Literature DB >> 23918485

Transitional care cut hospital readmissions for North Carolina Medicaid patients with complex chronic conditions.

Carlos T Jackson1, Troy K Trygstad, Darren A DeWalt, C Annette DuBard.   

Abstract

Recurrent hospitalizations represent a substantial and often preventable human and financial burden in the United States. In 2008 North Carolina initiated a statewide population-based transitional care initiative to prevent recurrent hospitalizations among high-risk Medicaid recipients with complex chronic medical conditions. In a study of patients hospitalized during 2010-11, we found that those who received transitional care were 20 percent less likely to experience a readmission during the subsequent year, compared to clinically similar patients who received usual care. Benefits of the intervention were greatest among patients with the highest readmission risk. One readmission was averted for every six patients who received transitional care services and one for every three of the highest-risk patients. This study suggests that locally embedded, targeted care coordination interventions can effectively reduce hospitalizations for high-risk populations.

Entities:  

Keywords:  Chronic Care; Hospitalizations; Medicaid; Primary Care

Mesh:

Year:  2013        PMID: 23918485     DOI: 10.1377/hlthaff.2013.0047

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


  33 in total

Review 1.  Strategies to Reduce Hospital Readmission Rates in a Non-Medicaid-Expansion State.

Authors:  Steven J Warchol; Judith P Monestime; Roger W Mayer; Wen-Wen Chien
Journal:  Perspect Health Inf Manag       Date:  2019-07-01

2.  Conflicting Readmission Rate Trends in a High-Risk Population: Implications for Performance Measurement.

Authors:  C Annette DuBard; Julie C Jacobson Vann; Carlos T Jackson
Journal:  Popul Health Manag       Date:  2015-01-21       Impact factor: 2.459

3.  Health systems' use of enterprise health information exchange vs single electronic health record vendor environments and unplanned readmissions.

Authors:  Joshua R Vest; Mark Aaron Unruh; Seth Freedman; Kosali Simon
Journal:  J Am Med Inform Assoc       Date:  2019-10-01       Impact factor: 4.497

4.  The associations between query-based and directed health information exchange with potentially avoidable use of health care services.

Authors:  Joshua R Vest; Mark Aaron Unruh; Jason S Shapiro; Lawrence P Casalino
Journal:  Health Serv Res       Date:  2019-05-21       Impact factor: 3.402

Review 5.  Self-Identified Social Determinants of Health during Transitions of Care in the Medically Underserved: a Narrative Review.

Authors:  Anunta Virapongse; Gregory J Misky
Journal:  J Gen Intern Med       Date:  2018-08-20       Impact factor: 5.128

6.  Differences in Hospital Readmission Risk across All Payer Groups in South Carolina.

Authors:  Hrishikesh Chakraborty; Robert Neal Axon; Jordan Brittingham; Genevieve Ray Lyons; Laura Cole; Christine B Turley
Journal:  Health Serv Res       Date:  2016-09-28       Impact factor: 3.402

7.  Timeliness of outpatient follow-up: an evidence-based approach for planning after hospital discharge.

Authors:  Carlos Jackson; Mohammad Shahsahebi; Tiffany Wedlake; C Annette DuBard
Journal:  Ann Fam Med       Date:  2015-03       Impact factor: 5.166

8.  Trends in user-initiated health information exchange in the inpatient, outpatient, and emergency settings.

Authors:  Saurabh Rahurkar; Joshua R Vest; John T Finnell; Brian E Dixon
Journal:  J Am Med Inform Assoc       Date:  2021-03-01       Impact factor: 4.497

9.  Health care savings with the patient-centered medical home: Community Care of North Carolina's experience.

Authors:  Herbert Fillmore; C Annette DuBard; Grant A Ritter; Carlos T Jackson
Journal:  Popul Health Manag       Date:  2013-09-21       Impact factor: 2.459

10.  Differing Strategies to Meet Information-Sharing Needs: Publicly Supported Community Health Information Exchanges Versus Health Systems' Enterprise Health Information Exchanges.

Authors:  Joshua R Vest; Bita A Kash
Journal:  Milbank Q       Date:  2016-03       Impact factor: 4.911

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