Literature DB >> 22665827

Six features of Medicare coordinated care demonstration programs that cut hospital admissions of high-risk patients.

Randall S Brown1, Deborah Peikes, Greg Peterson, Jennifer Schore, Carol M Razafindrakoto.   

Abstract

As policy makers seek to slow the growth in Medicare spending, they have appropriately focused attention on beneficiaries with multiple chronic conditions. Many care coordination and disease management programs designed to improve beneficiaries' care and reduce their need for hospitalizations have been tested, but few have been successful. This study, however, found that four of eleven programs that were part of the Medicare Coordinated Care Demonstration reduced hospitalizations by 8-33 percent among enrollees who had a high risk of near-term hospitalization. The six approaches practiced by care coordinators in at least three of the four programs were as follows: supplementing telephone calls to patients with frequent in-person meetings; occasionally meeting in person with providers; acting as a communications hub for providers; delivering evidence-based education to patients; providing strong medication management; and providing timely and comprehensive transitional care after hospitalizations. When care management fees were included, the programs were essentially cost-neutral, but none of these programs generated net savings to Medicare. Our results suggest that incorporating these approaches into medical homes, accountable care organizations, and other policy initiatives could reduce hospitalizations and improve patients' lives. However, the approaches would save money only if care coordination fees were modest and organizations found cost-effective ways to deliver the interventions.

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Year:  2012        PMID: 22665827     DOI: 10.1377/hlthaff.2012.0393

Source DB:  PubMed          Journal:  Health Aff (Millwood)        ISSN: 0278-2715            Impact factor:   6.301


  83 in total

1.  The Myth Regarding the High Cost of End-of-Life Care.

Authors:  Melissa D Aldridge; Amy S Kelley
Journal:  Am J Public Health       Date:  2015-10-15       Impact factor: 9.308

2.  Capsule Commentary on Balaban et al., Impact of a Patient Navigator Program on Hospital-Based and Outpatient Utilization Over 180 Days in a Safety-Net Health System.

Authors:  Michael Hochman
Journal:  J Gen Intern Med       Date:  2017-09       Impact factor: 5.128

3.  Perceived Impact of Care Managers' Work on Patient and Clinician Outcomes.

Authors:  Pascale Carayon; Ann Schoofs Hundt; Peter Hoonakker; Sarah Kianfar; Bashar Alyousef; Doreen Salek; Randi Cartmill; James M Walker; Janet Tomcavage
Journal:  Eur J Pers Cent Healthc       Date:  2015

4.  Planning Patient-Centered Health Homes for Medicaid Psychiatric Patients at Greatest Risk for Intensive Service Use.

Authors:  Joyce C West; Donald S Rae; Ramin Mojtabai; Farifteh F Duffy; Janet Kuramoto; Eve Moscicki; William E Narrow
Journal:  Community Ment Health J       Date:  2015-02-10

5.  Setting standards at the forefront of delivery system reform: aligning care coordination quality measures for multiple chronic conditions.

Authors:  Eva H DuGoff; Sydney Dy; Erin R Giovannetti; Bruce Leff; Cynthia M Boyd
Journal:  J Healthc Qual       Date:  2013 Sep-Oct       Impact factor: 1.095

6.  Risk-standardized Acute Admission Rates Among Patients With Diabetes and Heart Failure as a Measure of Quality of Accountable Care Organizations: Rationale, Methods, and Early Results.

Authors:  Erica S Spatz; Kasia J Lipska; Ying Dai; Haikun Bao; Zhenqiu Lin; Craig S Parzynski; Faseeha K Altaf; Erin K Joyce; Julia A Montague; Joseph S Ross; Susannah M Bernheim; Harlan M Krumholz; Elizabeth E Drye
Journal:  Med Care       Date:  2016-05       Impact factor: 2.983

7.  Identifying Subgroups of Adult Superutilizers in an Urban Safety-Net System Using Latent Class Analysis: Implications for Clinical Practice.

Authors:  Deborah J Rinehart; Carlos Oronce; Michael J Durfee; Krista W Ranby; Holly A Batal; Rebecca Hanratty; Jody Vogel; Tracy L Johnson
Journal:  Med Care       Date:  2018-01       Impact factor: 2.983

8.  Evaluating a Model to Predict Primary Care Physician-Defined Complexity in a Large Academic Primary Care Practice-Based Research Network.

Authors:  Clemens S Hong; Steven J Atlas; Jeffrey M Ashburner; Yuchiao Chang; Wei He; Timothy G Ferris; Richard W Grant
Journal:  J Gen Intern Med       Date:  2015-12       Impact factor: 5.128

9.  Changes in office visit use associated with electronic messaging and telephone encounters among patients with diabetes in the PCMH.

Authors:  David T Liss; Robert J Reid; David Grembowski; Carolyn M Rutter; Tyler R Ross; Paul A Fishman
Journal:  Ann Fam Med       Date:  2014-07       Impact factor: 5.166

10.  Predicting Disability among Community-Dwelling Medicare Beneficiaries Using Claims-Based Indicators.

Authors:  Yonatan Ben-Shalom; David C Stapleton
Journal:  Health Serv Res       Date:  2015-05-25       Impact factor: 3.402

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