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      The Accountable Care Organization results: Population health management and quality improvement programs associated with increased quality of care and decreased utilization and cost of care

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          Objective: The Accountable Care Organization (ACO) model of health care delivery is based on new payment models for general practice to reward improved quality and decreased cost of care.

          Methods: Banner Health Network (BHN) is one of the original CMS Pioneer ACO programs and implemented a comprehensive disease management program based on the collaborative care model. Key performance indicators for CMS reflected quality and cost of care.

          Results: BHN has demonstrated both improved quality and cost savings in the first two years of the pilot program. The disease management program based on the collaborative care model appears to have improved patient health outcomes based on quality improvement measures. In addition the program has reduced emergency department and hospital utilization, resulting in cost savings.

          Conclusions: The BHN quality improvement program is the platform for analyzing and improving on the BHN ACO model. This model appears to have excellent application to the China health care system that is also focused on prevention and improvement of chronic disease and cost-effectiveness.

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          Most cited references 39

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          Prevalence, awareness, treatment, and control of hypertension in China: results from a national survey.

           ,  Lisheng Liu,  Haiyan Wang (2014)
          Hypertension is one of the major risk factor for cardiovascular disease worldwide. The objective of this study was to investigate the prevalence, awareness, treatment, and control of hypertension in China. A multistage, stratified sampling method was used to obtain a representative sample of persons aged 18 years or older in the general population of China. Blood pressure (BP) was measured by sphygmomanometer 3 times at 5-minute intervals. Hypertension was defined as a systolic BP ≥ 140mm Hg, or diastolic BP ≥ 90mm Hg, or self-reported use of antihypertensive medications in the last 2 weeks irrespective of the BP. Altogether 50,171 subjects finished the survey across the entire country. The adjusted prevalence of hypertension was 29.6% (95% confidence interval (CI) = 28.9%-30.4%) and was higher among men than among women (31.2%, 95% CI = 30.1%-32.4%; vs. 28.0%, 95% CI = 27.0%-29.0%). The awareness, treatment among all hypertensive participants, control among all hypertensive participants, and control among treated hypertensive participants were 42.6%, 34.1%, 9.3%, and 27.4%, respectively. Multiple lifestyle factors were independently associated with presence of hypertension, including physical inactivity, habitual drinking, chronic use of nonsteroidal anti-inflammatory drugs, high body mass index, and central obesity. Hypertension is an important public health burden in China, and control of hypertension is still suboptimal. Several modifiable lifestyle activities were associated with hypertension and thus should be considered potential targets for intervention, with special attention to socioeconomically disadvantaged subpopulations in China. © American Journal of Hypertension, Ltd 2014. All rights reserved. For Permissions, please email: journals.permissions@oup.com.
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            Influence of Dietary Approaches to Stop Hypertension (DASH) diet on blood pressure: a systematic review and meta-analysis on randomized controlled trials.

            Findings were not consistent on the therapeutic effect of Dietary Approaches to Stop Hypertension (DASH) diet on blood pressure. We aimed to review systematically and perform a meta-analysis to assess the magnitude of the effect of the DASH diet on blood pressure in randomized controlled trials (RCTs) among adults.
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              The triple aim: care, health, and cost


                Author and article information

                Family Medicine and Community Health
                Compuscript (Ireland )
                March 2015
                April 2015
                : 3
                : 1
                : 30-38
                1Arizona State University, College of Health Solutions, 500 N. 3rd St., Phoenix, Arizona 85004, USA
                2Banner Health Network, 1441 N. 12th St., Phoenix, Arizona 85006, USA
                3Ambulatory Clinical Performance Assessment and Improvement, Banner Health, 1441 N. 3rd St., Phoenix, Arizona 85006, USA
                4University of Arizona Health Plans, Banner Health Network, 500 N. 3rd St., Phoenix, Arizona 85004, USA
                Author notes
                CORRESPONDING AUTHOR: Ronald O’Donnell, Arizona State University – College of Health Solutions, 500 N. 3rd St., Phoenix, Arizona 85004, USA, E-mail: ronald.odonnell@ 123456asu.edu
                Copyright © 2015 Family Medicine and Community Health

                This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 Unported License (CC BY-NC 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. See https://creativecommons.org/licenses/by-nc/4.0/.

                Self URI (journal page): http://fmch-journal.org/
                Section Two: Population Health Management for General Practitioners


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