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Articles by B Riegel
Total Records ( 2 ) for B Riegel
  K Dracup , S McKinley , B Riegel , D. K Moser , H Meischke , L. V Doering , P Davidson , S. M Paul , H Baker and M. Pelter

Background— Delay from onset of acute coronary syndrome (ACS) symptoms to hospital admission continues to be prolonged. To date, community education campaigns on the topic have had disappointing results. Therefore, we conducted a clinical randomized trial to test whether an intervention tailored specifically for patients with ACS and delivered one-on-one would reduce prehospital delay time.

Methods and Results— Participants (n=3522) with documented coronary heart disease were randomized to experimental (n=1777) or control (n=1745) groups. Experimental patients received education and counseling about ACS symptoms and actions required. Patients had a mean age of 67±11 years, and 68% were male. Over the 2 years of follow-up, 565 patients (16.0%) were admitted to an emergency department with ACS symptoms a total of 842 times. Neither median prehospital delay time (experimental, 2.20 versus control, 2.25 hours) nor emergency medical system use (experimental, 63.6% versus control, 66.9%) was different between groups, although experimental patients were more likely than control to call the emergency medical system if the symptoms occurred within the first 6 months following the intervention (P=0.036). Experimental patients were significantly more likely to take aspirin after symptom onset than control patients (experimental, 22.3% versus control, 10.1%, P=0.02). The intervention did not result in an increase in emergency department use (experimental, 14.6% versus control, 17.5%).

Conclusions— The education and counseling intervention did not lead to reduced prehospital delay or increased ambulance use. Reducing the time from onset of ACS symptoms to arrival at the hospital continues to be a significant public health challenge.

Clinical Trial Registration— Identifier NCT00734760.

  B Riegel , C. S Lee and J. Sochalski

Background— Comparing disease management programs and their effects is difficult because of wide variability in program intensity and complexity. The purpose of this effort was to develop an instrument that can be used to describe the intensity and complexity of heart failure (HF) disease management programs.

Methods and Results— Specific composition criteria were taken from the American Heart Association (AHA) taxonomy of disease management and hierarchically scored to allow users to describe the intensity and complexity of the domains and subdomains of HF disease management programs. The HF Disease Management Scoring Instrument (HF-DMSI) incorporates 6 of the 8 domains from the taxonomy: recipient, intervention content, delivery personnel, method of communication, intensity/complexity, and environment. The 3 intervention content subdomains (education/counseling, medication management, and peer support) are described separately. In this first test of the HF-DMSI, overall intensity (measured as duration) and complexity were rated using an ordinal scoring system. Possible scores reflect a clinical rationale and differ by category, with zero given only if the element could potentially be missing (eg, surveillance by remote monitoring). Content validity was evident as the instrument matches the existing AHA taxonomy. After revision and refinement, 2 authors obtained an inter-rater reliability intraclass correlation coefficient score of 0.918 (confidence interval, 0.880 to 0.944, P<0.001) in their rating of 12 studies. The areas with most variability among programs were delivery personnel and method of communication.

Conclusions— The HF-DMSI is useful for describing the intensity and complexity of HF disease management programs.

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