In clinical glaucoma research, the measurement of patient reported outcomes, functional assessment of disability, and health economic impact is critical. However, valid, time-efficient and comprehensive tools are not available and several current instruments lack in the appropriate precision for measuring the various dimensions of glaucoma-related quality of life (QoL), including functioning and mobility. Furthermore, statistical methods are inconsistently and sometimes incorrectly used in otherwise sound clinical studies. Standardizing and improving methods of patient-centered data collection and analysis in glaucoma studies are imperative. This paper outlines recommendations and provides a discussion of some of the pertinent issues relating to the optimization of patient-reported outcomes research in glaucoma.
*Department of Surgery, University of Melbourne
†Discipline of Ophthalmology, University of Sydney, Australia
‡Singapore Eye Research Institute
§Duke NUS Medical School, Singapore
∥Optometry and Visual Science, School of Health Sciences, University of London, Northampton Square, London
¶Johns Hopkins Wilmer Eye Institute, MD
Disclosure: The authors declare no conflict of interest.
Reprints: Simon E. Skalicky, FRANZCO, PhD, 32 Gisborne St East, Melbourne, Victoria 3002, Australia (e-mail: email@example.com).
Received August 13, 2018
Accepted November 9, 2018