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Chant ED, Ritchie CS, Orav EJ, Ganguli I. Healthcare contact days among older adults living with dementia. J Am Geriatr Soc 2024; 72:1476-1482. [PMID: 38263877 PMCID: PMC11090707 DOI: 10.1111/jgs.18744] [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] [Received: 08/16/2023] [Revised: 11/03/2023] [Accepted: 12/10/2023] [Indexed: 01/25/2024]
Abstract
BACKGROUND For older adults with dementia and their care partners, accessing health care outside the home involves substantial time, direct and indirect costs, and other burdens. While prior studies have estimated days spent by these individuals in or out of hospitals and nursing homes, ambulatory care burdens are likely substantial yet poorly understand. Therefore, we characterized "health care contact days"-days spent receiving ambulatory or institutional care-in this population. METHODS We used 2019 Medicare Current Beneficiary Survey data linked to claims for community-dwelling, ≥65-year-old adults with dementia in Traditional Medicare. We measured contact days including ambulatory days (with an office visit, test, imaging, procedure, or treatment) and institutional days (spent in an emergency department, hospital, skilled nursing facility, or hospice facility). We described variation and patterns in contact days. Using multivariable Poisson regression, we identified sociodemographic and clinical factors associated with contact days. RESULTS In weighted analyses, 887 older adults with dementia (weighted: 2.9 million) had mean (SD) 31.1 (33.7) total contact days/year, of which 21.7 (20.6) were ambulatory. Ten percent had ≥68 contact days in the year. One-third (34%) of ambulatory contact days involved multiple services. In multivariable models, receipt of more ambulatory contact days was associated with younger age (65-74 reference vs. -32.3% [95% CI: -42.2%, -20.7%] for 85+), higher income (>200% Federal Poverty Level [FPL] reference versus -16.6% [95% CI: -26.7%, -5.0%] for ≤200% FPL), and lack of functional impairment (reference versus -14.6% [95% CI: -23.7%, -4.4%]). Each additional chronic condition was associated with 8.2% (95% CI: 6.7%, 9.8%) more ambulatory contact days. CONCLUSIONS Older adults with dementia spent 31 days a year accessing care which was mostly ambulatory. These days varied widely by both clinical and sociodemographic factors. These results highlight the need to reduce patient burden through strategies such as reducing unneeded care, coordinating care, and shifting care to home settings through telemedicine and home care.
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Affiliation(s)
- Emma D. Chant
- Brigham and Women’s Hospital Division of General Internal Medicine and Primary Care, Boston, MA
| | - Christine S. Ritchie
- Harvard University, Boston, MA
- Mongan Institute Center for Aging and Serious Illness and the Division of Palliative Care and Geriatric Medicine, Massachusetts General Hospital, Boston, MA
| | - E. John Orav
- Brigham and Women’s Hospital Division of General Internal Medicine and Primary Care, Boston, MA
- Harvard University, Boston, MA
| | - Ishani Ganguli
- Brigham and Women’s Hospital Division of General Internal Medicine and Primary Care, Boston, MA
- Harvard University, Boston, MA
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Ganguli I, Chant ED, Orav EJ, Mehrotra A, Ritchie CS. Health Care Contact Days Among Older Adults in Traditional Medicare : A Cross-Sectional Study. Ann Intern Med 2024; 177:125-133. [PMID: 38252944 PMCID: PMC10923005 DOI: 10.7326/m23-2331] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/24/2024] Open
Abstract
BACKGROUND Days spent obtaining health care outside the home can represent not only access to needed care but also substantial time, effort, and cost, especially for older adults and their care partners. Yet, these "health care contact days" have not been characterized. OBJECTIVE To assess composition of, variation and patterns in, and factors associated with contact days among older adults. DESIGN Cross-sectional study. SETTING Nationally representative 2019 Medicare Current Beneficiary Survey data linked to claims. PARTICIPANTS Community-dwelling adults aged 65 years and older in traditional Medicare. MEASUREMENTS Ambulatory contact days (days with a primary care or specialty care office visit, test, imaging, procedure, or treatment) and total contact days (ambulatory days plus institutional days in a hospital, emergency department, skilled-nursing facility, or hospice facility); multivariable mixed-effects Poisson regression to identify patient factors associated with contact days. RESULTS In weighted results, 6619 older adults (weighted: 29 694 084) had means of 17.3 ambulatory contact days (SD, 22.1) and 20.7 total contact days (SD, 27.5) in the year; 11.1% had 50 or more total contact days. Older adults spent most contact days on ambulatory care, including primary care visits (mean [SD], 3.5 [5.0]), specialty care visits (5.7 [9.6]), tests (5.3 [7.2]), imaging (2.6 [3.9]), procedures (2.5 [6.4]), and treatments (5.7 [13.3]). Half of the test and imaging days were not on the same days as office visits (48.6% and 50.1%, respectively). Factors associated with more ambulatory contact days included younger age, female sex, White race, non-Hispanic ethnicity, higher income, higher educational attainment, urban residence, more chronic conditions, and care-seeking behaviors (for example, "go to the doctor…as soon as (I)…feel bad"). LIMITATION Study population limited to those in traditional Medicare. CONCLUSION On average, older adults spent 3 weeks in the year getting care outside the home. These contact days were mostly ambulatory and varied widely not only by number of chronic conditions but also by sociodemographic factors, geography, and care-seeking behaviors. These results show factors beyond clinical need that may drive overuse and underuse of contact days and opportunities to optimize this person-centered measure to reduce patient burdens, for example, via care coordination. PRIMARY FUNDING SOURCE National Institute on Aging.
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Affiliation(s)
- Ishani Ganguli
- Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston; and Harvard University, Boston, Massachusetts (I.G., E.J.O.)
| | - Emma D Chant
- Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, Massachusetts (E.D.C.)
| | - E John Orav
- Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston; and Harvard University, Boston, Massachusetts (I.G., E.J.O.)
| | - Ateev Mehrotra
- Harvard University, Boston; and Beth Israel Deaconess Medical Center, Boston, Massachusetts (A.M.)
| | - Christine S Ritchie
- Mongan Institute Center for Aging and Serious Illness and the Division of Palliative Care and Geriatric Medicine, Massachusetts General Hospital, Boston; and Harvard University, Boston, Massachusetts (C.S.R.)
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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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Burke LG, Burke RC, Duggan CE, Figueroa JF, John Orav E, Marcantonio ER. Trends in healthy days at home for Medicare beneficiaries using the emergency department. J Am Geriatr Soc 2023; 71:3122-3133. [PMID: 37300394 PMCID: PMC10592590 DOI: 10.1111/jgs.18464] [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] [Received: 02/07/2023] [Revised: 05/04/2023] [Accepted: 05/08/2023] [Indexed: 06/12/2023]
Abstract
BACKGROUND Older adults, particularly those with Alzheimer's Disease and Alzheimer's Disease Related Dementias (AD/ADRD), have high rates of emergency department (ED) visits and are at risk for poor outcomes. How best to measure quality of care for this population has been debated. Healthy Days at Home (HDAH) is a broad outcome measure reflecting mortality and time spent in facility-based healthcare settings versus home. We examined trends in 30-day HDAH for Medicare beneficiaries after visiting the ED and compared trends by AD/ADRD status. METHODS We identified all ED visits among a national 20% sample of Medicare beneficiaries ages 68 and older from 2012 to 2018. For each visit, we calculated 30-day HDAH by subtracting mortality days and days spent in facility-based healthcare settings within 30 days of an ED visit. We calculated adjusted rates of HDAH using linear regression, accounting for hospital random effects, visit diagnosis, and patient characteristics. We compared rates of HDAH among beneficiaries with and without AD/ADRD, including accounting for nursing home (NH) residency status. RESULTS We found fewer adjusted 30-day HDAH after ED visits among patients with AD/ADRD compared to those without AD/ADRD (21.6 vs. 23.0). This difference was driven by a greater number of mortality days, SNF days, and, to a lesser degree, hospital observation days, ED visits, and long-term hospital days. From 2012 to 2018, individuals living with AD/ADRD had fewer HDAH each year but a greater mean annual increase over time (p < 0.001 for the interaction between year and AD/ADRD status). Being a NH resident was associated with fewer adjusted 30-day HDAH for beneficiaries with and without AD/ADRD. CONCLUSIONS Beneficiaries with AD/ADRD had fewer HDAH following an ED visit but saw moderately greater increases in HDAH over time compared to those without AD/ADRD. This trend was visit driven by declining mortality and utilization of inpatient and post-acute care.
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Affiliation(s)
- Laura G. Burke
- Department of Emergency Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Department of Health Policy and Management, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Ryan C. Burke
- Department of Emergency Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Ciara E. Duggan
- Department of Health Policy and Management, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Jose F. Figueroa
- Department of Health Policy and Management, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - E. John Orav
- Department of Medicine, Division of General Internal Medicine, Brigham and Women’s Hospital, Boston, MA, USA
| | - Edward R. Marcantonio
- Divisions of General Medicine and Gerontology, Department of Medicine, Beth Israel Deaconess Medical Center, and Harvard Medical School, Boston, MA, USA
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David D, Brody AA. One accurate measurement is worth 1000 expert opinions-Assessing quality care in assisted living. J Am Geriatr Soc 2023; 71:1358-1361. [PMID: 36809671 DOI: 10.1111/jgs.18284] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2022] [Revised: 01/13/2023] [Accepted: 01/19/2023] [Indexed: 02/23/2023]
Affiliation(s)
- Daniel David
- Hartford Institute for Geriatric Nursing, New York University Rory Meyers College of Nursing, New York, New York, USA
| | - Abraham A Brody
- Hartford Institute for Geriatric Nursing, New York University Rory Meyers College of Nursing, New York, New York, USA.,Division of Geriatric Medicine and Palliative Care, NYU Grossman School of Medicine, New York, New York, USA
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Shen E, Eng S, Haupt EC, Wang SE, Mularski RA, Nguyen HQ. Assessing for disparities in days alive and at home in a palliative care population. J Am Geriatr Soc 2022. [PMID: 36571513 DOI: 10.1111/jgs.18211] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Revised: 12/02/2022] [Accepted: 12/11/2022] [Indexed: 12/27/2022]
Affiliation(s)
- Ernest Shen
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California, USA
| | - Sarah Eng
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California, USA
| | - Eric C Haupt
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California, USA
| | - Susan E Wang
- West Los Angeles Medical Center, Kaiser Permanente Southern California, Los Angeles, California, USA
| | - Richard A Mularski
- Center for Health Research, Kaiser Permanente Northwest, Portland, Oregon, USA
| | - Huong Q Nguyen
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California, USA
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Ankuda CK, Grabowski DC. Is every day at home a good day? J Am Geriatr Soc 2022; 70:2481-2483. [PMID: 35917290 PMCID: PMC9489673 DOI: 10.1111/jgs.17973] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Accepted: 07/04/2022] [Indexed: 11/29/2022]
Abstract
This Editorial comments on the articles by Freed et al. and Shen et al. in this issue.
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Affiliation(s)
- Claire K Ankuda
- Brookdale Department of Geriatrics and Palliative Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - David C Grabowski
- Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts, USA
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