Literature DB >> 17488192

Current and future directions in Medi-Cal chronic disease care management: a view from the top.

L Elizabeth Goldman1, Margaret Handley, Thomas G Rundall, Dean Schillinger.   

Abstract

OBJECTIVE: To determine the extent to which Medicaid managed care (MMC) organizations are engaged in chronic disease care management (CDCM), tailor CDCM for diverse populations, or plan to expand CDCM. STUDY
DESIGN: Web-based survey of 23 eligible California MMC health plan executives in fall 2005.
METHODS: Frequency distributions of survey responses.
RESULTS: Nineteen (83%) of 23 executives responded, representing 2.5 million beneficiaries. Eighteen (95%) MMC plans reported implementing 1 or more elements of CDCM. Although plans used a wide range of CDCM strategies to reach performance goals, most implemented provider awareness activities such as offering guidelines or disease-specific feedback to physician groups. More than half of the plans reported interest in expanding CDCM to include more active interventions such as disease registries, pay for performance, telephone counseling to patients, and other self-management support programs. Few plans reported tailoring their CDCM to vulnerable member populations such as those with limited literacy or limited English proficiency. Executives reported that insufficient financial resources at the plan level, lack of organizational leadership and commitment in physician organizations, and limited information technology in physician offices were barriers to CDCM expansion.
CONCLUSIONS: California MMC health plans reported substantial interest in CDCM and a desire to increase CDCM. Representatives reported intentions to expand to strategies that more directly engage providers and patients. To ensure that the growing number of vulnerable enrollees with chronic disease receive high-quality care, policy efforts should focus on enabling MMC health plans to more consistently implement and target population-based strategies such as CDCM.

Entities:  

Mesh:

Year:  2007        PMID: 17488192

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


  6 in total

1.  Economic impact of a Medicaid population health management program.

Authors:  George Rust; Harry Strothers; William Johnson Miller; Susan McLaren; Barbara Moore; Usha Sambamoorthi
Journal:  Popul Health Manag       Date:  2011-04-20       Impact factor: 2.459

2.  Automated Telephone Self-Management Support for Diabetes in a Low-Income Health Plan: A Health Care Utilization and Cost Analysis.

Authors:  Judy Quan; Alexandra K Lee; Margaret A Handley; Neda Ratanawongsa; Urmimala Sarkar; Samuel Tseng; Dean Schillinger
Journal:  Popul Health Manag       Date:  2015-06-23       Impact factor: 2.459

3.  Preferences for self-management support: findings from a survey of diabetes patients in safety-net health systems.

Authors:  Urmimala Sarkar; John D Piette; Ralph Gonzales; Daniel Lessler; Lisa D Chew; Brendan Reilly; Jolene Johnson; Melanie Brunt; Jennifer Huang; Marsha Regenstein; Dean Schillinger
Journal:  Patient Educ Couns       Date:  2007-11-07

Review 4.  Advances in Motivational Interviewing for Pediatric Obesity: Results of the Brief Motivational Interviewing to Reduce Body Mass Index Trial and Future Directions.

Authors:  Ken Resnicow; Donna Harris; Richard Wasserman; Robert P Schwartz; Veronica Perez-Rosas; Rada Mihalcea; Linda Snetselaar
Journal:  Pediatr Clin North Am       Date:  2016-06       Impact factor: 3.278

5.  Diabetes health information technology innovation to improve quality of life for health plan members in urban safety net.

Authors:  Neda Ratanawongsa; Margaret A Handley; Urmimala Sarkar; Judy Quan; Kelly Pfeifer; Catalina Soria; Dean Schillinger
Journal:  J Ambul Care Manage       Date:  2014 Apr-Jun

6.  Cost-effectiveness of automated telephone self-management support with nurse care management among patients with diabetes.

Authors:  Margaret A Handley; Martha Shumway; Dean Schillinger
Journal:  Ann Fam Med       Date:  2008 Nov-Dec       Impact factor: 5.166

  6 in total

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