Literature DB >> 31919728

Understanding High-Utilizing Patients Based on Social Risk Profiles: a Latent Class Analysis Within an Integrated Health System.

Artair Rogers1,2,3, Yi R Hu4, Adam Schickedanz5, Laura Gottlieb6, Adam Sharp7,8.   

Abstract

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Year:  2020        PMID: 31919728      PMCID: PMC7351894          DOI: 10.1007/s11606-019-05510-9

Source DB:  PubMed          Journal:  J Gen Intern Med        ISSN: 0884-8734            Impact factor:   5.128


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  4 in total

1.  New ICD-10 version of the Charlson comorbidity index predicted in-hospital mortality.

Authors:  Vijaya Sundararajan; Toni Henderson; Catherine Perry; Amanda Muggivan; Hude Quan; William A Ghali
Journal:  J Clin Epidemiol       Date:  2004-12       Impact factor: 6.437

2.  Impact of Social Needs Navigation on Utilization Among High Utilizers in a Large Integrated Health System: a Quasi-experimental Study.

Authors:  Adam Schickedanz; Adam Sharp; Yi R Hu; Nirav R Shah; John L Adams; Damon Francis; Artair Rogers
Journal:  J Gen Intern Med       Date:  2019-11       Impact factor: 5.128

Review 3.  The effectiveness of disease and case management for people with diabetes. A systematic review.

Authors:  Susan L Norris; Phyllis J Nichols; Carl J Caspersen; Russell E Glasgow; Michael M Engelgau; Leonard Jack; George Isham; Susan R Snyder; Vilma G Carande-Kulis; Sanford Garfield; Peter Briss; David McCulloch
Journal:  Am J Prev Med       Date:  2002-05       Impact factor: 5.043

4.  Mispricing in the medicare advantage risk adjustment model.

Authors:  Jing Chen; Randall P Ellis; Katherine H Toro; Arlene S Ash
Journal:  Inquiry       Date:  2015-05-01       Impact factor: 1.730

  4 in total
  3 in total

1.  Association of Social Needs and Healthcare Utilization Among Medicare and Medicaid Beneficiaries in the Accountable Health Communities Model.

Authors:  Jennifer Holcomb; Linda Highfield; Gayla M Ferguson; Robert O Morgan
Journal:  J Gen Intern Med       Date:  2022-02-07       Impact factor: 6.473

2.  Clinical Outcome and Utilization Profiles Among Latent Groups of High-Risk Patients: Moving from Segmentation Towards Intervention.

Authors:  Franya Hutchins; Joshua Thorpe; Matthew L Maciejewski; Xinhua Zhao; Karin Daniels; Hongwei Zhang; Donna M Zulman; Stephan Fihn; Sandeep Vijan; Ann-Marie Rosland
Journal:  J Gen Intern Med       Date:  2021-11-03       Impact factor: 6.473

3.  Subgroups of High-Risk Veterans Affairs Patients Based on Social Determinants of Health Predict Risk of Future Hospitalization.

Authors:  Dan V Blalock; Matthew L Maciejewski; Donna M Zulman; Valerie A Smith; Janet Grubber; Ann-Marie Rosland; Hollis J Weidenbacher; Liberty Greene; Leah L Zullig; Heather E Whitson; Susan N Hastings; Anna Hung
Journal:  Med Care       Date:  2021-05-01       Impact factor: 3.178

  3 in total

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