Literature DB >> 26735292

Attributes common to programs that successfully treat high-need, high-cost individuals.

Gerard F Anderson1, Jeromie Ballreich, Sara Bleich, Cynthia Boyd, Eva DuGoff, Bruce Leff, Claudia Salzburg, Jennifer Wolff.   

Abstract

Using literature review and interviews, we have identified 8 attributes of programs, such as accountable care organizations, readmission initiatives, special needs plans, care transition programs, and patient-centered medical homes, that successfully treat high-need, high-cost patients. These 8 attributes--illustrated here with specific examples--are specific ways to target these types of individuals, promote leadership at various levels, emphasize interaction with the care coordinator, use data strategically to refine the program, update the program periodically, allow physicians to spend more time with patients, and promote interaction among clinicians and high-need, high cost patients and their families.

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Year:  2015        PMID: 26735292

Source DB:  PubMed          Journal:  Am J Manag Care        ISSN: 1088-0224            Impact factor:   2.229


  26 in total

1.  The importance of health insurance claims data in creating learning health systems: evaluating care for high-need high-cost patients using the National Patient-Centered Clinical Research Network (PCORNet).

Authors:  Maureen A Smith; Mary S Vaughan-Sarrazin; Menggang Yu; Xinyi Wang; Peter A Nordby; Christine Vogeli; Jonathan Jaffery; Joshua P Metlay
Journal:  J Am Med Inform Assoc       Date:  2019-11-01       Impact factor: 4.497

2.  Characterizing Subgroups of High-Need, High-Cost Patients Based on Their Clinical Conditions: a Machine Learning-Based Analysis of Medicaid Claims Data.

Authors:  Sudhakar V Nuti; Patrick Doupe; Blanca Villanueva; Joseph Scarpa; Emilie Bruzelius; Aaron Baum
Journal:  J Gen Intern Med       Date:  2019-08       Impact factor: 5.128

3.  Potentially Preventable Spending Among High-Cost Medicare Patients: Implications for Healthcare Delivery.

Authors:  Dhruv Khullar; Yongkang Zhang; Rainu Kaushal
Journal:  J Gen Intern Med       Date:  2020-02-26       Impact factor: 5.128

4.  High-cost, high-need patients: the impact of reported penicillin allergy.

Authors:  Kimberly G Blumenthal; Nicolas M Oreskovic; Xiaoqing Fu; Fatma M Shebl; Christian M Mancini; Jennifer M Maniates; Rochelle P Walensky
Journal:  Am J Manag Care       Date:  2020-04       Impact factor: 2.229

5.  Persistence of High-Need Status Over Time Among Fee-for-Service Medicare Beneficiaries.

Authors:  Tamra Keeney; Nina R Joyce; David J Meyers; Vincent Mor; Emmanuelle Belanger
Journal:  Med Care Res Rev       Date:  2020-01-23       Impact factor: 3.929

6.  Health Care Hotspotting - A Randomized, Controlled Trial.

Authors:  Amy Finkelstein; Annetta Zhou; Sarah Taubman; Joseph Doyle
Journal:  N Engl J Med       Date:  2020-01-09       Impact factor: 91.245

7.  A Retrospective Study of Administrative Data to Identify High-Need Medicare Beneficiaries at Risk of Dying and Being Hospitalized.

Authors:  Emmanuelle Bélanger; Benjamin Silver; David J Meyers; Momotazur Rahman; Amit Kumar; Cyrus Kosar; Vincent Mor
Journal:  J Gen Intern Med       Date:  2019-01-02       Impact factor: 5.128

8.  Development and Implementation of an Interdisciplinary Intensive Primary Care Clinic for High-Need High-Cost Patients in a Safety Net Hospital.

Authors:  Paul Johnson; Mark Linzer; Nathan D Shippee; William Heegaard; Floyd Webb; Katherine Diaz Vickery
Journal:  Popul Health Manag       Date:  2019-08-05       Impact factor: 2.459

9.  A Novel Intervention for High-Need, High-Cost Medicaid Patients: a Study of ECHO Care.

Authors:  Miriam Komaromy; Judy Bartlett; Sarah R Gonzales-van Horn; Andrea Zurawski; Summers G Kalishman; Yiliang Zhu; Herbert T Davis; Venice Ceballos; Xi Sun; Martin Jurado; Kimberly Page; Allison Hamblin; Sanjeev Arora
Journal:  J Gen Intern Med       Date:  2019-10-30       Impact factor: 5.128

10.  Delivering Complex Care: Designing for Patients and Physicians.

Authors:  Jeremy A Epstein; Albert W Wu
Journal:  J Gen Intern Med       Date:  2020-09-15       Impact factor: 5.128

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