Social and demographic characteristics of frequent or high‐charge emergency department users: A quantile regression application-Reference-Cited by-同舟云学术

Social and demographic characteristics of frequent or high‐charge emergency department users: A quantile regression application

Published:2021-01-28 Issue:6 Volume:27 Page:1271-1280
ISSN:1356-1294
Container-title:Journal of Evaluation in Clinical Practice
language:en
Short-container-title:J Eval Clin Pract

Author:

Mayfield Carlene A.¹^ORCID,Geraci Marco²³,Dulin Michael⁴,Eberth Jan M.³⁵,Merchant Anwar T.³

Affiliation:

1. Department of Community Health Atrium Health Charlotte North Carolina USA

2. MEMOTEF Department, School of Economics, Sapienza University of Rome Rome Italy

3. Department of Epidemiology and Biostatistics Arnold School of Public Health, University of South Carolina Columbia South Carolina USA

4. Academy for Population Health Innovation, University of North Carolina Charlotte and Mecklenburg County Health Department Charlotte North Carolina USA

5. Rural and Minority Health Research Center, University of South Carolina, Arnold School of Public Health Columbia South Carolina USA

Publisher

Wiley

Subject

Public Health, Environmental and Occupational Health,Health Policy

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/jep.13537

Reference69 articles.

1. Frequent Users of Emergency Departments: The Myths, the Data, and the Policy Implications

2. Ten Years of Frequent Users in an Urban Emergency Department

3. Characteristics and predictors of adult frequent emergency department users in the United States: A systematic literature review

4. Frequent Users of Emergency Department Services: Gaps in Knowledge and a Proposed Research Agenda

5. Characteristics of Frequent Users of Emergency Departments

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Identifying vulnerable populations with symptomatic cholelithiasis at risk for increased health care utilization;Journal of Trauma and Acute Care Surgery;2022-09-22

2. Mid-quantile regression for discrete responses;Statistical Methods in Medical Research;2022-02-28