Literature DB >> 26591906

Models of Care for High-Need, High-Cost Patients: An Evidence Synthesis.

Douglas McCarthy1, Jamie Ryan, Sarah Klein.   

Abstract

This brief analyzes experts' reviews of evidence about care models designed to improve outcomes and reduce costs for patients with complex needs. It finds that successful models have several common attributes: targeting patients likely to benefit from the intervention; comprehensively assessing patients' risks and needs; relying on evidence-based care planning and patient monitoring; promoting patient and family engagement in self-care; coordinating care and communication among patients and providers; facilitating transitions from the hospital and referrals to community resources; and providing appropriate care in accordance with patients' preferences. Overall, the evidence of impact is modest and few of these models have been widely adopted in practice because of barriers, such as a lack of supportive financial incentives under fee-for-service reimbursement arrangements. Overcoming these challenges will be essential to achieving a higher-performing health care system for this patient population.

Entities:  

Mesh:

Year:  2015        PMID: 26591906

Source DB:  PubMed          Journal:  Issue Brief (Commonw Fund)        ISSN: 1558-6847


  38 in total

1.  A staggered edge: End-of-life care in patients with severe mental illness.

Authors:  Daniel Shalev; Katherine Brewster; Melissa R Arbuckle; Jon A Levenson
Journal:  Gen Hosp Psychiatry       Date:  2016-10-20       Impact factor: 3.238

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.  Engaging High-Need Patients in Intensive Outpatient Programs: A Qualitative Synthesis of Engagement Strategies.

Authors:  Donna M Zulman; Colin W O'Brien; Cindie Slightam; Jessica Y Breland; David Krauth; Andrea L Nevedal
Journal:  J Gen Intern Med       Date:  2018-08-10       Impact factor: 5.128

4.  Health system affiliation of physician organizations and quality of care for Medicare beneficiaries who have high needs.

Authors:  Ashley M Kranz; Maria DeYoreo; Blen Eshete-Roesler; Cheryl L Damberg; Mark Totten; José J Escarce; Justin W Timbie
Journal:  Health Serv Res       Date:  2020-10-06       Impact factor: 3.402

5.  Protocol for a Cluster Randomized Trial Comparing Team-Based to Clinician-Focused Implementation of Advance Care Planning in Primary Care.

Authors:  Annette M Totten; Lyle J Fagnan; David Dorr; LeAnn C Michaels; Shigeko Seiko Izumi; Angela Combe; France Légaré
Journal:  J Palliat Med       Date:  2019-09       Impact factor: 2.947

6.  Identifying the Population with Serious Illness: The "Denominator" Challenge.

Authors:  Amy S Kelley; Evan Bollens-Lund
Journal:  J Palliat Med       Date:  2017-11-10       Impact factor: 2.947

7.  High-Need Patients' Goals and Goal Progress in a Veterans Affairs Intensive Outpatient Care Program.

Authors:  Kristie Y Hsu; Cindie Slightam; Jonathan G Shaw; Aaron Tierney; Debra L Hummel; Mary K Goldstein; Evelyn T Chang; Derek Boothroyd; Donna M Zulman
Journal:  J Gen Intern Med       Date:  2019-05-28       Impact factor: 5.128

8.  Longitudinal Clustering of High-cost Patients' Spend Trajectories:Delineating Individual Behaviors from Aggregate Trends.

Authors:  Andrew M Placona; Rich King; Fengjuan Wang
Journal:  AMIA Annu Symp Proc       Date:  2018-12-05

9.  Disruptive Models in Primary Care: Caring for High-Needs, High-Cost Populations.

Authors:  Michael Hochman; Steven M Asch
Journal:  J Gen Intern Med       Date:  2017-02-27       Impact factor: 5.128

Review 10.  Partnering with Insurers in Caring for the Most Vulnerable Youth with Diabetes: NICH as an Integrator.

Authors:  Samantha A Barry; Lena Teplitsky; David V Wagner; Amit Shah; Brian T Rogers; Michael A Harris
Journal:  Curr Diab Rep       Date:  2017-04       Impact factor: 4.810

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