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Chang ET, Huynh A, Yoo C, Yoon J, Zulman DM, Ong MK, Klein M, Eng J, Roy S, Stockdale SE, Jimenez EE, Denietolis A, Needleman J, Asch SM. Impact of Referring High-Risk Patients to Intensive Outpatient Primary Care Services: A Propensity Score-Matched Analysis. J Gen Intern Med 2024:10.1007/s11606-024-08923-3. [PMID: 39075268 DOI: 10.1007/s11606-024-08923-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Accepted: 06/26/2024] [Indexed: 07/31/2024]
Abstract
BACKGROUND Many healthcare systems have implemented intensive outpatient primary care programs with the hopes of reducing healthcare costs. OBJECTIVE The Veterans Health Administration (VHA) piloted primary care intensive management (PIM) for patients at high risk for hospitalization or death, or "high-risk." We evaluated whether a referral model would decrease high-risk patient costs. DESIGN Retrospective cohort study using a quasi-experimental design comparing 456 high-risk patients referred to PIM from October 2017 to September 2018 to 415 high-risk patients matched on propensity score. PARTICIPANTS Veterans in the top 10th percentile of risk for 90-day hospitalization or death and recent hospitalization or emergency department (ED) visit. INTERVENTION PIM consisted of interdisciplinary teams that performed comprehensive assessments, intensive case management, and care coordination services. MAIN OUTCOMES AND MEASURES Change in VHA and non-VHA outpatient utilization, inpatient admissions, and costs 12 months pre- and post-index date. KEY RESULTS Of the 456 patients referred to PIM, 301 (66%) enrolled. High-risk patients referred to PIM had a marginal reduction in ED visits (- 0.7; [95% CI - 1.50 to 0.08]; p = 0.08) compared to propensity-matched high-risk patients; overall outpatient costs were similar. High-risk patients referred to PIM had similar number of medical/surgical hospitalizations (- 0.2; [95% CI, - 0.6 to 0.16]; p = 0.2), significant increases in length of stay (6.36; [CI, - 0.01 to 12.72]; p = 0.05), and higher inpatient costs ($22,628, [CI, $3587 to $41,669]; p = 0.02) than those not referred to PIM. CONCLUSIONS AND RELEVANCE VHA intensive outpatient primary care was associated with higher costs. Referral to intensive case management programs targets the most complex patients and may lead to increased utilization and costs, particularly in an integrated healthcare setting with robust patient-centered medical homes. TRIAL REGISTRATION PIM 2.0: Patient Aligned Care Team (PACT) Intensive Management (PIM) Project (PIM2). NCT04521816. https://clinicaltrials.gov/study/NCT04521816.
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Affiliation(s)
- Evelyn T Chang
- VHA Center for the Study of Healthcare Innovation, Implementation and Policy (CSHIIP), Los Angeles, CA, USA.
- Department of Medicine, VHA Greater Los Angeles Healthcare System, Los Angeles, CA, USA.
- Department of Medicine, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA, USA.
| | - Alexis Huynh
- VHA Center for the Study of Healthcare Innovation, Implementation and Policy (CSHIIP), Los Angeles, CA, USA
| | - Caroline Yoo
- VHA Center for the Study of Healthcare Innovation, Implementation and Policy (CSHIIP), Los Angeles, CA, USA
| | - Jean Yoon
- VHA Health Economics Resource Center (HERC), Menlo Park, CA, USA
- Department of General Internal Medicine, UCSF School of Medicine, San Francisco, CA, USA
| | - Donna M Zulman
- VHA HSR Center for Innovation to Implementation, Menlo Park, CA, USA
- Division of Primary Care and Population Health, Stanford University School of Medicine, Stanford, CA, USA
| | - Michael K Ong
- VHA Center for the Study of Healthcare Innovation, Implementation and Policy (CSHIIP), Los Angeles, CA, USA
- Department of Medicine, VHA Greater Los Angeles Healthcare System, Los Angeles, CA, USA
- Department of Medicine, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA, USA
- Department of Health Policy and Management, Fielding School of Public Health, University of California at Los Angeles, Los Angeles, CA, USA
| | - Melissa Klein
- Department of Medicine, VHA Northeast Ohio Healthcare System, Cleveland, OH, USA
| | - Jessica Eng
- On Lok Program of All-Inclusive Care for the Elderly (PACE), San Francisco, CA, USA
- Division of Geriatrics, University of California, San Francisco, CA, USA
| | - Sudip Roy
- VHA Salisbury Healthcare System, Salisbury, NC, USA
| | - Susan E Stockdale
- VHA Center for the Study of Healthcare Innovation, Implementation and Policy (CSHIIP), Los Angeles, CA, USA
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, USA
| | - Elvira E Jimenez
- VHA Center for the Study of Healthcare Innovation, Implementation and Policy (CSHIIP), Los Angeles, CA, USA
- Behavioral Neurology, Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA, USA
| | - Angela Denietolis
- VHA Office of Primary Care, 810 Vermont Ave, Washington, DC, 20420, USA
| | - Jack Needleman
- Department of Health Policy and Management, Fielding School of Public Health, University of California at Los Angeles, Los Angeles, CA, USA
| | - Steven M Asch
- VHA HSR Center for Innovation to Implementation, Menlo Park, CA, USA
- Division of Primary Care and Population Health, Stanford University School of Medicine, Stanford, CA, USA
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Swankoski KE, Reddy A, Grembowski D, Chang ET, Wong ES. Intensive care management for high-risk veterans in a patient-centered medical home - do some veterans benefit more than others? HEALTHCARE (AMSTERDAM, NETHERLANDS) 2023; 11:100677. [PMID: 36764053 DOI: 10.1016/j.hjdsi.2023.100677] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Revised: 11/30/2022] [Accepted: 01/22/2023] [Indexed: 02/11/2023]
Abstract
BACKGROUND Primary care intensive management programs utilize interdisciplinary care teams to comprehensively meet the complex care needs of patients at high risk for hospitalization. The mixed evidence on the effectiveness of these programs focuses on average treatment effects that may mask heterogeneous treatment effects (HTEs) among subgroups of patients. We test for HTEs by patients' demographic, economic, and social characteristics. METHODS Retrospective analysis of a VA randomized quality improvement trial. 3995 primary care patients at high risk for hospitalization were randomized to primary care intensive management (n = 1761) or usual primary care (n = 1731). We estimated HTEs on ED and hospital utilization one year after randomization using model-based recursive partitioning and a pre-versus post-with control group framework. Splitting variables included administratively collected demographic characteristics, travel distance, copay exemption, risk score for future hospitalizations, history of hospital discharge against medical advice, homelessness, and multiple residence ZIP codes. RESULTS There were no average or heterogeneous treatment effects of intensive management one year after enrollment. The recursive partitioning algorithm identified variation in effects by risk score, homelessness, and whether the patient had multiple residences in a year. Within each distinct subgroup, the effect of intensive management was not statistically significant. CONCLUSIONS Primary care intensive management did not affect acute care use of high-risk patients on average or differentially for patients defined by various demographic, economic, and social characteristics. IMPLICATIONS Reducing acute care use for high-risk patients is complex, and more work is required to identify patients positioned to benefit from intensive management programs.
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Affiliation(s)
- Kaylyn E Swankoski
- Department of Health Systems and Population Health, University of Washington, Seattle, WA, USA; VA Puget Sound Health Care System, Center of Innovation for Veteran-Centered and Value- Driven Care, Seattle, WA, USA.
| | - Ashok Reddy
- Department of Health Systems and Population Health, University of Washington, Seattle, WA, USA; VA Puget Sound Health Care System, Center of Innovation for Veteran-Centered and Value- Driven Care, Seattle, WA, USA; Division of General Internal Medicine, Department of Medicine, University of Washington, Seattle, WA, USA
| | - David Grembowski
- Department of Health Systems and Population Health, University of Washington, Seattle, WA, USA
| | - Evelyn T Chang
- VA Center for the Study of Healthcare Innovation, Implementation and Policy (CSHIIP), Los Angeles, CA, USA; Department of Medicine, VA Greater Los Angeles Healthcare System, Los Angeles, CA, USA; Department of Medicine, Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA, USA
| | - Edwin S Wong
- Department of Health Systems and Population Health, University of Washington, Seattle, WA, USA; VA Puget Sound Health Care System, Center of Innovation for Veteran-Centered and Value- Driven Care, Seattle, WA, USA
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Chang ET, Asch SM, Eng J, Gutierrez F, Denietolis A, Atkins D. What Is the Return on Investment of Caring for Complex High-need, High-cost Patients? J Gen Intern Med 2021; 36:3541-3544. [PMID: 34508291 PMCID: PMC8606499 DOI: 10.1007/s11606-021-07110-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/11/2021] [Accepted: 08/20/2021] [Indexed: 11/26/2022]
Abstract
Randomized controlled trials to improve care for complex, high-need, high-cost patients have not consistently demonstrated a relative decrease in acute care utilization or cost savings. However, the Veterans Health Administration (VHA) has been able to glean lessons from these trials and generate realistic expectations for success. Lessons include the following: (1) combining population management tools (e.g., risk scores) and clinician judgment is more effective than either alone to identify the patients best suited for intensive management; (2) treatment adherence and engagement may contribute more to preventable emergency department visits and hospitalizations than care coordination; and (3) efforts should focus on assessing for and treating those risk factors that are most amenable to intervention. Because it is unlikely that cost savings can fund add-on intensive management programs, the VHA Office of Primary Care plans to incorporate those intensive management practices that are feasible into existing patient-centered medical homes as a high reliability organization.
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Affiliation(s)
- Evelyn T Chang
- VA Center for the Study of Healthcare Innovation, Implementation and Policy (CSHIIP), Los Angeles, CA, USA.
- Department of General Internal Medicine, VA Greater Los Angeles Healthcare System, Los Angeles, CA, USA.
- Division of General Internal Medicine, Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA, USA.
| | - Steven M Asch
- VA HSR&D Center for Innovation to Implementation, Menlo Park, CA, USA
- Division of Primary Care and Population Health, Stanford University School of Medicine, Palo Alto, CA, USA
| | - Jessica Eng
- VA San Francisco Healthcare System, San Francisco, CA, USA
- University of California San Francisco, School of Medicine, San Francisco, CA, USA
| | | | | | - David Atkins
- VA Health Services Research and Development, Washington, DC, USA
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