Picking one or two consistent, condition-appropriate instruments and collecting them at fixed intervals for every relevant procedure — even outside a formal study — builds a practice-level evidence base over time that's far more valuable than ad hoc measurement, and costs little beyond consistency.