Publications by authors named "B L Rollman"

Article Synopsis
  • - This paper presents a new method to evaluate digital health readiness in clinical settings, aiming to understand individuals' preparedness and ability to engage in digital health activities.
  • - Unlike existing tools, this assessment combines personal goals, digital health literacy, electronic health record data, and essential skills evaluation to create a comprehensive profile for patients.
  • - The ultimate goal is to enhance patient support for digital health tools, ensuring inclusivity and equity in access to care while preventing further disparities in digital health engagement.
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Background: Depression is an independent risk factor for cardiovascular disease (CVD), but it is unknown if successful depression treatment reduces CVD risk.

Methods: Using eIMPACT trial data, we examined the effect of modernized collaborative care for depression on indicators of CVD risk. A total of 216 primary care patients with depression and elevated CVD risk were randomized to 12 months of the eIMPACT intervention (internet cognitive-behavioral therapy [CBT], telephonic CBT, and select antidepressant medications) or usual primary care.

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Article Synopsis
  • The study looked at patients with end-stage kidney disease (ESKD) and found no links between inflammation markers and their feelings of pain, tiredness, or sadness at the start.
  • A special treatment called Technology-Assisted stepped Collaborative Care (TĀCcare) helped reduce inflammation for some patients over a short time.
  • Both the treatment and regular groups saw changes in certain inflammation markers, but only the treatment group showed improvements in specific markers like TNF- and IL-2 at 3 months.
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Background: Depression affects 20-30% of individuals with heart failure (HF), and it is associated with worse health outcomes independent of disease severity. One potential explanation is the adverse impact of depression on HF patients' adherence to the health behaviors needed to self-manage their condition. The aim of this study is to identify characteristics associated with lower adherence in this population, which could help to recognize individuals at higher risk and eventually tailor health behavior interventions to their needs.

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