New Composite Measure for ADL Limitations: Application to Predicting Nursing Home Placement for Michigan MI Choice Clients

2019 ◽  
pp. 107755871988673 ◽  
Author(s):  
Hyokyoung G. Hong ◽  
Hong-Su An ◽  
Erin Sarzynski ◽  
Kathleen Oberst

Functional status measured by activities of daily living (ADL) may be used to predict nursing home placement. Scoring of ADL measures is summarized for convenience, yet this is accompanied by losing detail regarding deficits. We sought to determine whether a revised composite measure tailored to Michigan Medicaid beneficiaries would better identify those at risk for nursing home admission. We compared composite ADL measures created by exploratory factor analysis and additive modeling to Medicaid Enrollment, MI Choice Waiver program, and Nursing Facility claims data from 2013 to 2017. There were moderate to high levels of correlation between ADLs (.4-.82). Exploratory factor analysis extracted two factors, corresponding to domains of mobility or self-care tasks. Application of the self-care-based ADL limitations composite measure provided prediction power equivalent to an additive measure incorporating all ADL limitations for nursing home admission. This approach demonstrated improved interpretability with the need for just five measures.

2016 ◽  
Vol 29 (2) ◽  
pp. 195-208 ◽  
Author(s):  
Sandeep Toot ◽  
Tom Swinson ◽  
Mike Devine ◽  
David Challis ◽  
Martin Orrell

ABSTRACTBackground:Up to half of people with dementia in high income countries live in nursing homes and more than two-thirds of care home residents have dementia. Fewer than half of these residents report good quality of life and most older people are anxious about the prospect of moving into a nursing home. Robust evidence is needed as to the causes of admission to nursing homes, particularly where these risk factors are modifiable.Methods:We conducted a systematic literature search to identify controlled comparison studies in which the primary outcome was admission to nursing home of older adults with dementia. Identified studies were assessed for validity and 26 (17 cohort and 9 case-control) were included. Qualitative and quantitative analyses were conducted, including meta-analysis of 15 studies.Results:Poorer cognition and behavioral and psychological symptoms of dementia (BPSD) were consistently associated with an increased risk of nursing home admission and most of our meta-analyses demonstrated impairments in activities of daily living as a significant risk. The effects of community support services were unclear, with both high and low levels of service use leading to nursing home placement. There was an association between caregiver burden and risk of institutionalization, but findings with regard to caregiver depression varied, as did physical health associations, with some studies showing an increased risk of nursing home placement following hip fracture, reduced mobility, and multiple comorbidities.Conclusion:We recommend focusing on cognitive enhancement strategies, assessment and management of BPSD, and carer education and support to delay nursing home placement.


2016 ◽  
Vol 4 ◽  
pp. 205031211666187 ◽  
Author(s):  
Candace N Porter ◽  
Margaret C Miller ◽  
Marcia Lane ◽  
Carol Cornman ◽  
Khaled Sarsour ◽  
...  

Objectives: Behavioral and psychological symptoms of dementia in individuals with Alzheimer’s disease and caregiver characteristics may influence the decision to provide care at home or in a nursing home, though few studies examine this association near the actual time of nursing home placement. Using a matched case–control design, this study investigates the association between (1) total Neuropsychiatric Inventory score, (2) the Neuropsychiatric Inventory-4 (an agitation/aggression subscale), and (3) individual domains of the Neuropsychiatric Inventory and nursing home placement. Methods: Data from the South Carolina Alzheimer’s disease Registry provides an opportunity to expand the literature by looking at cases at the time of nursing home care eligibility/placement and allowing for propensity-score-matched controls. Cases (n = 352) entered a nursing home within 6 months of study initiation; controls (n = 289) remained in the community. Registry data were combined with caregiver survey data, including the Neuropsychiatric Inventory. Conditional logistic regression was applied. Results: A 10% increase in the Neuropsychiatric Inventory score implied a 30% increase in odds of nursing home admission (odds ratio: 1.30; 95% confidence interval: 1.14–1.50), having married or male caregivers predicted nursing home placement. Cases versus controls were significantly more likely to have behavioral and psychological symptoms of dementia related to agitation/aggression 1 month prior to nursing home admission. Conclusion: Interventions targeting behavioral and psychological symptoms of dementia without available effective interventions in individuals with Alzheimer’s disease and caregiver support services are necessary to prevent or delay nursing home admission.


1986 ◽  
Vol 76 (4) ◽  
pp. 457-459 ◽  
Author(s):  
M Weinberger ◽  
J C Darnell ◽  
W M Tierney ◽  
B L Martz ◽  
S L Hiner ◽  
...  

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 867-867

Abstract Low mobility in the hospital, defined as mobility limited to bed rest or bed to chair transfers, is associated with high rates of functional decline, nursing home placement, and death even after adjusting for illness severity and comorbidity. This lecture will describe the gradual of building of evidence for both the adverse outcomes and potential solutions at both an individual and a health system level to address the challenge of low mobility.


1992 ◽  
Vol 47 (4) ◽  
pp. S173-S182 ◽  
Author(s):  
F. D. Wolinsky ◽  
C. M. Callahan ◽  
J. F. Fitzgerald ◽  
R. J. Johnson

2010 ◽  
Vol 49 (8) ◽  
pp. 734-752 ◽  
Author(s):  
Katherina A. Nikzad-Terhune ◽  
Keith A. Anderson ◽  
Robert Newcomer ◽  
Joseph E. Gaugler

Author(s):  
Raúl Juárez-Vela ◽  
Angela Durante ◽  
Rosa Antonio-Oriola ◽  
Vicente Gea-Caballero ◽  
Michał Czapla ◽  
...  

Background: Heart failure (HF) is a major and growing public health problem worldwide. Across the world, heart failure is associated with high mortality, high hospitalization rates, and poor quality of life. Self-care is defined as a naturalistic decision-making process involving the choice of behaviors that maintain physiologic stability, the response to symptoms when they occur, and the ability to follow the treatment regimen and control symptoms. One instrument used to measure self-care is the Self Care of Heart Failure Index. Aim: The purpose of this study was to test the psychometric properties of the Spanish version of the Self Care of Heart Failure Index v.6.2 (SCHFI v.6.2). Methodology: Before testing its psychometric properties, the SCHFI v.6.2 was translated and adapted from its original English version into Spanish. Subsequently, we tested the instrument’s psychometric properties on a sample of 203 participants with HF. Descriptive statistics were used to analyze the sociodemographic and clinical variables, and to describe item responses. We tested the factorial validity of the SCHFI v.6.2 using confirmatory and exploratory factor analysis. Results: Confirmatory factor analysis (CFA) was performed using the our pre-existing models which resulted with poor fit indices. Thus, we performed exploratory factor analysis (EFA) on each of the SCHFI v.6.2 scales. Conclusion: The Spanish version of the SCHFI v.6.2. has good characteristics of factorial validity and can be used in clinical practice and research to measure self-care in patients with HF.


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