The objective was to evaluate a novel intervention that integrates a psychological, values-based approach with coordinated care management. This paper describes an integrated comprehensive health record system to enhance engagement with a subset of those with complex needs; those who are high-needs, high-cost (HNHC). Patients are selected after conducting data analysis on the most costly and complex patients of a payer system that works with HNHC patients. Specifically, the Patient Care Intervention Center in Houston TX, applies the values-based intervention to HNHC patients. This pilot study reports data from 18 HNHC patients over 6 months; specifically, outcomes related to daily functioning, depression, working alliance, stages of change, and overall well-being. Additionally, this paper reports preliminary findings from qualitative monitoring of provider experiences implementing the values-based approach and integrated evaluation. HNHC patients improved their daily functioning over 4 months but no other significant changes were found over time. Patients self-reported mild depression, strong working alliances with their provider, being in the contemplation phase of change, and moderate well-being. There also was variation when patients completed the assessments and data points were collected. Although this is a small sample and short time frame, preliminary results suggest that the intervention has a positive impact on HNHC patient daily functioning. Provider accounts of the implementation describe using the evaluation items to inform their interactions with patients, and also suggest that patient literacy level impacts when data can be collected. Other changes to the approach are suggested.
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http://dx.doi.org/10.1089/pop.2019.0084 | DOI Listing |
BMC Health Serv Res
November 2024
Department of Public Health, Erasmus MC University Medical Center, Rotterdam, The Netherlands.
Background: Healthcare use by High-Need High-Cost (HNHC) patients is believed to be modifiable through better coordination of care. To identify patients for care management, a hybrid approach is recommended that combines clinical assessment of need with model-based prediction of cost. Models that predict high healthcare costs persisting over time are relevant but scarce.
View Article and Find Full Text PDFArch Public Health
November 2024
Shanghai Health Development Research Center, Shanghai, 20040, China.
Background: High-need, high-cost (HNHC) patients are a major focus of international healthcare reform. However, research on HNHC children in China remains limited. This study aims to classify HNHC pediatric patients, analyze the differences among groups, and explore the factors influencing HNHC status.
View Article and Find Full Text PDFClin Cardiol
June 2024
Novolink Health (Previously Duxlink Health), A Division of Cardiovascular Associates of America, Sunrise, Florida, USA.
Background: There is no widely accepted care model for managing high-need, high-cost (HNHC) patients. We hypothesized that a Home Heart Hospital (H3), which provides longitudinal, hospital-level at-home care, would improve care quality and reduce costs for HNHC patients with cardiovascular disease (CVD).
Objective: To evaluate associations between enrollment in H3, which provides longitudinal, hospital-level at-home care, care quality, and costs for HNHC patients with CVD.
J Med Educ Curric Dev
April 2024
Division of General Internal Medicine, Department of Medicine, UCLA, Los Angeles, CA, USA.
Objectives: High-need, high-cost (HNHC) patients represent a small proportion of patients in the US, but result in disproportionately higher healthcare utilization. Teaching Internal Medicine (IM) resident trainees to provide high value care for HNHC patients is critical. We sought to improve resident attitudes and increase clinical skills associated with treating HNHC patients by creating a curriculum that leveraged the UCLA Extensivist Program, a patient-centered medical home for HNHC patients.
View Article and Find Full Text PDFBMJ Open
September 2023
Department of Pharmaceutical Outcomes and Policy, University of Florida, Gainesville, Florida, USA.
Objective: To develop and validate a tool to predict patients with ischaemic heart disease (IHD) at risk of excessive healthcare resource utilisation.
Design: A retrospective cohort study.
Setting: We identified patients through the State of Florida Agency for Health Care Administration (N=586 518) inpatient dataset.
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