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Gustavson AM, Horstman MJ, Cogswell JA, Holland DE, Vanderboom CE, Mandrekar J, Harmsen WS, Kaufman BG, Ingram C, Griffin JM. Caregiver recruitment strategies for interventions designed to optimize transitions from hospital to home: lessons from a randomized trial. Trials 2024; 25:454. [PMID: 38965624 PMCID: PMC11223294 DOI: 10.1186/s13063-024-08288-2] [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: 03/06/2024] [Accepted: 06/24/2024] [Indexed: 07/06/2024] Open
Abstract
Challenges to recruitment of family caregivers exist and are amplified when consent must occur in the context of chaotic healthcare circumstances, such as the transition from hospital to home. The onset of the COVID-19 pandemic during our randomized controlled trial provided an opportunity for a natural experiment exploring and examining different consent processes for caregiver recruitment. The purpose of this publication is to describe different recruitment processes (in-person versus virtual) and compare diversity in recruitment rates in the context of a care recipient's hospitalization. We found rates of family caregiver recruitment for in-person versus virtual were 28% and 23%, respectively (p = 0.01). Differences existed across groups with family caregivers recruited virtually being more likely to be younger, white, have greater than high school education, and not be a spouse or significant other to the care recipient, such as a child. Future work is still needed to identify the modality and timing of family caregiver recruitment to maximize rates and enhance the representativeness of the population for equitable impact.
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Affiliation(s)
- Allison M Gustavson
- Veterans Affairs Health Services Research and Development Center for Care Delivery and Outcomes Research, Minneapolis Veterans Affairs Health Care System, Minneapolis, MN, 55417, USA
- Department of Medicine, University of Minnesota, Minneapolis, MN, 55455, USA
| | - Molly J Horstman
- Center for Innovations in Quality, Effectiveness, and Safety, Michael E. DeBakey VA Medical Center, Houston, TX, 77030, USA
- Department of Medicine, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Jodie A Cogswell
- Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery Research, Rochester, MN, 55905, USA
| | - Diane E Holland
- Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery Research, Rochester, MN, 55905, USA
| | - Catherine E Vanderboom
- Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery Research, Rochester, MN, 55905, USA
| | - Jay Mandrekar
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, 55905, USA
| | - William S Harmsen
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, 55905, USA
| | - Brystana G Kaufman
- Department of Population Health Sciences, Duke University, Durham, NC, USA
- Duke-Margolis Institute for Health Policy, Duke University, Durham, NC, USA
- Center of Innovation to Accelerate Discovery and Practice Transformation, Durham VA Health Care System, Durham, NC, USA
| | - Cory Ingram
- Department of Community Internal Medicine, Geriatrics, and Palliative Care, Mayo Clinic, Rochester, MN, 55905, USA
| | - Joan M Griffin
- Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery Research, Rochester, MN, 55905, USA.
- Division of Health Care Delivery Research (HCDR), Mayo Clinic, Rochester, MN, 55905, USA.
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Hobensack M, Scharp D, Song J, Topaz M. Documentation of social determinants of health across individuals from different racial and ethnic groups in home healthcare. J Nurs Scholarsh 2024. [PMID: 38739091 DOI: 10.1111/jnu.12980] [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: 10/28/2023] [Revised: 04/23/2024] [Accepted: 04/24/2024] [Indexed: 05/14/2024]
Abstract
INTRODUCTION Home healthcare (HHC) enables patients to receive healthcare services within their homes to manage chronic conditions and recover from illnesses. Recent research has identified disparities in HHC based on race or ethnicity. Social determinants of health (SDOH) describe the external factors influencing a patient's health, such as access to care and social support. Individuals from racially or ethnically minoritized communities are known to be disproportionately affected by SDOH. Existing evidence suggests that SDOH are documented in clinical notes. However, no prior study has investigated the documentation of SDOH across individuals from different racial or ethnic backgrounds in the HHC setting. This study aimed to (1) describe frequencies of SDOH documented in clinical notes by race or ethnicity and (2) determine associations between race or ethnicity and SDOH documentation. DESIGN Retrospective data analysis. METHODS We conducted a cross-sectional secondary data analysis of 86,866 HHC episodes representing 65,693 unique patients from one large HHC agency in New York collected between January 1, 2015, and December 31, 2017. We reported the frequency of six SDOH (physical environment, social environment, housing and economic circumstances, food insecurity, access to care, and education and literacy) documented in clinical notes across individuals reported as Asian/Pacific Islander, Black, Hispanic, multi-racial, Native American, or White. We analyzed differences in SDOH documentation by race or ethnicity using logistic regression models. RESULTS Compared to patients reported as White, patients across other racial or ethnic groups had higher frequencies of SDOH documented in their clinical notes. Our results suggest that race or ethnicity is associated with SDOH documentation in HHC. CONCLUSION As the study of SDOH in HHC continues to evolve, our results provide a foundation to evaluate social information in the HHC setting and understand how it influences the quality of care provided. CLINICAL RELEVANCE The results of this exploratory study can help clinicians understand the differences in SDOH across individuals from different racial and ethnic groups and serve as a foundation for future research aimed at fostering more inclusive HHC documentation practices.
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Affiliation(s)
- Mollie Hobensack
- Department of Geriatrics and Palliative Care, Icahn School of Medicine at Mount Sinai, New York City, New York, USA
| | - Danielle Scharp
- Columbia University School of Nursing, New York City, New York, USA
| | - Jiyoun Song
- University of Pennsylvania School of Nursing, Philadelphia, Pennsylvania, USA
| | - Maxim Topaz
- Columbia University School of Nursing, New York City, New York, USA
- Data Science Institute, Columbia University, New York City, New York, USA
- Center for Home Care Policy & Research, VNS Health, New York City, New York, USA
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Karmarkar AM, Roy I, Lane T, Shaibi S, Baldwin JA, Kumar A. Home health services for minorities in urban and rural areas with Alzheimer's and related dementia. Home Health Care Serv Q 2023; 42:265-281. [PMID: 37128943 DOI: 10.1080/01621424.2023.2206368] [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] [Indexed: 05/03/2023]
Abstract
Timely access and continuum of care in older adults with Alzheimer's Disease and Related Dementia (ADRD) is critical. This is a retrospective study on Medicare fee-for-service beneficiaries with ADRD diagnosis discharged to home with home health care following an episode of acute hospitalization. Our sample included 262,525 patients. White patients in rural areas have significantly higher odds of delay (odds ratio [OR], 1.03; 95% CI, 1.01-1.06). Black patients in urban areas (OR, 1.15; 95% CI, 1.12-1.19) and Hispanic patients in urban areas also were more likely to have a delay (OR, 1.07; 95% CI, 1.03-1.11). Black and Hispanic patients residing in urban areas had a higher likelihood of delay in home healthcare initiation following hospitalization compared to Whites residing in urban areas.
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Affiliation(s)
- Amol M Karmarkar
- Department of Physical Medicine and Rehabilitation, School of Medicine, Virginia Commonwealth University, Richmond, Virginia, USA
- Research Department, Sheltering Arms Institute, Richmond, Virginia, USA
| | - Indrakshi Roy
- Center for Health Equity Research, Northern Arizona University, Flagstaff, Arizona, USA
| | - Taylor Lane
- Center for Health Equity Research, Northern Arizona University, Flagstaff, Arizona, USA
| | - Stefany Shaibi
- Physical Therapy Department, Creighton University, Phoenix, Arizona, USA
| | - Julie A Baldwin
- Center for Health Equity Research, Northern Arizona University, Flagstaff, Arizona, USA
| | - Amit Kumar
- Center for Health Equity Research, Northern Arizona University, Flagstaff, Arizona, USA
- Department of Physical Therapy and Athletic Training, University of Utah, Salt Lake City, Utah, USA
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Karmarkar AM, Roy I, Rivera-Hernandez M, Shaibi S, Baldwin JA, Lane T, Kean J, Kumar A. Examining the role of race and quality of home health agencies in delayed initiation of home health services for individuals with Alzheimer's disease and related dementias (ADRD). Alzheimers Dement 2023; 19:4037-4045. [PMID: 37204409 PMCID: PMC10730234 DOI: 10.1002/alz.13139] [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: 12/07/2022] [Revised: 04/19/2023] [Accepted: 04/20/2023] [Indexed: 05/20/2023]
Abstract
INTRODUCTION We examined differences in the timeliness of the initiation of home health care by race and the quality of home health agencies (HHA) among patients with Alzheimer's disease and related dementias (ADRD). METHODS Medicare claims and home health assessment data were used for the study cohort: individuals aged ≥65 years with ADRD, and discharged from the hospital. Home health latency was defined as patients receiving home health care after 2 days following hospital discharge. RESULTS Of 251,887 patients with ADRD, 57% received home health within 2 days following hospital discharge. Black patients were significantly more likely to experience home health latency (odds ratio [OR] = 1.15, 95% confidence interval [CI] = 1.11-1.19) compared to White patients. Home health latency was significantly higher for Black patients in low-rating HHA (OR = 1.29, 95% CI = 1.22-1.37) compared to White patients in high-rating HHA. DISCUSSION Black patients are more likely to experience a delay in home health care initiation than White patients.
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Affiliation(s)
- Amol M Karmarkar
- Department of Physical Medicine and Rehabilitation, Virginia Commonwealth University, School of Medicine, Richmond, Virginia, USA
- Research Department, Sheltering Arms Institute, Richmond, Virginia, USA
| | - Indrakshi Roy
- Center for Health Equity Research, Northern Arizona University, Flagstaff, Arizona, USA
| | - Maricruz Rivera-Hernandez
- Department of Health Services, Policy & Practice, School of Public Health, Brown University, Providence, Rhode Island, USA
| | - Stefany Shaibi
- Physical Therapy Department, Creighton University, Phoenix, Arizona, USA
| | - Julie A Baldwin
- Center for Health Equity Research, Northern Arizona University, Flagstaff, Arizona, USA
| | - Taylor Lane
- Center for Health Equity Research, Northern Arizona University, Flagstaff, Arizona, USA
| | - Jacob Kean
- Department of Population Health Sciences, School of Medicine, University of Utah, Salt Lake City, Utah, USA
| | - Amit Kumar
- Department of Population Health Sciences, School of Medicine, University of Utah, Salt Lake City, Utah, USA
- Department of Physical Therapy and Athletic Training, College of Health, University of Utah, Salt Lake City, Utah, USA
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Song J, Chae S, Bowles KH, McDonald MV, Barrón Y, Cato K, Collins Rossetti S, Hobensack M, Sridharan S, Evans L, Davoudi A, Topaz M. The identification of clusters of risk factors and their association with hospitalizations or emergency department visits in home health care. J Adv Nurs 2023; 79:593-604. [PMID: 36414419 PMCID: PMC10163408 DOI: 10.1111/jan.15498] [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: 05/30/2022] [Revised: 09/30/2022] [Accepted: 10/31/2022] [Indexed: 11/24/2022]
Abstract
AIMS To identify clusters of risk factors in home health care and determine if the clusters are associated with hospitalizations or emergency department visits. DESIGN A retrospective cohort study. METHODS This study included 61,454 patients pertaining to 79,079 episodes receiving home health care between 2015 and 2017 from one of the largest home health care organizations in the United States. Potential risk factors were extracted from structured data and unstructured clinical notes analysed by natural language processing. A K-means cluster analysis was conducted. Kaplan-Meier analysis was conducted to identify the association between clusters and hospitalizations or emergency department visits during home health care. RESULTS A total of 11.6% of home health episodes resulted in hospitalizations or emergency department visits. Risk factors formed three clusters. Cluster 1 is characterized by a combination of risk factors related to "impaired physical comfort with pain," defined as situations where patients may experience increased pain. Cluster 2 is characterized by "high comorbidity burden" defined as multiple comorbidities or other risks for hospitalization (e.g., prior falls). Cluster 3 is characterized by "impaired cognitive/psychological and skin integrity" including dementia or skin ulcer. Compared to Cluster 1, the risk of hospitalizations or emergency department visits increased by 1.95 times for Cluster 2 and by 2.12 times for Cluster 3 (all p < .001). CONCLUSION Risk factors were clustered into three types describing distinct characteristics for hospitalizations or emergency department visits. Different combinations of risk factors affected the likelihood of these negative outcomes. IMPACT Cluster-based risk prediction models could be integrated into early warning systems to identify patients at risk for hospitalizations or emergency department visits leading to more timely, patient-centred care, ultimately preventing these events. PATIENT OR PUBLIC CONTRIBUTION There was no involvement of patients in developing the research question, determining the outcome measures, or implementing the study.
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Affiliation(s)
- Jiyoun Song
- Columbia University School of Nursing, New York City, New York, USA
| | - Sena Chae
- College of Nursing, The University of Iowa, Iowa City, Iowa, USA
| | - Kathryn H. Bowles
- Department of Biobehavioral Health Sciences, University of Pennsylvania School of Nursing, Philadelphia, Pennsylvania, USA
- Center for Home Care Policy & Research, VNS Health, New York, New York City, USA
| | - Margaret V. McDonald
- Center for Home Care Policy & Research, VNS Health, New York, New York City, USA
| | - Yolanda Barrón
- Center for Home Care Policy & Research, VNS Health, New York, New York City, USA
| | - Kenrick Cato
- Columbia University School of Nursing, New York City, New York, USA
- Emergency Medicine, Columbia University Irving Medical Center, New York City, New York, USA
| | - Sarah Collins Rossetti
- Columbia University School of Nursing, New York City, New York, USA
- Department of Biomedical Informatics, Columbia University, New York City, New York, USA
| | - Mollie Hobensack
- Columbia University School of Nursing, New York City, New York, USA
| | - Sridevi Sridharan
- Center for Home Care Policy & Research, VNS Health, New York, New York City, USA
| | - Lauren Evans
- Center for Home Care Policy & Research, VNS Health, New York, New York City, USA
| | - Anahita Davoudi
- Center for Home Care Policy & Research, VNS Health, New York, New York City, USA
| | - Maxim Topaz
- Columbia University School of Nursing, New York City, New York, USA
- Center for Home Care Policy & Research, VNS Health, New York, New York City, USA
- Data Science Institute, Columbia University, New York City, New York, USA
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Topaz M, Barrón Y, Song J, Onorato N, Sockolow P, Zolnoori M, Cato K, Sridharan S, Bowles KH, McDonald MV. Risk of Rehospitalization or Emergency Department Visit is Significantly Higher for Patients who Receive Their First Home Health Care Nursing Visit Later than 2 Days After Hospital Discharge. J Am Med Dir Assoc 2022; 23:1642-1647. [PMID: 35931136 DOI: 10.1016/j.jamda.2022.07.001] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2021] [Revised: 06/27/2022] [Accepted: 07/01/2022] [Indexed: 11/26/2022]
Abstract
OBJECTIVES This study explored the association between the timing of the first home health care nursing visits (start-of-care visit) and 30-day rehospitalization or emergency department (ED) visits among patients discharged from hospitals. DESIGN Our cross-sectional study used data from 1 large, urban home health care agency in the northeastern United States. SETTING/PARTICIPANTS We analyzed data for 49,141 home health care episodes pertaining to 45,390 unique patients who were admitted to the agency following hospital discharge during 2019. METHODS We conducted multivariate logistic regression analyses to examine the association between start-of-care delays and 30-day hospitalizations and ED visits, adjusting for patients' age, race/ethnicity, gender, insurance type, and clinical and functional status. We defined delays in start-of-care as a first nursing home health care visit that occurred more than 2 full days after the hospital discharge date. RESULTS During the study period, we identified 16,251 start-of-care delays (34% of home health care episodes), with 14% of episodes resulting in 30-day rehospitalization and ED visits. Delayed episodes had 12% higher odds of rehospitalization or ED visit (OR 1.12; 95% CI: 1.06-1.18) compared with episodes with timely care. CONCLUSIONS AND IMPLICATIONS The findings suggest that timely start-of-care home health care nursing visit is associated with reduced rehospitalization and ED use among patients discharged from hospitals. With more than 6 million patients who receive home health care services across the United States, there are significant opportunities to improve timely care delivery to patients and improve clinical outcomes.
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Affiliation(s)
- Maxim Topaz
- Columbia University School of Nursing, New York City, NY, USA; Data Science Institute, Columbia University, New York City, NY, USA; Center for Home Care Policy & Research, Visiting Nurse Service of New York, New York City, NY, USA.
| | - Yolanda Barrón
- Center for Home Care Policy & Research, Visiting Nurse Service of New York, New York City, NY, USA
| | - Jiyoun Song
- Columbia University School of Nursing, New York City, NY, USA
| | - Nicole Onorato
- Center for Home Care Policy & Research, Visiting Nurse Service of New York, New York City, NY, USA
| | - Paulina Sockolow
- Drexel University College of Nursing and Health Professions, Philadelphia, PA, USA
| | - Maryam Zolnoori
- Columbia University School of Nursing, New York City, NY, USA
| | - Kenrick Cato
- Columbia University School of Nursing, New York City, NY, USA; Emergency Medicine, Columbia University Irving Medical Center, New York, NY, USA
| | - Sridevi Sridharan
- Center for Home Care Policy & Research, Visiting Nurse Service of New York, New York City, NY, USA
| | - Kathryn H Bowles
- Center for Home Care Policy & Research, Visiting Nurse Service of New York, New York City, NY, USA; University of Pennsylvania School of Nursing, Department of Biobehavioral Health Sciences, Philadelphia, PA, USA
| | - Margaret V McDonald
- Center for Home Care Policy & Research, Visiting Nurse Service of New York, New York City, NY, USA
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Zimmerman S, Cesari M, Gaugler JE, Gleckman H, Grabowski DC, Katz PR, Konetzka RT, McGilton KS, Mor V, Saliba D, Shippee TP, Sloane PD, Stone RI, Werner RM. The Inevitability of Reimagining Long-Term Care. J Am Med Dir Assoc 2022; 23:187-189. [DOI: 10.1016/j.jamda.2021.12.032] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Accepted: 12/22/2021] [Indexed: 11/26/2022]
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Ornstein KA, Ankuda CK, Leff B, Rajagopalan S, Siu AL, Harrison KL, Oh A, Reckrey JM, Ritchie CS. Medicare-funded home-based clinical care for community-dwelling persons with dementia: An essential healthcare delivery mechanism. J Am Geriatr Soc 2021; 70:1127-1135. [PMID: 34936087 DOI: 10.1111/jgs.17621] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Revised: 11/22/2021] [Accepted: 11/27/2021] [Indexed: 11/30/2022]
Abstract
BACKGROUND Over the past decade, medical care has shifted from institutions into home settings-particularly among persons with dementia. Yet it is unknown how home-based clinical services currently support persons with dementia, and what factors shape access. METHODS Using the National Health and Aging Trends Study linked to Medicare claims 2012-2017, we identified 6664 community-dwelling adults age ≥ 70 years enrolled in fee-for-service Medicare. Annual assessment of dementia status was determined via self-report, cognitive interview, and/or proxy assessment. Receipt of four types of home-based clinical care (home-based medical care (HBMC) (i.e., nurse practitioner, physician, or physician assistant visits), skilled home health care (SHHC), podiatry visits, and other types of home-based clinical services (e.g., behavioral health)) was assessed annually. We compared age-adjusted rates of home-based clinical care by dementia status and determined sociodemographic, health, and environmental characteristics associated with utilization of home-based clinical care among persons with dementia. RESULTS Nearly half (44.4%) of persons with dementia received any home-based clinical care annually compared to only 14.4% of those without dementia. Persons with dementia received substantially more of each type of home-based clinical care than those without dementia including a 5-fold increased use of HBMC (95% CI = 3.8-6.2) and double the use of SHHC (95% CI = 2.0-2.5). In adjusted models, Hispanic/Latino persons with dementia were less likely to receive HBMC (OR = 0.32; 95% CI = 0.11-0.93). Use of HBMC, podiatry, and other home-based clinical care was significantly more likely among those living in residential care facilities, in the Northeast and in metropolitan areas. CONCLUSION Although almost half of community-dwelling persons with dementia receive home-based clinical care, there is significant variation in utilization based on race/ethnicity and environmental context. Increased understanding as to how these factors impact utilization is necessary to reduce potential inequities in healthcare delivery among the dementia population.
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Affiliation(s)
- Katherine A Ornstein
- Brookdale Department of Geriatrics and Palliative Medicine, Icahn School of Medicine, New York, New York, USA
| | - Claire K Ankuda
- Brookdale Department of Geriatrics and Palliative Medicine, Icahn School of Medicine, New York, New York, USA
| | - Bruce Leff
- Division of Geriatric Medicine and Gerontology, The Center for Transformative Geriatric Research, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | - Subashini Rajagopalan
- Brookdale Department of Geriatrics and Palliative Medicine, Icahn School of Medicine, New York, New York, USA
| | - Albert L Siu
- Brookdale Department of Geriatrics and Palliative Medicine, Icahn School of Medicine, New York, New York, USA
| | - Krista L Harrison
- Division of Geriatrics, University of California, San Francisco, San Francisco, California, USA.,Philip R. Lee Institute for Health Policy Studies, University of California, San Francisco, California, USA
| | - Anna Oh
- Division of Geriatrics, University of California, San Francisco, San Francisco, California, USA.,San Francisco VA Health Care System, San Francisco, California, USA
| | - Jennifer M Reckrey
- Brookdale Department of Geriatrics and Palliative Medicine, Icahn School of Medicine, New York, New York, USA
| | - Christine S Ritchie
- Mongan Institute Center for Aging and Serious Illness, Massachusetts General Hospital, Boston, Massachusetts, USA
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