scholarly journals A Novel Approach for Fully Automated, Personalized Health Coaching for Adults with Prediabetes: Pilot Clinical Trial

2018 ◽  
Vol 20 (2) ◽  
pp. e72 ◽  
Author(s):  
Estelle Everett ◽  
Brian Kane ◽  
Ashley Yoo ◽  
Adrian Dobs ◽  
Nestoras Mathioudakis
2017 ◽  
Author(s):  
Estelle Everett ◽  
Brian Kane ◽  
Ashley Yoo ◽  
Adrian Dobs ◽  
Nestoras Mathioudakis

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S519-S519
Author(s):  
Gabriel Benavidez ◽  
Kelly Ylitalo

Abstract Physical activity improves quality of life and prevents or delays chronic disease, but most adults in the United States are inactive. Consultation and planning with a health care provider, specifically with an exercise “prescription,” may increase physical activity, but utilization patterns and success of such programs are not well understood. This study assessed the initial 6 months of an exercise prescription program at a large, federally-qualified health center during 2018 whereby adult patients were referred via prescription to personalized health coaching by a fitness advisor. A census of all adults (n=512) who received an exercise prescription was combined with attendance data from the on-site exercise facility to classify patients as never attended, 1 to 3 visits, and ≥4 visits. Ordinal logistic regression was used to examine patient characteristics from the electronic health record that influenced exercise facility attendance. Only 30.2% of adults (mean age 44.7 years (SD 14.4)) completed ≥1 visit and 21.7% completed ≥4 visits. We identified no significant utilization differences by sex, race/ethnicity, body mass index, diabetes, hypertension, or coronary artery disease, but adults aged ≥60 years had almost twice the odds of ≥4 visits (OR=1.97; 95% CI: 1.18, 3.33; p=0.01) compared to younger patients. Many adult patients did not participate in the exercise prescription program, but older adults were more likely to participate. Exercise prescription programs with personalized health coaching may be useful for older adult patients receiving care at a federally-qualified health center. Future work will examine if or how exercise prescriptions impact chronic disease self-management.


2011 ◽  
Vol 29 (15_suppl) ◽  
pp. e16621-e16621
Author(s):  
H. Massett ◽  
L. K. Parreco ◽  
R. M. Padberg ◽  
E. Richmond ◽  
D. M. Dilts

1986 ◽  
Vol 75 (03) ◽  
pp. 142-147 ◽  
Author(s):  
Peter Fisher

AbstractA small number of double-blind, placebo-controlled trials of homœopathic treatment in rheumatological conditions have been carried out. These have used differing methodologies, leading to varying results. This paper describes a novel approach in the treatment of fibrositis, a syndrome which lacks a pathological definition, but is defined solely in terms of its symptomatology.24 patients were prescribed for 3 months, according to indication, one of three homœopathic remedies (Arnica, Bryonia, Rhus tox.), each patient remaining on the same remedy throughout. They were followed monthly on the following parameters: pain, number of tender spots and sleep. An ‘indication score’ was allotted to each prescription. The results were analyzed by non-parametric statistical methods, showing that homœopathy produced a statistically significant improvement, but only when the prescribed remedy was well indicated.


2019 ◽  
Vol 75 (1) ◽  
Author(s):  
Faris Alshammari ◽  
Eman Alzoghbieh ◽  
Mohammad Abu Kabar ◽  
Mohannad Hawamdeh

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. e18087-e18087
Author(s):  
Jeremy Miller ◽  
Debra A. Kientop ◽  
Linda Andrews ◽  
William Jeffery Edenfield ◽  
David Hadley

e18087 Background: Starting a clinical research program in a community oncology setting has a myriad of challenges. While ASCO provides guidance through its “Basic Requirements for Starting a Research Practice”, building a research program requires significant time and effort. We present an example of how a technology-enabled solution supports a consortium of community oncology practices to rapidly grow their clinical research program, as they strive to meet the Commission on Cancer goal of > 4% clinical trial enrollment. Methods: Four key pillars that support a successful research program include: building program infrastructure, establishing standard operating procedures, engaging patients and accessing clinical trials. The consortium receives support for each of these components through a combination of software tools and professional services. Results: The practices in the consortium currently have clinical trial enrollment that is less than desired, but the number of patients on clinical trials in the consortium for coming year is expected to grow between two and ten-fold. The table below shows the enrollment by site in 2018 for the 7 practices that have been engaged for the full year. Candidates are patients who have found to be eligible for at least one clinical trial, but have not yet been enrolled or declined. Conclusions: The practices have been engaged in the consortium for approximately one year. While some practices are well below their eventual target of 4% enrollement, the increasing number of patients screened, and their growing clinical trial portfolio of well-matched clinical trials has them well on their way to that target over the next two years.[Table: see text]


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