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Noël PH, Penney LS, Finley EP, Parish J, Pugh JA, Delgado RE, Peacock KS, Dang S, Trivedi R, Bouldin ED, Pugh MJ, Rupper RW, Kalvesmaki A, Leykum LK. Caregiver-specific quality measures for home- and community-based services: Environmental scan and stakeholder priorities. J Am Geriatr Soc 2024. [PMID: 39082626 DOI: 10.1111/jgs.19094] [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: 11/29/2023] [Revised: 04/18/2024] [Accepted: 06/28/2024] [Indexed: 09/12/2024]
Abstract
Although family caregivers are increasingly recognized for their essential role in helping vulnerable adults live in the community for as long as possible, their priorities and perspectives have not been well-integrated into quality assessments of home- and community-based services (HCBS). Our overall goal was to identify measurement gaps to guide monitoring and improve HCBS. Caregiver-specific measurement priorities were identified during a multi-level stakeholder engagement process that included 34 Veterans, 24 caregivers, and 39 facility leaders, clinicians, and staff across four VA healthcare systems. We mapped items from national quality measure sets for HCBS identified during an environmental scan onto the stakeholder-identified measurement priorities. Only 5 of 11 non-VA measure sets and three of four VA measure sets explicitly included caregiver-specific items that were aligned with or relevant to stakeholders' measurement priorities. Six of 14 stakeholder-identified priorities were not reflected in any measure sets, such as those that explicitly assess caregiver-reported experience with services that directly or indirectly support their role as caregivers within HCBS. Although family caregivers fulfill a critical role in helping adults with complex medical needs live independently for as long as possible, their priorities and perspectives have not been well-integrated into quality assessments of HCBS. Measures that acknowledge caregivers' roles and incorporate their priorities can help healthcare systems to better monitor and improve HCBS quality, thereby enabling Veterans to remain in the community as long as possible.
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Affiliation(s)
- Polly Hitchcock Noël
- Department of Veterans Affairs Elizabeth Dole Center of Excellence for Veteran and Caregiver Research, San Antonio, Texas, USA
- South Texas Veterans Health Care System, Research & Development Service, San Antonio, Texas, USA
- Long School of Medicine, UT Health San Antonio, San Antonio, Texas, USA
| | - Lauren S Penney
- Center for Scientific Review, National Institutes of Health, Bethesda, Maryland, USA
| | - Erin P Finley
- Long School of Medicine, UT Health San Antonio, San Antonio, Texas, USA
| | - Julie Parish
- Department of Veterans Affairs Elizabeth Dole Center of Excellence for Veteran and Caregiver Research, San Antonio, Texas, USA
- South Texas Veterans Health Care System, Research & Development Service, San Antonio, Texas, USA
- Long School of Medicine, UT Health San Antonio, San Antonio, Texas, USA
| | - Jacqueline A Pugh
- Long School of Medicine, UT Health San Antonio, San Antonio, Texas, USA
| | - Roxana E Delgado
- Department of Veterans Affairs Elizabeth Dole Center of Excellence for Veteran and Caregiver Research, San Antonio, Texas, USA
- School of Nursing, UT Health San Antonio, San Antonio, Texas, USA
| | - Kimberly S Peacock
- Department of Veterans Affairs Elizabeth Dole Center of Excellence for Veteran and Caregiver Research, San Antonio, Texas, USA
| | - Stuti Dang
- Department of Veterans Affairs Elizabeth Dole Center of Excellence for Veteran and Caregiver Research, San Antonio, Texas, USA
- Miami Veterans Affairs Geriatric Research Education and Clinical Center (GRECC), Miami, Florida, USA
- Division of Geriatrics and Palliative Care, University of Miami Miller School of Medicine, Miami, Florida, USA
| | - Ranak Trivedi
- Department of Veterans Affairs Elizabeth Dole Center of Excellence for Veteran and Caregiver Research, San Antonio, Texas, USA
- Center for Innovation to Implementation, VA Palo Alto Health Care System, Palo Alto, California, USA
- Division of Public Mental Health and Population Sciences, Department of Psychiatry and Behavioral Sciences, Stanford University, Palo Alto, California, USA
| | - Erin D Bouldin
- Department of Veterans Affairs Elizabeth Dole Center of Excellence for Veteran and Caregiver Research, San Antonio, Texas, USA
- VA Salt Lake City Health Care System, Informatics, Decision-Enhancement, and Analytic Sciences Center, Salt Lake City, Utah, USA
- Department of Internal Medicine, University of Utah, Salt Lake City, Utah, USA
| | - Mary J Pugh
- Department of Veterans Affairs Elizabeth Dole Center of Excellence for Veteran and Caregiver Research, San Antonio, Texas, USA
- VA Salt Lake City Health Care System, Informatics, Decision-Enhancement, and Analytic Sciences Center, Salt Lake City, Utah, USA
- Department of Internal Medicine, University of Utah, Salt Lake City, Utah, USA
| | - Randall W Rupper
- Department of Veterans Affairs Elizabeth Dole Center of Excellence for Veteran and Caregiver Research, San Antonio, Texas, USA
- Department of Internal Medicine, University of Utah, Salt Lake City, Utah, USA
- Geriatric Research and Clinical Center (GRECC), George E. Wahlen Veteran Affairs Medical Center, Salt Lake City, Utah, USA
| | - Andrea Kalvesmaki
- Department of Veterans Affairs Elizabeth Dole Center of Excellence for Veteran and Caregiver Research, San Antonio, Texas, USA
- VA Salt Lake City Health Care System, Informatics, Decision-Enhancement, and Analytic Sciences Center, Salt Lake City, Utah, USA
- Department of Internal Medicine, University of Utah, Salt Lake City, Utah, USA
| | - Luci K Leykum
- Department of Veterans Affairs Elizabeth Dole Center of Excellence for Veteran and Caregiver Research, San Antonio, Texas, USA
- South Texas Veterans Health Care System, Medicine Service, San Antonio, Texas, USA
- Dell Medical School, University of Texas at Austin, Austin, Texas, USA
- Harbor Health, Austin, Texas, USA
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Deardorff WJ, Jeon SY, Barnes DE, Boscardin WJ, Langa KM, Covinsky KE, Mitchell SL, Lee SJ, Smith AK. Development and External Validation of Models to Predict Need for Nursing Home Level of Care in Community-Dwelling Older Adults With Dementia. JAMA Intern Med 2024; 184:81-91. [PMID: 38048097 PMCID: PMC10696518 DOI: 10.1001/jamainternmed.2023.6548] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Accepted: 10/09/2023] [Indexed: 12/05/2023]
Abstract
Importance Most older adults living with dementia ultimately need nursing home level of care (NHLOC). Objective To develop models to predict need for NHLOC among older adults with probable dementia using self-report and proxy reports to aid patients and family with planning and care management. Design, Setting, and Participants This prognostic study included data from 1998 to 2016 from the Health and Retirement Study (development cohort) and from 2011 to 2019 from the National Health and Aging Trends Study (validation cohort). Participants were community-dwelling adults 65 years and older with probable dementia. Data analysis was conducted between January 2022 and October 2023. Exposures Candidate predictors included demographics, behavioral/health factors, functional measures, and chronic conditions. Main Outcomes and Measures The primary outcome was need for NHLOC defined as (1) 3 or more activities of daily living (ADL) dependencies, (2) 2 or more ADL dependencies and presence of wandering/need for supervision, or (3) needing help with eating. A Weibull survival model incorporating interval censoring and competing risk of death was used. Imputation-stable variable selection was used to develop 2 models: one using proxy responses and another using self-responses. Model performance was assessed by discrimination (integrated area under the receiver operating characteristic curve [iAUC]) and calibration (calibration plots). Results Of 3327 participants with probable dementia in the Health and Retirement Study, the mean (SD) age was 82.4 (7.4) years and 2301 (survey-weighted 70%) were female. At the end of follow-up, 2107 participants (63.3%) were classified as needing NHLOC. Predictors for both final models included age, baseline ADL and instrumental ADL dependencies, and driving status. The proxy model added body mass index and falls history. The self-respondent model added female sex, incontinence, and date recall. Optimism-corrected iAUC after bootstrap internal validation was 0.72 (95% CI, 0.70-0.75) in the proxy model and 0.64 (95% CI, 0.62-0.66) in the self-respondent model. On external validation in the National Health and Aging Trends Study (n = 1712), iAUC in the proxy and self-respondent models was 0.66 (95% CI, 0.61-0.70) and 0.64 (95% CI, 0.62-0.67), respectively. There was excellent calibration across the range of predicted risk. Conclusions and Relevance This prognostic study showed that relatively simple models using self-report or proxy responses can predict need for NHLOC in community-dwelling older adults with probable dementia with moderate discrimination and excellent calibration. These estimates may help guide discussions with patients and families in future care planning.
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Affiliation(s)
- W. James Deardorff
- Division of Geriatrics, Department of Medicine, University of California, San Francisco
- Geriatrics, Palliative and Extended Care Service Line, San Francisco Veterans Affairs Health Care System, San Francisco, California
| | - Sun Y. Jeon
- Division of Geriatrics, Department of Medicine, University of California, San Francisco
- Geriatrics, Palliative and Extended Care Service Line, San Francisco Veterans Affairs Health Care System, San Francisco, California
| | - Deborah E. Barnes
- Department of Epidemiology and Biostatistics, University of California, San Francisco
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco
| | - W. John Boscardin
- Division of Geriatrics, Department of Medicine, University of California, San Francisco
- Geriatrics, Palliative and Extended Care Service Line, San Francisco Veterans Affairs Health Care System, San Francisco, California
- Department of Epidemiology and Biostatistics, University of California, San Francisco
| | - Kenneth M. Langa
- Department of Internal Medicine, School of Medicine, University of Michigan, Ann Arbor
- Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor
- Veterans Affairs Ann Arbor Center for Clinical Management Research, Ann Arbor, Michigan
- Institute for Social Research, University of Michigan, Ann Arbor
| | - Kenneth E. Covinsky
- Division of Geriatrics, Department of Medicine, University of California, San Francisco
- Associate Editor, JAMA Internal Medicine
| | - Susan L. Mitchell
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, Massachusetts
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | - Sei J. Lee
- Division of Geriatrics, Department of Medicine, University of California, San Francisco
- Geriatrics, Palliative and Extended Care Service Line, San Francisco Veterans Affairs Health Care System, San Francisco, California
| | - Alexander K. Smith
- Division of Geriatrics, Department of Medicine, University of California, San Francisco
- Geriatrics, Palliative and Extended Care Service Line, San Francisco Veterans Affairs Health Care System, San Francisco, California
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Genge C, McNeil H, Debergue P, Freeman S. Technology to support aging in place: key messages for policymakers and funders. Front Psychol 2023; 14:1287486. [PMID: 38078234 PMCID: PMC10699325 DOI: 10.3389/fpsyg.2023.1287486] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Accepted: 10/31/2023] [Indexed: 10/16/2024] Open
Abstract
AgeTech, a subset of the health technology industry, uses technology to support healthy aging, and support care partners and health professionals to improve quality of life for aging adults. By enhancing and adapting alternative care approaches through emerging technologies, it is possible to enable and extend the ability for older adults to safely age in place within their own homes, improve care experiences, and/or decrease long-term care costs/needs. With the rapid development and proliferation of AgeTech into the consumer market, it is paramount for policymakers and funders to ensure that AgeTech solutions can be leveraged to support older adults to age well in place. This paper highlights five key messages for policymakers and funders drawing on experiences from Canada. First, it is essential to embrace a life course perspective on aging, recognizing the heterogeneity of older adults who experience diverse and evolving needs. AgeTech should adapt as needs and capacities evolve. Second, AgeTech should solve a real problem. Technology must be well aligned to the needs and preferences of older adults to be impactful. Third, health related AgeTech should empower, enhance, or support existing health care services, while recognizing the value of human interactions. In-person interactions can provide meaningful connection and important health data which should be enhanced not replaced. Fourth, the establishment and ongoing fostering of authentic partnerships to inform, co-create and co-design AgeTech solutions is key to developing successful products. Finally, policymakers and funders have an important role to play in enabling accelerated design, development and testing to meet current and future needs.
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Affiliation(s)
- Courtney Genge
- National Research Council Canada, Aging in Place Challenge Program, Ottawa, ON, Canada
| | - Heather McNeil
- National Research Council Canada, Aging in Place Challenge Program, Ottawa, ON, Canada
| | - Patricia Debergue
- National Research Council Canada, Aging in Place Challenge Program, Ottawa, ON, Canada
| | - Shannon Freeman
- School of Nursing, University of Northern British Columbia, Prince George, BC, Canada
- Centre for Technology Adoption for Aging in the North, Prince George, BC, Canada
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Soldado-Matoses MS, Caplliure-Llopis J, Barrios C. Effectiveness of a home health monitoring and education program for complex chronic patients, led by primary care nurses. Front Public Health 2023; 11:1281980. [PMID: 38026405 PMCID: PMC10665850 DOI: 10.3389/fpubh.2023.1281980] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Accepted: 10/23/2023] [Indexed: 12/01/2023] Open
Abstract
Background The challenge of chronicity has led developed countries to design strategies to respond to the new needs of complex chronic patients (CCP). There is evidence supporting better beneficial effects and more efficient care for CCP when home-base care programs are provided by Primary Health Care professionals. The main objective of the present study was to assess the effectiveness of a nursing intervention program of home visits for CCP analyzing the use of health services in terms of hospital admissions, emergency care unit visits, and mortality rate. Methods A quasi-experimental study was designed to retrospectively evaluate the effectiveness of a 3-year proactive, individualized nursing intervention in improving health outcomes measured by health service utilization (hospitalization, emergency care, and nursing home visits) in these patients. Of the 344 complex chronic patients participating in the study, 93 were assigned to the intervention group (IG) and 251 to the control group (CG). Results Along the period of study, the number of home visits in the IG almost tripled in relation to the CG (14.29 ± 4.49 vs. 4.17 ± 2.68, p < 0.001). Admissions in the first and second year of the study period were lower in the intervention group p = 0.002 and p < 0.001 respectively. All the participants in the control group were admitted at least once during the study period. In contrast, 29.0% of the participants in the intervention group never had a hospital admission during the 3-years study period. The number of ED visits to the emergency department was significantly lower in the IG during the 3 years of the study periods. The cumulative number of emergency visits in the IG was half that in the CG (5.66 ± 4. vs. 11.11 ± 4.45, p < 0.001, Cohen'd,1.53). A total of 35.5% of the participants in the intervention group visited the emergency department on three or fewer occasions compared to 98% of the subjects in the control group who visited the emergency department on more than six occasions (p < 0.001). The 3-year overall mortality rate was 23.5% in the control group and 21.6% in the nursing home visit program. These differences were not statistically significant. Conclusion The program demonstrated its effectiveness in reduction of hospital admissions and visits to the emergency department. The program had no impact on mortality rate. This program of home visits reinforces the role of primary care nurses in advanced competencies in chronicity.
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Affiliation(s)
- María S. Soldado-Matoses
- School of Doctorate, University of Valencia Saint Vincent Martyr, Valencia, Spain
- Department of Health La Ribera, Valencia, Spain
| | - Jordi Caplliure-Llopis
- Department of Nursing, School of Medicine and Health Sciences, Catholic University of Valencia Saint Vincent Martyr, Valencia, Spain
| | - Carlos Barrios
- Institute for Research on Musculoskeletal Disorders, Catholic University of Valencia Saint Vincent Martyr, Valencia, Spain
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5
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Lin W, Yin W, Yuan D. Association of home and community-based services and cognitive function of Chinese older adults: social participation as a mediator. BMC Geriatr 2023; 23:691. [PMID: 37875828 PMCID: PMC10599025 DOI: 10.1186/s12877-023-04414-y] [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: 08/12/2022] [Accepted: 10/16/2023] [Indexed: 10/26/2023] Open
Abstract
BACKGROUND This study makes an effort to examine the impact of home and community-based services on maintaining cognitive function and understand the mediating effect of social participation on the relationship of community services and older adults' cognitive function in China. METHOD The empirical data comes from the Chinese Longitudinal Healthy Longevity Survey (CLHLS). A total of 38,582 (person-time) respondents were gathered for this study. The two-way fixed effects regression model is used to estimate the associations between independent variables, mediating variables and cognitive ability after controlling for socio-demographic, family responsibility, and time variables. RESULT This study has confirmed that participating in daily and social activities is associated with the cognitive functions of Chinese older adults. Social participation can stimulate cognition. Active participation in outdoor activities, doing housework or taking care of kids, daily playing cards or mah-jong, reading books and newspapers, watching TV, and listening to the radio can significantly promote the cognitive ability of older adults. In addition, the findings have indicated the importance of community services for older adults. This study shows personal daily care services, legal aid services, health education services, as well as dealing with family and neighborhood disputes have a positive effect on maintaining older adults' cognitive functions. Meanwhile, the provision of door-to-door medical services hurts their cognitive functions. This study also illustrates that community-based services can increase the level of older adults' social participation, and then enhance their level of cognitive function. CONCLUSION This study can inform service provision agencies to develop targeted programs to support older adults' continued engagement.
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Affiliation(s)
- Wenyi Lin
- School of Public Administration, Jinan University, Guangzhou, China
- Common Prosperity and National Governance Institute, Jinan University, Guangzhou, China
| | - Wanxia Yin
- School of Public Administration, Jinan University, Guangzhou, China
| | - Dinghuan Yuan
- School of Public Administration, Jinan University, Guangzhou, China.
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Moody E, Jenssen EP, McDougall H, Weeks LE, Macdonald M, Langman E, McArthur C, Affoo R. Effectiveness of programs that offer individualized, multifactorial support to community-dwelling older people with ongoing health and social care needs: a systematic review protocol. JBI Evid Synth 2023; 21:1655-1664. [PMID: 37042178 DOI: 10.11124/jbies-22-00330] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/13/2023]
Abstract
OBJECTIVE The objective of this review is to assess the effectiveness of programs that offer individualized, multifactorial support to community-dwelling older people with ongoing health and social care needs and to report how these programs affect quality of life and health system outcomes. INTRODUCTION As people age, they often have multiple chronic conditions and functional impairment, and as a result, they need support to live well. Nursing homes and other residential facilities provide care for people with such needs; however, they can be expensive and older people generally prefer to remain at home, in their community. There is growing interest in programs that offer individualized, multifactorial support in the community for people with complex health and social care needs. INCLUSION CRITERIA This review will focus on the effectiveness of programs that offer individualized, multifactorial support in the community for people over the age of 60 who are identified as having ongoing health and social care needs. The review will assess quality of life and health system outcomes, such as hospital admission. METHODS This review will be conducted in accordance with the JBI methodology for systematic reviews of effectiveness. Ten databases will be searched for published and unpublished studies. Titles, abstracts, and full-text studies will be screened by 2 or more independent reviewers and assessed for methodological validity using the standard JBI critical assessment tools. Relevant data will be extracted using the JBI data extraction tools. The data will then be synthesized and reported using measures of evidence certainty. REVIEW REGISTRATION PROSPERO CRD42022324061.
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Affiliation(s)
- Elaine Moody
- School of Nursing, Dalhousie University, Halifax, NS, Canada
- Aligning Health Needs with Evidence for Transformative Change (AH-NET-C): A JBI Centre of Excellence, Dalhousie University, Halifax, NS, Canada
| | - Elliot Paus Jenssen
- Strategy for Patient-Oriented Research (SPOR) Evidence Alliance Citizen Lead, Saskatoon, SK, Canada
| | | | - Lori E Weeks
- School of Nursing, Dalhousie University, Halifax, NS, Canada
- Aligning Health Needs with Evidence for Transformative Change (AH-NET-C): A JBI Centre of Excellence, Dalhousie University, Halifax, NS, Canada
| | - Marilyn Macdonald
- School of Nursing, Dalhousie University, Halifax, NS, Canada
- Aligning Health Needs with Evidence for Transformative Change (AH-NET-C): A JBI Centre of Excellence, Dalhousie University, Halifax, NS, Canada
| | - Erin Langman
- Aligning Health Needs with Evidence for Transformative Change (AH-NET-C): A JBI Centre of Excellence, Dalhousie University, Halifax, NS, Canada
| | - Caitlin McArthur
- School of Physiotherapy, Dalhousie University, Halifax, NS, Canada
| | - Rebecca Affoo
- School of Communication Sciences and Disorders, Dalhousie University, Halifax, NS, Canada
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Dramé M, Volberg A, Kanagaratnam L, Coutureau C, Godaert L. Predictors of Nursing Home Entry within 36 Months after Hospitalization via the Emergency Department among Persons Aged 75 Years or Older. Geriatrics (Basel) 2023; 8:67. [PMID: 37367099 DOI: 10.3390/geriatrics8030067] [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: 04/05/2023] [Revised: 06/02/2023] [Accepted: 06/05/2023] [Indexed: 06/28/2023] Open
Abstract
OBJECTIVE We aimed to identify risk factors for nursing home (NH) entry 36 months after hospitalization via the emergency department (ED) in a population of patients aged 75 years or older. METHODS This was a prospective multicentre cohort. Patients were recruited from the emergency departments (EDs) of nine hospitals. Subjects had been hospitalised in a medical ward in the same hospital as the ED to which they were initially admitted. Subjects who experienced NH entry prior to ED admission were excluded. NH entry has been defined as the incident admission either into an NH or other long-term care facility within the follow-up period. Variables from a comprehensive geriatric assessment of patients were entered into a Cox model with competing risks to predict NH entry during 3 years of follow-up. RESULTS Among 1306 patients included in the SAFES cohort, 218 (16.7%) who were already in an NH were excluded. The remaining 1088 patients included in the analysis were aged 84 ± 6 years on average. During 3 years of follow-up, 340 (31.3%) entered an NH. The independent risk factors for NH entry were that they: living alone (Hazard ratio (HR) 2.00, had a 95% confidence interval (CI) 1.59-2.54, p < 0.0001), could not independently perform activities of daily living (HR 1.81, 95% CI 1.24-2.64, p = 0.002), and had balance disorders (HR 1.37, 95% CI 1.09-1.73, p = 0.007), dementia syndrome (HR 1.80, 95% CI 1.42-2.29, p < 0.0001) and a risk of pressure ulcers (HR 1.42, 95% CI 1.10-1.82, p = 0.006). CONCLUSION The majority of the risk factors for NH entry within 3 years after emergency hospitalization are amenable to intervention strategies. It is therefore reasonable to imagine that targeting these features of frailty could delay or prevent NH entry and improve the quality of life of these individuals before and after NH entry.
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Affiliation(s)
- Moustapha Dramé
- EpiCliV Research Unit, Faculty of Medicine, University of the French West Indies, Fort-de-France F-97200, Martinique
- Department of Clinical Research and Innovation, University Hospitals of Martinique, Fort-de-France F-97200, Martinique
| | - Alison Volberg
- Department of Clinical Research and Innovation, University Hospitals of Martinique, Fort-de-France F-97200, Martinique
| | - Lukshe Kanagaratnam
- Department of Clinical Research and Innovation, University Hospitals of Reims, F-51100 Reims, France
| | - Claire Coutureau
- Department of Clinical Research and Innovation, University Hospitals of Reims, F-51100 Reims, France
| | - Lidvine Godaert
- EpiCliV Research Unit, Faculty of Medicine, University of the French West Indies, Fort-de-France F-97200, Martinique
- Department of Geriatrics, General Hospital of Valenciennes, F-59300 Valenciennes, France
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Waymouth M, Siconolfi D, Friedman EM, Saliba D, Ahluwalia SC, Shih RA. Barriers and Facilitators to Home- and Community-Based Services Access for Persons With Dementia and Their Caregivers. J Gerontol B Psychol Sci Soc Sci 2023; 78:1085-1097. [PMID: 36896936 PMCID: PMC10214645 DOI: 10.1093/geronb/gbad039] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Indexed: 03/11/2023] Open
Abstract
OBJECTIVES The United States has seen increasing shifts toward home- and community-based services (HCBS) in place of institutional care for long-term services and supports. However, research has neglected to assess whether these shifts have improved access to HCBS for persons with dementia. This paper identifies HCBS access barriers and facilitators, and discusses how barriers contribute to disparities for persons with dementia living in rural areas and exacerbate disparities for minoritized populations. METHODS We analyzed qualitative data from 35 in-depth interviews. Interviews were held with stakeholders in the HCBS ecosystem, including Medicaid administrators, advocates for persons with dementia and caregivers, and HCBS providers. RESULTS Barriers to HCBS access for persons with dementia range from community and infrastructure barriers (e.g., clinicians and cultural differences), to interpersonal and individual-level barriers (e.g., caregivers, awareness, and attitudes). These barriers affect the health and quality of life for persons with dementia and may affect whether individuals can remain in their home or community. Facilitators included a range of more comprehensive and dementia-attuned practices and services in health care, technology, recognition and support for family caregivers, and culturally competent and linguistically accessible education and services. DISCUSSION System refinements, such as incentivizing cognitive screening, can improve detection and increase access to HCBS. Disparities in HCBS access experienced by minoritized persons with dementia may be addressed through culturally competent awareness campaigns and policies that recognize the necessity of familial caregivers in supporting persons with dementia. These findings can inform efforts to ensure more equitable access to HCBS, improve dementia competence, and reduce disparities.
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Affiliation(s)
| | | | - Esther M Friedman
- Institute for Social Research, University of Michigan, Ann Arbor, Michigan, USA
| | - Debra Saliba
- RAND Corporation, Santa Monica, California, USA
- UCLA Borun Center & Veterans Health Administration Geriatric Research, Education and Clinical Center, Los Angeles, California, USA
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Eltaybani S, Kawase K, Kato R, Inagaki A, Li CC, Shinohara M, Igarashi A, Sakka M, Sumikawa Y, Fukui C, Yamamoto-Mitani N. Effectiveness of home visit nursing on improving mortality, hospitalization, institutionalization, satisfaction, and quality of life among older people: Umbrella review. Geriatr Nurs 2023; 51:330-345. [PMID: 37060618 DOI: 10.1016/j.gerinurse.2023.03.018] [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] [Received: 11/22/2022] [Revised: 03/19/2023] [Accepted: 03/20/2023] [Indexed: 04/17/2023]
Abstract
This umbrella review followed the JBI methodology and synthesized systematic reviews of the effectiveness of long-term home visit nursing for older people (≥ 60 years) on improving mortality, hospitalization, institutionalization, patient satisfaction, and quality of life. Eight bibliographic databases were searched, and 10 reviews with 22 distinct relevant trials (n = 10,765 participants) were included. Mortality was the most frequently examined outcome and satisfaction was the least examined (n = nine and one reviews, respectively). Home visit nursing had a favorable effect on reducing the number of admissions to hospital (n = 1,152 participants in two trials vs. 788 participants in three trials) and no effect on other outcomes. The evidence of the effectiveness of long-term home visit nursing for older people is minimal. Future research needs to be based on a theoretical foundation that explains how interventions are expected to work.
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Affiliation(s)
- Sameh Eltaybani
- Department of Gerontological Homecare and Long-Term Care Nursing, Division of Health Science and Nursing, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan; Global Nursing Research center (GNRC), The University of Tokyo, Tokyo, Japan.
| | - Kiyomi Kawase
- Department of Gerontological Homecare and Long-Term Care Nursing, Division of Health Science and Nursing, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
| | - Risako Kato
- Department of Gerontological Homecare and Long-Term Care Nursing, Division of Health Science and Nursing, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
| | - Asa Inagaki
- Department of Gerontological Homecare and Long-Term Care Nursing, Division of Health Science and Nursing, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Chia-Chien Li
- Department of Gerontological Homecare and Long-Term Care Nursing, Division of Health Science and Nursing, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
| | - Masumi Shinohara
- Department of Gerontological Homecare and Long-Term Care Nursing, Division of Health Science and Nursing, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
| | - Ayumi Igarashi
- Department of Gerontological Homecare and Long-Term Care Nursing, Division of Health Science and Nursing, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
| | - Mariko Sakka
- Department of Gerontological Homecare and Long-Term Care Nursing, Division of Health Science and Nursing, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
| | - Yuka Sumikawa
- Department of Gerontological Homecare and Long-Term Care Nursing, Division of Health Science and Nursing, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
| | - Chie Fukui
- Department of Gerontological Homecare and Long-Term Care Nursing, Division of Health Science and Nursing, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
| | - Noriko Yamamoto-Mitani
- Department of Gerontological Homecare and Long-Term Care Nursing, Division of Health Science and Nursing, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
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Risk factors for nursing home admission among older adults: Analysis of basic movements and activities of daily living. PLoS One 2023; 18:e0279312. [PMID: 36706104 PMCID: PMC9882900 DOI: 10.1371/journal.pone.0279312] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Accepted: 12/05/2022] [Indexed: 01/28/2023] Open
Abstract
This retrospective study aimed to clarify the risk of older adults' nursing home placement in terms of basic movements and activities of daily living (ADLs) by analyzing data from a long-term care insurance certification survey in 2016‒2018 in City A. Of the 21,520 people certified as needing care, 16,865 could be followed up until 2018. Data on sex, age, household structure, and level of care required were obtained. Those who lived at home and at nursing homes were categorized as the "Unchanged group" and the "Changed group," respectively. Multivariate binomial logistic regression analysis was performed, with group type as the dependent variable and basic movement and ADL scores as the independent variables. For factor analysis according to care level, participants were classified into support need levels 1 and 2, care need levels 1 and 2, and care need levels 3, 4, and 5. For those categorized into support need levels 1 and 2, standing on one leg and transferring (basic movements) and urination and face cleaning (ADLs) were associated with nursing home placement. For those in care need levels 1 and 2, getting up and transferring (basic movements) and bathing, urination, face cleaning, and hair styling (ADL) were significantly associated with nursing home placement. For those in care need levels 3, 4, and 5, sitting and transferring (basic movements) and self-feeding and defecation (ADL) were significant. Occupational therapists must focus on older adults' declining ADLs and basic movements and relay the necessary information to patients, families, and other healthcare professionals to ensure appropriate and prompt care delivery.
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11
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Eltaybani S, Kawase K, Kato R, Inagaki A, Shinohara M, Yamamoto-Mitani N. Effectiveness of home visit nursing for improving patient-related clinical outcomes in older people: an umbrella review protocol. JBI Evid Synth 2022; 20:2071-2078. [DOI: 10.11124/jbies-21-00343] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/31/2022]
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12
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Leykum LK, Finley EP, Penney LS, Parish Johnson J, Pugh JA, Noel PH. Engaging Veterans, caregivers, and system stakeholders to improve VA home and community-based services. Health Serv Res 2022; 57 Suppl 1:66-76. [PMID: 35243641 PMCID: PMC9108224 DOI: 10.1111/1475-6773.13926] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Revised: 11/11/2021] [Accepted: 11/14/2021] [Indexed: 11/30/2022] Open
Abstract
OBJECTIVE To understand Veterans', caregivers', and stakeholders' perceptions of home-based and caregiver support services and their suggestions for improvement to better align services with needs. DATA SOURCES We identified Veterans and caregivers at four EDCoE sites using the VA high-need, high-risk list, representing Veterans who qualify for home-based primary care. We randomly selected Veterans and their caregivers, stratifying by age. We also identified leaders and clinicians involved in clinical service delivery. STUDY DESIGN Between February and November 2019, we conducted in-person and telephone interviews and focus groups using semi-structured questions tailored to each group, analyzing them through a rapid qualitative analysis approach and providing real-time feedback to operational partners. DATA COLLECTION Thirty-four Veterans, 24 caregivers, and 39 leaders and clinicians participated. PRINCIPAL FINDINGS Respondents identified key categories of experience that could be monitored and improved, including navigating an increasingly complex system, coordinating and communicating across services, and unmet household and financial needs. Veterans and caregivers described quality in terms of reliability, timeliness, standardization, and accountability. Summaries were created to contextualize results and to highlight gaps and opportunities for new measures and policy development. CONCLUSIONS Collaborating with Veterans, caregivers, and stakeholders enables us to understand their daily experiences and to develop meaningful approaches to evaluating services that incorporate their perspectives. Providing regular, actionable feedback to operational partners informs policy and operational initiatives, such as the scope of services and infrastructure for system navigation.
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Affiliation(s)
- Luci K. Leykum
- Department of Veterans AffairsElizabeth Dole Center of Excellence for Veterans and Caregiver ResearchUSA
- Medicine and Research ServicesSouth Texas Veterans Health Care SystemSan AntonioTexasUSA
- Dell Medical SchoolUniversity of Texas at AustinAustinTexasUSA
| | - Erin P. Finley
- Department of Veterans AffairsElizabeth Dole Center of Excellence for Veterans and Caregiver ResearchUSA
- Long School of MedicineUniversity of Texas Health Science Center at San AntonioSan AntonioTexasUSA
- Research ServicesVA Greater Los Angeles Health Care SystemLos AngelesCaliforniaUSA
| | - Lauren S. Penney
- Department of Veterans AffairsElizabeth Dole Center of Excellence for Veterans and Caregiver ResearchUSA
- Medicine and Research ServicesSouth Texas Veterans Health Care SystemSan AntonioTexasUSA
- Long School of MedicineUniversity of Texas Health Science Center at San AntonioSan AntonioTexasUSA
| | - Julie Parish Johnson
- Department of Veterans AffairsElizabeth Dole Center of Excellence for Veterans and Caregiver ResearchUSA
- Medicine and Research ServicesSouth Texas Veterans Health Care SystemSan AntonioTexasUSA
- Long School of MedicineUniversity of Texas Health Science Center at San AntonioSan AntonioTexasUSA
| | - Jacqueline A. Pugh
- Department of Veterans AffairsElizabeth Dole Center of Excellence for Veterans and Caregiver ResearchUSA
- Medicine and Research ServicesSouth Texas Veterans Health Care SystemSan AntonioTexasUSA
- Long School of MedicineUniversity of Texas Health Science Center at San AntonioSan AntonioTexasUSA
| | - Polly H. Noel
- Department of Veterans AffairsElizabeth Dole Center of Excellence for Veterans and Caregiver ResearchUSA
- Medicine and Research ServicesSouth Texas Veterans Health Care SystemSan AntonioTexasUSA
- Long School of MedicineUniversity of Texas Health Science Center at San AntonioSan AntonioTexasUSA
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13
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Davila H, O'Malley KA, Shin MH, Engle RL, Adjognon OL, Sullivan JL. Supporting Veterans with dementia to remain in the community: strategies used in 12 Veterans Health Administration programs. Home Health Care Serv Q 2022; 41:149-164. [PMID: 35068371 DOI: 10.1080/01621424.2022.2027315] [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
The Veterans Health Administration (VA) provides services to growing numbers of Veterans with dementIa, individuals at heightened risk for hospitalizations and nursing home placement. Beginning in 2010, the VA funded 12 innovative pilot programs to improve dementia care and help Veterans remain at home. We conducted a retrospective qualitative analysis of program materials and interviews with physicians, nurses, social workers, and other personnel (n = 33) to understand the strategies these programs adopted. Interviews were conducted every 6 months between 2010-2013 (4-5 interviews per program) and focused on factors affecting program design and implementation, challenges, and strategies to reduce hospitalizations and nursing home placements. Programs varied considerably yet shared three overarching strategies to improve dementia care: involving and supporting family caregivers; engaging interdisciplinary teams; and improving coordination with other healthcare providers. Our results highlight the importance of adapting common dementia care strategies based on the local context and needs of individuals served.
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Affiliation(s)
- Heather Davila
- Center for Access and Delivery Research and Evaluation, Iowa City Veterans Affairs (VA) Healthcare System, Iowa City, Iowa, USA.,Department of Internal Medicine, Carver College of Medicine, University of Iowa, Iowa City, Iowa, USA
| | - Kelly A O'Malley
- Community Living Center, VA Boston Healthcare System, Boston, Massachusetts, USA.,New England Geriatric Research Education Clinical Center, VA Boston Healthcare System, Boston, Massachusetts, USA.,Department of Psychiatry, Harvard Medical School, Boston, Massachusetts, USA
| | - Marlena H Shin
- Center for Healthcare Organization and Implementation Research, VA Boston Healthcare System, Boston, Massachusetts, USA
| | - Ryann L Engle
- Center for Healthcare Organization and Implementation Research, VA Boston Healthcare System, Boston, Massachusetts, USA
| | - Omonyêlé L Adjognon
- Center for Healthcare Organization and Implementation Research, VA Boston Healthcare System, Boston, Massachusetts, USA
| | - Jennifer L Sullivan
- Center of Innovation in Long Term Services and Supports, VA Providence Healthcare System, Providence, Rhode Island, USA.,Department of Health Services, Policy and Practice, Brown University School of Public Health, Providence, Rhode Island, USA
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14
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Jacobs JC, Maciejeweski ML, Wagner TH, Van Houtven CH, Lo J, Greene L, Zulman DM. Improving Prediction of Long-Term Care Utilization Through Patient-Reported Measures: Cross-Sectional Analysis of High-Need U.S. Veterans Affairs Patients. Med Care Res Rev 2021; 79:676-686. [PMID: 34906010 DOI: 10.1177/10775587211062403] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
This article examines the relative merit of augmenting an electronic health record (EHR)-derived predictive model of institutional long-term care (LTC) use with patient-reported measures not commonly found in EHRs. We used survey and administrative data from 3,478 high-risk Veterans aged ≥65 in the U.S. Department of Veterans Affairs, comparing a model based on a Veterans Health Administration (VA) geriatrics dashboard, a model with additional EHR-derived variables, and a model that added survey-based measures (i.e., activities of daily living [ADL] limitations, social support, and finances). Model performance was assessed via Akaike information criteria, C-statistics, sensitivity, and specificity. Age, a dementia diagnosis, Nosos risk score, social support, and ADL limitations were consistent predictors of institutional LTC use. Survey-based variables significantly improved model performance. Although demographic and clinical characteristics found in many EHRs are predictive of institutional LTC, patient-reported function and partnership status improve identification of patients who may benefit from home- and community-based services.
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Affiliation(s)
- Josephine C Jacobs
- VA Palo Alto Health Care System, Menlo Park, CA, USA.,Stanford University School of Medicine, Stanford, CA, USA
| | | | - Todd H Wagner
- VA Palo Alto Health Care System, Menlo Park, CA, USA.,Stanford University School of Medicine, Stanford, CA, USA
| | | | - Jeanie Lo
- VA Palo Alto Health Care System, Menlo Park, CA, USA
| | - Liberty Greene
- VA Palo Alto Health Care System, Menlo Park, CA, USA.,Stanford University School of Medicine, Stanford, CA, USA
| | - Donna M Zulman
- VA Palo Alto Health Care System, Menlo Park, CA, USA.,Stanford University School of Medicine, Stanford, CA, USA
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15
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Jacobs JC, Wagner TH, Trivedi R, Lorenz K, Van Houtven CH. Long-term care service mix in the Veterans Health Administration after home care expansion. Health Serv Res 2021; 56:1126-1136. [PMID: 34085283 PMCID: PMC8586480 DOI: 10.1111/1475-6773.13687] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2020] [Revised: 02/02/2021] [Accepted: 05/07/2021] [Indexed: 11/30/2022] Open
Abstract
OBJECTIVE To determine whether the Veterans Health Administration's (VHA) efforts to expand access to home- and community-based services (HCBS) after the 2001 Millennium Act significantly changed Veterans' utilization of institutional, paid home, and unpaid home care relative to a non-VHA user Medicare population that was not exposed to HCBS expansion efforts. DATA SOURCES We used linkages between the Health and Retirement Study and VHA administrative data from 1998 until 2012. STUDY DESIGN We conducted a retrospective-matched cohort study using coarsened exact matching to ensure balance on observable characteristics for VHA users (n = 943) and nonusers (n = 6106). We used a difference-in-differences approach with a person fixed-effects estimator. DATA COLLECTION/EXTRACTION METHODS Individuals were eligible for inclusion in the analysis if they were age 65 or older and indicated that they were covered by Medicare insurance in 1998. Individuals were excluded if they were covered by Medicaid insurance at baseline. Individuals were considered exposed to VHA HCBS expansion efforts if they were enrolled in the VHA and used VHA services. PRINCIPAL FINDINGS Theory predicts that an increase in the public allocation of HCBS will decrease the utilization of its substitutes (e.g., institutional care and unpaid caregiving). We found that after the Millennium Act was passed, there were no observed differences between VHA users and nonusers in the probability of using institutional long-term care (0.7% points, 95% CI: -0.009, 0.022) or in receiving paid help with activities of daily living (0.06% points, 95% CI: -0.011, 0.0125). VHA users received more hours of unpaid care post-Millennium Act (1.48, 95% CI: -0.232, 3.187), though this effect was not significant once we introduced controls for mental health. CONCLUSIONS Our findings indicate that mandating access to HCBS services does not necessarily imply that access to these services will follow suit.
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Affiliation(s)
- Josephine C. Jacobs
- Health Economics Resource CenterVA Palo Alto Health Care SystemMenlo ParkCaliforniaUSA
- Center for Innovation to Implementation, VA Palo Alto Health Care SystemMenlo ParkCaliforniaUSA
- Division of Primary Care and Outcomes ResearchStanford University School of MedicineStanfordCaliforniaUSA
| | - Todd H. Wagner
- Health Economics Resource CenterVA Palo Alto Health Care SystemMenlo ParkCaliforniaUSA
- Center for Innovation to Implementation, VA Palo Alto Health Care SystemMenlo ParkCaliforniaUSA
- Departments of SurgeryStanford University School of MedicineStanfordCaliforniaUSA
| | - Ranak Trivedi
- Center for Innovation to Implementation, VA Palo Alto Health Care SystemMenlo ParkCaliforniaUSA
- Department of Psychiatry and Behavioral SciencesStanford University School of MedicineStanfordCaliforniaUSA
| | - Karl Lorenz
- Center for Innovation to Implementation, VA Palo Alto Health Care SystemMenlo ParkCaliforniaUSA
- Section of Palliative Care, Division of Primary Care and Population HealthStanford University School of MedicineStanfordCaliforniaUSA
| | - Courtney H. Van Houtven
- Center of Innovation to Accelerate Discovery and Practice TransformationDurham Veterans Affairs Health Care SystemDurhamNorth CarolinaUSA
- Department of Population Health SciencesDuke University School of MedicineDurhamNorth CarolinaUSA
- Duke‐Margolis Center for Health PolicyDuke UniversityDurhamNorth CarolinaUSA
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16
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Campbell M, Stewart T, Brunkert T, Campbell-Enns H, Gruneir A, Halas G, Hoben M, Scott E, Wagg A, Doupe M. Prioritizing supports and services to help older adults age in place: A Delphi study comparing the perspectives of family/friend care partners and healthcare stakeholders. PLoS One 2021; 16:e0259387. [PMID: 34752475 PMCID: PMC8577765 DOI: 10.1371/journal.pone.0259387] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Accepted: 10/18/2021] [Indexed: 11/26/2022] Open
Abstract
Background Aging in place (AIP) is a policy strategy designed to help older adults remain in their community. While planners internationally have modified aspects of the older adult care continuum (e.g., home care, assisted living, nursing homes) to facilitate AIP, further improvements to community-based supports and services are also required. This study compared and constrasted the community-based factors (e.g., supports, services and personal strategies or characteristics) that family/friend care partners and healthcare stakeholders (i.e., planners/providers) view as most important to help older adults successfully AIP. Methods An initial list of factors shown to influence AIP was created from the academic literature. These factors were used to develop a Delphi survey implemented separately on care partners and healthcare stakeholders. Respondents rated the importance of each factor using a 10-point Likert Scale (1 = not important; 10 = absolutely critical). Consensus in each group was defined when at least 80% of participants scored a factor ≥8 (“very important”), with an interquartile range ≤2. Respondents suggested additional factors during Delphi round one. Results Care partners (N = 25) and healthcare stakeholders (N = 36) completed two and three Delphi rounds, respectively. These groups independently agreed that the following 3 (out of 27) factors were very important to help older adults age in place: keeping one’s home safe, maintaining strong inter-personal relationships, and coordinating care across formal providers. While healthcare stakeholders did not reach consensus on other factors, care partners agreed that 7 additional factors (e.g., access to affordable housing, having mental health programs) were important for AIP. Conclusions Compared to healthcare stakeholders, care partners felt that more and diverse community-based factors are important to support older adults to successfully AIP. Future research should replicate these findings in other jurisdictions, examine the availability and accessibility of the priority factors, and develop sustainable solutions to enhance their effectiveness.
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Affiliation(s)
- Megan Campbell
- Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
| | - Tara Stewart
- Department of Community Health Sciences, George and Fay Yee Centre for Healthcare Innovation, University of Manitoba, Winnipeg, MB, Canada
| | - Thekla Brunkert
- University Department of Geriatric Medicine FELIX PLATTER, Basel, Switzerland Institute of Nursing Science, Department Public Health, University of Basel, Basel, Switzerland
| | | | - Andrea Gruneir
- Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, Canada
| | - Gayle Halas
- Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
| | - Matthias Hoben
- Faculty of Nursing, University of Alberta, Edmonton, AB, Canada
| | - Erin Scott
- Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
| | - Adrian Wagg
- Department of Medicine, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, Canada
| | - Malcolm Doupe
- Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
- * E-mail:
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17
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Hajek A, Luppa M, Brettschneider C, van der Leeden C, van den Bussche H, Oey A, Wiese B, Weyerer S, Werle J, Fuchs A, Pentzek M, Löbner M, Stein J, Weeg D, Bickel H, Heser K, Wagner M, Scherer M, Maier W, Riedel-Heller SG, König HH. Correlates of institutionalization among the oldest old-Evidence from the multicenter AgeCoDe-AgeQualiDe study. Int J Geriatr Psychiatry 2021; 36:1095-1102. [PMID: 33772875 DOI: 10.1002/gps.5548] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2021] [Accepted: 03/21/2021] [Indexed: 12/31/2022]
Abstract
OBJECTIVES There is a lack of studies identifying the correlates of institutionalization specifically among the oldest old. Therefore, our aim was to fill this gap in knowledge. METHODS Cross-sectional data (Follow up wave 9; n = 633 observations in the analytical sample) were used from the multicenter prospective cohort study "Needs, health service use, costs and health-related quality of life in a large sample of oldest-old primary care patients (85+)" Correlates of institutionalization among the oldest old-Evidence from a multicenter cohort study. The sample consists of primary care patients aged 86 years and over (mean 90.5 years, SD: 2.9 years). Sociodemographic and health-related independent variables were included in our regression model. Institutionalization was defined as living in a nursing home or an old-age home (not including assisted living facilities). RESULTS Out of the 633 participants, 502 individuals (79.3%) did not live in an institutionalized setting, whereas 73 individuals (20.7%) lived in an institutionalized setting. Multiple logistic regressions showed that the likelihood of institutionalization increased with being divorced/widowed/single (compared to being married; OR: 5.35 [95% CI: 1.75-16.36]), the presence of social isolation (OR: 2.07 [1.20-3.59]), more depressive symptoms (OR: 1.11 [1.01-1.23]), increased cognitive impairment (OR: 1.67 [1.31-2.15]) and higher levels of frailty (OR: 1.48 [1.07-2.06]). CONCLUSION The study findings identified various sociodemographic and health-related factors associated with institutionalization among the oldest old. Longitudinal studies are required to gain further insights into these associations.
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Affiliation(s)
- André Hajek
- Department of Health Economics and Health Services Research, Hamburg Center for Health Economics, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Melanie Luppa
- Institute of Social Medicine, Occupational Health and Public Health, University of Leipzig, Leipzig, Germany
| | - Christian Brettschneider
- Department of Health Economics and Health Services Research, Hamburg Center for Health Economics, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Carolin van der Leeden
- Department of Primary Medical Care, Center for Psychosocial Medicin, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Hendrik van den Bussche
- Department of Primary Medical Care, Center for Psychosocial Medicin, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Anke Oey
- Institute of General Practic, Hannover Medical School, Hannover, Germany
| | - Birgitt Wiese
- Institute of General Practic, Hannover Medical School, Hannover, Germany
| | - Siegfried Weyerer
- Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany
| | - Jochen Werle
- Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany
| | - Angela Fuchs
- Institute of General Practice, Medical Faculty, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
| | - Michael Pentzek
- Institute of General Practice, Medical Faculty, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
| | - Margrit Löbner
- Institute of Social Medicine, Occupational Health and Public Health, University of Leipzig, Leipzig, Germany
| | - Janine Stein
- Institute of Social Medicine, Occupational Health and Public Health, University of Leipzig, Leipzig, Germany
| | - Dagmar Weeg
- Department of Psychiatry, Technical University of Munich, Munich, Germany
| | - Horst Bickel
- Department of Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Bonn, Germany
| | - Kathrin Heser
- Department of Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Bonn, Germany
| | - Michael Wagner
- Department of Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Bonn, Germany.,German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Martin Scherer
- Department of Primary Medical Care, Center for Psychosocial Medicin, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Wolfgang Maier
- Department of Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Bonn, Germany.,German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Steffi G Riedel-Heller
- Institute of Social Medicine, Occupational Health and Public Health, University of Leipzig, Leipzig, Germany
| | - Hans-Helmut König
- Department of Health Economics and Health Services Research, Hamburg Center for Health Economics, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
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18
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Madrigal C, Halladay CW, McConeghy K, Correa NA, Cersonsky TEK, Strauss D, Gravenstein S, Besdine RW, O'Toole TP, Rudolph JL. Derivation and Validation of a Predictive Algorithm for Long-Term Care Admission or Death. J Am Med Dir Assoc 2021; 22:1658-1663.e6. [PMID: 33984291 DOI: 10.1016/j.jamda.2021.03.034] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2020] [Revised: 03/17/2021] [Accepted: 03/23/2021] [Indexed: 11/18/2022]
Abstract
OBJECTIVES Older veterans prefer to remain in their homes and communities as long as possible. Although targeted delivery of home- and community-based services for veterans might delay long-term care placement, often, access to these services is inconsistently organized or delayed. To aid in early recognition of veterans at high risk for long-term care placement or death, we developed and validated a predictive algorithm, "Choose Home." DESIGN A retrospective observational cohort analysis was used. SETTING AND PARTICIPANTS Two cohorts of Veterans Health Administration (VHA; a large integrated health care system) users were assembled: Derivation (4.6 million) and Confirmation (4.7 million). The Derivation Cohort included Veterans Administration users from fiscal year 2013; the Confirmation Cohort included Veterans Administration users from fiscal year 2014. METHODS A total of 148 predictor variables, including demographics, comorbidities, and utilizations were selected using logistic regression to predict placement in a long-term care facility for >90 days or death within 2 years. RESULTS Veterans were predominantly male [92.8% (Derivation), 92.5% (Confirmation)] and older [61.7±15.5 (Derivation), 61.5±15.6 years (Confirmation)], with a high prevalence of comorbid conditions. Between the Derivation and Confirmation Cohorts, the areas under the receiver operating characteristic curves were found to be 0.80 [95% confidence interval (CI) 0.799, 0.802] and 0.80 (95% CI 0.800, 0.802), respectively, indicating good discrimination for determining at-risk veterans. CONCLUSIONS AND IMPLICATIONS We created a predictive algorithm that identifies veterans at highest risk for long-term institutionalization or death. This algorithm provides clinicians with information that can proactively inform clinical decision making and care coordination. This study provides the groundwork for future investigations on how home- and community-based services can target older adults at highest risk to extend time in their communities.
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Affiliation(s)
- Caroline Madrigal
- Center of Innovation in Long Term Services and Supports, Providence VA Medical Center, Providence, RI, USA; Brown School of Public Health, Providence, RI, USA
| | - Christopher W Halladay
- Center of Innovation in Long Term Services and Supports, Providence VA Medical Center, Providence, RI, USA; Brown School of Public Health, Providence, RI, USA
| | - Kevin McConeghy
- Center of Innovation in Long Term Services and Supports, Providence VA Medical Center, Providence, RI, USA; Brown School of Public Health, Providence, RI, USA
| | - Natalie A Correa
- Warren Alpert Medical School of Brown University, Providence, RI, USA
| | | | - Daniel Strauss
- Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - Stefan Gravenstein
- Center of Innovation in Long Term Services and Supports, Providence VA Medical Center, Providence, RI, USA; Brown School of Public Health, Providence, RI, USA; Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - Richard W Besdine
- Brown School of Public Health, Providence, RI, USA; Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - Thomas P O'Toole
- Center of Innovation in Long Term Services and Supports, Providence VA Medical Center, Providence, RI, USA; Brown School of Public Health, Providence, RI, USA; Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - James L Rudolph
- Center of Innovation in Long Term Services and Supports, Providence VA Medical Center, Providence, RI, USA; Brown School of Public Health, Providence, RI, USA; Warren Alpert Medical School of Brown University, Providence, RI, USA.
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20
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Duan-Porter W, Ullman K, Rosebush C, McKenzie L, Ensrud KE, Ratner E, Greer N, Shippee T, Gaugler JE, Wilt TJ. Interventions to Prevent or Delay Long-Term Nursing Home Placement for Adults with Impairments-a Systematic Review of Reviews. J Gen Intern Med 2020; 35:2118-2129. [PMID: 31898134 PMCID: PMC7352002 DOI: 10.1007/s11606-019-05568-5] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/05/2019] [Revised: 11/05/2019] [Accepted: 11/20/2019] [Indexed: 12/14/2022]
Abstract
BACKGROUND With continued growth in the older adult population, US federal and state costs for long-term care services are projected to increase. Recent policy changes have shifted funding to home and community-based services (HCBS), but it remains unclear whether HCBS can prevent or delay long-term nursing home placement (NHP). METHODS We searched MEDLINE (OVID), Sociological Abstracts, PsycINFO, CINAHL, and Embase (from inception through September 2018); and Cochrane Database of Systematic Reviews, Joanna Briggs Institute Database, AHRQ Evidence-based Practice Center, and VA Evidence Synthesis Program reports (from inception through November 2018) for English-language systematic reviews. We also sought expert referrals. Eligible reviews addressed HCBS for community-dwelling adults with, or at risk of developing, physical and/or cognitive impairments. Two individuals rated quality (using modified AMSTAR 2) and abstracted review characteristics, including definition of NHP and interventions. From a prioritized subset of the highest-quality and most recent reviews, we abstracted intervention effects and strength of evidence (as reported by review authors). RESULTS Of 47 eligible reviews, most focused on caregiver support (n = 10), respite care and adult day programs (n = 9), case management (n = 8), and preventive home visits (n = 6). Among 20 prioritized reviews, 12 exclusively included randomized controlled trials, while the rest also included observational studies. Prioritized reviews found no overall benefit or inconsistent effects for caregiver support (n = 2), respite care and adult day programs (n = 3), case management (n = 4), and preventive home visits (n = 2). For caregiver support, case management, and preventive home visits, some reviews highlighted that a few studies of higher-intensity models reduced NHP. Reviews on other interventions (n = 9) generally found a lack of evidence examining NHP. DISCUSSION Evidence indicated no benefit or inconsistent effects of HCBS in preventing or delaying NHP. Demonstration of substantial impacts on NHP may require longer-term studies of higher-intensity interventions that can be adapted for a variety of settings. Registration PROSPERO # CRD42018116198.
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Affiliation(s)
- Wei Duan-Porter
- Center for Care Delivery and Outcomes Research, VAHSRD Minneapolis VA Health Care System, Minneapolis, MN, USA.
- University of Minnesota Medical School, Minneapolis, MN, USA.
| | - Kristen Ullman
- Center for Care Delivery and Outcomes Research, VAHSRD Minneapolis VA Health Care System, Minneapolis, MN, USA
| | - Christina Rosebush
- Center for Care Delivery and Outcomes Research, VAHSRD Minneapolis VA Health Care System, Minneapolis, MN, USA
- School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Lauren McKenzie
- Center for Care Delivery and Outcomes Research, VAHSRD Minneapolis VA Health Care System, Minneapolis, MN, USA
| | - Kristine E Ensrud
- Center for Care Delivery and Outcomes Research, VAHSRD Minneapolis VA Health Care System, Minneapolis, MN, USA
- University of Minnesota Medical School, Minneapolis, MN, USA
- School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Edward Ratner
- University of Minnesota Medical School, Minneapolis, MN, USA
- Geriatric Research Education & Clinical Center, Minneapolis VA Health Care System, Minneapolis, MN, USA
| | - Nancy Greer
- Center for Care Delivery and Outcomes Research, VAHSRD Minneapolis VA Health Care System, Minneapolis, MN, USA
| | - Tetyana Shippee
- School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Joseph E Gaugler
- School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Timothy J Wilt
- Center for Care Delivery and Outcomes Research, VAHSRD Minneapolis VA Health Care System, Minneapolis, MN, USA
- University of Minnesota Medical School, Minneapolis, MN, USA
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21
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de Almeida Mello J, Cès S, Vanneste D, Van Durme T, Van Audenhove C, Macq J, Fries B, Declercq A. Comparing the case-mix of frail older people at home and of those being admitted into residential care: a longitudinal study. BMC Geriatr 2020; 20:195. [PMID: 32503445 PMCID: PMC7275336 DOI: 10.1186/s12877-020-01593-w] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2019] [Accepted: 05/21/2020] [Indexed: 11/23/2022] Open
Abstract
Background In order to optimize interventions and services in the community, it is important to identify the profile of persons who are able to stay at home and of those who are being admitted into residential care. Understanding their needs and their use of resources is essential. The main objective of the study is to identify persons who are likely to enter residential care based upon their needs and resource utilization, so that care providers can plan interventions effectively and optimize services and resources to meet the persons’ needs. Methods This is a longitudinal quasi-experimental study. The data consists of primary data from the community setting collected every six months during the period of 2010–2016. Interventions had the goal of keeping older people longer at home. Participants were at least 65 years old and were living in the community. The interRAI Resource Utilization Group system (RUG-III) was used to calculate the case-mix indexes (CMI) of all participants. Comparisons were made between the case-mix of those who were still living at home and those who were admitted into residential care at follow-up. Results A total of 10,289 older persons participated in the study (81.2 ± 7.1 yrs., 69.1% female). From this population, 853 participants (8.3%) were admitted into residential care. The CMI of the persons receiving night care at home were the highest (1.6 at baseline and 1.7 at the entry point of residential care), followed by persons receiving occupational therapy (1.5 at baseline and 1.6 at the entry point of residential care) and persons enrolled in case management interventions with rehabilitation (1.4 at baseline and 1.6 at the entry point of residential care). The CMIs at follow-up were significantly higher than at baseline and the linear regression model showed that admission to residential care was a significant factor in the model. Conclusions The study showed that the RUG-III system offers possibilities for identifying persons at risk of institutionalization. Interventions designed to avoid early nursing home admission can make use of the RUG-III system to optimize care planning and the allocation of services and resources. Based on the RUG-III case-mix, resources can be allocated to keep older persons at home longer, bearing in mind the complexity of care and the availability of services in the community.
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Affiliation(s)
| | - Sophie Cès
- Institute of Health and Society, Université Catholique de Louvain, Brussels, Belgium
| | - Dirk Vanneste
- LUCAS, Center for Care Research and Consultancy, KULeuven, Leuven, Belgium
| | - Thérèse Van Durme
- Institute of Health and Society, Université Catholique de Louvain, Brussels, Belgium
| | | | - Jean Macq
- Institute of Health and Society, Université Catholique de Louvain, Brussels, Belgium
| | - Brant Fries
- School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Anja Declercq
- LUCAS, Center for Care Research and Consultancy, KULeuven, Leuven, Belgium.,CeSO: Centre for Sociological Researc, KULeuven, Leuven, Belgium
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