To describe the prevalence and characteristics of persons with arthritis or hypertension who received advice from their health-care professional to manage their condition.
Data from 9 states were obtained from the 2007 Behavioral Risk Factor Surveillance System. Two modules (Arthritis Management and Actions to Control High Blood Pressure) were analyzed (sample sizes: arthritis 29,698, hypertension 29,783).
Fifty-five percent of persons with arthritis and 75.8% of persons with hypertension reported that their health-care professional ever suggested physical activity or exercise to help manage their condition. Correlates for being less likely to receive advice were lower levels of education, longer time since last routine doctor visit, being physically inactive, and having lower body mass index. Among inactive, normal weight persons, 43.0% (95% CI: 38.7, 47.4) with arthritis and 50.0% (95% CI: 44.4, 55.6) with hypertension reported receiving advice; among inactive, obese patients, 59.1% (95% CI: 55.8, 62.3) with arthritis and 74.0% (95% CI: 70.5, 77.3) with hypertension reported receiving advice.
Findings suggest that health-care professionals may base physical activity counseling more on body mass index than a patient's activity level. To manage chronic health conditions, health-care professionals should assess patient's physical activity and offer all patients appropriate counseling.
"Bruce et al. (2007)  Cross-sectional study US Arthritis self-management education Adults with arthritis participating in a life-long follow-up Arthritis, Rheumatism, and Aging Medical Information Systems study (n ¼ 619) Participation in arthritis selfmanagement programs was not related to the number of years of education. Carlson et al. (2009)  Population-based survey US "
[Show abstract][Hide abstract] ABSTRACT: There is now a considerable body of research investigating inequities in access to health care for arthritis according to socioeconomic status (SES). Conducted in a range of settings internationally, studies have examined specific socioeconomic factors (including education, income, deprivation and health insurance status) in relation to access to treatment. This chapter provides a comprehensive review of the available evidence on disparities in access to self-management education, conservative therapy and surgical treatment for arthritis, according to SES. There is some evidence of SES disparities in access to self-management education and advice, primary care, specialist care, physical therapy and medications, and strong evidence that people with less education or lower income experience significant disparities in access to joint replacement surgery. In view of research indicating that disparities may adversely affect patient outcomes, examples of initiatives designed to optimise access to care for disadvantaged groups are also described.
Best practice & research. Clinical rheumatology 10/2012; 26(5):561-83. DOI:10.1016/j.berh.2012.08.002 · 2.60 Impact Factor
[Show abstract][Hide abstract] ABSTRACT: We study multiple antenna systems that employ space-time modulation schemes and transmit data encoded by powerful channel codes. Decoders for such codes require probabilistic (soft) information about transmitted bits. We use a modification of the Fincke-Pohst algorithm to solve maximum a posteriori detection problem and efficiently approximate soft information. Simulation results that illustrate performance of the proposed system are presented.
Signals, Systems and Computers, 2002. Conference Record of the Thirty-Sixth Asilomar Conference on; 12/2002
[Show abstract][Hide abstract] ABSTRACT: Despite the known health risks of hypertension, many hypertensive patients still have uncontrolled blood pressure. Clinical inertia, the tendency of physicians not to intensify treatment, is a common barrier in controlling chronic diseases. This trial is aimed at determining the impact of activating patients to ask providers to make changes to their care through tailored feedback.
Diagnosed hypertensive patients were enrolled in this RCT and randomized to one of two study groups: (1) the intervention condition--Web-based hypertension feedback, based on the individual patient's self-report of health variables and previous BP measurements, to prompt them to ask questions during their next physician's visit about hypertension care (2) the control condition--Web-based preventive health feedback, based on the individual's self-report of receiving preventive care (e.g., pap testing), to prompt them to ask questions during their next physician's visit about preventive care. The primary outcome of the study is change in blood pressure and change in the percentage of patients in each group with controlled blood pressure.
Five hundred participants were enrolled and baseline characteristics include a mean age of 60.0 years; 57.6% female; and 77.6% white. Overall 37.7% participants had uncontrolled blood pressure; the mean body mass index (BMI) was in the obese range (32.4) and 21.8% had diabetes. By activating patients to become involved in their own care, we believe the addition of the web-based intervention will improve blood pressure control compared to a control group who receive web-based preventive messages unrelated to hypertension.
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