Common Chronic Diseases In Older Adults

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Common Chronic Diseases In Older Adults – The dr. Christine Caffrey; Dr Manisha Sengupta; Dr. Eunice Park-Lee; Abigail Moss; Emily Rosenoff, MPA; and Dr. Lauren Harris-Kojetin.

People who live in state-controlled nursing homes (RCFs) – for example, nursing home residents – receive housing and support services because they cannot live alone, but they generally do not need the specialized care that nursing homes provide. The ability to provide a comprehensive picture of the long-term care industry is limited by the lack of data on the RCF (1-4). Previous estimates of the number of inhabitants of the RCF vary depending on how the RCF is defined (5-7). A recent NCHS data set (5) shows that 733,300 people were in ICUs nationwide each day in 2010. Using data from the first nationally representative survey of ICUs with four or more beds, the report presents here are national estimates of RCF residents by selected resident characteristics.

Common Chronic Diseases In Older Adults

Common Chronic Diseases In Older Adults

It covers 2% of people who receive help with toilet equipment such as a stoma, indwelling catheter, chairs, etc.

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Almost three quarters of the residents have ever been diagnosed with at least 2 of the 10 most common chronic diseases.

In 2010, nursing home residents were predominantly non-Hispanic Caucasian women aged 85 and older, with an average length of stay of approximately 22 months. For about 20% of residents – or 137,700 people – Medicaid paid for at least some long-term care services provided by the RCF. This estimate is similar to that found in a recent study (3). Nearly 40% of the single-family residents received help with three or more ADL limitations, and more than 40% had Alzheimer’s disease or another dementia. These findings suggest a vulnerable population with a heavy burden of functional and cognitive impairment.

Residential care is an important part of America’s long-term care system. This report provides national estimates of the number of people living in RCF, using data from the first ever national probability survey of RCF samples with four or more beds. This brief profile of nursing home residents can provide useful information for policymakers, health care providers, and consumer advocates planning for the future long-term care needs of older and younger adults. Additionally, these results serve as key national estimates as researchers continue to track growth and change in the housing sector.

Length of Stay: Based on the month and year the resident first moved into the RCF and the month and year of the interview.

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Medicaid Beneficiary: A resident who received Medicaid-paid RCF long-term care services in the 30 days prior to the interview.

Charges: The total cost for the month prior to the call, including the basic monthly charge and any additional service charges.

Assistance with activities of daily living (ADL): This refers to assistance with the five ADLs (Bathing, Dressing, Moving, Toileting and Eating) that reflect a resident’s ability to care for themselves. A summary variable was created with three categories: Unlimited, 1-2 Restrictions, and 3-5 Restrictions. For residents confined to a bed or chair, the survey did not ask if the resident received mobility assistance. In the current analyses, 12% of wheelchair-bound or bedridden residents were defined as assisted residents in the transfer and ADL summary variables. The 2% of residents assisted by a toileting device, such as a stoma, catheter, or chair-mounted device, were defined as toileting assistance and ADL summary variables.

Common Chronic Diseases In Older Adults

Most Common Chronic Conditions: Includes the 10 most common chronic conditions ever diagnosed by a physician or other health care professional, based on RCF staff references to the resident’s medical records or the resident’s personal information. A summary variable was created with four categories: no conditions, one condition, 2–3 conditions, and 4–10 conditions.

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Resident data from the 2010 National Survey of Residential Care Facilities (NSRCF) was used for these analyses. To be eligible for the NSRCF, RCFs must be licensed, registered, listed, certified or otherwise regulated by the state; has four or more licensed, certified or registered beds; and providing room and board with at least two meals a day, 24-hour on-site supervision, and assistance with personal care, such as bathing and dressing, or health-related services, such as medication management. These RCFs also serve a predominantly elderly population. RCFs licensed to serve the population of people with mental illness or developmental disabilities are excluded. Nursing homes were also excluded if they did not have a unit or wing that met the above definition and their occupants could be counted separately.

The 2010 NSRCF study used a two-stage stratified probability sampling design. The first step was to select an RCF from a sampling frame represented by the RCF universe. For NSRCF 2010, 3,605 RCFs were sampled with probability proportional to the size of the object. Interviews were completed and 2302 RCFs yielded a site-level weighted first-stage response rate of 81%, which was weighted for differential selection probabilities. In the second phase of the draw, 3 to 6 current residents were selected, depending on the size of the RCF bed. All data collected on selected residents came from interviews with RCF staff members who answered questions by referring to the residents’ medical records or their own knowledge of the residents; residents were never questioned. In the second stage, the weighted response rate at resident level was 99%. A detailed description of the NSRCF sampling project, data collection and procedures is available both in the previous report (8) and on the NSRCF website.

A t test procedure was used to perform pairwise comparisons. The significant results of the post hoc procedure are reported here. All significance tests were two-sided

< 0.05 as significance level. A difference between two estimates is reported only when it is statistically significant. The absence of comments regarding the difference between two statistics does not necessarily mean that the difference has been tested and found to be statistically insignificant. Data analyzes were performed using SUDAAN callable SAS statistical package version 10.0 (9). Cases with missing data were excluded from univariate analyses. The percentage of weighted cases with missing data ranged from 0.01% to 2.5%. As estimates are rounded, individual estimates may not add to the total.

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Christine Caffrey, Manisha Sengupta, Eunice Park-Lee, Abigail Moss and Lauren Harris-Kojetin are employees of the Centers for Disease Control and Prevention of the National Center for Health Statistics, Division of Healthcare Statistics. Emily Rosenoff works in the Department of Health and Human Services, Deputy Secretary of the Office of Planning and Evaluation for Disability, Aging and Long-Term Care Policy.

Caffrey C, Sengupta M, Park-Lee E et al. Residents: United States, 2010. NCHS Data Sheet No. 91. Hyattsville, MD: National Center for Health Statistics. 2012.

All material contained in this report is in the public domain and may be reproduced or copied without permission; however, citations are welcome.

Common Chronic Diseases In Older Adults

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Modifiable Risk Factors For Alzheimer Disease And Related Dementias Among Adults Aged ≥45 Years — United States, 2019

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