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Miller MJ, Cenzer I, Barnes DE, Ankuda C, Covinsky KE. Prevalence of cognitive impairment in home health physical therapy. J Am Geriatr Soc 2024; 72:802-810. [PMID: 38152855 PMCID: PMC10947939 DOI: 10.1111/jgs.18715] [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: 07/24/2023] [Revised: 11/17/2023] [Accepted: 11/26/2023] [Indexed: 12/29/2023]
Abstract
BACKGROUND The prevalence of cognitive impairment in home health physical therapy (HHPT) is unknown. We sought to identify the prevalence of cognitive impairment, including cognitive impairment no dementia (CIND) and dementia, among older adults who used HHPT, and if cognitive impairment prevalence was higher among those with HHPT-relevant characteristics. METHODS For our cross-sectional analysis, we identified 963 fee-for-service Medicare beneficiaries with HHPT claims (>85 years old: 28.8%, women: 63.7%, non-Hispanic White: 82.1%) in the 2014 and 2016 waves of the Health and Retirement Study (HRS) and used a validated algorithm to categorize cognitive status as normal, CIND, or dementia. We estimated the population prevalence and calculated age, gender, race/ethnicity adjusted odds ratio (aOR) of CIND and dementia for characteristics relevant to HHPT service delivery including depression, walking difficulty, fall history, incontinence, moderate-vigorous physical activity (MVPA) ≤1x/week, and community-initiated HHPT using multinomial logistic regression. RESULTS The population prevalence of cognitive impairment was 46.4% (CIND: 27.3%, dementia: 19.1%). The prevalence of cognitive impairment was greater among those with depression (46.7% vs. 39.5%), difficulty walking across the room (58.9% vs. 41.8%), fall history (49.1% vs. 42.9%), MVPA ≤1x/week (50.0% vs. 38.0%), and community-initiated HHPT (55.2% vs. 40.2%). Compared to normal cognitive status, the odds of cognitive impairment were greater for those with MVPA≤1x/week (CIND: aOR = 1.57 [95% CI: 1.05-2.33], dementia: aOR = 2.55 [95% CI: 1.54-4.22]), depression (dementia: aOR = 1.99 [95% CI: 1.19-3.30]), difficulty walking across the room (dementia: aOR = 2.54 [95% CI: 1.40-4.60]), fall history (dementia: aOR = 1.85 [95% CI: 1.20-2.83]), and community-initiated HHPT (dementia: aOR = 1.72 (95% CI: 1.13-2.61]). CONCLUSION There is a high prevalence of CIND and dementia in HHPT, and no characteristics had a low prevalence of cognitive impairment. Physical therapists should be ready to identify cognitive impairment and adapt home health service delivery for this vulnerable population of older adults.
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Affiliation(s)
- Matthew J. Miller
- Department of Physical Therapy and Rehabilitation Science, University of California, San Francisco, San Francisco, CA, USA
| | - Irena Cenzer
- Division of Geriatrics, University of California, San Francisco, San Francisco, CA, USA
| | - Deborah E. Barnes
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, San Francisco, CA, USA
- Department of Epidemiology & Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Claire Ankuda
- Department of Geriatrics and Palliative Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Kenneth E. Covinsky
- Division of Geriatrics, University of California, San Francisco, San Francisco, CA, USA
- San Francisco VA Health Care System, San Francisco, CA, USA
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Burgdorf JG, Ornstein KA, Liu B, Leff B, Brody AA, McDonough C, Ritchie CS. Variation in Home Healthcare Use by Dementia Status Among a National Cohort of Older Adults. J Gerontol A Biol Sci Med Sci 2024; 79:glad270. [PMID: 38071603 PMCID: PMC10878244 DOI: 10.1093/gerona/glad270] [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: 07/13/2023] [Indexed: 12/21/2023] Open
Abstract
BACKGROUND Medicare-funded home healthcare (HHC) delivers skilled nursing, therapy, and related services through visits to the patient's home. Nearly one-third (31%) of HHC patients have diagnosed dementia, but little is currently known regarding how HHC utilization and care delivery differ for persons living with dementia (PLwD). METHODS We drew on linked 2012-2018 Health and Retirement Study and Medicare claims for a national cohort of 1 940 community-living older adults. We described differences in HHC admission, length of stay, and referral source by patient dementia status and used weighted, multivariable logistic and negative binomial models to estimate the relationship between dementia and HHC visit type and intensity while adjusting for sociodemographic characteristics, health and functional status, and geographic/community factors. RESULTS PLwD had twice the odds of using HHC during a 2-year observation period, compared to those without dementia (odds ratio [OR]: 2.03; p < .001). They were more likely to be referred to HHC without a preceding hospitalization (49.4% vs 32.1%; p < .001) and incurred a greater number of HHC episodes (1.4 vs 1.0; p < .001) and a longer median HHC length of stay (55.8 days vs 40.0 days; p < .001). Among post-acute HHC patients, PLwD had twice the odds of receiving social work services (unadjusted odds ratio [aOR]: 2.15; p = .008) and 3 times the odds of receiving speech-language pathology services (aOR: 2.92; p = .002). CONCLUSIONS Findings highlight HHC's importance as a care setting for community-living PLwD and indicate the need to identify care delivery patterns associated with positive outcomes for PLwD and design tailored HHC clinical pathways for this patient subpopulation.
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Affiliation(s)
- Julia G Burgdorf
- Center for Home Care Policy & Research, VNS Health, New York, New York, USA
| | - Katherine A Ornstein
- Center for Equity in Aging, The Johns Hopkins School of Nursing, Baltimore, Maryland, USA
| | - Bian Liu
- Department of Population Health Science and Policy, Icahn School of Medicine at Mt. Sinai, New York, New York, USA
| | - Bruce Leff
- The Center for Transformative Geriatric Research, The Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | - Abraham A Brody
- Hartford Institute for Geriatric Nursing, New York University Meyers College of Nursing, New York, New York, USA
| | - Catherine McDonough
- Department of Population Health Science and Policy, Icahn School of Medicine at Mt. Sinai, New York, New York, USA
| | - Christine S Ritchie
- Mongan Institute for Aging and Serious Illness, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
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Louis-Delsoin C, Ruiz-Rodrigo A, Rousseau J. Understanding the home environment of older adults living with dementia: A scoping review of assessment tools. Home Health Care Serv Q 2024; 43:54-86. [PMID: 38146743 DOI: 10.1080/01621424.2023.2290708] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2023]
Abstract
Rigorous assessments to better understand the person-environment interaction are essential to comprehend how neurocognitive disorders influence in-home functioning of older people living with dementia. No recent synthesis identifies validated instruments targeting the human (e.g. caregivers) and nonhuman (e.g. objects) elements of the home environment interacting with this population and used with the perspective of aging in place. Consequently, following Arksey and O'Malley's (2005) scoping review method, 2,182 articles were identified in six databases and in gray literature. Two reviewers independently selected 23 relevant articles describing 19 validated assessment tools targeting elements of the home interacting with older people with dementia, namely: nonhuman environment (n = 13), human environment (n = 3), and person-environment interaction (n = 3). This overview highlights the scarcity of tools addressing the human environment and the person-environment interaction to foster sustainable at-home living for older people with neurocognitive disorders, demonstrating the need to incorporate new evidence-based, holistic methods into dementia home care.
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Affiliation(s)
- Cindy Louis-Delsoin
- School of rehabilitation, Faculty of medicine, Université de Montréal, Montreal, Quebec, Canada
- Centre de recherche de l'Institut universitaire de gériatrie de Montréal, CIUSSS du Centre-Sud-de-l'Île-de-Montréal, Montreal, Quebec, Canada
| | - Alicia Ruiz-Rodrigo
- School of rehabilitation, Faculty of medicine, Université de Montréal, Montreal, Quebec, Canada
- Centre de recherche de l'Institut universitaire de gériatrie de Montréal, CIUSSS du Centre-Sud-de-l'Île-de-Montréal, Montreal, Quebec, Canada
| | - Jacqueline Rousseau
- School of rehabilitation, Faculty of medicine, Université de Montréal, Montreal, Quebec, Canada
- Centre de recherche de l'Institut universitaire de gériatrie de Montréal, CIUSSS du Centre-Sud-de-l'Île-de-Montréal, Montreal, Quebec, Canada
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Pestour K. OASIS Accuracy: Paint a Picture of Your Patient. Home Healthc Now 2023; 41:350. [PMID: 37922143 DOI: 10.1097/nhh.0000000000001209] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2023]
Affiliation(s)
- Kim Pestour
- Kim Pestour, MHA, RN, COS-C, is the Director, Performance Improvement, Catholic Health Home Care, Farmingdale, New York
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Bélanger E, Rosendaal N, Gutman R, Lake D, Santostefano CM, Meyers DJ, Gozalo PL. Identifying Medicare beneficiaries with Alzheimer's disease and related dementia using home health OASIS assessments. J Am Geriatr Soc 2023; 71:3229-3236. [PMID: 37358283 PMCID: PMC10592468 DOI: 10.1111/jgs.18487] [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: 12/19/2022] [Revised: 04/24/2023] [Accepted: 05/21/2023] [Indexed: 06/27/2023]
Abstract
BACKGROUND Home health services are an important site of care following hospitalization among Medicare beneficiaries, providing health assessments that can be leveraged to detect diagnoses that are not available in other data sources. In this work, we aimed to develop a parsimonious and accurate algorithm using home health outcome and assessment information set (OASIS) measures to identify Medicare beneficiaries with a diagnosis of Alzheimer's disease and related dementia (ADRD). METHODS We conducted a retrospective cohort study of Medicare beneficiaries with a complete OASIS start of care assessment in 2014, 2016, 2018, or 2019 to determine how well the items from various versions could identify those with an ADRD diagnosis by the assessment date. The prediction model was developed iteratively, comparing the performance of different models in terms of sensitivity, specificity, and accuracy of prediction, from a multivariable logistic regression model using clinically relevant variables, to regression models with all available variables and predictive modeling techniques, to estimate the best performing parsimonious model. RESULTS The most important predictors of having a diagnosis of ADRD by the start of care OASIS assessment were a prior discharge diagnosis of ADRD among those admitted from an inpatient setting, and frequently exhibiting symptoms of confusion. Results from the parsimonious model were consistent across the four annual cohorts and OASIS versions with high specificity (above 96%), but poor sensitivity (below 58%). The positive predictive value was high, over 87% across study years. CONCLUSIONS The proposed algorithm has high accuracy, requires a single OASIS assessment, is easy to implement without sophisticated statistical models, and can be used across four OASIS versions and in situations where claims are not available to identify individuals with a diagnosis of ADRD, including the growing population of Medicare Advantage beneficiaries.
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Affiliation(s)
- Emmanuelle Bélanger
- Center for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, Rhode Island, USA
- Department of Health Services, Policy & Practice, Brown University School of Public Health, Providence, Rhode Island, USA
| | - Nicole Rosendaal
- Center for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, Rhode Island, USA
| | - Roee Gutman
- Department of Biostatistics, Brown University School of Public Health, Providence, Rhode Island, USA
| | - Derek Lake
- Center for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, Rhode Island, USA
| | - Christopher M Santostefano
- Center for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, Rhode Island, USA
| | - David J Meyers
- Center for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, Rhode Island, USA
- Department of Health Services, Policy & Practice, Brown University School of Public Health, Providence, Rhode Island, USA
| | - Pedro L Gozalo
- Center for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, Rhode Island, USA
- Department of Health Services, Policy & Practice, Brown University School of Public Health, Providence, Rhode Island, USA
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Burgdorf JG, Mroz TM, Reckrey JM, Barrón Y, Ryvicker M. Prevalence and predictors of incident ADRD diagnosis following a Medicare home health episode. Alzheimers Dement 2023; 19:3936-3945. [PMID: 37057687 PMCID: PMC10523879 DOI: 10.1002/alz.13061] [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: 01/11/2023] [Revised: 03/06/2023] [Accepted: 03/08/2023] [Indexed: 04/15/2023]
Abstract
INTRODUCTION Home health (HH) may be an important source of care for those with early-stage/undiagnosed Alzheimer's Disease and Related Dementias (ADRD), but little is known regarding prevalence or predictors of incident ADRD diagnosis following HH. METHODS Using 2010-2012 linked Master Beneficiary Summary File (MBSF) and HH assessment data for 40,596 Medicare HH patients, we model incident ADRD diagnosis within 1 year of HH via multivariable logistic regression. RESULTS Among HH patients without diagnosed ADRD, 10% received an incident diagnosis within 1 year. In adjusted models, patients were three times more likely to receive an incident ADRD diagnosis if they had HH clinician-reported impaired overall cognition (compared to patients without reported impairment) and twice as likely if they were community-referred (compared to hospital-referred patients). DISCUSSION There is a pressing need to develop tailored HH clinical pathways and protect access to community-referred HH to support community-living older adults with early-stage/undiagnosed ADRD.
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Affiliation(s)
- Julia G. Burgdorf
- Center for Home Care Policy & Research at VNS Health, 220 E. 42 St, 6 Floor, New York, NY 10017
| | - Tracy M. Mroz
- Department of Rehabilitation Medicine, University of Washington School of Medicine, 1959 NE Pacific Street, Box 356490, Seattle, WA 98195-6490
| | - Jennifer M. Reckrey
- Department of Geriatrics and Palliative Medicine, Icahn School of Medicine at Mount Sinai, One Gustave L Levy Place Box 1216, New York NY 10029
| | - Yolanda Barrón
- Center for Home Care Policy & Research at VNS Health, 220 E. 42 St, 6 Floor, New York, NY 10017
| | - Miriam Ryvicker
- Center for Home Care Policy & Research at VNS Health, 220 E. 42 St, 6 Floor, New York, NY 10017
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Wolff JL, Peereboom D, Hay N, Polsky D, Ornstein KA, Boyd CM, Samus QM. Advancing the Research-to-Policy and Practice Pipeline in Aging and Dementia Care. THE PUBLIC POLICY AND AGING REPORT 2023; 33:22-28. [PMID: 36873958 PMCID: PMC9976701 DOI: 10.1093/ppar/prac037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Indexed: 06/18/2023]
Affiliation(s)
- Jennifer L Wolff
- Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Danielle Peereboom
- Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Nadia Hay
- Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Daniel Polsky
- Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Katherine A Ornstein
- Center for Equity in Aging, Johns Hopkins School of Nursing, Baltimore, Maryland, USA
| | - Cynthia M Boyd
- Division of Geriatric Medicine and Gerontology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Quincy M Samus
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
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Osakwe ZT, Obioha CU, Muller K, Saint Fleur-Calixte R. A Description of Persons With Alzheimer Disease and Related Dementias Receiving Home Health Care: A National Analysis. J Hosp Palliat Nurs 2022; 24:00129191-990000000-00045. [PMID: 36178738 DOI: 10.1097/njh.0000000000000904] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
The end-of-life period of individuals with Alzheimer disease and related dementias receiving home health care (HHC) is understudied. We sought to describe characteristics of HHC patients with Alzheimer disease and related dementias at risk of death within a year, based on clinician assessment. We conducted a secondary data analysis of a 5% random sample of the Outcome and Assessment Information Set data set for the year 2017. We used Outcome and Assessment Information Set-C item M1034 to identify HHC patients with overall status of progressive condition leading to death within a year. Multivariable logistic regression model was used to examine the association between sociodemographic, functional, clinical, and caregiving factors and likelihood of decline leading to death within a year, as identified by HHC clinicians. Clinician perception of decline leading to death within a year was higher for Whites (vs Blacks or Hispanics) (odds ratio [OR], 0.74 [95% confidence interval (CI), 0.69-0.80], and OR, 0.63 [95% CI, 0.57-0.69], respectively). Factors associated with increased odds of decline leading to death within a year included daily pain (OR, 1.11 [95% CI, 1.06-1.17]), anxiety daily or more often (OR, 1.58 [95% CI, 1.49-1.67]), shortness of breath (OR, 1.45 [95% CI, 1.34-1.57]), use of oxygen (OR, 1.60 [95% CI, 1.52-1.69]), disruptive behavior (OR, 1.26 [95% CI, 1.20-1.31]), and feeding difficulty (OR, 2.25 [95% CI, 2.09-2.43]). High symptom burden exists among HHC patients with Alzheimer disease and related dementias identified to have a status of decline leading to death within a year.
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Burgdorf JG, Sen AP, Wolff JL. Patient cognitive impairment associated with higher home health care delivery costs. Health Serv Res 2022; 57:515-523. [PMID: 34913164 PMCID: PMC9108060 DOI: 10.1111/1475-6773.13928] [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: 09/03/2021] [Revised: 11/03/2021] [Accepted: 12/06/2021] [Indexed: 11/04/2022] Open
Abstract
OBJECTIVE To assess whether home health agencies incur significantly higher care delivery costs for patients with cognitive impairment across three timeframes relevant to home health payment policy. DATA SOURCES Linked Medicare home health claims and patient assessments, National Health and Aging Trends Study (NHATS), and home health agency cost reports for a nationally representative sample of Medicare beneficiaries receiving home health between 2011 and 2016. STUDY DESIGN We modeled care delivery costs incurred by the home health agency as a function of patient cognitive impairment using multivariable, propensity score-adjusted, generalized linear models. DATA COLLECTION/EXTRACTION METHODS We identified NHATS participants who experienced an index home health episode between 2011 and 2016 (n = 1214; weighted n = 5,856,333) and linked their NHATS survey data to standardized patient assessment and claims data for the episode, as well as cost report data for the home health agency that provided care. PRINCIPAL FINDINGS Across the first 30, 60, and 120 days of caring for a patient with cognitive impairment, we estimate additional costs of care to the home health agency of $186.19 (p = 0.02), $282.46 (p = 0.01), and $740.91 (p = 0.04), respectively. CONCLUSIONS Home health agencies incur significantly higher costs when caring for a patient with cognitive impairment. As patient cognitive function is not considered in the most recent Medicare home health reimbursement model, agencies may be disincentivized from providing care to those with cognitive impairment. Policy makers and researchers should carefully monitor home health access among Medicare beneficiaries with cognitive impairment and further investigate the inclusion of patient cognitive function in future risk adjustment models.
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Affiliation(s)
- Julia G. Burgdorf
- Center for Home Care Policy & ResearchVisiting Nurse Service of New YorkNew YorkNew YorkUSA
- Department of Health Policy & ManagementJohns Hopkins Bloomberg School of Public HealthBaltimoreMarylandUSA
| | - Aditi P. Sen
- Health Care Cost InstituteWashingtonDistrict of ColumbiaUSA
| | - Jennifer L. Wolff
- Department of Health Policy & ManagementJohns Hopkins Bloomberg School of Public HealthBaltimoreMarylandUSA
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Burgdorf JG, Amjad H. Cognitive impairment among medicare home health patients: comparing available measures. Home Health Care Serv Q 2021; 41:139-148. [PMID: 34842072 DOI: 10.1080/01621424.2021.2009392] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
There is growing interest in understanding home health utilization and outcomes for those with cognitive impairment (CI). Yet, approaches to measuring CI during home health vary widely across studies, with little known regarding potential implications for findings. Among a nationally representative sample of community-living Medicare beneficiaries receiving home health (2011-2016), we compare estimated CI prevalence using four different measures and evaluate measure-specific strengths and limitations. CI prevalence estimates ranged from 18.4% of the sample with probable dementia from national survey data; to 27.8% with diagnosed dementia, from Medicare claims; to 26.7% with memory deficit and/or impaired decision-making and 43.9% with reduced cognitive function, from OASIS. Researchers must be deliberate in their choice of CI measure and transparent regarding its benefits and limitations. Regardless of the measure used, a sizable percentage of home health patients have CI, supporting the importance of ongoing research in this area.
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Affiliation(s)
| | - Halima Amjad
- Department of Health Policy & Management Johns Hopkins Bloomberg School of Public Health Baltimore MD, United States.,Division of Geriatric Medicine & Gerontology, Johns Hopkins School of Medicine, United States
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