Cited by 12Geriatric Care and Nursing HomesAging, Elder Care, and Social IssuesAging, Health, and Disability

Preexisting Medical Conditions in Adult Day Services: An Examination of Nonmetropolitan and Metropolitan Admissions

Travis, S. S., McAuley, W. J.·1999·The Journals of Gerontology Series A: Biological Sciences and Medical Sciences

Abstract

BACKGROUND: It is not known what health conditions are being managed by day services staff because, to date, there is virtually no research on the types of preexisting medical conditions that clients bring to these community-based settings. Furthermore, it is not known whether or how nonmetropolitan clients differ from their metropolitan counterparts. METHODS: Census data for 1,448 individuals who were admitted to adult day services in Maryland during 1993 were examined. Variables were included for client characteristics, medical diagnoses at admission (based upon ICD-9-CM categories), and adult day center location (metropolitan vs. nonmetropolitan). RESULTS: Persons admitted to nonmetropolitan centers were more likely than those entering metropolitan centers to be diagnosed as having musculoskeletal, respiratory, cardiovascular, and endocrine conditions and as having a malignant neoplasm. Admissions to metropolitan centers were significantly more likely to be diagnosed with Alzheimer's disease. After using multiple logistic regression to control for a number of client characteristics, location of the facility remained significantly associated with all listed admission diagnoses except musculoskeletal conditions. CONCLUSION: Nonmetropolitan centers are caring for a distinctly different type of long-term care client than metropolitan centers, perhaps because few other long-term care options are available to families in sparsely populated settings. The differences in the medical conditions of their clients should affect most aspects of the day services program, including budgets for appropriate professional staff, staff qualifications, resources for client/family education and counseling, and expected outcomes.

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Crossref · 10.1093/gerona/54.5.m262

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  • Executive planning and organizational skills are important to maintaining functional independence.

    “Executive planning and organizational skills appear to be important to maintaining functional independence (4–7) and appear to be particularly vulnerable to declines at later ages (8–10) along with the prefrontal cortical regions of the brain that support them (11–14).”

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Authors
Travis, S. S., & McAuley, W. J.
Affiliations
  • University of Oklahoma (US)
  • University of Oklahoma Health Sciences Center (US)
Venue
The Journals of Gerontology Series A: Biological Sciences and Medical Sciences
Published
1999-05-01
Volume
54
Issue
5
Pages
M262-M266
ISSN
  • 1079-5006 (ISSN-L)
  • 1758-535X
OpenAlex
W2143190576
Cited by
12
References
5
Citations by year
2014: 2
FWCI
3.67
Type
journal article
Language
en
Open access
closed
Locations
  • The Journals of Gerontology Series A (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Health Professions › General Health Professions › Geriatric Care and Nursing Homes
  • Health Sciences › Health Professions › General Health Professions › Aging, Elder Care, and Social Issues
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Aging, Health, and Disability
Keywords
adult day care, pre-existing conditions, long-term care, non-metropolitan areas, metropolitan areas, Alzheimer's disease, musculoskeletal disorders, cardiovascular conditions, respiratory diseases, endocrine conditions, cancer, admission diagnosis, community-based care, urban-rural differences
MeSH terms
Workforce, Adult, Aged, Alzheimer Disease, Budgets, Cardiovascular Diseases, Counseling, Day Care, Medical, Disease, Endocrine System Diseases, Female, Health Education, Health Personnel, Health Resources, Humans, Long-Term Care, Male, Maryland, Middle Aged, Musculoskeletal Diseases, Patient Admission, Respiratory Tract Diseases, Rural Health, Urban Health, Chi-Square Distribution, Logistic Models, Outcome Assessment, Health Care

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