Literature DB >> 31027455

Interventions to Decrease Use in Prehospital and Emergency Care Settings Among Super-Utilizers in the United States: A Systematic Review.

Samantha Iovan1, Paula M Lantz1, Katie Allan1, Mahshid Abir2.   

Abstract

Interest in high users of acute care continues to grow as health care organizations look to deliver cost-effective and high-quality care to patients. Since "super-utilizers" of acute care are responsible for disproportionately high health care spending, many programs and interventions have been implemented to reduce medical care use and costs in this population. This article presents a systematic review of the peer-reviewed and grey literature on evaluations of interventions to decrease prehospital and emergency care use among U.S. super-utilizers. Forty-six distinct evaluations were included in the review. The most commonly evaluated intervention was case management. Although a number of interventions reported reductions in prehospital and emergency care utilization and costs, methodological and study design weaknesses-especially regression to the mean-were widespread and call into question reported positive findings. More high-quality research is needed to accurately assess the impact of interventions to reduce prehospital and emergency care use in the super-utilizer population.

Entities:  

Keywords:  emergency department; interventions; super-utilizer; systematic review

Mesh:

Year:  2019        PMID: 31027455     DOI: 10.1177/1077558719845722

Source DB:  PubMed          Journal:  Med Care Res Rev        ISSN: 1077-5587            Impact factor:   3.929


  15 in total

1.  "Super-Utilizer" Interventions: What They Reveal About Evaluation Research, Wishful Thinking, and Health Equity.

Authors:  Paula M Lantz
Journal:  Milbank Q       Date:  2020-02-07       Impact factor: 4.911

2.  Can diverse population characteristics be leveraged in a machine learning pipeline to predict resource intensive healthcare utilization among hospital service areas?

Authors:  Iben M Ricket; Todd A MacKenzie; Jennifer A Emond; Kusum L Ailawadi; Jeremiah R Brown
Journal:  BMC Health Serv Res       Date:  2022-06-30       Impact factor: 2.908

3.  Care Coordination Models and Tools-Systematic Review and Key Informant Interviews.

Authors:  Wei Duan-Porter; Kristen Ullman; Brittany Majeski; Isomi Miake-Lye; Susan Diem; Timothy J Wilt
Journal:  J Gen Intern Med       Date:  2021-10-26       Impact factor: 6.473

4.  The Promise of Virtual Complex Care Management.

Authors:  Michael Hochman; Steven M Asch
Journal:  J Gen Intern Med       Date:  2020-01       Impact factor: 5.128

5.  Beyond Causality: Additional Benefits of Randomized Controlled Trials for Improving Health Care Delivery.

Authors:  Marcella Alsan; Amy N Finkelstein
Journal:  Milbank Q       Date:  2021-07-20       Impact factor: 4.911

6.  Can Using an Intensive Management Program Improve Primary Care Staff Experiences With Caring for High-Risk Patients?

Authors:  Lisa S Meredith; Gulrez Azhar; Evelyn T Chang; Adeyemi Okunogbe; Alissa Simon; Bing Han; Lisa V Rubenstein
Journal:  Fed Pract       Date:  2021-02

7.  What Is the Return on Investment of Caring for Complex High-need, High-cost Patients?

Authors:  Evelyn T Chang; Steven M Asch; Jessica Eng; Frances Gutierrez; Angela Denietolis; David Atkins
Journal:  J Gen Intern Med       Date:  2021-09-10       Impact factor: 5.128

8.  Characterising and predicting persistent high-cost utilisers in healthcare: a retrospective cohort study in Singapore.

Authors:  Sheryl Hui Xian Ng; Nabilah Rahman; Ian Yi Han Ang; Srinath Sridharan; Sravan Ramachandran; Debby Dan Wang; Astrid Khoo; Chuen Seng Tan; Mengling Feng; Sue-Anne Ee Shiow Toh; Xin Quan Tan
Journal:  BMJ Open       Date:  2020-01-06       Impact factor: 2.692

9.  Predictive Model-Driven Hotspotting to Decrease Emergency Department Visits: a Randomized Controlled Trial.

Authors:  Brady Post; Jeremy Lapedis; Karandeep Singh; Paul Valenstein; Ayşe G Büyüktür; Karin Teske; Andrew M Ryan
Journal:  J Gen Intern Med       Date:  2021-03-10       Impact factor: 6.473

10.  The Association between Emergency Department Super-Utilizer Status and Willingness to Participate in Research.

Authors:  Henry W Young; Emmett T Martin; Evan Kwiatkowski; J Adrian Tyndall; Linda B Cottler
Journal:  Emerg Med Int       Date:  2020-06-29       Impact factor: 1.112

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