2 resultados para Collaborative development

em Duke University


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Men who have sex with men (MSM) represent more than half of all new HIV infections in the United States. Utilizing a collaborative, community based approach, a brief risk reduction intervention was developed and pilot tested among newly HIV-diagnosed MSM receiving HIV care in a primary care setting. Sixty-five men, within 3 months of diagnosis, were randomly assigned to the experimental condition or control condition and assessed at baseline, 3-month, and 6-month follow-up. Effect sizes were calculated to explore differences between conditions and over time. Results demonstrated the potential effectiveness of the intervention in reducing risk behavior, improving mental health, and increasing use of ancillary services. Process evaluation data demonstrated the acceptability of the intervention to patients, clinic staff, and administration. The results provide evidence that a brief intervention can be successfully integrated into HIV care services for newly diagnosed MSM and should be evaluated for efficacy.

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BACKGROUND: Web-based decision aids are increasingly important in medical research and clinical care. However, few have been studied in an intensive care unit setting. The objectives of this study were to develop a Web-based decision aid for family members of patients receiving prolonged mechanical ventilation and to evaluate its usability and acceptability. METHODS: Using an iterative process involving 48 critical illness survivors, family surrogate decision makers, and intensivists, we developed a Web-based decision aid addressing goals of care preferences for surrogate decision makers of patients with prolonged mechanical ventilation that could be either administered by study staff or completed independently by family members (Development Phase). After piloting the decision aid among 13 surrogate decision makers and seven intensivists, we assessed the decision aid's usability in the Evaluation Phase among a cohort of 30 surrogate decision makers using the Systems Usability Scale (SUS). Acceptability was assessed using measures of satisfaction and preference for electronic Collaborative Decision Support (eCODES) versus the original printed decision aid. RESULTS: The final decision aid, termed 'electronic Collaborative Decision Support', provides a framework for shared decision making, elicits relevant values and preferences, incorporates clinical data to personalize prognostic estimates generated from the ProVent prediction model, generates a printable document summarizing the user's interaction with the decision aid, and can digitally archive each user session. Usability was excellent (mean SUS, 80 ± 10) overall, but lower among those 56 years and older (73 ± 7) versus those who were younger (84 ± 9); p = 0.03. A total of 93% of users reported a preference for electronic versus printed versions. CONCLUSIONS: The Web-based decision aid for ICU surrogate decision makers can facilitate highly individualized information sharing with excellent usability and acceptability. Decision aids that employ an electronic format such as eCODES represent a strategy that could enhance patient-clinician collaboration and decision making quality in intensive care.