Literature DB >> 11067375

High-risk population health management--achieving improved patient outcomes and near-term financial results.

J P Lynch1, S A Forman, S Graff, M C Gunby.   

Abstract

OBJECTIVE: A managed care organization sought to achieve efficiencies in care delivery and cost savings by anticipating and better caring for its frail and least stable members. STUDY
DESIGN: Time sequence case study of program intervention across an entire managed care population in its first year compared with the prior baseline year. PATIENTS AND METHODS: Key attributes of the intervention included predictive registries of at-risk members based on existing data, relentless focus on the high-risk group, an integrated clinical and psychosocial approach to assessments and are planning, a reengineered care management process, secured Internet applications enabling rapid implementation and broad connectivity, and population-based outcomes metrics derived from widely used measures of resource utilization and functional status.
RESULTS: Concentrating on the highest-risk group, which averaged just 1.1% prevalence in the total membership, yielded bottom line results. When the year before program implementation (July 1997 through June 1998) was compared with the subsequent year, the total population's annualized commercial admission rate was reduced 5.3%, and seniors' was reduced 3.0%. A claims-paid analysis exclusively of the highest-risk group revealed that their efficiencies and savings overwhelmingly contributed to the membershipwide effect. This subgroup's costs dropped 35.7% from preprogram levels of $2590 per member per month (excluding pharmaceuticals). During the same time, patient-derived cross-sectional functional status rose 12.5%.
CONCLUSIONS: A sharply focused, Internet-deployed case management strategy achieved economic and functional status results on a population basis and produced systemwide savings in its first year of implementation.

Entities:  

Mesh:

Year:  2000        PMID: 11067375

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


  5 in total

1.  Proactive population health management in the context of a regional health information exchange using standards-based decision support.

Authors:  David F Lobach; Kensaku Kawamoto; Kevin J Anstrom; Kevin R Kooy; Eric L Eisenstein; Garry M Silvey; Janese M Willis; Frederick Johnson; Jessica Simo
Journal:  AMIA Annu Symp Proc       Date:  2007-10-11

2.  Building care systems to improve access for high-risk and vulnerable veteran populations.

Authors:  Thomas P O'Toole; P A Pirraglia; D Dosa; C Bourgault; S Redihan; M B O'Toole; J Blumen
Journal:  J Gen Intern Med       Date:  2011-11       Impact factor: 5.128

3.  Predicting persistently high primary care use.

Authors:  James M Naessens; Macaran A Baird; Holly K Van Houten; David J Vanness; Claudia R Campbell
Journal:  Ann Fam Med       Date:  2005 Jul-Aug       Impact factor: 5.166

4.  A randomized trial of population-based clinical decision support to manage health and resource use for Medicaid beneficiaries.

Authors:  David F Lobach; Kensaku Kawamoto; Kevin J Anstrom; Garry M Silvey; Janese M Willis; Fred S Johnson; Rex Edwards; Jessica Simo; Pam Phillips; David R Crosslin; Eric L Eisenstein
Journal:  J Med Syst       Date:  2013-01-13       Impact factor: 4.460

Review 5.  Key aspects related to implementation of risk stratification in health care systems-the ASSEHS study.

Authors:  Joana Mora; Miren David Iturralde; Lucía Prieto; Cristina Domingo; Marie-Pierre Gagnon; Catalina Martínez-Carazo; Anna Giné March; Daniele De Massari; Tino Martí; Marco Nalin; Francesca Avolio; Jean Bousquet; Esteban de Manuel Keenoy
Journal:  BMC Health Serv Res       Date:  2017-05-05       Impact factor: 2.655

  5 in total

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