Patient-reported outcomes and the mandate of measurement
- 25 October 2008
- journal article
- Published by Springer Nature in Quality of Life Research
- Vol. 17 (10) , 1303-1313
Abstract
Coherent clinical care depends on answering a basic question: is a patient getting worse, getting better, or staying about the same? This can prove surprisingly difficult to answer confidently. Patient-reported outcomes (PROs) could potentially help by providing quantifiable evidence. But quantifiable evidence is not necessarily good evidence, as this article details. The fundamental mandate of measurement requires that errors in making an assessment be smaller than the distinctions to be measured. This mandate implies that numerical observations of patients may be poor measurements. Individual assessments require high measurement precision and reliability. Group-averaged comparisons cancel out measurement error, but individual PROs do not. Individual PROs generate numbers, to be sure, but the numbers may fall short of what we should demand of measurements. When typical errors of measurement are large, it is not possible to answer confidently even the modest question of whether a patient is getting worse or getting better. This article explains some theory behind the mandate of measurement, provides several examples based on clinical research, and suggests strategies to measure and monitor individual patient outcomes more precisely. These include more frequent low-burden assessments, more realistic confidence levels, and strengthened measurement that integrates population data.Keywords
This publication has 15 references indexed in Scilit:
- Effective communication of standard errors and confidence intervalsBiostatistics, 2008
- Evaluating the Statistical Significance of Health-Related Quality-Of-Life Change in Individual PatientsEvaluation & the Health Professions, 2005
- Correlation of change in visual analog scale with pain relief in the EDThe American Journal of Emergency Medicine, 2005
- Pain medication use before ED arrivalThe American Journal of Emergency Medicine, 2003
- Pain and the defense response: structural equation modeling reveals a coordinated psychophysiological response to increasing painful stimulationPain, 2003
- A parametric empirical Bayes method for cancer screening using longitudinal observations of a biomarkerBiostatistics, 2003
- Individual Differences in Quality-of-Life Treatment ResponseMedical Care, 2002
- Sensory and affective dimensions of phasic pain are indistinguishable in the self-report and psychophysiology of normal laboratory subjectsThe Journal of Pain, 2001
- Comparative efficacy of patient-controlled administration of morphine, hydromorphone, or sufentanil for the treatment of oral mucositis pain following bone marrow transplantationPain, 1997
- Review papers : Longitudinal studies with continuous responsesStatistical Methods in Medical Research, 1992