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Edwards ST, O'Neill A, Niederhausen M, Salvi A, Laliberte A, Saha S, Hynes DM, Pizer S, Kinosian B. Trajectories of care and outcomes of Veterans receiving home-based primary care. J Am Geriatr Soc 2024; 72:80-90. [PMID: 37772617 DOI: 10.1111/jgs.18607] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Revised: 08/18/2023] [Accepted: 09/04/2023] [Indexed: 09/30/2023]
Abstract
BACKGROUND Veterans Affairs (VA) home-based primary care (HBPC) provides comprehensive longitudinal care to patients with complex, chronic disabling disease. While enrollment is associated with lower hospitalization rates and costs, detailed trajectories have not been well described. METHODS We performed a longitudinal descriptive study of patients newly enrolled in VA HBPC in fiscal year (FY) 2015. We extracted demographics, comorbidities, functional status, and social supports from VA and Medicare data and examined patterns of care and clinical outcomes, including hospital, nursing home (NH), hospice use and mortality from FY2015-2017. We present results using descriptive statistics, alluvial plots, and heat maps. RESULTS We identified 10,571 HBPC enrollees in FY2015; mean age was 77.7. HBPC patients commonly had chronic medical conditions with high self-management burden (e.g., diabetes 48.2%) and disabling conditions such as dementia (39.3%). Over half had ≥2 deficits in activities of daily living, 46% had caregivers with functional limitations or no caregiver, and 25% resided in a socially deprived area. Patients experienced variable care trajectories. Mean time enrolled in HBPC was 331 days, 8.3% of patients were discharged after 3 months, and 22.8% stayed enrolled for over 2 years. Institutional health care use declined in the 6 months after initial enrollment: (e.g., hospital: 41%-25%, NH: 34%-11%). At 2 years, 36% of patients had died; among decedents, 58% received hospice and 72% died in a non-institutional setting. In the last 180 days of life, 84% of time was spent at home, and once enrolled in hospice, 97% of time was spent outside of institutional care. CONCLUSIONS HBPC patients experience highly variable care trajectories but on average have reductions in acute care use and spend a majority of time in non-institutional settings. These data allow for a nuanced understanding of HBPC, providing a platform for monitoring, evaluating, and improving program function.
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Affiliation(s)
- Samuel T Edwards
- Section of General Internal Medicine, VA Portland Health Care System, Portland, Oregon, USA
- Division of General Internal Medicine and Geriatrics, Oregon Health and Science University, Portland, Oregon, USA
- Center to Improve Veteran Involvement in Care, VA Portland Health Care System, Portland, Oregon, USA
| | - Allison O'Neill
- Center to Improve Veteran Involvement in Care, VA Portland Health Care System, Portland, Oregon, USA
| | - Meike Niederhausen
- Center to Improve Veteran Involvement in Care, VA Portland Health Care System, Portland, Oregon, USA
- Oregon Health and Science University - Portland State University School of Public Health, Oregon Health and Science University, Portland, Oregon, USA
| | - Apoorva Salvi
- Center to Improve Veteran Involvement in Care, VA Portland Health Care System, Portland, Oregon, USA
| | - Avery Laliberte
- Center to Improve Veteran Involvement in Care, VA Portland Health Care System, Portland, Oregon, USA
| | - Somnath Saha
- Section of General Internal Medicine, VA Portland Health Care System, Portland, Oregon, USA
- Center to Improve Veteran Involvement in Care, VA Portland Health Care System, Portland, Oregon, USA
- Division of General Internal Medicine, Johns Hopkins University, Baltimore, Maryland, USA
| | - Denise M Hynes
- Center to Improve Veteran Involvement in Care, VA Portland Health Care System, Portland, Oregon, USA
- Health Management and Policy Program, School of Public Health and Nutrition, College of Health, Oregon State University, Corvallis, Oregon, USA
- School of Nursing, Oregon Health and Science University, Portland, Oregon, USA
| | - Steven Pizer
- Health Law, Policy, and Management, Boston University School of Public Health, Boston, Massachusetts, USA
- Partnered Evidence-Based Policy Resource Center, Department of Veterans Affairs, Boston, Massachusetts, USA
| | - Bruce Kinosian
- Division of Geriatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Geriatrics and Extended Care Data Analysis Center, Cpl Michael J Crescenz VA Medical Center, Philadelphia, Pennsylvania, USA
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Jones KA, Clark AG, Greiner MA, Sandoe E, Giri A, Hammill BG, Van Houtven CH, Higgins A, Kaufman B. Linking Medicare-Medicaid Claims for Patient-Centered Outcomes Research Among Dual-Eligible Beneficiaries. Med Care 2023; 61:S131-S138. [PMID: 37963032 PMCID: PMC10635344 DOI: 10.1097/mlr.0000000000001895] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2023]
Abstract
BACKGROUND Evaluation of Medicare-Medicaid integration models' effects on patient-centered outcomes and costs requires multiple data sources and validated processes for linkage and reconciliation. OBJECTIVE To describe the opportunities and limitations of linking state-specific Medicaid and Centers for Medicare & Medicaid Services administrative claims data to measure patient-centered outcomes for North Carolina dual-eligible beneficiaries. RESEARCH DESIGN We developed systematic processes to (1) validate the beneficiary ID linkage using sex and date of birth in a beneficiary ID crosswalk, (2) verify dates of dual enrollment, and (3) reconcile Medicare-Medicaid claims data to support the development and use of patient-centered outcomes in linked data. PARTICIPANTS North Carolina Medicaid beneficiaries with full Medicaid benefits and concurrent Medicare enrollment (FBDE) between 2014 and 2017. MEASURES We identified need-based subgroups based on service use and eligibility program requirements. We calculated utilization and costs for Medicaid and Medicare, matched Medicaid claims to Medicare service categories where possible, and reported outcomes by the payer. Some services were covered only by Medicaid or Medicare, including Medicaid-only covered home and community-based services (HCBS). RESULTS Of 498,030 potential dual enrollees, we verified the linkage and FBDE eligibility of 425,664 (85.5%) beneficiaries, including 281,174 adults enrolled in Medicaid and Medicare fee-for-service. The most common need-based subgroups were intensive behavioral health service users (26.2%) and HCBS users (10.8%) for adults under age 65, and HCBS users (20.6%) and nursing home residents (12.4%) for adults age 65 and over. Medicaid funded 42% and 49% of spending for adults under 65 and adults 65 and older, respectively. Adults under 65 had greater behavioral health service utilization but less skilled nursing facility, HCBS, and home health utilization compared with adults 65 and older. CONCLUSIONS Linkage of Medicare-Medicaid data improves understanding of patient-centered outcomes among FBDE by combining Medicare-funded acute and ambulatory services with Medicaid-funded HCBS. Using linked Medicare-Medicaid data illustrates the diverse patient experience within FBDE beneficiaries, which is key to informing patient-centered outcomes, developing and evaluating integrated Medicare and Medicaid programs, and promoting health equity.
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Affiliation(s)
- Kelley A. Jones
- Department of Population Health Sciences, Duke University School of Medicine, Durham
| | - Amy G. Clark
- Department of Population Health Sciences, Duke University School of Medicine, Durham
| | - Melissa A. Greiner
- Department of Population Health Sciences, Duke University School of Medicine, Durham
| | - Emma Sandoe
- Department of Population Health Sciences, Duke University School of Medicine, Durham
- North Carolina Department of Health and Human Services, Raleigh
| | - Abhigya Giri
- Duke Margolis Center for Health Policy, Duke University, Durham, NC
| | - Bradley G. Hammill
- Department of Population Health Sciences, Duke University School of Medicine, Durham
| | - Courtney H. Van Houtven
- Department of Population Health Sciences, Duke University School of Medicine, Durham
- Duke Margolis Center for Health Policy, Duke University, Durham, NC
- Center of Innovation to Accelerate Discovery and Practice Transformation (ADAPT), Durham VA
| | - Aparna Higgins
- Duke Margolis Center for Health Policy, Duke University, Durham, NC
- Center of Innovation to Accelerate Discovery and Practice Transformation (ADAPT), Durham VA
- Ananya Health Solutions LLC, Dunn Loring, VA Medical Center, Durham, NC
| | - Brystana Kaufman
- Department of Population Health Sciences, Duke University School of Medicine, Durham
- Duke Margolis Center for Health Policy, Duke University, Durham, NC
- Center of Innovation to Accelerate Discovery and Practice Transformation (ADAPT), Durham VA
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Dennis PA, Stechuchak KM, Van Houtven CH, Decosimo K, Coffman CJ, Grubber JM, Lindquist JH, Sperber NR, Hastings SN, Shepherd‐Banigan M, Kaufman BG, Smith VA. Informing a home time measure reflective of quality of life: A data driven investigation of time frames and settings of health care utilization. Health Serv Res 2023; 58:1233-1244. [PMID: 37356820 PMCID: PMC10622302 DOI: 10.1111/1475-6773.14196] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/27/2023] Open
Abstract
OBJECTIVE To evaluate short- and long-term measures of health care utilization-days in the emergency department (ED), inpatient (IP) care, and rehabilitation in a post-acute care (PAC) facility-to understand how home time (i.e., days alive and not in an acute or PAC setting) corresponds to quality of life (QoL). DATA SOURCES Survey data on community-residing veterans combined with multipayer administrative data on health care utilization. STUDY DESIGN VA or Medicare health care utilization, quantified as days of care received in the ED, IP, and PAC in the 6 and 18 months preceding survey completion, were used to predict seven QoL-related measures collected during the survey. Elastic net machine learning was used to construct models, with resulting regression coefficients used to develop a weighted utilization variable. This was then compared with an unweighted count of days with any utilization. PRINCIPAL FINDINGS In the short term (6 months), PAC utilization emerged as the most salient predictor of decreased QoL, whereas no setting predominated in the long term (18 months). Results varied by outcome and time frame, with some protective effects observed. In the 6-month time frame, each weighted day of utilization was associated with a greater likelihood of activity of daily living deficits (0.5%, 95% CI: 0.1%-0.9%), as was the case with each unweighted day of utilization (0.6%, 95% CI: 0.3%-1.0%). The same was true in the 18-month time frame (for both weighted and unweighted, 0.1%, 95% CI: 0.0%-0.3%). Days of utilization were also significantly associated with greater rates of instrumental ADL deficits and fair/poor health, albeit not consistently across all models. Neither measure outperformed the other in direct comparisons. CONCLUSIONS These results can provide guidance on how to measure home time using multipayer administrative data. While no setting predominated in the long term, all settings were significant predictors of QoL measures.
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Affiliation(s)
- Paul A. Dennis
- Center of Innovation to Accelerate Discovery and Practice Transformation, Durham Veterans Affairs Medical CenterDurhamNorth CarolinaUSA
- Department of Population Health SciencesDuke University School of MedicineDurhamNorth CarolinaUSA
| | - Karen M. Stechuchak
- Center of Innovation to Accelerate Discovery and Practice Transformation, Durham Veterans Affairs Medical CenterDurhamNorth CarolinaUSA
| | - Courtney H. Van Houtven
- Center of Innovation to Accelerate Discovery and Practice Transformation, Durham Veterans Affairs Medical CenterDurhamNorth CarolinaUSA
- Department of Population Health SciencesDuke University School of MedicineDurhamNorth CarolinaUSA
- Duke‐Margolis Center for Health PolicyDuke UniversityDurhamNorth CarolinaUSA
| | - Kasey Decosimo
- Center of Innovation to Accelerate Discovery and Practice Transformation, Durham Veterans Affairs Medical CenterDurhamNorth CarolinaUSA
| | - Cynthia J. Coffman
- Center of Innovation to Accelerate Discovery and Practice Transformation, Durham Veterans Affairs Medical CenterDurhamNorth CarolinaUSA
- Department of Biostatistics and BioinformaticsDuke University Medical CenterDurhamNorth CarolinaUSA
| | - Janet M. Grubber
- Center of Innovation to Accelerate Discovery and Practice Transformation, Durham Veterans Affairs Medical CenterDurhamNorth CarolinaUSA
- Cooperative Studies Program Coordinating Center, Veterans Affairs Boston Healthcare SystemBostonMassachusettsUSA
| | - Jennifer H. Lindquist
- Center of Innovation to Accelerate Discovery and Practice Transformation, Durham Veterans Affairs Medical CenterDurhamNorth CarolinaUSA
| | - Nina R. Sperber
- Center of Innovation to Accelerate Discovery and Practice Transformation, Durham Veterans Affairs Medical CenterDurhamNorth CarolinaUSA
- Department of Population Health SciencesDuke University School of MedicineDurhamNorth CarolinaUSA
| | - S. Nicole Hastings
- Center of Innovation to Accelerate Discovery and Practice Transformation, Durham Veterans Affairs Medical CenterDurhamNorth CarolinaUSA
- Department of Population Health SciencesDuke University School of MedicineDurhamNorth CarolinaUSA
- Department of MedicineDuke UniversityDurhamNorth CarolinaUSA
- Geriatrics Research, Education, and Clinical Center, Durham VA Health Care SystemDurhamNorth CarolinaUSA
- Center for the Study of Aging and Human DevelopmentDuke UniversityDurhamNorth CarolinaUSA
| | - Megan Shepherd‐Banigan
- Center of Innovation to Accelerate Discovery and Practice Transformation, Durham Veterans Affairs Medical CenterDurhamNorth CarolinaUSA
- Department of Population Health SciencesDuke University School of MedicineDurhamNorth CarolinaUSA
- Duke‐Margolis Center for Health PolicyDuke UniversityDurhamNorth CarolinaUSA
| | - Brystana G. Kaufman
- Center of Innovation to Accelerate Discovery and Practice Transformation, Durham Veterans Affairs Medical CenterDurhamNorth CarolinaUSA
- Department of Population Health SciencesDuke University School of MedicineDurhamNorth CarolinaUSA
- Duke‐Margolis Center for Health PolicyDuke UniversityDurhamNorth CarolinaUSA
| | - Valerie A. Smith
- Center of Innovation to Accelerate Discovery and Practice Transformation, Durham Veterans Affairs Medical CenterDurhamNorth CarolinaUSA
- Department of Population Health SciencesDuke University School of MedicineDurhamNorth CarolinaUSA
- Department of MedicineDuke UniversityDurhamNorth CarolinaUSA
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Haywood HB, Fonarow GC, Khan MS, Van Spall HGC, Morris AA, Nassif ME, Kittleson MM, Butler J, Greene SJ. Hospital at Home as a Treatment Strategy for Worsening Heart Failure. Circ Heart Fail 2023; 16:e010456. [PMID: 37646170 DOI: 10.1161/circheartfailure.122.010456] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Accepted: 07/17/2023] [Indexed: 09/01/2023]
Abstract
Hospital at home (HaH) is an innovative care model that may be particularly suited for heart failure (HF). Outpatient visits and inpatient care have been the 2 traditional settings for HF care, yet may not match the social and medical needs of patients at all times. Alternative models such as HaH may represent an effective and patient-centered option for select patients with worsening HF. To date, limited research in HF and other disease states has supported HaH as being safe and lower cost than traditional inpatient admission. Supporting HaH are new payment structures, such as Medicare's Acute Hospital Care at Home waiver program. In combination with outpatient visits, outpatient intravenous diuretic clinics, inpatient care, and cardiac intensive care, HaH could be a core component of a comprehensive care model with the potential to match resource utilization with the needs of patients across the spectrum of HF severity, and improve patient outcomes.
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Affiliation(s)
- Hubert B Haywood
- Department of Medicine, Duke University Medical Center, Durham, NC (H.B.H.)
| | - Gregg C Fonarow
- Division of Cardiology, Ahmanson-UCLA Cardiomyopathy Center, University of California Los Angeles Medical Center (G.C.F.)
| | | | - Harriette G C Van Spall
- Department of Medicine (H.G.C.V.S.), McMaster University, Hamilton, ON, Canada
- Population Health Research Institute (H.G.C.V.S.), McMaster University, Hamilton, ON, Canada
| | | | - Michael E Nassif
- Saint Luke's Mid America Heart Institute, University of Missouri-Kansas City (M.E.N.)
| | - Michelle M Kittleson
- Department of Cardiology, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA (M.M.K.)
| | - Javed Butler
- Baylor Scott and White Research Institute, Dallas, TX (J.B.)
- Department of Medicine, University of Mississippi, Jackson (J.B.)
| | - Stephen J Greene
- Division of Cardiology, Duke University Medical Center, Durham, NC (M.S.K., S.J.G.)
- Duke Clinical Research Institute, Durham, NC (S.J.G.)
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5
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Gotanda H, Qureshi N, Nuckols T, Tsugawa Y. Associations between days spent at home and patient-reported outcomes among frail older adults. J Am Geriatr Soc 2023; 71:2983-2986. [PMID: 37074095 PMCID: PMC10523895 DOI: 10.1111/jgs.18384] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Revised: 03/20/2023] [Accepted: 03/22/2023] [Indexed: 04/20/2023]
Affiliation(s)
- Hiroshi Gotanda
- Division of General Internal Medicine, Cedars-Sinai Medical Center, Los Angeles, CA
| | - Nabeel Qureshi
- Division of General Internal Medicine, Cedars-Sinai Medical Center, Los Angeles, CA
- Pardee RAND Graduate School, Santa Monica, CA
| | - Teryl Nuckols
- Division of General Internal Medicine, Cedars-Sinai Medical Center, Los Angeles, CA
- Pardee RAND Graduate School, Santa Monica, CA
| | - Yusuke Tsugawa
- Division of General Internal Medicine and Health Services Research, David Geffen School of Medicine at UCLA, Los Angeles, CA
- Department of Health Policy and Management, UCLA Fielding School of Public Health, Los Angeles, CA
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6
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Piazza KM, Ashcraft LE, Rose L, Hall DE, Brown RT, Bowen MEL, Mavandadi S, Brecher AC, Keddem S, Kiosian B, Long JA, Werner RM, Burke RE. Study protocol: Type III hybrid effectiveness-implementation study implementing Age-Friendly evidence-based practices in the VA to improve outcomes in older adults. Implement Sci Commun 2023; 4:57. [PMID: 37231459 PMCID: PMC10209584 DOI: 10.1186/s43058-023-00431-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Accepted: 04/23/2023] [Indexed: 05/27/2023] Open
Abstract
BACKGROUND Unmet care needs among older adults accelerate cognitive and functional decline and increase medical harms, leading to poorer quality of life, more frequent hospitalizations, and premature nursing home admission. The Department of Veterans Affairs (VA) is invested in becoming an "Age-Friendly Health System" to better address four tenets associated with reduced harm and improved outcomes among the 4 million Veterans aged 65 and over receiving VA care. These four tenets focus on "4Ms" that are fundamental to the care of older adults, including (1) what Matters (ensuring that care is consistent with each person's goals and preferences); (2) Medications (only using necessary medications and ensuring that they do not interfere with what matters, mobility, or mentation); (3) Mentation (preventing, identifying, treating, and managing dementia, depression, and delirium); and (4) Mobility (promoting safe movement to maintain function and independence). The Safer Aging through Geriatrics-Informed Evidence-Based Practices (SAGE) Quality Enhancement Research Initiative (QUERI) seeks to implement four evidence-based practices (EBPs) that have shown efficacy in addressing these core tenets of an "Age-Friendly Health System," leading to reduced harm and improved outcomes in older adults. METHODS We will implement four EBPs in 9 VA medical centers and associated outpatient clinics using a type III hybrid effectiveness-implementation stepped-wedge trial design. We selected four EBPs that align with Age-Friendly Health System principles: Surgical Pause, EMPOWER (Eliminating Medications Through Patient Ownership of End Results), TAP (Tailored Activities Program), and CAPABLE (Community Aging in Place - Advancing Better Living for Elders). Guided by the Pragmatic Robust Implementation and Sustainability Model (PRISM), we are comparing implementation as usual vs. active facilitation. Reach is our primary implementation outcome, while "facility-free days" is our primary effectiveness outcome across evidence-based practice interventions. DISCUSSION To our knowledge, this is the first large-scale randomized effort to implement "Age-Friendly" aligned evidence-based practices. Understanding the barriers and facilitators to implementing these evidence-based practices is essential to successfully help shift current healthcare systems to become Age-Friendly. Effective implementation of this project will improve the care and outcomes of older Veterans and help them age safely within their communities. TRIAL REGISTRATION Registered 05 May 2021, at ISRCTN #60,657,985. REPORTING GUIDELINES Standards for Reporting Implementation Studies (see attached).
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Affiliation(s)
- Kirstin Manges Piazza
- Center for Health Equity Research and Promotion, Corporal Michael J. Crescenz VA Medical Center, 3900 Woodland Ave, Philadelphia, PA, USA.
| | - Laura Ellen Ashcraft
- Center for Health Equity Research and Promotion, Corporal Michael J. Crescenz VA Medical Center, 3900 Woodland Ave, Philadelphia, PA, USA
- Division of General Internal Medicine, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Liam Rose
- Stanford-Surgery Policy Improvement Research & Education Center, Stanford University, Stanford, CA, USA
- Health Economics Resource Center, VA Palo Alto Health Care System, Palo Alto, CA, USA
| | - Daniel E Hall
- Center for Health Equity Research and Promotion, VA Pittsburgh Healthcare System, Pittsburgh, PA, USA
- Geriatric Research Education and Clinical Center, VA Pittsburgh Healthcare System, Pittsburgh, PA, USA
- Department of Surgery, University of Pittsburgh, Pittsburgh, PA, USA
- Wolff Center, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Rebecca T Brown
- Center for Health Equity Research and Promotion, Corporal Michael J. Crescenz VA Medical Center, 3900 Woodland Ave, Philadelphia, PA, USA
- Division of General Internal Medicine, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Geriatrics and Extended Care Program, Corporal Michael Crescenz VA Medical Center, Philadelphia, PA, USA
| | - Mary Elizabeth Libbey Bowen
- Center for Health Equity Research and Promotion, Corporal Michael J. Crescenz VA Medical Center, 3900 Woodland Ave, Philadelphia, PA, USA
- Education, and Clinical Center, VISN4 Mental Illness Research, Corporal Michael JCrescenz VA Medical Center, Philadelphia, PA, USA
| | - Shahrzad Mavandadi
- Center for Health Equity Research and Promotion, Corporal Michael J. Crescenz VA Medical Center, 3900 Woodland Ave, Philadelphia, PA, USA
- School of Nursing, University of Delaware, Newark, DE, USA
| | | | - Shimrit Keddem
- Center for Health Equity Research and Promotion, Corporal Michael J. Crescenz VA Medical Center, 3900 Woodland Ave, Philadelphia, PA, USA
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, USA
- Department of Family Medicine & Community Health, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Bruce Kiosian
- Center for Health Equity Research and Promotion, Corporal Michael J. Crescenz VA Medical Center, 3900 Woodland Ave, Philadelphia, PA, USA
- Division of General Internal Medicine, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Geriatrics and Extended Care Program, Corporal Michael Crescenz VA Medical Center, Philadelphia, PA, USA
| | - Judith A Long
- Center for Health Equity Research and Promotion, Corporal Michael J. Crescenz VA Medical Center, 3900 Woodland Ave, Philadelphia, PA, USA
- Division of General Internal Medicine, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, USA
| | - Rachel M Werner
- Center for Health Equity Research and Promotion, Corporal Michael J. Crescenz VA Medical Center, 3900 Woodland Ave, Philadelphia, PA, USA
- Division of General Internal Medicine, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, USA
| | - Robert E Burke
- Center for Health Equity Research and Promotion, Corporal Michael J. Crescenz VA Medical Center, 3900 Woodland Ave, Philadelphia, PA, USA
- Division of General Internal Medicine, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, USA
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The Program of All-Inclusive Care for the Elderly: An Update after 25 Years of Permanent Provider Status. J Am Med Dir Assoc 2022; 23:1893-1899. [PMID: 36220389 DOI: 10.1016/j.jamda.2022.09.004] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Revised: 09/09/2022] [Accepted: 09/10/2022] [Indexed: 11/08/2022]
Abstract
PACE is the gold standard for community-based integrated care. Over the 25 years as permanent provider status by Centers for Medicare and Medicaid Services, it has evolved in design and grown in numbers served. We review the evidence base, history, and future direction of PACE.
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Burke RE, Ashcraft LE, Manges K, Kinosian B, Lamberton CM, Bowen ME, Brown RT, Mavandadi S, Hall DE, Werner RM. What matters when it comes to measuring
Age‐Friendly
Health System transformation. J Am Geriatr Soc 2022; 70:2775-2785. [DOI: 10.1111/jgs.18002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Revised: 07/21/2022] [Accepted: 07/24/2022] [Indexed: 11/28/2022]
Affiliation(s)
- Robert E. Burke
- Center for Health Equity Research and Promotion, Corporal Crescenz VA Medical Center Philadelphia Pennsylvania USA
- Division of General Internal Medicine, Perelman School of Medicine University of Pennsylvania Philadelphia Pennsylvania USA
- Leonard Davis Institute of Health Economics University of Pennsylvania Philadelphia Pennsylvania USA
| | - Laura Ellen Ashcraft
- Center for Health Equity Research and Promotion, Corporal Crescenz VA Medical Center Philadelphia Pennsylvania USA
| | - Kirstin Manges
- Center for Health Equity Research and Promotion, Corporal Crescenz VA Medical Center Philadelphia Pennsylvania USA
| | - Bruce Kinosian
- Center for Health Equity Research and Promotion, Corporal Crescenz VA Medical Center Philadelphia Pennsylvania USA
- Leonard Davis Institute of Health Economics University of Pennsylvania Philadelphia Pennsylvania USA
- Division of Geriatric Medicine, Perelman School of Medicine University of Pennsylvania Philadelphia Pennsylvania USA
- Geriatrics and Extended Care Corporal Crescenz VA Medical Center Philadelphia Pennsylvania USA
| | - Cait M. Lamberton
- Wharton School at the University of Pennsylvania Philadelphia Pennsylvania USA
| | - Mary E. Bowen
- Center for Health Equity Research and Promotion, Corporal Crescenz VA Medical Center Philadelphia Pennsylvania USA
- School of Nursing University of Delaware Newark Delaware USA
| | - Rebecca T. Brown
- Center for Health Equity Research and Promotion, Corporal Crescenz VA Medical Center Philadelphia Pennsylvania USA
- Leonard Davis Institute of Health Economics University of Pennsylvania Philadelphia Pennsylvania USA
- Division of Geriatric Medicine, Perelman School of Medicine University of Pennsylvania Philadelphia Pennsylvania USA
- Geriatrics and Extended Care Corporal Crescenz VA Medical Center Philadelphia Pennsylvania USA
| | - Shahrzad Mavandadi
- Mental Illness Research, Education, and Clinical Center Corporal Crescenz VA Medical Center Philadelphia Pennsylvania USA
| | - Daniel E. Hall
- Center for Health Equity Research and Promotion VA Pittsburgh Healthcare System Pittsburgh Pennsylvania USA
- Department of Surgery, School of Medicine University of Pittsburgh Medical Center (UPMC) Pittsburgh Pennsylvania USA
- Geriatrics Research Education and Clinical Center VA Pittsburgh Healthcare System Pittsburgh Pennsylvania USA
- Wolff Center at University of Pittsburgh Medical Center Pittsburgh Pennsylvania USA
| | - Rachel M. Werner
- Center for Health Equity Research and Promotion, Corporal Crescenz VA Medical Center Philadelphia Pennsylvania USA
- Division of General Internal Medicine, Perelman School of Medicine University of Pennsylvania Philadelphia Pennsylvania USA
- Leonard Davis Institute of Health Economics University of Pennsylvania Philadelphia Pennsylvania USA
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Prusaczyk B, Burke RE. Age-friendly learning health systems: Opportunities for model synergy and care improvement. J Am Geriatr Soc 2022; 70:2458-2461. [PMID: 35652488 PMCID: PMC9378562 DOI: 10.1111/jgs.17901] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Revised: 04/10/2022] [Accepted: 05/01/2022] [Indexed: 11/30/2022]
Affiliation(s)
- Beth Prusaczyk
- Department of Medicine, Division of General Medical Sciences, Washington University School of Medicine in St. Louis, St. Louis, MO,Institute for Informatics, Washington University School of Medicine in St. Louis, St. Louis, MO
| | - Robert E. Burke
- Center for Health Equity Research and Promotion (CHERP), Corporal Michael Crescenz VA Medical Center, Philadelphia, PA,Division of General Internal Medicine, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA,Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA
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10
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Wu A, Fahey MT, Cui D, El‐Behesy B, Story DA. An evaluation of the outcome metric 'days alive and at home' in older patients after hip fracture surgery. Anaesthesia 2022; 77:901-909. [PMID: 35489814 PMCID: PMC9543156 DOI: 10.1111/anae.15742] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Revised: 03/31/2022] [Accepted: 04/06/2022] [Indexed: 01/11/2023]
Abstract
'Days alive and at home' is a validated measure that estimates the time spent at home, defined as the place of residence before admission to hospital. We evaluated this metric in older adults after hip fracture surgery and assessed two follow-up durations, 30 and 90 days. Patients aged ≥ 70 years who underwent hip fracture surgery were identified retrospectively via hospital admission and government mortality records. Patients who successfully returned home and were still alive within 90 days of surgery were distinguished from those who were not. Regression models were used to examine which variables were associated with failure to return home and number of days at home among those who did return, within 90 days of surgery. We analysed the records of 825 patients. Median (IQR [range]) number of days at home within 90 days (n = 788) was 54 (0-76 [0-88]) days and within 30 days (n = 797) it was 2 (0-21 [0-28]) days. Out of these, 274 (35%) patients did not return home within 90 days and 374 (47%) within 30 days after surgery. Known peri-operative risk-factors such as older age, pre-operative anaemia and postoperative acute renal impairment were associated with failure to return home. This study supports days alive and at home as a useful patient-centred outcome measure in older adults after hip fracture surgery. We recommend that this metric should be used in clinical trials and measured at 90, rather than 30, postoperative days. As nearly half of this patient population did not return home within 30 days, the shorter time-period catches fewer meaningful events.
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Affiliation(s)
- A. Wu
- Department of AnaestheticsMaroondah Hospital, Eastern HealthMelbourneAustralia,Faculty of Medicine, Nursing and Health SciencesMonash UniversityMelbourneAustralia
| | - M. T. Fahey
- Department of Health Sciences and BiostatisticsSwinburne University of TechnologyMelbourneAustralia,Department of Biostatistics and Clinical TrialsPeter MacCallum Cancer CentreMelbourneVictoriaAustralia
| | - D. Cui
- Faculty of Medicine, Nursing and Health SciencesMonash UniversityMelbourneAustralia,Department of AnaestheticsMaroondah Hospital, Eastern HealthMelbourneAustralia
| | - B. El‐Behesy
- Department of AnaestheticsMaroondah Hospital, Eastern HealthMelbourneAustralia,Faculty of Medicine, Nursing and Health SciencesMonash UniversityMelbourneAustralia
| | - D. A. Story
- Department of Critical CareUniversity of Melbourne and Melbourne Academic Centre for HealthMelbourneAustralia
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Freed SS, Kaufman BG, Van Houtven CH, Saunders R. Using a home time measure to differentiate ACO performance for seriously ill populations. J Am Geriatr Soc 2022; 70:2666-2676. [PMID: 35620814 DOI: 10.1111/jgs.17882] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Revised: 04/16/2022] [Accepted: 04/23/2022] [Indexed: 11/25/2022]
Abstract
BACKGROUND Alternative Payment Models (APMs) piloted by the Centers for Medicare and Medicaid Services (CMS) such as ACO Realizing Equity, Access and Community Health (REACH) seek to improve care and quality of life among seriously ill populations (SIP). Days at Home (DAH) was proposed for use in this model to evaluate organizational performance. It is important to assess the utility and feasibility of person-centered outcomes measures, such as DAH, as CMS seeks to advance care models for seriously ill beneficiaries. We leverage existing Accountable Care Organization (ACO) contracts to evaluate the feasibility of ACO-level DAH measure and examine characteristics associated with ACOs with more DAH. METHODS We calculated DAH for Medicare fee-for-service beneficiaries aged 68 and over who were retrospectively attributed to a Medicare ACO between 2014 and 2018 and met the seriously ill criteria. We then aggregated to the ACO level DAH for each ACO's seriously ill beneficiaries and risk-adjusted this aggregated measure. Finally, we evaluated associations between risk-adjusted DAH per person-year and ACO, beneficiary, and market characteristics. RESULTS ACOs' seriously ill beneficiaries spent an average of 349.3 risk-adjusted DAH per person-year. Risk-adjusted ACO variation, defined as the interquartile range, was 4.21 days (IQR = 347.32-351.53). Beneficiaries of ACOs are composed of a less racially diverse beneficiary cohort, opting for two-sided risk models, and operating in markets with fewer hospital and Skilled Nursing Facility beds had more DAH. CONCLUSIONS Substantial variation across ACOs in the DAH measure for seriously ill beneficiaries suggests the measure can differentiate between high and low performing provider groups. Key to the success of the metric is accurate risk adjustment to ensure providers have adequate resources to care for seriously ill beneficiaries. Organizational factors, such as the ACO size and level of risk, are strongly associated with more days at home.
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Affiliation(s)
- Salama S Freed
- Margolis Center for Health Policy, Duke University, Durham, North Carolina, USA.,National Pharmaceutical Council, Washington, District of Columbia, USA
| | - Brystana G Kaufman
- Margolis Center for Health Policy, Duke University, Durham, North Carolina, USA.,Population Health Sciences, Duke University School of Medicine, Durham, North Carolina, USA.,Center of Innovation to Accelerate Discovery and Practice Transformation (ADAPT), Durham VA Health Care System, Durham, North Carolina, USA
| | - Courtney H Van Houtven
- Margolis Center for Health Policy, Duke University, Durham, North Carolina, USA.,Population Health Sciences, Duke University School of Medicine, Durham, North Carolina, USA.,Center of Innovation to Accelerate Discovery and Practice Transformation (ADAPT), Durham VA Health Care System, Durham, North Carolina, USA
| | - Robert Saunders
- Margolis Center for Health Policy, Duke University, Durham, North Carolina, USA
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12
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Casebeer AW, Ronning D, Schwartz R, Long C, Bhattacharya R, Uribe C, Brown CR, Cameron J, Painter P, Sharma A, Spitale S, Powers B, Stemple C, Shrank W. A Comparison of Home Health Utilization, Outcomes, and Cost Between Medicare Advantage and Traditional Medicare. Med Care 2022; 60:66-74. [PMID: 34739413 DOI: 10.1097/mlr.0000000000001661] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
BACKGROUND Home health use is rising rapidly in the United States as the population ages, the prevalence of chronic disease increases, and older Americans express their desire to age at home. Enrollment in Medicare Advantage (MA) plans rather than Traditional Medicare (TM) has grown as well, from 13% of total Medicare enrollment in 2004 to 39% in 2020. Despite these shifts, little is known about outcomes and costs following home health in MA as compared with TM. OBJECTIVE The objective of this study was to measure the association of MA enrollment with outcomes and costs for patients using home health. DESIGN This was a retrospective cohort study. PARTICIPANTS Patients enrolled in plans offered by 1 large, national MA organization and patients enrolled in TM, with at least 1 home health visit between January 1, 2017, and June 30, 2018. EXPOSURE MA enrollment. MAIN MEASURES We compared the intensity of home health services and types of care delivered. The main outcome measures were hospitalization, the proportion of days in the home, and total allowed costs during the 180-day period following the first qualifying home health visit during the study period. KEY RESULTS Among patients who used home health, our models demonstrated enrollment in MA was associated with 14%, and 6% decreased odds of 60- and 180-day hospitalization, respectively, a 12.8% and 14.7% decrease in medical costs exclusive and inclusive of home health costs, respectively, and a 0.27% increase in the proportion of days at home during the 180-day follow-up, equivalent to an additional half-day at home. There were few differences in home health care delivered for MA and TM [mean number of visits in the first episode of care (17.1 vs. 17.3) and mean visits per week (3.2 vs. 3.3)]. The mean number of visits by visit type and percent of patients with each type was similar between MA and TM as well. CONCLUSIONS Compared with enrollment in TM, enrollment in MA was associated with improved patient-centered outcomes and lower cost and utilization, despite few differences in the way home health was delivered. These findings might be explained by structural components of MA that encourage better care management, but further investigation is needed to clarify the mechanisms by which MA enrollment may lead to higher value home health care.
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13
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Sperber NR, Shapiro A, Boucher NA, Decosimo KP, Shepherd-Banigan M, Whitfield C, Hastings SN, Van Houtven CH. Developing a person-centered, population based measure of "home time": Perspectives of older patients and unpaid caregivers. HEALTHCARE (AMSTERDAM, NETHERLANDS) 2021; 9:100591. [PMID: 34688200 PMCID: PMC10442891 DOI: 10.1016/j.hjdsi.2021.100591] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Revised: 09/27/2021] [Accepted: 10/03/2021] [Indexed: 12/20/2022]
Abstract
Measuring "home time," number of days not in facility-based care, with medical claims is a promising approach to assess person-centered outcomes on a population level. Generally, spending more time at home matches long-term care preferences and improves quality of life. However, existing "home time" measures have not incorporated key stakeholder perspectives. We sought to understand how patients and family caregivers value time spent in diverse facility-based health care settings (Emergency Department, Nursing Home, Post-Acute Care/Skilled Nursing, Inpatient Hospital) to help determine whether various settings have different effects on quality of life and thus merit different weighting in a "home time" measure. We conducted three focus groups among patients and family caregivers within the U.S. Veterans Health Care System. We identified themes pertaining to patients' quality of life in each of the four facility-based care settings. Discussions about both emergency department and post-acute/skilled nursing care reflected loss of personal control, counterbalanced by temporary stay. Inpatient hospital care evoked discussion about greater loss of personal control due to the intensity of care. Nursing homes ultimately signified decline. These findings illuminate differences in quality of life across health-care settings and help justify the need for different weights in a measure of "home time."
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Affiliation(s)
- Nina R Sperber
- Center of Innovation to Accelerate Discovery and Practice Transformation (ADAPT), Durham VA Health Care System; 508 Fulton Street (152), Durham, NC, 27705, USA; Duke University School of Medicine, Department of Population Health Sciences, Durham, NC, USA.
| | - Abigail Shapiro
- Center of Innovation to Accelerate Discovery and Practice Transformation (ADAPT), Durham VA Health Care System; 508 Fulton Street (152), Durham, NC, 27705, USA
| | - Nathan A Boucher
- Center of Innovation to Accelerate Discovery and Practice Transformation (ADAPT), Durham VA Health Care System; 508 Fulton Street (152), Durham, NC, 27705, USA; Duke University School of Medicine, Department of Population Health Sciences, Durham, NC, USA; Duke University, Sanford School of Public Policy, Durham, NC, USA; Duke University, Margolis Center for Health Policy, Durham, NC, USA; Duke University School of Medicine, Center for the Study of Aging, Durham, NC, USA; Duke University School of Medicine, Department of Medicine, Division of Geriatrics, Durham, NC, USA
| | - Kasey P Decosimo
- Center of Innovation to Accelerate Discovery and Practice Transformation (ADAPT), Durham VA Health Care System; 508 Fulton Street (152), Durham, NC, 27705, USA
| | - Megan Shepherd-Banigan
- Center of Innovation to Accelerate Discovery and Practice Transformation (ADAPT), Durham VA Health Care System; 508 Fulton Street (152), Durham, NC, 27705, USA; Duke University School of Medicine, Department of Population Health Sciences, Durham, NC, USA; Duke University, Margolis Center for Health Policy, Durham, NC, USA
| | - Chelsea Whitfield
- Center of Innovation to Accelerate Discovery and Practice Transformation (ADAPT), Durham VA Health Care System; 508 Fulton Street (152), Durham, NC, 27705, USA
| | - Susan N Hastings
- Center of Innovation to Accelerate Discovery and Practice Transformation (ADAPT), Durham VA Health Care System; 508 Fulton Street (152), Durham, NC, 27705, USA; Duke University School of Medicine, Department of Population Health Sciences, Durham, NC, USA; Duke University School of Medicine, Center for the Study of Aging, Durham, NC, USA; Duke University School of Medicine, Department of Medicine, Division of Geriatrics, Durham, NC, USA
| | - Courtney H Van Houtven
- Center of Innovation to Accelerate Discovery and Practice Transformation (ADAPT), Durham VA Health Care System; 508 Fulton Street (152), Durham, NC, 27705, USA; Duke University School of Medicine, Department of Population Health Sciences, Durham, NC, USA; Duke University, Margolis Center for Health Policy, Durham, NC, USA
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14
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Burke RE, Brown RT, Kinosian B. Selecting implementation strategies to drive Age-Friendly Health System Adoption. J Am Geriatr Soc 2021; 70:313-318. [PMID: 34651696 DOI: 10.1111/jgs.17489] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Revised: 09/10/2021] [Accepted: 09/17/2021] [Indexed: 11/28/2022]
Affiliation(s)
- Robert E Burke
- Center for Health Equity Research and Promotion, Corporal Crescenz VA Medical Center, Philadelphia, Pennsylvania, USA.,Division of General Internal Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.,Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Rebecca T Brown
- Center for Health Equity Research and Promotion, Corporal Crescenz VA Medical Center, Philadelphia, Pennsylvania, USA.,Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, Pennsylvania, USA.,Division of Geriatric Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.,Geriatrics and Extended Care, Corporal Crescenz VA Medical Center, Philadelphia, Pennsylvania, USA
| | - Bruce Kinosian
- Center for Health Equity Research and Promotion, Corporal Crescenz VA Medical Center, Philadelphia, Pennsylvania, USA.,Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, Pennsylvania, USA.,Division of Geriatric Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.,Geriatrics and Extended Care, Corporal Crescenz VA Medical Center, Philadelphia, Pennsylvania, USA
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15
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Auriemma CL, Taylor SP, Harhay MO, Courtright KR, Halpern SD. Hospital-free Days: A Pragmatic and Patient-centered Outcome for Trials Among Critically and Seriously Ill Patients. Am J Respir Crit Care Med 2021; 204:902-909. [PMID: 34319848 DOI: 10.1164/rccm.202104-1063pp] [Citation(s) in RCA: 49] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Hospital-free days (HFDs), alternatively known as "days alive and outside the hospital," is increasingly used as a primary or secondary outcome in randomized trials among critically and seriously ill patients. This novel outcome measure addresses an existing gap in the availability of patient-centered, reliably obtained outcome measures among patients with acute respiratory failure, advanced lung diseases, lung transplantation, and other serious and critical illnesses. Traditional outcomes such as mortality, organ-failure-free days, and longitudinal patient-reported measures have distinct drawbacks that limit their suitability as endpoints in trials of patients with serious illness, particularly those trials with pragmatic designs. By contrast, HFDs provides a summary measure of important health events and is easily calculated from administrative or electronic health record data, thereby balancing the goals of patient-centeredness and pragmatic measurement. However, before HFDs can be widely adopted as an endpoint in trials of patients with respiratory and critical illnesses, several questions must be addressed regarding the optimal definition, measurement, and analysis of HFDs. In this perspective, we outline important considerations relevant to the use of HFDs as a trial endpoint and suggest directions for further development of the measure.
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Affiliation(s)
- Catherine L Auriemma
- University of Pennsylvania, 6572, Medicine, Philadelphia, Pennsylvania, United States;
| | | | - Michael O Harhay
- University of Pennsylvania, Biostatistics, Epidemiology and Informatics, Philadelphia, Pennsylvania, United States
| | - Katherine R Courtright
- University of Pennsylvania Perelman School of Medicine, 14640, Medicine, Philadelphia, Pennsylvania, United States
| | - Scott D Halpern
- University of Pennsylvania Perelman School of Medicine, 14640, Philadelphia, Pennsylvania, United States
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