High volume is associated with better outcomes across a wide range of procedures and conditions, but the magnitude of the association varies greatly. The clinical and policy significance of these findings is complicated by the methodologic shortcomings of many studies. Differences in case mix and processes of care between high- and low-volume providers may explain part of the observed relationship between volume and outcome.

Context.-Many groups have developed guidelines to shorten hospital length of stay in pneumonia in order to decrease costs, but the length of time until a patient hospitalized with pneumonia becomes clinically stable has not been established. Objective.-To describe the time to resolution of abnormalities in vital signs, ability to eat, and mental status in patients with community-acquired pneumonia and assess clinical outcomes after achieving stability. Design.-Prospective, multicenter, observational cohort study. Setting.-Three university and 1 community teaching hospital in Boston, Mass,

Clinical and social factors available within hours of hospital presentation and extractable from an EMR predicted mortality and readmission at 30 days. Incorporating complex social factors increased the model's accuracy, suggesting that such factors could enhance risk adjustment models designed to compare hospital readmission rates.

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Despite the effectiveness of drug therapy in diabetes management high rates of poor adherence persist. The purpose of this study was to identify potentially modifiable patient disease and medication beliefs associated with poor medication adherence among people with diabetes. A cohort of patients with diabetes was recruited from an urban primary-care clinic in New York City. Patients were interviewed in English or Spanish about: disease beliefs, medication beliefs, regimen complexity, diabetes knowledge, depression, self-efficacy, and medication adherence (Morisky scale). Logistic regression was used to identify multivariate predictors of poor medication adherence (Morisky > 1). Patients (n = 151) had diabetes for an average of 13 years with a mean HgA1C of 7.6 (SD 1.7). One-in-four (28%) were poor adherers to their diabetes medicines. In multivariate analyses, predictors of poor medication adherence were: believing you have diabetes only when your sugar is high (OR = 7.4;2-27.2), saying there was no need to take medicine when the glucose was normal (OR = 3.5;0.9-13.7), worrying about side-effects of diabetes medicines (OR = 3.3;1.3-8.7), lack of self-confidence in controlling diabetes (OR = 2.8;1.1-7.1), and feeling medicines are hard to take (OR = 14.0;4.4-44.6). Disease and medication beliefs inconsistent with a chronic disease model of diabetes were significant predictors of poor medication adherence. These suboptimal beliefs are potentially modifiable and are logical targets for educational interventions to improve diabetes self-management.

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Asthma in the elderly (AIE) is under diagnosed and under treated and there is a paucity of knowledge. The National Institute on Aging convened this workshop to identify what is known, what gaps in knowledge remain and suggest research directions needed to improve the understanding and care of AIE. Asthma presenting at an advanced age often has similar clinical and physiologic consequences as seen with younger individuals but co-morbid illnesses and the psychosocial effects of aging may affect the diagnosis, clinical presentation and care of asthma in this population. At least two phenotypes exist among elderly asthma; those with long-standing asthma have more severe airflow limitation and less complete reversibility than those with late-onset asthma. Many challenges exist in the recognition and treatment of asthma in the elderly. Furthermore, the pathophysiological mechanisms of AIE are likely to be different from those seen in young asthmatics and these differences may influence the clinical course and outcomes of asthma in this population.