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Unlabelled: Clinical information systems (CIS) can affect the quality of patient care. In this paper, we focus on CIS use in the collaborative treatment of chronic diseases. We have developed a framework to determine which CIS functions have general usefulness for improving patient outcomes., Methods: We reviewed the use of clinical information systems within a collaborative care environment, identifying CIS functions important in chronic disease care. We grouped the functions into categories of access, best practices, and communication (ABC). Three independent raters selected the most important collaborative care related functions from the HL7 Electronic Health Record Systems functional model, and mapped the HL7 functions against the ABC categories. We then built a model of CIS use and tested it on data from a cohort of patients with chronic illnesses., Results: Of the 133 HL7 elements in the ABC model, 60 (45%) were ranked as important for collaborative care by two reviewers. Agreement was moderate for importance (kappa=.20) but high for ABC categorization (kappa=.67). In our data tests, for the 1105 patients, access 4.4+/-6.5, best practices 0.8+/-1.6, and communication 2.9+/-4.5. CIS functions were used per episode of care. We were able to identify several key functions that may affect patient care. For example, certain CIS functions related to best practices were associated with higher clinician adherence to testing guidelines., Discussion: This framework may be useful to assess and compare CIS systems for collaborative care. Future refinements of the model are discussed.

Care management has been suggested as a method to improve management of chronic disease, but its success can depend on the involvement of primary care physicians, especially with referral to care management. Our objective was to identify and characterize physicians' perspectives of care management in order to gain insight into the rationale for referral to care management. The study took place in primary care clinics within an integrated delivery system. Nineteen primary care physicians with varying levels of involvement with care management participated in the study. We performed a qualitative and quantitative analysis ofsemistructured interviews. Four referral patterns emerged that were related to physicians' recognition of care managers' abilities and how care managers were connected to their practice. Results from this study can be used to more effectively implement similar models of chronic disease management, where physician participation is a critical component for successful implementation.

Objective: To determine how the addition of generalist care managers and collaborative information technology to an ambulatory team affects the care of patients with diabetes., Study Setting: Multiple ambulatory clinics within Intermountain Health Care (IHC), a large integrated delivery network., Study Design: A retrospective cohort study comparing diabetic patients treated by generalist care managers with matched controls was completed. Exposure patients had one or more contacts with a care manager; controls were matched on utilization, demographics, testing, and baseline glucose control. Using role-specific information technology to support their efforts, care managers assessed patients' readiness for change, followed guidelines, and educated and motivated patients., Data Collection: Patient data collected as part of an electronic patient record were combined with care manager-created databases to assess timely testing of glycosylated hemoglobin (HbA1c) and low-density lipoprotein (LDL) levels and changes in LDL and HbA1c levels., Principal Findings: In a multivariable model, the odds of being overdue for testing for HbA1c decreased by 21 percent in the exposure group (n=1,185) versus the control group (n=4,740). The odds of being tested when overdue for HbA1c or LDL increased by 49 and 26 percent, respectively, and the odds of HbA1c <7.0 percent also increased by 19 percent in the exposure group. The average HbA1c levels decreased more in the exposure group than in the controls. The effect on LDL was not significant., Conclusions: Generalist care managers using computer-supported diabetes management helped increase adherence to guidelines for testing and control of HbA1c levels, leading to improved health status of patients with diabetes.