Literature DB >> 24374424

Medical and surgical readmissions in the Veterans Health Administration: what proportion are related to the index hospitalization?

Amy K Rosen1, Qi Chen, Marlena H Shin, William O'Brien, Michael Shwartz, Hillary J Mull, Marisa Cevasco, Ann M Borzecki.   

Abstract

BACKGROUND: Readmissions are an attractive quality measure because they offer a broad view of quality beyond the index hospitalization. However, the extent to which medical or surgical readmissions reflect quality of care is largely unknown, because of the complexity of factors related to readmission. Identifying those readmissions that are clinically related to the index hospitalization is an important first step in closing this knowledge gap.
OBJECTIVES: The aims of this study were to examine unplanned readmissions in the Veterans Health Administration, identify clinically related versus unrelated unplanned readmissions, and compare the leading reasons for unplanned readmission between medical and surgical discharges.
METHODS: We classified 2,069,804 Veterans Health Administration hospital discharges (Fiscal Years 2003-2007) into medical/surgical index discharges with/without readmissions per their diagnosis-related groups. Our outcome variable was "all-cause" 30-day unplanned readmission. We compared medical and surgical unplanned readmissions (n=217,767) on demographics, clinical characteristics, and readmission reasons using descriptive statistics.
RESULTS: Among all unplanned readmissions, 41.5% were identified as clinically related. Not surprisingly, heart failure (10.2%) and chronic obstructive pulmonary disease (6.5%) were the top 2 reasons for clinically related readmissions among medical discharges; postoperative complications (ie, complications of surgical procedures and medical care or complications of devices) accounted for 70.5% of clinically related readmissions among surgical discharges.
CONCLUSIONS: Although almost 42% of unplanned readmissions were identified as clinically related, the majority of unplanned readmissions were unrelated to the index hospitalization. Quality improvement interventions targeted at processes of care associated with the index hospitalization are likely to be most effective in reducing clinically related readmissions. It is less clear how to reduce nonclinically related readmissions; these may involve broader factors than inpatient care.

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Year:  2014        PMID: 24374424     DOI: 10.1097/MLR.0000000000000081

Source DB:  PubMed          Journal:  Med Care        ISSN: 0025-7079            Impact factor:   2.983


  8 in total

1.  Factors Associated with Hospital Admission after Outpatient Surgery in the Veterans Health Administration.

Authors:  Hillary J Mull; Amy K Rosen; William J O'Brien; Nathalie McIntosh; Aaron Legler; Mary T Hawn; Kamal M F Itani; Steven D Pizer
Journal:  Health Serv Res       Date:  2018-01-23       Impact factor: 3.402

2.  Association of Postoperative Readmissions With Surgical Quality Using a Delphi Consensus Process to Identify Relevant Diagnosis Codes.

Authors:  Hillary J Mull; Laura A Graham; Melanie S Morris; Amy K Rosen; Joshua S Richman; Jeffery Whittle; Edith Burns; Todd H Wagner; Laurel A Copeland; Tyler Wahl; Caroline Jones; Robert H Hollis; Kamal M F Itani; Mary T Hawn
Journal:  JAMA Surg       Date:  2018-08-01       Impact factor: 14.766

3.  Reducing Behavioral Health Inpatient Readmissions for People With Substance Use Disorders: Do Follow-Up Services Matter?

Authors:  Sharon Reif; Andrea Acevedo; Deborah W Garnick; Catherine A Fullerton
Journal:  Psychiatr Serv       Date:  2017-04-17       Impact factor: 3.084

4.  Unhealthy alcohol use in older adults: Association with readmissions and emergency department use in the 30 days after hospital discharge.

Authors:  Laura J Chavez; Chuan-Fen Liu; Nathan Tefft; Paul L Hebert; Brendan J Clark; Anna D Rubinsky; Gwen T Lapham; Katharine A Bradley
Journal:  Drug Alcohol Depend       Date:  2015-11-19       Impact factor: 4.492

Review 5.  COPD Readmissions: Addressing COPD in the Era of Value-based Health Care.

Authors:  Tina Shah; Valerie G Press; Megan Huisingh-Scheetz; Steven R White
Journal:  Chest       Date:  2016-05-07       Impact factor: 9.410

6.  Navigating high-risk surgery: protocol for a multisite, stepped wedge, cluster-randomised trial of a question prompt list intervention to empower older adults to ask questions that inform treatment decisions.

Authors:  Lauren J Taylor; Paul J Rathouz; Ana Berlin; Karen J Brasel; Anne C Mosenthal; Emily Finlayson; Zara Cooper; Nicole M Steffens; Nora Jacobson; Anne Buffington; Jennifer L Tucholka; Qianqian Zhao; Margaret L Schwarze
Journal:  BMJ Open       Date:  2017-05-29       Impact factor: 2.692

7.  Machine learning in prediction of individual patient readmissions for elective carotid endarterectomy, aortofemoral bypass/aortic aneurysm repair, and femoral-distal arterial bypass.

Authors:  Alexandre Campos Moraes Amato; Ricardo Virgínio Dos Santos; Dumitriu Zunino Saucedo; Salvador José de Toledo Arruda Amato
Journal:  SAGE Open Med       Date:  2020-02-22

Review 8.  Care Bundles after Discharging Patients with Chronic Obstructive Pulmonary Disease Exacerbation from the Emergency Department.

Authors:  Elisenda Gómez-Angelats; Carolina Sánchez
Journal:  Med Sci (Basel)       Date:  2018-08-07
  8 in total

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