Statistical and study design issues in assessing the quality and outcomes of care in rheumatic diseases

As we have pointed out in this article, a health care study should have a well-defined intent that is matched to the study type, population of interest, and outcome. Care must be taken to collect samples in a meaningful way, so that results can be generalized to larger populations. Outcomes must be selected carefully to ensure that they will be sensitive to the types of care being considered, and only a few main outcomes should be selected so as to preserve the level of statistical significance of the research results. Sample sizes should be sufficient to detect an effect of reasonable size, after accounting for attrition in longitudinal studies and rates of occurrence with dichotomous outcomes. If the study purpose is to compare multiple institutions or health care providers, statistical adjustments for case mix will generally be required. Outcome research is an expanding area of development for rheumatology care and for medical care in general. It offers the promise of the use of administrative data bases to answer questions that are important both to arthritis researchers and to consumers of rheumatology care. As with all areas of clinical research, we must maintain appropriate levels of statistical rigor to protect the integrity of the results. Inadequate attention to the design and analysis of data can compromise research results before a study even gets started, and health care research studies have as many potential statistical pitfalls as other types of clinical research.