Objective Patient-reported outcomes (PROs) are essential when evaluating many new treatments in health care, yet current measures have been limited by a lack of precision, standardization and comparability of scores across studies and diseases. The Patient-Reported Outcomes Measurement Information System (PROMIS™) provides item banks that offer the potential for PRO measurement that is efficient (minimizes item number without compromising reliability) flexible (enables optional use of interchangeable items), and precise (has minimal error in estimate) measurement of commonly-studied PROs. We report results from the first large-scale testing of PROMIS items. Study Design and Setting Fourteen item pools were tested in the U.S. general population and clinical groups using an online panel and clinic recruitment. A scale-setting sub-sample was created reflecting demographics proportional to the 2000 U.S. census. Results Using item response theory (graded response model), 11 item banks were calibrated on a sample of 21,133, measuring components of self-reported physical, mental and social health, along with a 10-item global health scale. Short forms from each bank were developed and compared to the overall bank as well as with other well-validated and widely accepted (“legacy”) measures. All item banks demonstrated good reliability across the majority of the score distributions. Construct validity was supported by moderate to strong correlations with legacy measures. Conclusion PROMIS item banks and their short forms provide evidence they are reliable and precise measures of generic symptoms and functional reports comparable to legacy instruments. Further testing will continue to validate and test PROMIS items and banks in diverse clinical populations.

EART FAILURE IS A SYNDROME characterized by dyspnea and fatigue; however, patients with heart failure often also experience diminished health status, including reductions in physical and social functioning and other dimensions of health-related quality of life. 1,2 Pharmacological and device interventions and disease management programs for heart failure have provided little or modest improvements in healthrelated quality of life. 3,4 The extent to which exercise training in addition to optimal evidence-based therapy improves patients' health status is unknown.See also p 1439.

Background: There is a need for valid self-report measures of core health-related quality of life (HRQoL) domains.Objective: To derive brief, reliable and valid health profile measures from the Patient Reported Outcomes Measurement Information System ® (PROMIS ® ) item banks.Methods: Literature review, investigator consensus process, item response theory (IRT) analysis, and expert review of scaling results from multiple PROMIS data sets. We developed 3 profile measures ranging in length from 29 to 57 questions. These profiles assess important HRQoL domains with highly informative subsets of items from respective item banks and yield reliable information across mild-to-severe levels of HRQoL experiences. Each instrument assesses the domains of pain interference, fatigue, depression, anxiety, sleep disturbance, physical function, and social function using 4-, 6-, and 8-item short forms for each domain, and an average pain intensity domain score, using a 0-10 numeric rating scale.Results: With few exceptions, all domain short forms within the profile measures were highly reliable across at least 3 standard deviation (30 T-score) units and were strongly correlated with the full bank scores. Construct validity with ratings of general health and quality of life was demonstrated. Information to inform statistical power for clinical and general population samples is also provided.Conclusions: Although these profile measures have been used widely, with summary scoring routines published, description of their development, reliability, and initial validity has not been published until this article. Further evaluation of these measures and clinical applications are encouraged.

Objective To present an overview of a series of studies in which the clinical validity of the National Institutes of Health’s Patient Reported Outcome Measurement Information System (NIH; PROMIS) measures was evaluated, by domain, across six clinical populations. Study Design and Setting Approximately 1,500 individuals at baseline and 1,300 at follow-up completed PROMIS measures. The analyses reported in this issue were conducted post hoc, pooling data across six previous studies, and accommodating the different designs of the six, within-condition, parent studies. Changes in T-scores, standardized response means, and effect sizes were calculated in each study. When a parent study design allowed, known groups validity was calculated using a linear mixed model. Results The results provide substantial support for the clinical validity of nine PROMIS measures in a range of chronic conditions. Conclusion The cross-condition focus of the analyses provided a unique and multifaceted perspective on how PROMIS measures function in “real-world” clinical settings and provides external anchors that can support comparative effectiveness research. The current body of clinical validity evidence for the nine PROMIS measures indicates the success of NIH PROMIS in developing measures that are effective across a range of chronic conditions.

Patient-reported outcomes (PROs), such as symptom scales or more broad-based health-related quality-of-life measures, play an important role in oncology clinical trials. They frequently are used to help evaluate cancer treatments, as well as for supportive and palliative oncology care. To be most beneficial, these PROs must be relevant to patients and clinicians, valid, and easily understood and interpreted. The Patient-Reported Outcomes Measurement Information System (PROMIS) Network, part of the National Institutes of Health Roadmap Initiative, aims to improve appreciably how PROs are selected and assessed in clinical research, including clinical trials. PROMIS is establishing a publicly available resource of standardized, accurate, and efficient PRO measures of major self-reported health domains (eg, pain, fatigue, emotional distress, physical function, social function) that are relevant across chronic illnesses including cancer. PROMIS is also developing measures of self-reported health domains specifically targeted to cancer, such as sleep/wake function, sexual function, cognitive function, and the psychosocial impacts of the illness experience (ie, stress response and coping; shifts in self-concept, social interactions, and spirituality). We outline the qualitative and quantitative methods by which PROMIS measures are being developed and adapted for use in clinical oncology research. At the core of this activity is the formation and application of item banks using item response theory modeling. We also present our work in the fatigue domain, including a short-form measure, as a sample of PROMIS methodology and work to date. Plans for future validation and application of PROMIS measures are discussed.

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Background-Although atrial fibrillation (AF) is a common complication of acute myocardial infarction (MI), patient characteristics and association with outcomes remain poorly defined in the elderly.

Using a longitudinal and ecological approach, we investigated the relationships between women's material and emotional resources and strategies and their ability to stay safe over time in a sample of 406 help-seeking African American women. The multivariate analysis demonstrated that social support served as a protective factor and resistance strategies as risk factors for reabuse during a 1-year period. It also showed an interaction between social support and history of violence such that for participants who had experienced the most severe violence, social support did not serve as a protective factor; however, for the other participants, those with the least amount of social support had a 65% predicted probability of reabuse during the next year, compared to a 20% predicted probability for women reporting the highest level of social support. Policy and programmatic implications of these findings are discussed.