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Biomedical subjects

Eugene Oddone

Publications and source records attributed to Eugene Oddone.

6 recordsLinked to original sources

Translating research into practice: organizational issues in implementing automated decision support for hypertension in three medical centers.

Information technology can support the implementation of clinical research findings in practice settings. Technology can address the quality gap in health care by providing automated decision support to clinicians that integrates guideline knowledge with electronic patient data to present real-time, patient-specific recommendations. However, technical success in implementing decision support systems may not translate directly into system use by clinicians. Successful technology integration into clinical work settings requires explicit attention to the organizational context. We describe the application of a "sociotechnical" approach to integration of ATHENA DSS, a decision support system for the treatment of hypertension, into geographically dispersed primary care clinics. We applied an iterative technical design in response to organizational input and obtained ongoing endorsements of the project by the organization's administrative and clinical leadership. Conscious attention to organizational context at the time of development, deployment, and maintenance of the system was associated with extensive clinician use of the system.

Academic Medical Centers↗

Impacting late life depression: integrating a depression intervention into primary care.

groups and semi-structured individual interviews with all Depression Clinical Specialists (DCSs) working with Project IMPACT (Improving Mood: Promoting Access to Collaborative Treatment), a study testing a collaborative care intervention for late life depression, to examine integration of the intervention model into primary care. DCSs described key intervention components, including supervision from a psychiatrist and a liaison primary care provider, weekly team meetings, computerized patient tracking, and outcomes assessment tools as effective in supporting patient care. DCSs discussed details of protocols, training, environmental set-up, and interpersonal factors that seemed to facilitate integration. DCSs also identified research-related factors that may need to be preserved in the real world. Basic elements of the IMPACT model seem to support integration of late life depression care into primary care. Research-related components may need modification for dissemination.

Aging↗

Improving depression outcomes in older adults with comorbid medical illness.

BACKGROUND: Depression is common in older adults and often coexists with multiple chronic diseases, which may complicate its diagnosis and treatment. OBJECTIVE: To determine whether or not the presence of multiple comorbid medical illnesses affects patient response to a multidisciplinary depression treatment program. DESIGN, SETTING AND PARTICIPANTS: Preplanned analyses of Improving Mood-Promoting Access to Collaborative Treatment (IMPACT), a randomized controlled trial of 1801 depressed older adults (> or =60 years), which was performed at 18 primary care clinics from eight health care organizations in five states across the United States from July 1999 to August 2001. INTERVENTION: Intervention patients had access for up to 12 months to a depression care manager, supervised by a psychiatrist and a primary care expert, who offered education, care management and support of antidepressant management by the patient's primary care physician, or provided brief psychotherapy (Problem-Solving Treatment in Primary Care). MEASUREMENTS: Depression, quality of life (QOL; scale of 0-10) and mental health component score (MCS) of the Short-Form 12 assessed at baseline, 3, 6 and 12 months. RESULTS: Patients suffered from an average of 3.8 chronic medical conditions. Although patients with more chronic medical conditions had higher depression severity at baseline, the number of chronic diseases did not affect the likelihood of response to the IMPACT intervention when compared to care as usual. Intervention patients experienced significantly lower depression during all follow-up time points as compared with patients in usual care independent of other comorbid illnesses (P<.001). Intervention patients were also more likely to experience substantial response (at least a 50% reduction in depressive symptoms) regardless of the number of comorbidities, to experience improved MCS-12 scores at 3 and 12 months, and to experience improved QOL. CONCLUSIONS: The presence of multiple comorbid medical illnesses did not affect patient response to a multidisciplinary depression treatment program. The IMPACT collaborative care model was equally effective for depressed older adults with or without comorbid medical illnesses.

Aged↗

Implementing a disease management intervention for depression in primary care: a random work sampling study.

We describe the daily work activities of 13 Depression Clinical Specialists (DCSs) at 7 national sites who served as care managers in an effective multisite randomized trial of a disease management model for depression in primary care. DCSs carried portable random-reminder beepers for a total of 147 consecutive workdays and recorded 4,030 work activities. Patient care activity comprised the largest percentage of the workday, 49.4% (95% confidence interval [CI], 42.0 to 56.7%), followed by research-related activity, 18.3 % (95% CI, 14.7 to 21.9%), administrative work, 17.9% (95% CI, 12.2 to 23.7%), personal time, 9.4% (95% CI, 5.4 to 13.4%), and time in transit, 5.1% (95% CI, 2.8 to 7.4%). The DCSs delivered 19.2% (95% CI, 14.4 to 24.1%) of direct patient care by telephone. The DCSs spent a significant portion of the day alone 48.7% (95% CI, 43.3 to 54.1%), followed by time spent with patients, 37.5% (95% CI, 31.6 to 43.3%). Less than 10% (7.8%) (95% CI, 5.1 to 10.6%) of their time was spent with local study staff. Less than 4% of their time was spent with other health care providers. Our results demonstrate that the DCSs' time was primarily devoted to clinical care, a significant portion of which was delivered by telephone. They functioned independently, making efficient use of the limited amount of time that they interacted with other health care providers. This information will be helpful to those who may wish to implement this disease management strategy.

Depressive Disorder↗